Wetenschappelijke publicaties

Publicaties op basis van onderzoek in de ESA-Climate Change Initiative gemeenschap

Toegang tot de uitgebreide bibliografie met betrekking tot het programma van het Climate Change Initiative.

2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012

2023

Acquistapace, A. N. Meroni, G. Labbri, D. Lange, F. Späth, S. Abbas and H. Bellenger (2023). Fast atmospheric response to a cold oceanic mesoscale patch in the north-western tropical Atlantic doi:10.1029/2022JD036799

Agustí-Panareda et al., 2023: Agustí-Panareda, A., Barré, J., Massart, S., Inness, A., Aben, I., Ades, M., Baier, B. C., Balsamo, G., Borsdorff, T., Bousserez, N., Boussetta, S., Buchwitz, M., Cantarello, L., Crevoisier, C., Engelen, R., Eskes, H., Flemming, J., Garrigues, S., Hasekamp, O., Huijnen, V., Jones, L., Kipling, Z., Langerock, B., McNorton, J., Meilhac, N., Noël, S., Parrington, M., Peuch, V.-H., Ramonet, M., Razinger, M., Reuter, M., Ribas, R., Suttie, M., Sweeney, C., Tarniewicz, J., and Wu, L.: Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020, Atmos. Chem. Phys., 23, 3829–3859, https://doi.org/10.5194/acp-23-3829-2023.

Araza, A., de Bruin, S., Hein, L. and Herold, M. 2023 Spatial predictions and uncertainties of forest carbon fluxes for carbon accounting. Sci Rep 13, 12704. https://doi.org/10.1038/s41598-023-38935-8

Ayari, EmnaZohra Lili-Chabaane, Zeineb Kassouk, Lionel Jarlan, Nemesio Rodriguez-Fernandez, Nicolas Baghdadi and Mehrez Zribi Impact of satellite-derived vegetation descriptors on surface soil moisture retrieval over wheat fields in the Kairouan Plain. Advances in Space Science, 2023, European Journal of Remote Sensing, doi: 10.1080/22797254.2023.2260555

Berg Danjal, Valentina Barletta, Javed Hassan, Eigil Lippert, William Colgan, Michael Bevis, Rebekka Steffen (Lantmäteriet), Shfaqat Khan (DTU Space). Vertical land motion due to present-day ice loss from Greenland's and Canada's peripheral glaciers, : AGU Geophysical Research Letters.

Bessenbacher, V., Schumacher, D. L., Hirschi, M., Seneviratne, S. I., and Gudmundsson, L. (2023). Gap-filled multivariate observations of global land–climate interactions. Journal of Geophysical Research: Atmospheres, 128, e2023JD039099. https://doi.org/10.1029/2023JD039099.

Barletta Valentina R, Andrea Bordoni, Shfaqat Abbas Khan. Journal: AGU GRL. Heat stored in the Earth system 1960–2020: where does the energy go?, von Schuckmann et al., 2023, published on Earth System Science Data, 15, 1675–1709, https://doi.org/10.5194/essd-15-1675-2023 Bock, L. and Lauer, A.: Cloud properties and their projected changes in CMIP models with low/medium/high climate sensitivity, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1086, 2023

Biancamaria,Sylvain, Alice Andral, Silvia Barbetta, Malik Boussaroque, Luca Brocca, Beatriz Calmettes, Stefania Camici, Paolo Filippucci, Laetitia Gal, Gilles Larnicol, Julien Lefebve, Simon Munier, Fabrice Papa, Adrien Paris, Vanessa Pedinotti,, Nicolas Taburet, Angelica Tarpanelli, Elena Zakharova, Clément Albergel and Jérôme Benveniste. A New ESA Precursor Project on River Discharge. GEWEX newsletter, Vol 33 n°2. https://www.gewex.org/gewex-content/files_mf/1685746439Q22023.pdf

Bonino et al. (2023) Southern Europe and western Asian marine heatwaves (SEWA-MHWs): a dataset based on macroevents. https://doi.org/10.5194/essd-15-1269-2023

Boutin, J., Yueh, S., Bindlish, R. et al. Soil Moisture and Sea Surface Salinity Derived from Satellite-Borne Sensors. Surv Geophys (2023). https://doi.org/10.1007/s10712-023-09798-5

Cretaux, JF., Calmant, S., Papa, F. et al. Inland Surface Waters Quantity Monitored from Remote Sensing. Surv Geophys (2023). https://doi.org/10.1007/s10712-023-09803-x

Derksen, C. and L. Mudryk. 2023. Assessment of Arctic seasonal snow cover rates of change. The Cryosphere, 17, 1431–1443, https://doi.org/10.5194/tc-17-1431-2023.

Döhne et al., 2023. The sensitivity kernel perspective on GRACE mass change estimates. Journal of Geodesy. DOI:10.1007/s00190-022-01697-8

Lambiel, Christophe Tazio Strozzi, Nicolas Paillex, Sebastián Vivero & Nina Jones (2023) Inventory and kinematics of active and transitional rock glaciers in the Southern Alps of New Zealand from Sentinel-1 InSAR, Arctic, Antarctic, and Alpine Research, 55:1, 2183999, DOI: 10.1080/15230430.2023.2183999.

Lin et al. GHG-CCI methane retrievals have been used in ., “Recent methane surges reveal heightened emissions from tropical inundated areas”, preprint available from EarthArXiv (https://eartharxiv.org/repository/view/5895/).

Hunka, N., Santoro, M., Armston. J. et al. On the NASA GEDI and ESA CCI biomass maps: aligning for uptake in the UNFCCC global stocktake. Environmental Research Letters (2023) https://doi.org/10.1088/1748-9326/ad0b60
Kääb A, Bazilova V, Leclercq PW, Mannerfelt ES, Strozzi T (2023b): Global clustering of recent glacier surges from radar backscatter data, 2017–2022. J. Glaciol., doi.org/10.1017/jog.2023.35

Kääb, A. and Girod, L. (2023): Brief communication: Rapid ∼ 335 × 106 m3 bed erosion after detachment of the Sedongpu Glacier (Tibet), The Cryosphere, 17, 2533–2541.

Kaps, A., A. Lauer, G. Camps-Valls, P. Gentine, L. Gómez-Chova and V. Eyring, "Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023, Art no. 4100515, doi: 10.1109/TGRS.2023.3237008.

Kaps, A., Lauer, A., Kazeroni, R., Stengel, M., and Eyring, V.: Characterizing clouds with the CCClim dataset, a machine learning cloud class climatology, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2023-424, in review, 2023.

Langer, M., von Deimling, T.S., Westermann, S., Rolph, R., Rutte, R., Antonova, S., Rachold, V., Schultz, M., Oehme A., Grosse G. Thawing permafrost poses environmental threat to thousands of sites with legacy industrial contamination. Nat Commun 14, 1721 (2023). https://doi.org/10.1038/s41467-023-37276-4.

Lisovski, S., Runge, A., Shevtsova, I., Landgraf, N., Morgenstern, A., Okoth, R. R., Fuchs, M., Lashchinskiy, N., Stadie, C., Beamish, A., Grosse, G., Herzschuh, U., and Heim B., (pre-print) A habitat map of the Lea Delta in Arctic Siberia at 10-m resolution from merging field and remote sensing datasets. https://doi.org/10.5194/essd-2023-36

Meyssignac et al. How accurate is accurate enough for measuring sea level rise and variability” Nature Climate Change.

Montero et al., "SSS Estimates From AMSR-E Radiometer in the Bay of Bengal: Algorithm Principles and Limits," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-21, 2023, Art no. 4206921, doi: 10.1109/TGRS.2023.3305203

Otosaka et al., 2023, Mass balance of the Greenland and Antarctic ice sheets from 1992 to 2020. Earth System Science Data, 15, 1597–1616., DOI:10.5194/essd-2022-261

Schepaschenko, Krzysztof Stereńczak, Lars Hein (2023). Past decade above-ground biomass change comparisons from four multi-temporal global maps. Sofieva, V. F., Szelag, M., Tamminen, J., Arosio, C., Rozanov, A., Weber, M., Degenstein, D., Bourassa, A., Zawada, D., Kiefer, M., Laeng, A., Walker, K. A., Sheese, P., Hubert, D., van Roozendael, M., Retscher, C., Damadeo, R., and Lumpe, J. D.: Updated merged SAGE-CCI-OMPS+ dataset for the evaluation of ozone trends in the stratosphere, Atmos. Meas. Tech., 16, 1881–1899, https://doi.org/10.5194/amt-16-1881-2023, 2023.

Vinjamuri, K. S., Vountas, M., Lelli, L., Stengel, M., Shupe, M. D., Ebell, K., and Burrows, J. P.: Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic, Atmos. Meas. Tech., 16, 2903–2918, https://doi.org/10.5194/amt-16-2903-2023, 2023.

Winkelmann, R., Steinert, N.J., Armstrong McKay, D.I., Brovkin, V., Kääb, A., Notz, D. et al. (2023): Tipping points in the cryosphere. In: Lenton, T.M. et al. (eds), The Global Tipping Points Report 2023. University of Exeter, Exeter, UK, pp. 56-77. Online: https://global-tipping-points.org/

Xu F., Zhang G., Woolway I., Yang K., Wada Y., Wang J., Cretaux J-F. Continuous lake expansion threatens living environment of Tibetan Plateau. Nature Geosciences Yang Hui , Philippe Ciais, Frédéric Frappart, Xiaojun Li, Martin Brandt, Rasmus Fensholt, Lei Fan, Sassan Saatchi, Simon Besnard, Zhu Deng, Simon Bowring & Jean-Pierre Wigneron 2023 Global increase in biomass carbon stock dominated by growth of northern young forests over past decade. Nature geoscience. https://doi.org/10.1038/s41561-023-01274-4

Yao F., Ben Livneh B., Rajagopalan B., Wang J., Crétaux J-F., Wada Y., Berge-Nguyen M., 2023, Satellites reveal widespread decline in global lake water storage Science, 380, 743-749, 2023. https://doi.org/10.1126/science.abo2812

Zohner, Mo, L., C.M., Reich, P.B. et al. Integrated global assessment of the natural forest carbon potential. Nature (2023). https://doi.org/10.1038/s41586-023-06723-z Paul, F., Baumann, S., Anderson, B, and Rastner, P. (2023): Deriving a year 2000 glacier inventory for New Zealand from the existing 2016 inventory. Ann. Glaciol., 90: https://doi.org/10.1017/aog.2023.20

Zschenderlein, L., K. Luojus, M. Takala, P. Venäläinen, and J. Pulliainen. 2023. Evaluation of passive microwave dry snow detection algorithms and application to SWE retrieval during seasonal snow accumulation. Remote Sensing of Environment, vol. 288, p. 113476, https://doi.org/10.1016/j.rse.2023.113476.

2022

Acosta Navarro, J.C., García-Serrano, J., Lapin, V., Ortega, P. (2022) Added value of assimilating springtime Arctic sea ice concentration in summer-fall climate predictions. Environmental Research Letters, 17 (6), https://doi.org/10.1088/1748-9326/ac6c9b

Afonso Ferreira, Joaquim Dias, Vanda Brotas, Ana C. Brito. A perfect storm: An anomalous offshore phytoplankton bloom event in the NE Atlantic (March 2009), Science of The Total Environment. Volume 806, Part 3, 2022, https://doi.org/10.1016/j.scitotenv.2021.151253

Agustí-Panareda, A., Barré, J., Massart, S., Inness, A., Aben, I., Ades, M., Baier, B. C., Balsamo, G., Borsdorff, T., Bousserez, N., Boussetta, S., Buchwitz, M., Cantarello, L., Crevoisier, C., Engelen, R., Eskes, H., Flemming, J., Garrigues, S., Hasekamp, O., Huijnen, V., Jones, L., Kipling, Z., Langerock, B., McNorton, J., Meilhac, N., Noël, S., Parrington, M., Peuch, V.-H., Ramonet, M., Razinger, M., Reuter, M., Ribas, R., Suttie, M., Sweeney, C., Tarniewicz, J., and Wu, L.: Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020, Atmos. Chem. Phys., 23, 3829–3859, https://doi.org/10.5194/acp-23-3829-2023.

Ayari Emna, Lili-Chabaane, Zeineb Kassouk, Lionel Jarlan, Nemesio Rodriguez-Fernandez,Nicolas Baghdadi and Mehrez Zribi Impact of satellite-derived vegetation descriptors on surface soil moisture retrieval over wheat fields in the Kairouan Plain. Advances in Space Science, 2023, European Journal of Remote Sensing, doi: 10.1080/22797254.2023.2260555

Bartsch, A., Bergstedt, H., Pointner, G., Muri, X., Rautiainen, K., Leppänen, L., Joly, K., Sokolov, A., Orekhov, P., Ehrich, D., and Soininen, E. M.: Towards long-term records of rain-on-snow events across the Arctic from satellite data, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-899, 2022.

Bastos, A., Ciais, P., Sitch, S. et al. On the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: lessons learned from ESA-CCI RECCAP2. Carbon Balance Manage 17, 15 (2022). https://doi.org/10.1186/s13021-022-00214-w

Bertone, A., Barboux, C., Bodin, X., Bolch, T., Brardinoni, F., Caduff, R., Christiansen, H. H., Darrow, M. M., Delaloye, R., Etzelmüller, B., Humlum, O., Lambiel, C., Lilleøren, K. S., Mair, V., Pellegrinon, G., Rouyet, L., Ruiz, L., and Strozzi, T.: Incorporating InSAR kinematics into rock glacier inventories: insights from 11 regions worldwide, The Cryosphere, 16, 2769–2792, https://doi.org/10.5194/tc-16-2769-2022, 2022.

Bock, L. and Lauer, A.: Cloud properties and their projected changes in CMIP models with low/medium/high climate sensitivity, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1086, 2023

Bonino et al. (2023) Southern Europe and western Asian marine heatwaves (SEWA-MHWs): a dataset based on macroevents. https://doi.org/10.5194/essd-15-1269-2023 Boutin, J., Yueh, S., Bindlish, R. et al. Soil Moisture and Sea Surface Salinity Derived from Satellite-Borne Sensors. Surv Geophys (2023). https://doi.org/10.1007/s10712-023-09798-5

Boutin, J., Yueh, S., Bindlish, R. et al. Soil Moisture and Sea Surface Salinity Derived from Satellite-Borne Sensors. Surv Geophys (2023). https://doi.org/10.1007/s10712-023-09798-5 Brotas V, Tarran GA, Veloso V, Brewin RJW, Woodward EMS, Airs R, Beltran C, Ferreira A and Groom SB (2022) Complementary Approaches to Assess Phytoplankton Groups and Size Classes on a Long Transect in the Atlantic Ocean. Frontiers in Marine Science. 8:682621. https://doi.org/10.3389/fmars.2021.682621

Brotas V, Tarran GA, Veloso V, Brewin RJW, Woodward EMS, Airs R, Beltran C, Ferreira A and Groom SB (2022) Complementary Approaches to Assess Phytoplankton Groups and Size Classes on a Long Transect in the Atlantic Ocean. Frontiers in Marine Science. 8:682621. https://doi.org/10.3389/fmars.2021.68262

Caronia Rossana , Monica Pinardi, Gary Free, Daniela Stroppiana, Lorenzo Parigi, Giulio Tellina, Mariano Bresciani, Claudia Giardino. Investigation of wildfire impacts on lake water quality using satellite-derived data: a global overview. Heliyon journal

Caznave A et al (2022) New network of virtual altimetry stations for measuring sea level along the world coastlines. https://doi.org/10.17882/74354

Cazenave, A., Gouzenes, Y., Birol, F. et al. Sea level along the world’s coastlines can be measured by a network of virtual altimetry stations. Commun Earth Environ 3, 117 (2022). https://doi.org/10.1038/s43247-022-00448-z

Chuvieco, E., Roteta, E., Sali, M., Stroppiana, D., Boettcher, M., Kirches, G., Storm, T., Khairoun, A., Pettinari, M.L., Franquesa, M., Albergel, C. (2022) Building a small fire database for Sub-Saharan Africa from Sentinel-2 high-resolution images. Science of the Total Environment 845, 157139, https://doi.org/10.1016/j.scitotenv.2022.157139

Coldewey-Egbers, M., Loyola, D. G., Lerot, C., and Van Roozendael, M.: Global, regional and seasonal analysis of total ozone trends derived from the 1995–2020 GTO-ECV climate data record, Atmos. Chem. Phys., 22, 6861–6878, https://doi.org/10.5194/acp-22-6861-2022, 2022

Collard, F., Marie, L., Nouguier, F., Kleinherenbrink, M., Ehlers, F., Ardhuin, F., (in press, J. Geophys. Res. Oceans). Wind-wave attenuation under sea ice in the Arctic: a review of remote sensing capabilities. https://doi.org/10.1002/essoar.10510961.1

Cretaux, JF., Calmant, S., Papa, F. et al. Inland Surface Waters Quantity Monitored from Remote Sensing. Surv Geophys (2023). https://doi.org/10.1007/s10712-023-09803-x Da, N. D., Foltz, G. R., & Balaguru, K. (2021). Observed global increases in tropical cyclone-induced ocean cooling and primary production. Geophysical Research Letters, 48, e2021GL092574. https://doi.org/10.1029/2021GL092574

Dalagnol, R., Wagner, F., H., Galvão, L., S. et al. Mapping tropical forest degradation with deep learning and Planet NICFI data. Remote Sensing of Environment. 2023. https://doi.org/10.1016/j.rse.2023.113798 DEng, Z et al (2022) Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Earth Syst. Sci. Data, 14, 1639–1675, 2022 https://doi.org/10.5194/essd-14-1639-2022

Derksen, C. and L. Mudryk. 2023. Assessment of Arctic seasonal snow cover rates of change. The Cryosphere, 17, 1431–1443, https://doi.org/10.5194/tc-17-1431-2023.

Dodet, G., Abdalla, S., Alday, M., Accensi, M., Bidlot, J., Ardhuin, F., 2022. Error characterization of significant wave heights in multi-decadal satellite altimeter product, model hindcast and in situ measurements, using triple collocation technique. Journal of Atmospheric and Oceanic Technology. https://doi.org/10.1175/JTECH-D-21-0179.1

Fan, L., Wigneron, JP., Ciais, P. et al. Siberian carbon sink reduced by forest disturbances. Nat. Geosci. (2022). https://doi.org/10.1038/s41561-022-01087-x

Fawcett, D., Sitch, S., Ciais, et al. (2022). Declining Amazon biomass due to deforestation and subsequent degradation losses exceeding gains. Global Change Biology, 00, 1–13. https://doi.org/10.1111/gcb.16513

Ferreira, A Joaquim Dias, Vanda Brotas, Ana C. Brito. A perfect storm: An anomalous offshore phytoplankton bloom event in the NE Atlantic (March 2009), Science of The Total Environment. Volume 806, Part 3, 2022, https://doi.org/10.1016/j.scitotenv.2021.151253

Franquesa, M., Rodriguez-Montellano, A.M., Chuvieco, E., Aguado, I. (2022) Reference Data Accuracy Impacts Burned Area Product Validation: The Role of the Expert Analyst. Remote Sensing 14(17), 4354; https://doi.org/10.3390/rs14174354

Franquesa, M., Stehman S.V., Chuvieco, E. (2022) Assessment and characterization of sources of error impacting the accuracy of global burned area products. Remote Sensing of Environment 280, 113214, https://doi.org/10.1016/j.rse.2022.113214

Free Gary, Mariano Bresciani, Monica Pinardi, Stefan Simis, Xiaohan Liu, Clément Albergel, Claudia Giardino, Investigating lake chlorophyll-a responses to the 2019 European double heatwave using satellite remote sensing, Ecological Indicators, Volume 142, 2022, 109217, ISSN 1470-160X, https://doi.org/10.1016/j.ecolind.2022.109217

Gbekton, P.G, J-F. Crétaux, M. Tchillibou, A. Carret, M. Delhoume, M. Bergé-Nguyen, F. Sylvestre. Lake Chad vegetation cover and surface water variations in response to rainfall fluctuations under recent climate conditions (2000-2020). State of the environment. Volume 857, Part 2,2023,159302,ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2022.159302

Gbetkom P-G , J-F Crétaux, S Biancamaria, A Blazquez, M Gosset, A Paris, M Tchilibou, L Gal, B Kitambo, R.A Jucá Oliveira, F Girard, E Berthier. Lake Tanganyika basin water storage variations analysis over 2003-2021 for water balance monitoring and flood study. Remote Sensing of Environment

Hachmeister, J., Schneising, O., Buchwitz, M., Lorente, A., Borsdorff, T., Burrows, J. P., Notholt, J., and Buschmann, M.: On the influence of underlying elevation data on Sentinel-5 Precursor satellite methane retrievals over Greenland, Atmos. Meas. Tech., 15, 4063–4074, https://doi.org/10.5194/amt-15-4063-2022, 2022.

Lilleøren, K. S., Etzelmüller, B., Rouyet, L., Eiken, T., Slinde, G., and Hilbich, C.: Transitional rock glaciers at sea level in northern Norway, Earth Surf. Dynam., 10, 975–996, https://doi.org/10.5194/esurf-10-975-2022, 2022.

Kääb, A. and Girod, L. (2023): Brief communication: Rapid ∼ 335 × 106 m3 bed erosion after detachment of the Sedongpu Glacier (Tibet), The Cryosphere, 17, 2533–2541.

Kääb, A. and Girod, L. (2023a): Brief communication: Rapid ∼ 335 × 106 m3 bed erosion after detachment of the Sedongpu Glacier (Tibet), The Cryosphere, 17, 2533–2541. Kalakoski, N., Sofieva, V. F.,

Kalakoski, N., Sofieva, V. F., Preusker, R., Henocq, C., Denisselle, M., Dransfeld, S., and Scifoni, S.: Validation of Copernicus Sentinel-3/OLCI Level 2 Land Integrated Water Vapour product, Atmos. Meas. Tech., 15, 5129–5140, https://doi.org/10.5194/amt-15-5129-2022, 2022.

Kinne Stefan, Paul Ginoux, Peter North, Kevin Pearson, Rob Levy, Ralph Kahn, Thomas Popp, Aerosol radiative effects with MACv3 and satellites retrievals, submitted to Atmospheric Physics and Chemistry, 2022, in review (second revision requested and ongoing) – the original discussion paper was published as Kinne, S., North, P., Pearson, K., and Popp, T.: Aerosol radiative effects with dual view AOD retrievals, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-954, in review, 2022

Kinne, S., North, P., Pearson, K., and Popp, T.: Aerosol radiative effects with dual view AOD retrievals, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-954, in review, 2022 Klose, M., Jorba, O., Gonçalves Ageitos, M., Escribano, J., Dawson, M. L., Obiso, V., Di Tomaso, E., Basart, S., Montané Pinto, G., Macchia, F., Ginoux, P., Guerschman, J., Prigent, C., Huang, Y., Kok, J. F., Miller, R. L., and Pérez García-Pando, C.: Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0, Geosci. Model Dev., 14, 6403–6444, https://doi.org/10.5194/gmd-14-6403-2021, 2021

Kochtitzky, W., Copland, L., Van Wychen, W., Hugonnet., R., Hock, R., Dowdeswell, J., Benham, T., Strozzi, T., Glazovsky, A., Lavrentiev, I., Rounce, D., Millan, R., Cook, A., Dalton, A., Jiskoot, H., Cooley, J., Jania, J., and Navarro, F. (2022): The unquantified mass loss of Northern Hemisphere marine- terminating glaciers from 2000–2020. Nature Communications, 13, 5835, doi.org/10.1038/s41467-022-33231-x

Jeffery, P. S., Walker, K. A., Sioris, C. E., Boone, C. D., Degenstein, D., Manney, G. L., McElroy, C. T., Millán, L., Plummer, D. A., Ryan, N. J., Sheese, P. E., and Zou, J.: Water vapour and ozone in the upper troposphere–lower stratosphere: global climatologies from three Canadian limb-viewing instruments, Atmos. Chem. Phys., 22, 14709–14734, https://doi.org/10.5194/acp-22-14709-2022, 2022.

Jingjing Liang et al. (2022). Co-limitation towards lower latitudes shapes global forest diversity gradients, Nature Ecology and Evolution.

Hansen, N, Louise Sandberg Sorensen, Giorgio Spada, et al. Revisiting ice sheet Mass balance: insights into changing dynamics in Greenland and Antarctica from ICESat-2The Cryosphere Discussions, 2023.

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Lavergne, T., Kern, S., Aaboe, S., Derby, L., Dybkjaer, G., Garric, G., Heil, P., Hendricks, S., Holfort, J., Howell, S., Key, J., Lieser, J. L., Maksym, T., Maslowski, W., Meier, W., Munoz-Sabater, J., Nicolas, J., Özsoy, B., Rabe, B., Rack, W., Raphael, M., de Rosnay, P., Smolyanitsky, V., Tietsche, S., Ukita, J., Vichi, M., Wagner, P., Willmes, S., & Zhao, X. A (2022) A New Structure for the Sea Ice Essential Climate Variables of the Global Climate Observing System, Bulletin of the American Meteorological Society https://journals.ametsoc.org/view/journals/bams/aop/BAMS-D21-0227.1/BAMS-D-21-0227.1.xml
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How, P., A. Messerli, E. Mätzler, M. Santoro, A. Wiesmann, R. Caduff, K. Langley, M.H. Bojesen, F. Paul, A. Kääb and J.L. Carrivick (2021): Greenland-wide inventory of ice marginal lakes using a multi-method approach. Scientific Reports, 11, 4481, DOI: 10.1038/s41598021-83509-1.

Horwath, M., Gutknecht, B. D., Cazenave, A., Palanisamy, H. K., Marti, F., Marzeion, B., Paul, F., Le Bris, R., Hogg, A. E., Otosaka, I., Shepherd, A., Döll, P., Cáceres, D., Müller Schmied, H., Johannessen, J. A., Nilsen, J. A., Ø., Raj, R. P., Forsberg, R., Sandberg Sørensen, L., Barletta, V. R., Simonsen, S. B., Knudsen, P., Andersen, O. B., Ranndal, H., Rose, S. K., Merchant, C. J., Macintosh, C. R., von Schuckmann, K., Novotny, K., Groh, A., Restano, M., Benveniste, J.: Global sea-level budget and ocean-mass budget, with focus on advanced data products and uncertainty characterisation. Earth Syst. Sci. Data, accepted, 2021. https://doi.org/10.5194/essd-14-411-2022

Hui Yang, Philippe Ciais, Yilong Wang, Yuanyuan Huang, Jean-Pierre Wigneron, Ana Bastos, Jérôme Chave, Jinfeng Chang, Chris Doughty, Lei Fan, Daniel Goll, Emilie Joetzjer, Wei Li, Richard Lucas, Shaun Quegan, Thuy Le Toan, Kailiang Yu Carbon allocation and turnover time across the tropics. Global Ecology and Biogeography, in press

Islam, S. M. N., Jackson, P. L., Sweeney, C., McKain, K., Frankenberg, C., Aben, I., Parker, R. J., Boesch, H., Wunch, D.: Methane growth rate estimation and its causes in western Canada using satellite observations, Journal of Geophysical Research: Atmospheres, 126, e2020JD033948, pp. 20, https://doi.org/10.1029/2020JD033948, 2021.

Jones, B.M. A.M. Irrgang, L.M. Farquharson, H. Lantuit, D. Whalen, S. Ogorodov,Kääb, A. T. Strozzi, T. Bolch, R. Caduff, H. Trefall, M. Stoffel and A. Kokarev, Inventory and changes of rock glacier creep speeds in Ile Alatau andKungöy Ala-Too, northern Tien Shan, since the 1950s, The Cryosphere, 15, 927–949, 2021, doi:10.5194/tc-15-927-2021.

Kay, H.; Santoro, M.; Cartus, O.; Bunting, P.; Lucas, R. Exploring the Relationship between Forest Canopy Height and Canopy Density from Spaceborne LiDAR Observations. Remote Sens. 2021, 13, 4961. https://doi.org/10.3390/rs13244961

Keerthi, M.G., Lévy, M. & Aumont, O. Intermittency in phytoplankton bloom triggered by modulations in vertical stability. Sci Rep 11, 1285 (2021). https://doi.org/10.1038/s41598-020-80331-z

Kern, S.: Spatial Correlation Length Scales of Sea-Ice Concentration Errors for HighConcentration Pack Ice, Remote Sensing, 13(21), 4421, doi:10.3390/rs13214421, 2021

Kern, S., Lavergne, T., Pedersen, L. T., Tonboe, R. T., Bell, L., Meyer, M., and Zeigermann, L. M.: Satellite Passive Microwave Sea-Ice Concentration Data Set Inter-comparison using Landsat data, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2021-258, accepted, 2021.

Klose, M., Jorba, O., Gonçalves Ageitos, M., Escribano, J., Dawson, M. L., Obiso, V., Di Tomaso, E., Basart, S., Montané Pinto, G., Macchia, F., Ginoux, P., Guerschman, J., Prigent, C., Huang, Y., Kok, J. F., Miller, R. L., and Pérez García-Pando, C.: Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0, Geosci. Model Dev., 14, 6403–6444, https://doi.org/10.5194/gmd-14-6403-2021, 2021

Kusk Anders, Jonas Kvist Andersen, John Peter Merryman Boncori: Burst Overlap Coregistration for Sentinel-1 TOPS DInSAR Ice Velocity Measurements, IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2021.3062905, 2021.

Lalande, M., Ménégoz, M., Krinner, G., Naegeli, K., and Wunderle, S.: Climate change in the High Mountain Asia in CMIP6, Earth System Dynamics, 12, 1061–1098, https://doi.org/10.5194/esd-12-1061-2021 , 2021

Lizundia-Loiola, J., Franquesa, M., Boettcher, M., Kirches, G., Pettinari, M.L., Chuvieco, E. Implementation of the Burned Area Component of the Copernicus Climate Change Service: From MODIS to OLCI Data. Remote Sensing 13 (21), 4295, 2021. https://doi.org/10.3390/rs13214295Lizundia-Loiola, J., Franquesa, M., Boettcher, M., Kirches, G., Pettinari, M.L., Chuvieco, E. Implementation of the Burned Area Component of the Copernicus Climate Change Service: From MODIS to OLCI Data. Remote Sensing 13 (21), 4295, 2021. https://doi.org/10.3390/rs13214295

Mettig, N., Weber, M., Rozanov, A., Arosio, C., Burrows, J. P., Veefkind, P., Thompson, A. M., Querel, R., Leblanc, T., Godin-Beekmann, S., Kivi, R., and Tully, M. B.: Ozone profile retrieval from nadir TROPOMI measurements in the UV range, Atmos. Meas. Tech., 14, 6057–6082, https://doi.org/10.5194/amt-14-6057-2021, 2021

Moreno, M.V., Laurent, P., Mouillot, F. (2021) Global intercomparison of functional pyrodiversity from two satellite sensors. International Journal of Remote Sensing 42 (24), 9523-9541. https://doi.org/10.1080/01431161.2021.1999529

Mudryk, L. R., A. Elias Chereque, C. Derksen, K. Luojus, B. Decharme: Terrestrial Snow Cover. Arctic Report Card 2021, R. L. Thoman, J. Richter-Menge, and M. L. Druckenmiller, Eds., Available online Dec 14, 2021.

Nagler, T. et al: Synergistic use of Sentinel-1 InSAR and offset tracking for improved ice sheet wide velocity mapping, ESA Fringe 2021

Nagler, T. et al.:Continuous Monitoring of Ice Motion and Discharge of Antarctic and Greenland Ice Sheets and Outlet Glaciers by Sentinel-1 A & B, IEEE IGARSS 2021, Brussels, Belgium, July 11 – 16, 2021.

Nicholls, R.J., Lincke, D., Hinkel, J. Brown, S., Vafeidis, A. T., Meyssignac, B., Hanson, S. E., Merkens, J-L., Fang, J., A global analysis of subsidence, relative sea-level change and coastal flood exposure. Nat. Clim. Chang. (2021). https://doi.org/10.1038/s41558-021-00993-z

Nitze, I., Cooley, S. W., Duguay, C. R., Jones, B. M., and Grosse, G.: The catastrophic therkarst lake drainage events of 2018 in northwestern Alaska: fast-forward into the future, The Cryosphere, 14, 4279 https://doi.org/10.5194/tc

Nitze, I, Heidler, K., Barth, S., and Grosse, G. (2021): Developing and testing a deep learning approach for mapping retrogressive thaw slumps. Remote Sensing, 13(21), 4294, https://doi.org/ 10.3390/rs13214294.

Olivier, L., Reverdin, G., Hasson, A. & Boutin, J. (2020). Tropical instability waves in the atlantic ocean: Investigating the relative role of sea surface salinity and temperature from 2010 to 2018. Journal of Geophysical Research: Oceans, 125, e2020JC016641.

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Orfanoz-Cheuquelaf, A., Rozanov, A., Weber, M., Arosio, C., LadstätterWeißenmayer, A., and Burrows, J. P.: Total ozone column from Ozone Mapping and Profiler Suite Nadir Mapper (OMPS-NM) measurements using the broadband weighting function fitting approach (WFFA), Atmos. Meas. Tech., 14, 5771–5789, https://doi.org/10.5194/amt-14-5771-2021, 2021

Otón, G., Pereira, J.M.C., Silva, J.M.N., Chuvieco, E. (2021) Analysis of trends in the FireCCI global long term burned area product (1982-2018). Fire 4(4), 74. https://doi.org/10.3390/fire4040074

Paul, F., Piermattei, L., Treichler, D., Gilbert, L., Girod, L., Kääb, A., Libert, L., Nagler, T. Strozzi, T. and Wuite, J. (subm.):Three different glacier surges at a spot: What satellites observe and what not. The Cryosphere Discuss.

Peng, J. et al. (2021). A roadmap for high-resolution satellite soil moisture applications - confronting product characteristics with user requirements. Remote Sensing of Environment, 252, doi:10.1016/j.rse.2020.112162.

Perry et al., 2020, Multi-sensor multi-temporal land surface temperature algorithm intercomparison assessment, Remote Sensing, 12(24), 4164

Prandi, P., Meyssignac, B., Ablain, M., Spada, G., Ribes, A. & Benveniste, J., Local sea level trends, accelerations and uncertainties over 1993–2019. Sci Data 8, 1 (2021). https://doi.org/10.1038/s41597-020-00786-7

Ramo, R., Roteta, E., Bistinas, I., Wees, D., Bastarrika, A., Chuvieco, E. & van de Werf, G. (2021) African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data. PNAS 118 (9) e2011160118, https://doi.org/10.1073/pnas.2011160118

Roteta, E., Bastarrika, A., Franquesa, M., Chuvieco E. (2021) Landsat and Sentinel2 based burned area mapping tools in Google Earth Engine. Remote Sensing 13 (4), 816, https://doi.org/10.3390/rs13040816

Rouyet, L., Lilleøren, K.S., Böhme, M., Vick, L.M., Delaloye, R., Etzelmüller, B., Lauknes, T.R., Larsen, Y., and Blikra, L.H. (2021): Regional MorphoKinematic Inventory of Slope Movements in Northern Norway. Front. Earth Sci. 9:681088, https://doi.org/10.3389/feart.2021.681088

Rusu, L., Rusu, E., 2021. Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements. Energies 14, 394. https://doi.org/10.3390/en14020394

Santoro, M., Cartus, O., Fransson, J.E.S., 2021. Integration of allometric equations in the water cloud model towards an improved retrieval of forest stem volume with L-band SAR data in Sweden. Remote Sensing of Environment 253, 112235. Page 2

Simonsen, S. B., Barletta, V. R., & Sørensen, L. S: Greenland Ice Sheet mass balance (1992–2020) from calibrated radar altimetry, Geophysical Research Letters, https://doi.org/10.1029/2020GL091216, 2021

Sofieva, V. F., Szelag, M., Tamminen, J., Kyrölä, E., Degenstein, D., Roth, C., Zawada, D., Rozanov, A., Arosio, C., Burrows, J. P., Weber, M., Laeng, A., Stiller, G., von Clarmann, T., Froidevaux, L., Livesey, N., van Roozendael, M., and Retscher, C.: Measurement report: Regional trends of stratospheric ozone evaluated using the MErged GRIdded Dataset of Ozone Profiles (MEGRIDOP), Atmos. Chem. Phys., accepted for publication (2021)

Strozzi, T., Wiesmann, A., Schellenberger, T., Kääb, A., and Paul, F. (subm.): Longterm trends and seasonal variability of ice surface velocity in the Eastern Arctic from satellite SAR data. Earth Syst. Sci. Data Discuss.

Truffer M., Kääb A., Harrison W., Osipova G., Nosenko G., Espizua L., Gilbert A., Fischer L., Huggel C., Craw Burns P., Lai A. (2021): Glacier surges. In: Haeberli, W. and C. Whiteman, eds. Snow and Ice-Related Hazards, Risks, and Disasters. Elsevier, Amsterdam, pp. 417-466.

van der Schalie, R. Mendy van der Vliet, Clément Albergel, Wouter Dorigo, Piotr Wolski and Richard de JeuAssessing the suitability of long-term climate data records from passive microwave remote sensing in characterizing complex hydrology-vegetation interactions (a case study for the Okavango Delta) . https://hess.copernicus.org/preprints/hess-2021-637/

van der Schalie, et al. (2022) Soil Moisture [in "State of the Climate in 2021"]. Bull. Amer. Meteor.

Vroege, W., J. Bucheli, T. Dalhaus, M. Hirschi, and R. Finger (2021). Insuring crops from space: The potential of satellite-retrieved soil moisture to reduce farmers` drought risk exposure. European Review of Agricultural Economics, 48(2), 266-314, https://doi.org/10.1093/erae/jbab010.

Veremeeva, A. I. Nitze, F. Günther, G. Grosse and E. Rivkina, Geomorphological and Climatic Drivers of Thermokarst Lake Area Increase Trend (1999–2018) in the Kolyma Lowland Yedoma Region, North-Eastern Siberia, Remote Sensing, 13(2), 178, 2021, doi:10.3390/rs13020178.

an Wees, D., van der Werf, G.R., Randerson, J.T., Andela, N., Chen, Y. and Morton, D.C. (2021), The role of fire in global forest loss dynamics. Glob Change Biol. https://doi.org/10.1111/gcb.15591

Selley et al. Widespread increase in dynamic imbalance in the Getz region of Antarctica from 1994 to 2018 Nature Communications

Wu, Y., C.R. Duguay and L. Xu, 2 Assessment of machine learning classifiers for global ice cover mapping from MODIS TOA reflectance data Remote Sensing of Environment https://doi.org/10.1016/j.rse.2020.112206

Wu, X.; Naegeli, K.; Premier, V.; Marin, C.; Ma, D.; Wang, J.; Wunderle, S.: Evaluation of snow extent time series derived from Advanced Very High Resolution Radiometer global area coverage data (1982–2018) in the Hindu Kush Himalayas. The Cryosphere, 15(9), pp. 4261-4279. Copernicus Publications https://doi.org/10.5194/tc-15-4261-2021, 2021.

2020

Albergel, C., Zheng, Y., Bonan, B., Dutra, E., Rodríguez-Fernández, N., Munier, S., Draper, C., de Rosnay, P., Muñoz-Sabater, J., Balsamo, G., Fairbairn, D., Meurey, C., and Calvet, J.-C.: Data assimilation for continuous global assessment of severe conditions over terrestrial surfaces, Hydrol. Earth Syst. Sci., 24, 4291–4316, https://hess.copernicus.org/articles/24/4291/2020/, 2020.

Allen, S., Huggel, C. and Paul, F. (2020): Gefahren aus vergletscherten Vulkanen: Das Beispiel Nevado del Ruiz. In: Lozán J. L., S.-W. Breckle, H. Graßl, et al. (Hrsg.): Warnsignal Klima: Hochgebirge im Wandel. pp. 324-329.

Altena, B. and Kääb, A. (2020): Ensemble matching of repeat satellite images applied to measure fast-changing ice flow, verified with mountain climber trajectories on Khumbu icefall, Mount Everest. Journal of Glaciology, 1-11. doi:10.1017/jog.2020.66.

Akhil, V.P., J. Vialard, M. Lengaigne, M. G. Keerthi, J. Boutin and J.L. Vergely, Analysing Bay of Bengal Sea Surface Salinity variability using an improved re-processing of SMOS, RSE, in press, 2020.

Andersen, Jonas Kvist., Anders Kusk, John Peter Merryman Boncori, Christine Schøtt Hvidberg, Aslak Grinsted: Improved Ice Velocity Measurements with Sentinel-1 TOPS. Interferometry, Remote Sens. 2020, 12(12), 2014. https://doi.org/10.3390/rs12122014 , 2020.

Andersen, J K, A Kusk, J P M Boncori, C Hvidberg, A Grinsted: Improved Ice Velocity Measurements with Sentinel-1 TOPS Interferometry Remote Sens. 2020, 12(12), 2014; https://doi.org/10.3390/rs12122014.

Baird, M; Chai, F; Ciavatta, S; Dutkiewicz, S; Edwards, C; Evers-King, H; Friedrichs, M; Frolov, S; Gehlen, Ma; Henson, S; Hickman, A; Jahn, O; Jones, E; Kaufman, D; Mélin, F; Mouw, C; Muhling, B; Rousseaux, C; Shulman, I; Wiggert, J. Synergy between Ocean Colour and Biogeochemical/Ecosystem Models. IOCCG Report Number 19 (2020).

Bartsch A, Ley S, Nitze I, Pointner G and Vieira G (2020), Feasibility Study for the Application of Synthetic Aperture Radar for Coastal Erosion Rate Quantification Across the Arctic. Frontiers in Environmental Science, Volume 8, pages 43. doi: 10.3389/fenvs.2020.00143.

Bergstedt H., A. Bartsch, A. Neureiter, A. Höfler, B. Widhalm, N. Pepin, and J, Hjort, Deriving a Frozen Area Fraction From Metop ASCAT Backscatter Based on Sentinel-1, IEEE Transactions on Geoscience and Remote Sensing, https://doi.org/10.1109/TGRS.2020.2967364(Early Access).

Bergstedt, H., Bartsch, A., Duguay, C., Jones, B. (2020): Influence of surface water on coarse resolution C-band backscatter: Implications for freeze/thaw retrieval from scatterometer data. Remote Sensing of Environment, Volume 247, 15 September 2020, 111911, https://doi.org/10.1016/j.rse.2020.111911.

Bilbao, R., Wild, S., Otega, B., Acosta-Navarro, J., Arsouze, T., Bretonniere, P-A., Caron, L-P., Castrillo, M., Cruz-Gracia, R., Cvijanovic, I., Doblas-Reyes, F.J., Donat, M., Dura, E., Echevarría, P., Ho, A-C., Loosveldt-Tomas, S., Moreno-Chamarro, E., Pérez-Zanon, N., Ramos, A., Ruprich-Robert, Y., Sicardi, V., Tourigny, E., Vegas-Regidor, J.: Assessment of a full-Field initialised decadal climate prediction system with the CMIP6 version of EC-Earth, https://esd.copernicus.org/preprints/esd-2020-66/ 2020

Bowman, D., Williamson, G., Yebra, M., Lizundia-Loiola, J., Pettinari, M.L., Shah, S., Bradstock, R., Chuvieco, E.(2020) Wildfires: Australia needs a national monitoring agency. Nature 584, 188-191, https://doi.org/10.1175/BAMS-D-19-0127.1

Burke, E.J., Y. Zhang and G. Krinner, Evaluating permafrost physics in the Coupled Model Intercomparison Project 6 (CMIP6) models and their sensitivity to climate change, The Cryosphere, 14, 3155–3174, 2020, https://doi.org/10.5194/tc-14-3155-2020.

Campagnolo, M.L., R.L. Libonati, J.A. Rodrigues, and J.M.C. Pereira (2020) A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas. Remote Sensing of Environment, in press.

Carturan, L., Rastner, P. and Paul, F. (2020): On the disequilibrium response and climate change vulnerability of the mass balance glaciers in the Alps. Journal of Glaciology. doi.org/10.1017/jog.2020.71

Ciais, P., Bastos, A., Chevallier, F., Lauerwald, R., Poulter, B., Canadell, P., Hugelius, G., Jackson, R. B., Jain, A., Jones, M., Kondo, M., Luijkx, I., Patra, P. K., Peters, W., Pongratz, J., Petrescu, A. M. R., Piao, S., Qiu, C., Von Randow, C., Regnier, P., Saunois, M., Scholes, R., Shvidenko, A., Tian, H., Yang, H., Wang, X., and Zheng, B.: Definitions and methods to estimate regional land carbon fluxes for the second phase of the REgional Carbon Cycle Assessment and Processes Project (RECCAP-2), Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-259, in review, 2020.

Cheruy, F., Ducharne, A., Hourdin, F., Musat, I., Vignon, E., et al.: Improved near surface continental climate in IPSL-CM6A-LR by combined evolutions of atmospheric and land surface physics, Journal of Advances in Modeling Earth Systems, https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019MS002005, 2020.

Chuvieco, E., Aguado, I., Salas, J., García, M., Yebra, M., & Oliva, P. (2020). Satellite Remote Sensing Contributions to Wildland Fire Science and Management. Current Forestry Reports, https://doi.org/10.1007/s40725-40020-00116-40725.

Coldewey-Egbers, M., Loyola, D. G., Labow, G., and Frith, S. M.: Comparison of GTO-ECV and adjusted MERRA-2 total ozone columns from the last 2 decades and assessment of interannual variability, Atmos. Meas. Tech., 13, 1633–1654, https://doi.org/10.5194/amt-13-1633-2020, 2020.

Dameris, M., Loyola, D. G., Nützel, M., Coldewey-Egbers, M., Lerot, C., Romahn, F., and van Roozendael, M.: First description and classification of the ozone hole over the Arctic in boreal spring 2020, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-746, in review, 2020.

Delaloye, R. and T. Echelard (eds.), 2020: Towards standard guidelines for inventorying rock glaciers: Baseline concepts (Version 4.0) . International Permafrost Association (IPA) Action Group Rock glacier inventories and kinematics, Longyearbyen, Svalbard, 13 pp.

Dodet, G., Piolle, J.-F., Quilfen, Y., Abdalla, S., Accensi, M., Ardhuin, F., Ash, E., Bidlot, J.-R., Gommenginger, C., Marechal, G., Passaro, M., Quartly, G., Stopa, J., Timmermans, B., Young, I., Cipollini, P., Donlon, C., 2020. The Sea State CCI dataset v1: towards a Sea State Climate Data Record based on satellite observations. Earth System Science Data Discussions 1–28. https://doi.org/10.5194/essd-2019-253

Ford, D. Assessing the role and consistency of satellite observation products in global physical-biogeochemical ocean reanalysis. Submitted to Ocean Science (https://os.copernicus.org/preprints/os-2019-118/)

Franquesa, M., Vanderhoof, M.K., Stavrakoudis, D., Gitas, I.Z., Roteta, E., Padilla, M.,Chuvieco, E. (2020). Development of a standard database of reference sites for validating global burned area products. Earth System Science Data 12, 3229-3246, https://doi.org/10.5194/essd-12-3229-2020

Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Hauck, J., Olsen, A., Peters, G. P., Peters, W., Pongratz, J., Sitch, S., Le Quéré, C., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S., Aragão, L. E. O. C., Arneth, A., Arora, V., Bates, N. R., Becker, M., Benoit-Cattin, A., Bittig, H. C., Bopp, L., Bultan, S., Chandra, N., Chevallier, F., Chini, L. P., Evans, W., Florentie, L., Forster, P. M., Gasser, T., Gehlen, M., Gilfillan, D., Gkritzalis, T., Gregor, L., Gruber, N., Harris, I., Hartung, K., Haverd, V., Houghton, R. A., Ilyina, T., Jain, A. K., Joetzjer, E., Kadono, K., Kato, E., Kitidis, V., Korsbakken, J. I., Landschützer, P., Lefèvre, N., Lenton, A., Lienert, S., Liu, Z., Lombardozzi, D., Marland, G., Metzl, N., Munro, D. R., Nabel, J. E. M. S., Nakaoka, S.-I., Niwa, Y., O'Brien, K., Ono, T., Palmer, P. I., Pierrot, D., Poulter, B., Resplandy, L., Robertson, E., Rödenbeck, C., Schwinger, J., Séférian, R., Skjelvan, I., Smith, A. J. P., Sutton, A. J., Tanhua, T., Tans, P. P., Tian, H., Tilbrook, B., van der Werf, G., Vuichard, N., Walker, A. P., Wanninkhof, R., Watson, A. J., Willis, D., Wiltshire, A. J., Yuan, W., Yue, X., and Zaehle, S.: Global Carbon Budget 2020, Earth Syst. Sci. Data, 12, 3269–3340, https://doi.org/10.5194/essd-12-3269-2020, 2020.

Gier, B. K., Buchwitz, M., Reuter, M., Cox, P. M., Friedlingstein, P., and Eyring, V.: Spatially resolved evaluation of Earth system models with satellite column averaged CO2, Biogeosciences, 17, 6115-6144, https://doi.org/10.5194/bg-17-6115-2020, 2020

Gliß, J., Mortier, A., Schulz, M., Andrews, E., Balkanski, Y., Bauer, S. E., Benedictow, A. M. K., Bian, H., Checa-Garcia, R., Chin, M., Ginoux, P., Griesfeller, J. J., Heckel, A., Kipling, Z., Kirkevåg, A., Kokkola, H., Laj, P., Le Sager, P., Lund, M. T., Lund Myhre, C., Matsui, H., Myhre, G., Neubauer, D., van Noije, T., North, P., Olivié, D. J. L., Sogacheva, L., Takemura, T., Tsigaridis, K., and Tsyro, S. G.: Multi-model evaluation of aerosol optical properties in the AeroCom phase III Control experiment, using ground and space based columnar observations from AERONET, MODIS, AATSR and a merged satellite product as well as surface in-situ observations from GAW sites, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-1214

Grigoriev, M. C. Tweedie, A.E. Gibbs, M.C. Strzelecki, A. Baranskaya, N. Belova, A. Sinitsyn, A. Kroon, A. Maslakov, G. Vieira, G. Grosse, P. Overduin, I. Nitze, C. Maio, J. Overbeck, M. Bendixen, P. Zagórski and V.E. Romanovsky, Coastal Permafrost Erosion, NOAA Arctic Report Card, 2020, doi: 10.25923/e47w-dw52.Hegglin et al., Overview and update of the SPARC Data Initiative: Comparison of stratospheric composition measurements from satellite limb sounders, ESSD, https://doi.org/10.5194/essd-2020-342, 2020.

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Van der Vliet, Mendy, Robin van der Schalie, Nemesio Rodriguez-Fernandez, Andreas Colliander, Richard de Jeu, Wolfgang Preimesberger, Tracy Scanlon, and Wouter Dorigo. "Reconciling Flagging Strategies for Multi-Sensor Satellite Soil Moisture Climate Data Records." Remote Sensing 12, no. 20 (2020): 3439, doi: https://doi.org/10.3390/rs12203439

Waliser, D., Gleckler, P. J., Ferraro, R., Taylor, K. E., Ames, S., Biard, J., Bosilovich, M. G., Brown, O., Chepfer, H., Cinquini, L., Durack, P. J., Eyring, V., Bathieu, P.-P., Lee, T., Pinnock, S., Potter, G. L., Rixen, M., Saunders., R., Schulz, J., Thépaut, J.-N., Tuma, M. (2020) Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6. Geosci. Model Dev., 13, 2945-2958 .

Wang, J., Feng, L., Palmer, P.I., et al.: Large Chinese land carbon sink estimated from atmospheric carbon dioxide data, Nature 586, 720–723, https://doi.org/10.1038/s41586-020-2849-9, 2020.

Welch, H., S. Brodie, M.G. Jacox, D. Robinson, C. Wilson, S.J. Bograd, M.J. Oliver, E.L. Hazen (2020), Considerations for transferring an operational dynamic ocean management tool between ocean color products, Remote Sensing of Environment, Volume 242, 111753, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2020.111753.

Wu, Y., C.R. Duguay and L. Xu (2020). Lake ice classification from MODIS TOA reflectance imagery using a convolutional neural network: a case study of Great Slave Lake, Canada. Proceedings of 2020 IEEE International Geoscience & Remote Sensing Symposium, Waikoloa, Hawaii, USA, 19-24 July, 4 pp.

Xaver, A., Zappa, L.,Rab, G., Pfeil, I.,Vreugdenhil, M., Hemmet, D.,Dorigo, W. (2020). Evaluating the suitability of the consumer low-cost Parrot Flower Power soil moisture sensor for scientific environmental applications. Geosci. Instrum. Method. and Data Syst. https://doi.org/10.5194/gi-2019-38

Yang, D., Boesch, H. Liu, Y., et al.: Toward High Precision XCO2 Retrievals from TanSat Observations: Retrieval Improvement and Validation against TCCON Measurements, J. Geophys. Res. Atmospheres (in press), initially submitted manuscript: https://www.essoar.org/pdfjs/10.1002/essoar.10502909.1, 2020.

Zemp, M., Huss, M., Eckert, N., Thibert, E., Paul, F., Nussbaumer, S.U. and Gärtner-Roer, I. (2020): Brief communication: Ad hoc estimation of glacier contributions to sea-level rise from latest glaciological observations. The Cryosphere, 14, 1043–1050.

Zhang, G., Xiao, X., Dong, J., Xin, F., Zhang, Y., Qin, Y., Doughty, R. B., Moore III, B., Fingerprint of rice paddies in spatial–temporal dynamics of atmospheric methane concentration in monsoon Asia, Nat. Commun. 11, 554, 2020.

Zheng, Y., Albergel, C., Munier, S., Bonan, B., and Calvet, J.-C.: An offline framework for high-dimensional ensemble Kalman filters to reduce the time to solution, Geosci. Model Dev., 13, 3607–3625, https://gmd.copernicus.org/articles/13/3607/2020/, 2020.

2019

Altena, B., Scambos, T., Fahnestock, M., and Kääb, A. (2019): Extracting recent short-term glacier velocity evolution over southern Alaska and the Yukon from a large collection of Landsat data. The Cryosphere, 13, 795-814. https://doi.org/10.5194/tc-13-795-2019

Ardhuin, Fabrice & Stopa, Justin & Chapron, Bertrand & Collard, Fabrice & Jensen, Robert & Johannessen, Johnny & Husson, Romain & Mouche, Alexis & Passaro, Marcello & Quartly, Graham & Swail, Val & Young, Ian. (2018). Observing sea states. Frontiers in Marine Science 2019 vol: 6 pp: 124. doi: 10.3389/fmars.2019.00124.

Belenguer-Plomer, M. A., Chuvieco, E. and Tanase, M. A. (2019) ‘Temporal Decorrelation of C-Band Backscatter Coefficient in Mediterranean Burned Areas’, Remote Sensing. Multidisciplinary Digital Publishing Institute, 11(22), p. 2661. doi: 10.3390/rs11222661.

Brennan, J. et al. (2019) ‘Theoretical uncertainties for global satellite-derived burned area estimates’, Biogeosciences, 16(16), pp. 3147–3164. doi: 10.5194/bg-16-3147-2019.

Berzaghi, F., Longo, M., Ciais, P., Blake, S., Bretagnolle, F., Vieira, S., Scaranello, M., Scarascia-Mugnozza, G. and Doughty, C. E. (2019) Carbon stocks in central African forests enhanced by elephant disturbance. Nat. Geosci. 12, 725–729 (2019). https://doi.org/10.1038/s41561-019-0395-6

Ceamanos, X. et al. (2019) ‘Assessing the Potential of Geostationary Satellites for Aerosol Remote Sensing Based on Critical Surface Albedo’, Remote Sensing, 11(24), p. 2958. doi: 10.3390/rs11242958.

Chave, J., Davies, S. J., Phillips, O. L., Lewis, S. L., Sist, P., Schepaschenko, D., ... & Duncanson, L. (2019). Ground data are essential for biomass remote sensing missions. Surveys in Geophysics, 40 (4): 863-880. DOI:10.1007/s10712-019-09528-w.

Chevallier, F. et al. (2019) ‘Objective evaluation of surface- and satellite-driven carbon dioxide atmospheric inversions’, Atmospheric Chemistry and Physics, 19(22), pp. 14233–14251. doi: 10.5194/acp-19-14233-2019.

Chuvieco Emilio, Florent Mouillot, Guido R. van der Werf, Jesús San Miguel, Mihai Tanase, Nikos Koutsias, Mariano García, Marta Yebra, Marc Padilla, Ioannis Gitas, Angelika Heil, Todd J. Hawbaker, Louis Giglio (2019) Historical background and current developments for mapping burned area from satellite Earth observation, Remote Sensing of Environment 225, 45-64, https://doi.org/10.1016/j.rse.2019.02.013.

De Rydt, J., Gudmundsson, G. H., Nagler, T., and Wuite, J.: Calving cycle of the Brunt Ice Shelf, Antarctica, driven by changes in ice-shelf geometry, The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-46, in review, 2019.

Deschamps-Berger, C., C. Nuth, W. Van Pelt, E. Berthier, J. Kohler & B. Altena (2019): Closing the mass budget of a tidewater glacier, an example of Kronebreen, Svalbard. J. Glaciol., 65(249) 136-148. DOI: https://doi.org/10.1017/jog.2018.98

Dodet, G., Melet, A., Ardhuin, F., Bertin, X., Idier, D., Almar, R., 2019. The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes. Surv Geophys. https://doi.org/10.1007/s10712-019-09557-5

Duncanson, L., Armston, J., Disney, M., Avitabile, V., Barbier, N., Calders, K., Carter, S., Chave, J., Herold, M., Crowther, T. W., Falkowski, M., Kellner, J. R., Labrière, N., Lucas, R., MacBean, N., McRoberts, R. E., Meyer, V., Næsset, E., Nickeson, J. E., Paul, K. I., Phillips, O. L., Réjou-Méchain, M., Román, M., Roxburgh, S., Saatchi, S., Schepaschenko, D., Scipal, K., Siqueira, P. R., Whitehurst, A. & Williams, M. (2019). The Importance of Consistent Global Forest Aboveground Biomass Product Validation. Surveys in Geophysics 40 (4): 979-999. DOI:10.1007/s10712-019-09538-8

Eliasson, S., Karlsson, K. G., van Meijgaard, E., Meirink, J. F., Stengel, M., and Willén, U. (2019) The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model, Geosci. Model Dev., 12, 829-847, https://doi.org/10.5194/gmd-12-829-2019, 2019

Eyring, V. et al. (2019) Taking climate model evaluation to the next level. Nature Climate Change, Vol 9, 102, 102–110. https://doi.org/10.1038/s41558-018-0355-y

Falaschi, D., Kääb, A., Paul, F., Tadono, T., Rivera, J.A. and Lenzano, L.E. (2019): Brief communication: Collapse of 4 Mm3of ice from a cirque glacier in the Central Andes of Argentina. The Cryosphere, 13, 997-1004. https://doi.org/10.5194/tc-13-997-2019

Fischer, F.J., Marechaux, I., Chave, J. (2019). Improving plant allometry by fusing forest models and remote sensing. https://doi.org/10.1111/nph.15810.

Forkel, M., Andela, N., Harrison, S. P., Lasslop, G., van Marle, M., Chuvieco, E., Dorigo, W., Forrest, M., Hantson, S., Heil, A., Li, F., Melton, J., Sitch, S., Yue, C., and Arneth, A. (2019) Emergent relationships on burned area in global satellite observations and fire-enabled vegetation models. Biogeosciences 16, 57-76

Galytska, E., Rozanov, A., Chipperfield, M. P., Dhomse, Sandip. S., Weber, M., Arosio, C., Feng, W., and Burrows, J. P.: Dynamically controlled ozone decline in the tropical mid-stratosphere observed by SCIAMACHY, Atmos. Chem. Phys., 19, 767-783, https://doi.org/10.5194/acp-19-767-2019, 2019.

Gerland, S., D. Barber, W. N. Meier, C. J. Mundy, M. Holland, S. Kern, Z. Li, C. Michel, D. Perovich, and T. Tamura: Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice, Environmental Research Letters, 14(4), https://iopscience.iop.org/article/10.1088/1748-9326/ab09b3, 2019.

Groh, A. et al. (2019) ‘Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet—Methods and Results’, Geosciences. Multidisciplinary Digital Publishing Institute, 9(10), p. 415. doi: 10.3390/geosciences9100415.

Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture Climate Data Records and their underlying merging methodology. Earth Syst. Sci. Data Discuss. https://doi.org/10.5194/essd-2019-21.

Herold, M., Carter, S., Avitabile, V. et al. (2019) The Role and Need for Space-Based Forest Biomass-Related Measurements in Environmental Management and Policy. Surveys in Geophysics 40: 757. https://doi.org/10.1007/s10712-019-09510-6.

Inness, A., Flemming, J., Heue, K.-P., Lerot, C., Loyola, D., Ribas, R., Valks, P., van Roozendael, M., Xu, J., and Zimmer, W.: Monitoring and assimilation tests with TROPOMI data in the CAMS system: near-real-time total column ozone, Atmos. Chem. Phys., 19, 3939-3962, https://doi.org/10.5194/acp-19-3939-2019, 2019.

Isbekov, K. B. et al (2019) Impacts of water changes in the fauna, flora and physical properties over the Balkhash Lake watershed. Lakes & Reservoirs https://doi.org/10.1111/lre.12263.

Kern, S. et al. (2019) ‘Satellite passive microwave sea-ice concentration data set intercomparison: closed ice and ship-based observations’, The Cryosphere, 13(12), pp. 3261–3307. doi: 10.5194/tc-13-3261-2019.

Kochtitzky, W., Jiskoot, H., Copland, L., Enderlin, E., McNabb, R., Kreutz, K., & Main, B.(n.d.). Ter-minus advance, kinematics and mass redistribution during eight surges of Donjek Glacier, St. Elias Range, Canada, 1935 to 2016. Journal of Glaciology, 1-15. doi:10.1017/jog.2019.34

Lavergne Thomas, Atle Macdonald Sørensen, Stefan Kern, Rasmus Tonboe, Dirk Notz, Signe Aaboe, Louisa Bell, Gorm Dybkjær, Steinar Eastwood, Carolina Gabarro, Georg Heygster, Mari Anne Killie, Matilde Brandt Kreiner, John Lavelle, Roberto Saldo, Stein Sandven, and Leif Toudal Pedersen: Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records, The Cryosphere, 13, 49-78, 2019 https://doi.org/10.5194/tc-13-49-2019.

Lizundia-Loiola, J. et al. (2020) ‘A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data’, Remote Sensing of Environment. Elsevier, 236, p. 111493. doi: 10.1016/J.RSE.2019.111493.

Lizundia-Loiola, J., Pettinari, M. L. and Chuvieco, E. (2020) ‘Temporal Anomalies in Burned Area Trends: Satellite Estimations of the Amazonian 2019 Fire Crisis’, Remote Sensing. Multidisciplinary Digital Publishing Institute, 12(1), p. 151. doi: 10.3390/rs12010151.

Lunt, M. F. et al. (2019) ‘An increase in methane emissions from tropical Africa between 2010 and 2016 inferred from satellite data’, Atmospheric Chemistry and Physics, 19(23), pp. 14721–14740. doi: 10.5194/acp-19-14721-2019.

Maasakkers, J. D., Jacob, D. J., Sulprizio, M. P., et al.: Global distribution of methane emissions, emission trends, and OH concentrations and trends inferred from an inversion of GOSAT satellite data for 2010–2015, Atmos. Chem. Phys., 19, 7859–7881, https://doi.org/10.5194/acp-19-7859-2019, 2019.

Marti F., Cazenave A., Birol F., Passaro, M. Leger F., Nino F., Almar R., Benveniste J. and Legeais J.F., Altimetry-based sea level trends along the coasts of western Africa, Advances in Space Research, published online 24 May2019, https://doi.org/10.1016/j.asr.2019.05.033, 2019.

Merchant, C. J. et al. (2019) ‘Satellite-based time-series of sea-surface temperature since 1981 for climate applications’, Scientific Data. Nature Publishing Group, 6(1), p. 223. doi: 10.1038/s41597-019-0236-x.

Miller, S. M., A. M. Michalak, R. G. Detmers, O. P. Hasekamp, L. M. P Bruhwiler, S. Schwietzke, China’s cola mine methane regularions have not curbed growing emissions, Nature Communications, https://www.nature.com/articles/s41467-018-07891-7, Vol. 10, Article 303, 2019.

Mottram, R; B Simonsen, S.; Høyer Svendsen, S.; Barletta, V.R.; Sandberg Sørensen, L.; Nagler, T.; Wuite, J.; Groh, A.; Horwath, M.; Rosier, J.; Solgaard, A.; Hvidberg, C.S.; Forsberg, R.: An Integrated View of Greenland Ice Sheet Mass Changes Based on Models and Satellite Observations. Remote Sensing 11 (12), 1407; https://doi.org/10.3390/rs11121407

Nuth, C., A. Gilbert, A. Köhler, R. McNabb, T. Schellenberger, H. Sevestre, C. Weidle, L. Girod, A. Luckman & A. Kääb (2019): Dynamic vulnerability revealed in the collapse of an Arctic tidewater glacier. Scientific Reports, 9, 5541 (doi: 10.1038/s41598-019-41117-0).

Obu, J. S. Westermann, A. Bartsch, N. Berdnikov, H.H. Christiansen, A. Dashtseren, R. Delaloye, B. Elberling, B. Etzelmüller, A. Kholodov, A. Khomutov, A. Kääb, M.O. Leibman, A.G. Lewkowicz, S.K. Panda, V. Romanovsky, R.G. Way, A. Westergaard-Nielsen, T. Wu, J. Yamkhin, D. Zou (2019). Northern Hemisphere permafrost map based on TTOP modelling for 2000-2016 at 1 km2 scale. Earth-Science Reviews, Volume 193, Pages 299-316. https://doi.org/10.1016/j.earscirev.2019.04.023

Otosaka, I., Shepherd, A. and McMillan, M. (2019) ‘Ice Sheet Elevation Change in West Antarctica From Ka‐Band Satellite Radar Altimetry’, Geophysical Research Letters. John Wiley & Sons, Ltd, 46(22), pp. 13135–13143. doi: 10.1029/2019GL084271.

Palmer, P. I. et al. (2019) ‘Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal’, Nature Communications. Nature Publishing Group, 10(1), p. 3344. doi: 10.1038/s41467-019-11097-w.

Paul, F. (2019): Repeat glacier collapses and surges in the Amnye Machen mountain range, Tibet, possibly triggered by a developing rock-slope instability. Remote Sensing, 11(6), 708; doi: 10.3390/rs11060708.

Phillips, O.L., Sullivan, M.J.P., Baker, T.R., Monteagudo Mendoza, A., Nunez Vargas, P., Vasquez, R. (2019). Species Matter: Wood density Influences Tropical Forest Biomass at Multiple Scales. Surveys in Geophysics 40: 913. https://doi.org/10.1007/s10712-019-09540-0

Quartly, G.D., Rinne, E., Passaro, M., Andersen, O.B., Dinardo, S., Fleury, S., Guillot,A., Hendricks, S., Kurekin, A.A.; Müller, F.L., Ricker, R., Skourup, H., Tsamados, M. Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives. Remote Sens. 2019, 11, 881. https://doi.org/10.3390/rs11070881

Quegan, S., Le Toan, T., Chave, J., Dall, J., Exbrayat, J. F., Minh, D. H. T., ... & Rocca, F. (2019). The European Space Agency BIOMASS mission: Measuring forest above-ground biomass from space. Remote Sensing of Environment, 227, 44-60. https://doi.org/10.1016/j.rse.2019.03.032

Rastner, P., C. Notarnicola, L. Nicholson, R. Prinz, R. Sailer, G. Schwaizer & Paul, F. (2019): Automated mapping of snow cover on glaciers and calculation of snow line altitudes from multi-temporal Landsat data. Remote Sens. 2019, 11(12), 1410; https://doi.org/10.3390/rs11121410

REINTHALER, J., PAUL, F., GRANADOS, H., RIVERA, A., & HUGGEL, C. (2019). Area changes of glaciers on active volcanoes in Latin America between 1986 and 2015 observed from multi-temporal satellite imagery. Journal of Glaciology, 65(252), 542-556. doi:10.1017/jog.2019.30

Réjou-Méchain, M., Barbier, N., Couteron, P., Ploton, P., Vincent, G., Herold, M., ... & Féret, J. B. (2019). Upscaling forest biomass from field to satellite measurements: sources of errors and ways to reduce them. Surveys in Geophysics, 1-31. ADD DOI

Rouyet, L. T. R. Lauknes, H. H. Christiansen, S. M. Strand and Y. Larsen (2019). Seasonal dynamics of a permafrost landscape, Adventdalen, Svalbard, investigated by InSAR. Remote Sensing of Environment, Volume 231, 15 September 2019, 111236. https://doi.org/10.1016/j.rse.2019.111236

Scarth, P., Armston, J. A., Lucas, R., & Bunting, P. (2019). A Structural Classification of Australian Vegetation Using ICESat/GLAS, ALOS PALSAR and Landsat Sensor Data. Remote Sensing, 11(2), [147]. https://doi.org/10.3390/rs11020147.

Schepaschenko, D., See, L., Lesiv, M., Bastin, J.F., Mollicone, D., Tsendbazar, N.E., Bastin, L., McCallum, I., Bayas, J.C.L., Baklanov, A. and Perger, C., (2019). Recent Advances in Forest Observation with Visual Interpretation of Very High-Resolution Imagery. Surveys in Geophysics (2019) 40:839–862 https://doi.org/10.1007/s10712-019-09533-z

Schepaschenko, D. et al. (2019) ‘The Forest Observation System, building a global reference dataset for remote sensing of forest biomass’, Scientific Data. Nature Publishing Group, 6(1), p. 198. doi: 10.1038/s41597-019-0196-1.

Shepherd, A. et al. (2019) Trends in Antarctic Ice Sheet Elevation and Mass. Geophysical Research Letters.https://doi.org/10.1029/2019GL082182

Shepherd, J. D., Bunting, P., & Dymond, J. R. (2019). Operational Large-Scale Segmentation of Imagery Based on Iterative Elimination. Remote Sensing, 11(6), 658. http://doi.org/10.3390/rs11060658

Shepherd, A., Ivins, E., Rignot, E. et al. Mass balance of the Greenland Ice Sheet from 1992 to 2018. Nature (2019). https://doi.org/10.1038/s41586-019-1855-2

SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW Report on Long-term Ozone Trends and Uncertainties in the Stratosphere. I. Petropavlovskikh, S. Godin-Beekmann, D. Hubert, R. Damadeo, B. Hassler, V. Sofieva (Eds.), SPARC Report No. 9, GAW Report No. 241, WCRP-17/2018, doi: 10.17874/f899e57a20b

Stopa, J. E., Ardhuin, F., Stutzmann, E., & Lecocq, T. (2019). Sea state trends and variability: Consistency between models, altimeters, buoys, and seismic data (1979–2016). Journal of Geophysical Research: Oceans, 124. https://doi.org/10.1029/2018JC014607

Tebaldini, S., Minh, D. H. T., d’Alessandro, M. M., Villard, L., Le Toan, T., & Chave, J. (2019). The Status of Technologies to Measure Forest Biomass and Structural Properties: State of the Art in SAR Tomography of Tropical Forests. Surveys in Geophysics (2019) 40: 779. https://doi.org/10.1007/s10712-019-09539-7

Treichler, D. et al. (2019) ‘Recent glacier and lake changes in High Mountain Asia and their relation to precipitation changes’, The Cryosphere, 13(11), pp. 2977–3005. doi: 10.5194/tc-13-2977-2019.

Turco M., Herrera S., Tourigny E., Chuvieco E., Provenzale A. (2019) A comparison of remotely-sensed and inventory datasets for burned area in Mediterranean Europe. International Journal of Applied Earth Observation and Geoinformation 82, 101887. https://doi.org/10.1016/j.jag.2019.05.020.

van Peet, J. C. A. and van der A, R. J. (2019) Deriving tropospheric ozone from assimilated profiles, Atmos. Chem. Phys., 19, 8297-8309, https://doi.org/10.5194/acp-19-8297-2019.

Wehrli, K. et al. (2019) ‘Identifying Key Driving Processes of Major Recent Heat Waves’, Journal of Geophysical Research: Atmospheres. John Wiley & Sons, Ltd, 124(22), pp. 11746–11765. doi: 10.1029/2019JD030635.

Wespes, C. et al. (2019) ‘Is the recovery of stratospheric O3 speeding up in the Southern Hemisphere? An evaluation from the first IASI decadal record (2008&amp;#8211;2017)’, Atmospheric Chemistry and Physics, 19(22), pp. 14031–14056. doi: 10.5194/acp-19-14031-2019.

Wuite, J. et al. (2019) ‘Sub-Annual Calving Front Migration, Area Change and Calving Rates from Swath Mode CryoSat-2 Altimetry, on Filchner-Ronne Ice Shelf, Antarctica’, Remote Sensing. Multidisciplinary Digital Publishing Institute, 11(23), p. 2761. doi: 10.3390/rs11232761.

Yin, Y., Ciais, P., Chevallier, F., Li, W., Bastos, A., Piao, S., et al., Changes in the response of the Northern Hemisphere carbon uptake to temperature over the last three decades, Geophysical Research Letters, 45, https://doi.org/10.1029/2018GL077316, 4371– 4380, 2018.

Zemp, M., Huss, M., Thibert, E., Eckert, N., McNabb, R., Huber, J., Barandun, M., Machguth, H., Nussbaumer, S.U., Gärtner-Roer, I., Thomson, L., Paul, F., Maussion, F., Kutuzov, S., and Cogley, J.G. (2019): Global glacier mass changes and their contributions to sea-level rise from 1961 to 2016. Nature568, 382–386 (2019). https://doi.org/10.1038/s41586-019-1071-0

2018

Albergel, C., Dutra, E., Munier, S., Calvet, J.-C., Munoz-Sabater, J., de Rosnay, P., & Balsamo, G. (2018). ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better? Hydrology and Earth System Sciences, 22(6), 3515–3532. http://doi.org/10.5194/hess-22-3515-2018

Albergel, C., Munier, S., Bocher, A., Bonan, B., Zheng, Y., Draper, C., … Calvet, J.-C. (2018). LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables. Remote Sensing, 10(10), 1627. http://doi.org/10.3390/rs10101627

Allen, R. J., & Anderson, R. G. (2018). 21st century California drought risk linked to model fidelity of the El Niño teleconnection. Npj Climate and Atmospheric Science, 1(1), 21. http://doi.org/10.1038/s41612-018-0032-x

Bai, W., Gu, X., Li, S., Tang, Y., He, Y., Gu, X., … Bai, X. (2018). The Performance of Multiple Model-Simulated Soil Moisture Datasets Relative to ECV Satellite Data in China. Water, 10(10), 1384. http://doi.org/10.3390/w10101384

Ball, W. T., Alsing, J., Mortlock, D. J., Staehelin, J., Haigh, J. D., Peter, T., Tummon, F., Stübi, R., Stenke, A., Anderson, J., Bourassa, A., Davis, S. M., Degenstein, D., Frith, S., Froidevaux, L., Roth, C., Sofieva, V., Wang, R., Wild, J., Yu, P., Ziemke, J. R., and Rozanov, E. V.: Evidence for a continuous decline in lower stratospheric ozone offsetting ozone layer recovery, Atmos. Chem. Phys., 18, 1379-1394, https://doi.org/10.5194/acp-18-1379-2018, 2018.

Bassiouni, M., Higgins, C. W., Still, C. J., & Good, S. P. (2018). Probabilistic inference of ecohydrological parameters using observations from point to satellite scales. Hydrology and Earth System Sciences, 22(6), 3229–3243. http://doi.org/10.5194/hess-22-3229-2018

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Boynard, A., Hurtmans, D., Garane, K., Goutail, F., Hadji-Lazaro, J., Koukouli, M. E., Wespes, C., Vigouroux, C., Keppens, A., Pommereau, J.-P., Pazmino, A., Balis, D., Loyola, D., Valks, P., Sussmann, R., Smale, D., Coheur, P.-F., and Clerbaux, C.: Validation of the IASI FORLI/EUMETSAT ozone products using satellite (GOME-2), ground-based (Brewer–Dobson, SAOZ, FTIR) and ozonesonde measurements, Atmos. Meas. Tech., 11, 5125-5152, https://doi.org/10.5194/amt-11-5125-2018, 2018.

Brühl, C., Schallock, J., Klingmüller, K., Robert, C., Bingen, C., Clarisse, L., … North, P. (2018). Stratospheric aerosol radiative forcing simulated by the chemistry climate model EMAC using aerosol CCI satellite data. Atmospheric Chemistry and Physics Discussions, 1–15. http://doi.org/10.5194/acp-2018-330

Buchwitz, M., Reuter, M., Schneising, O., Noël, S., Gier, B., Bovensmann, H., … O&apos;Dell, C. (2018). Computation and analysis of atmospheric carbon dioxide annual mean growth rates from satellite observations during 2003&amp;ndash;2016. Atmospheric Chemistry and Physics Discussions, 1–22. http://doi.org/10.5194/acp-2018-158

Camici, S., Ciabatta, L., Massari, C., & Brocca, L. (2018). How reliable are satellite precipitation estimates for driving hydrological models: A verification study over the Mediterranean area. Journal of Hydrology, 563, 950–961. http://doi.org/10.1016/J.JHYDROL.2018.06.067

Carvalho-Santos, C., Monteiro, A., Arenas-Castro, S., Greifeneder, F., Marcos, B., Portela, A., … Honrado, J. P. (2018). Ecosystem Services in a Protected Mountain Range of Portugal: Satellite-Based Products for State and Trend Analysis. Remote Sensing, 10(10), 1573. http://doi.org/10.3390/rs10101573

Cazenave, A., Palanisamy, H., & Ablain, M. (2018). Contemporary sea level changes from satellite altimetry: What have we learned? What are the new challenges? Advances in Space Research, 62(7), 1639–1653. http://doi.org/10.1016/J.ASR.2018.07.017

Champagne, C., Zhang, Y., Cherneski, P., Hadwen, T., Champagne, C., Zhang, Y., … Hadwen, T. (2018). Estimating Regional Scale Hydroclimatic Risk Conditions from the Soil Moisture Active-Passive (SMAP) Satellite. Geosciences, 8(4), 127. http://doi.org/10.3390/geosciences8040127

Chedin, A., Capelle, V., & Scott, N. A. (2018). Detection of IASI dust AOD trends over Sahara: How many years of data required? Atmospheric Research, 212, 120–129. http://doi.org/10.1016/J.ATMOSRES.2018.05.004

Chen, F., Crow, W. T., Bindlish, R., Colliander, A., Burgin, M. S., Asanuma, J., & Aida, K. (2018). Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation. Remote Sensing of Environment, 214, 1–13. http://doi.org/10.1016/J.RSE.2018.05.008

Chuvieco, E., Lizundia-Loiola, J., Pettinari, M. L., Ramo, R., Padilla, M., Tansey, K., … Plummer, S. (2018). Generation and analysis of a new global burned area product based on MODIS 250&amp;thinsp;m reflectance bands and thermal anomalies. Earth System Science Data Discussions, 1–24. http://doi.org/10.5194/essd-2018-46

Ciabatta, L., Massari, C., Brocca, L., Gruber, A., Reimer, C., Hahn, S., … Wagner, W. (2018). SM2RAIN-CCI: a new global long-term rainfall data set derived from ESA CCI soil moisture. Earth System Science Data, 10(1), 267–280. http://doi.org/10.5194/essd-10-267-2018

Ciavatta, S., Brewin, R. J. W., Skákala, J., Polimene, L., de Mora, L., Artioli, Y., & Allen, J. I. (2018). Assimilation of Ocean-Color Plankton Functional Types to Improve Marine Ecosystem Simulations. Journal of Geophysical Research: Oceans, 123(2), 834–854. http://doi.org/10.1002/2017JC013490

Dahigamuwa, T., Gunaratne, M., Li, M., Dahigamuwa, T., Gunaratne, M., & Li, M. (2018). An Improved Data-Driven Approach for the Prediction of Rainfall-Triggered Soil Slides Using Downscaled Remotely Sensed Soil Moisture. Geosciences, 8(9), 326. http://doi.org/10.3390/geosciences8090326

de Leeuw, G., Sogacheva, L., Rodriguez, E., Kourtidis, K., Georgoulias, A. K., Alexandri, G., … van der A, R. (2018). Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns. Atmospheric Chemistry and Physics, 18(3), 1573–1592. http://doi.org/10.5194/acp-18-1573-2018

Dirmeyer, P., Norton, H., Dirmeyer, P. A., & Norton, H. E. (2018). Indications of Surface and Sub-Surface Hydrologic Properties from SMAP Soil Moisture Retrievals. Hydrology, 5(3), 36. http://doi.org/10.3390/hydrology5030036

El Khalki, E. M., Tramblay, Y., El Mehdi Saidi, M., Bouvier, C., Hanich, L., Benrhanem, M., & Alaouri, M. (2018). Comparison of modeling approaches for flood forecasting in the High Atlas Mountains of Morocco. Arabian Journal of Geosciences, 11(15), 410. http://doi.org/10.1007/s12517-018-3752-7

Fan, L., Wigneron, J.-P., Xiao, Q., Al-Yaari, A., Wen, J., Martin-StPaul, N., … Kerr, Y. H. (2018). Evaluation of microwave remote sensing for monitoring live fuel moisture content in the Mediterranean region. Remote Sensing of Environment, 205, 210–223. http://doi.org/10.1016/J.RSE.2017.11.020

Gevaert, A. I., Renzullo, L. J., van Dijk, A. I. J. M., van der Woerd, H. J., Weerts, A. H., & de Jeu, R. A. M. (2018). Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation. Hydrology and Earth System Sciences, 22(9), 4605–4619. http://doi.org/10.5194/hess-22-4605-2018

Gómez, D., Salvador, P., Sanz, J., Casanova, C., Casanova, J., Gómez, D., … Casanova, J. L. (2018). Detecting Areas Vulnerable to Sand Encroachment Using Remote Sensing and GIS Techniques in Nouakchott, Mauritania. Remote Sensing, 10(10), 1541. http://doi.org/10.3390/rs10101541

Gómez, D., Salvador, P., Sanz, J., Casanova, C., Taratiel, D., & Casanova, J. L. (2018). Machine learning approach to locate desert locust breeding areas based on ESA CCI soil moisture. Journal of Applied Remote Sensing, 12(03), 1. http://doi.org/10.1117/1.JRS.12.036011

Gruber, A., Crow, W. T., & Dorigo, W. A. (2018). Assimilation of Spatially Sparse In Situ Soil Moisture Networks into a Continuous Model Domain. Water Resources Research, 54(2), 1353–1367. http://doi.org/10.1002/2017WR021277

He, W., Ju, W., Schwalm, C. R., Sippel, S., Wu, X., He, Q., … Jain, A. K. (2018). Large-Scale Droughts Responsible for Dramatic Reductions of Terrestrial Net Carbon Uptake Over North America in 2011 and 2012. Journal of Geophysical Research: Biogeosciences, 123(7), 2053–2071. http://doi.org/10.1029/2018JG004520

Huang, M., Crawford, J. H., Diskin, G. S., Santanello, J. A., Kumar, S. V., Pusede, S. E., … Carmichael, G. R. (2018). Modeling Regional Pollution Transport Events During KORUS-AQ: Progress and Challenges in Improving Representation of Land-Atmosphere Feedbacks. Journal of Geophysical Research: Atmospheres. http://doi.org/10.1029/2018JD028554

Jia, B., Liu, J., Xie, Z., Shi, C., Jia, B., Liu, J., … Shi, C. (2018). Interannual Variations and Trends in Remotely Sensed and Modeled Soil Moisture in China. Journal of Hydrometeorology, 19(5), 831–847. http://doi.org/10.1175/JHM-D-18-0003.1

Jiménez, C., Martens, B., Miralles, D. M., Fisher, J. B., Beck, H. E., & Fernández-Prieto, D. (2018). Exploring the merging of the global land evaporation WACMOS-ET products based on local tower measurements. Hydrology and Earth System Sciences, 22(8), 4513–4533. http://doi.org/10.5194/hess-22-4513-2018

Jin, Y., Ge, Y., Wang, J., Heuvelink, G., Wang, L., Jin, Y., … Wang, L. (2018). Geographically Weighted Area-to-Point Regression Kriging for Spatial Downscaling in Remote Sensing. Remote Sensing, 10(4), 579. http://doi.org/10.3390/rs10040579

Jing, W., Song, J., & Zhao, X. (2018). Evaluation of Multiple Satellite-Based Soil Moisture Products over Continental U.S. Based on In Situ Measurements. Water Resources Management, 32(9), 3233–3246. http://doi.org/10.1007/s11269-018-1989-2

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Jing, W., Song, J., Zhao, X., Jing, W., Song, J., & Zhao, X. (2018). A Comparison of ECV and SMOS Soil Moisture Products Based on OzNet Monitoring Network. Remote Sensing, 10(5), 703. http://doi.org/10.3390/rs10050703

Jing, W., Zhang, P., & Zhao, X. (2018). Reconstructing Monthly ECV Global Soil Moisture with an Improved Spatial Resolution. Water Resources Management, 32(7), 2523–2537. http://doi.org/10.1007/s11269-018-1944-2

Kang, J., Jin, R., Li, X., Zhang, Y., Zhu, Z., Kang, J., … Zhu, Z. (2018). Spatial Upscaling of Sparse Soil Moisture Observations Based on Ridge Regression. Remote Sensing, 10(2), 192. http://doi.org/10.3390/rs10020192

KanthaRao, B., & Rakesh, V. (2018). Observational evidence for the relationship between spring soil moisture and June rainfall over the Indian region. Theoretical and Applied Climatology, 132(3–4), 835–849. http://doi.org/10.1007/s00704-017-2116-7

Keppens, A., Lambert, J.-C., Granville, J., Hubert, D., Verhoelst, T., Compernolle, S., Latter, B., Kerridge, B., Siddans, R., Boynard, A., Hadji-Lazaro, J., Clerbaux, C., Wespes, C., Hurtmans, D. R., Coheur, P.-F., van Peet, J. C. A., van der A, R. J., Garane, K., Koukouli, M. E., Balis, D. S., Delcloo, A., Kivi, R., Stübi, R., Godin-Beekmann, S., Van Roozendael, M., and Zehner, C.: Quality assessment of the Ozone_cci Climate Research Data Package (release 2017) – Part 2: Ground-based validation of nadir ozone profile data products, Atmos. Meas. Tech., 11, 3769-3800, https://doi.org/10.5194/amt-11-3769-2018, 2018.

Khaki, M., Awange, J., Forootan, E., & Kuhn, M. (2018). Understanding the association between climate variability and the Nile’s water level fluctuations and water storage changes during 1992–2016. Science of The Total Environment, 645, 1509–1521. http://doi.org/10.1016/J.SCITOTENV.2018.07.212

Khan, U., Ajami, H., Tuteja, N. K., Sharma, A., & Kim, S. (2018). Catchment scale simulations of soil moisture dynamics using an equivalent cross-section based hydrological modelling approach. Journal of Hydrology, 564, 944–966. http://doi.org/10.1016/J.JHYDROL.2018.07.066

Kim, D., Moon, H., Kim, H., Im, J., & Choi, M. (2018). Intercomparison of Downscaling Techniques for Satellite Soil Moisture Products. Advances in Meteorology, 2018, 1–16. http://doi.org/10.1155/2018/4832423

Kim, H., Parinussa, R., Konings, A. G., Wagner, W., Cosh, M. H., Lakshmi, V., … Choi, M. (2018). Global-scale assessment and combination of SMAP with ASCAT (active) and AMSR2 (passive) soil moisture products. Remote Sensing of Environment, 204, 260–275. http://doi.org/10.1016/J.RSE.2017.10.026

Kim, S., Paik, K., Johnson, F. M., & Sharma, A. (2018). Building a Flood-Warning Framework for Ungauged Locations Using Low Resolution, Open-Access Remotely Sensed Surface Soil Moisture, Precipitation, Soil, and Topographic Information. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(2), 375–387. http://doi.org/10.1109/JSTARS.2018.2790409

Konrad, H., Shepherd, A., Gilbert, L., Hogg, A. E., McMillan, M., Muir, A., & Slater, T. (2018). Net retreat of Antarctic glacier grounding lines. Nature Geoscience, 11(4), 258–262. http://doi.org/10.1038/s41561-018-0082-z

Land, P., Bailey, T., Taberner, M., Pardo, S., Sathyendranath, S., Nejabati Zenouz, K., … Quartly, G. D. (2018). A Statistical Modeling Framework for Characterising Uncertainty in Large Datasets: Application to Ocean Colour. Remote Sensing, 10(5), 695. http://doi.org/10.3390/rs10050695

Laurent, P., Mouillot, F., Moreno, M. V., Yue, C., & Ciais, P. (2018). Varying relationships between fire intensity and fire size at global scale. Biogeosciences Discussions, 1–18. http://doi.org/10.5194/bg-2018-334

Laurent, P., Mouillot, F., Yue, C., Ciais, P., Moreno, M. V., & Nogueira, J. M. P. (2018). FRY, a global database of fire patch functional traits derived from space-borne burned area products. Scientific Data, 5, 180132. http://doi.org/10.1038/sdata.2018.132

Lavergne, T., Sørensen, A. M., Kern, S., Tonboe, R., Notz, D., Aaboe, S., … Pedersen, L. T. (2018). Version 2 of the EUMETSAT OSI SAF and ESA CCI Sea Ice Concentration Climate Data Records. The Cryosphere Discussions, 1–47. http://doi.org/10.5194/tc-2018-127

Lindbäck, K., Kohler, J., Pettersson, R., Nuth, C., Langley, K., Messerli, A., … Brandt, O. (2018). Subglacial topography, ice thickness, and bathymetry of Kongsfjorden, northwestern Svalbard. Earth Syst. Sci. Data, 10, 1769–1781. http://doi.org/10.5194/essd-10-1769-2018

Liu, X., Devred, E., Johnson, C., Liu, X., Devred, E., & Johnson, C. (2018). Remote Sensing of Phytoplankton Size Class in Northwest Atlantic from 1998 to 2016: Bio-Optical Algorithms Comparison and Application. Remote Sensing, 10(7), 1028. http://doi.org/10.3390/rs10071028

Lobanova, P., Tilstone, G. H., Bashmachnikov, I., Brotas, V., Lobanova, P., Tilstone, G. H., … Brotas, V. (2018). Accuracy Assessment of Primary Production Models with and without Photoinhibition Using Ocean-Colour Climate Change Initiative Data in the North East Atlantic Ocean. Remote Sensing, 10(7), 1116. http://doi.org/10.3390/rs10071116

Lohberger, S., Stängel, M., Atwood, E. C., & Siegert, F. (2018). Spatial evaluation of Indonesia’s 2015 fire-affected area and estimated carbon emissions using Sentinel-1. Global Change Biology, 24(2), 644–654. http://doi.org/10.1111/gcb.13841

Loizu, J., Massari, C., Álvarez-Mozos, J., Tarpanelli, A., Brocca, L., & Casalí, J. (2018). On the assimilation set-up of ASCAT soil moisture data for improving streamflow catchment simulation. Advances in Water Resources, 111, 86–104. http://doi.org/10.1016/J.ADVWATRES.2017.10.034

Lou, D., Wang, G., Shan, C., Hagan, D. F. T., Ullah, W., & Shi, D. (2018). Changes of Soil Moisture from Multiple Sources during 1988–2010 in the Yellow River Basin, China. Advances in Meteorology, 2018, 1–14. http://doi.org/10.1155/2018/1950529

Massari, C., Camici, S., Ciabatta, L., Brocca, L., Massari, C., Camici, S., … Brocca, L. (2018). Exploiting Satellite-Based Surface Soil Moisture for Flood Forecasting in the Mediterranean Area: State Update Versus Rainfall Correction. Remote Sensing, 10(2), 292. http://doi.org/10.3390/rs10020292

McNabb, R., Nuth, C., Kääb, A., & Girod, L. (2018). Sensitivity of geodetic glacier mass balance estimation to DEM void interpolation. The Cryosphere Discussions, 1–29. http://doi.org/10.5194/tc-2018-175

Mei, L., Rozanov, V., Vountas, M., & Burrows, J. P. (2018). The retrieval of ice cloud parameters from multi-spectral satellite observations of reflectance using a modified XBAER algorithm. Remote Sensing of Environment, 215, 128–144. http://doi.org/10.1016/J.RSE.2018.06.007

Mielonen, T., Hienola, A., Kühn, T., Merikanto, J., Lipponen, A., Bergman, T., … Kokkola, H. (2018). Summertime Aerosol Radiative Effects and Their Dependence on Temperature over the Southeastern USA. Atmosphere, 9(5), 180. http://doi.org/10.3390/atmos9050180

Mishra, V., Shah, R., Azhar, S., Modi, P., & Kumar, R. (2018). Reconstruction of droughts in India using multiple land-surface models (1951-2015). Hydrol. Earth Syst. Sci, 22, 2269–2284. http://doi.org/10.5194/hess-22-2269-2018

Mölg, N., Bolch, T., Rastner, P., Strozzi, T., & Paul, F. (2018). A consistent glacier inventory for Karakoram and Pamir derived from Landsat data: distribution of debris cover and mapping challenges. Earth Syst. Sci. Data, 10, 1807–1827. http://doi.org/10.5194/essd-10-1807-2018

Monolisha, S., Platt, T., Sathyendranath, S., Jayasankar, J., George, G., & Jackson, T. (2018). Optical Classification of the Coastal Waters of the Northern Indian Ocean. Frontiers in Marine Science, 5, 87. http://doi.org/10.3389/fmars.2018.00087

Niroula, S., Halder, S., & Ghosh, S. (2018). Perturbations in the initial soil moisture conditions: Impacts on hydrologic simulation in a large river basin. Journal of Hydrology, 561, 509–522. http://doi.org/10.1016/J.JHYDROL.2018.04.029

Pablos, M., González-Zamora, Á., Sánchez, N., Martínez-Fernández, J., Pablos, M., González-Zamora, Á., … Martínez-Fernández, J. (2018). Assessment of Root Zone Soil Moisture Estimations from SMAP, SMOS and MODIS Observations. Remote Sensing, 10(7), 981. http://doi.org/10.3390/rs10070981

Parker, R. J., H. Boesch, J. McNorton, E. Comyn-Platt, M. Gloor, C. Wilson, M. P. Chipperfield, G. D. Hayman, A. A. Bloom, Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH4 observations, Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2018.02.011, Vol. 211, 261-275, 2018.

Parinussa, R. M., Wang, G., Liu, Y., Lou, D., Hagan, D. F. T., Zhan, M., … Jiang, T. (2018). Improved surface soil moisture anomalies from Fengyun-3B over the Jiangxi province of the People’s Republic of China. International Journal of Remote Sensing, 1–13. http://doi.org/10.1080/01431161.2018.1500729

Passaro, M., Rose, S. K., Andersen, O. B., Boergens, E., Calafat, F. M., Dettmering, D., & Benveniste, J. (2018). ALES+: Adapting a homogenous ocean retracker for satellite altimetry to sea ice leads, coastal and inland waters. Remote Sensing of Environment, 211, 456–471. http://doi.org/10.1016/J.RSE.2018.02.074

Petropoulos, G., Srivastava, P., Piles, M., Pearson, S., Petropoulos, G. P., Srivastava, P. K., … Pearson, S. (2018). Earth Observation-Based Operational Estimation of Soil Moisture and Evapotranspiration for Agricultural Crops in Support of Sustainable Water Management. Sustainability, 10(2), 181. http://doi.org/10.3390/su10010181

Pinnington, E., Quaife, T., & Black, E. (2018). Impact of remotely sensed soil moisture and precipitation on soil moisture prediction in a data assimilation system with the JULES land surface model. Hydrology and Earth System Sciences, 22(4), 2575–2588. http://doi.org/10.5194/hess-22-2575-2018

Poméon, T., Diekkrüger, B., Springer, A., Kusche, J., Eicker, A., Poméon, T., … Eicker, A. (2018). Multi-Objective Validation of SWAT for Sparsely-Gauged West African River Basins—A Remote Sensing Approach. Water, 10(4), 451. http://doi.org/10.3390/w10040451

Prakash, S. (2018). Capabilities of satellite-derived datasets to detect consecutive Indian mon...: Discovery Service for European Space Agency. Current Science , 114(11), 2362–2368.

Ramo, R., García, M., Rodríguez, D., & Chuvieco, E. (2018). A data mining approach for global burned area mapping. International Journal of Applied Earth Observation and Geoinformation, 73, 39–51. http://doi.org/10.1016/J.JAG.2018.05.027

Roteta, E. et al. (2018) Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa. Remote Sensing of Environment 222 (2019) 1–17. https://doi.org/10.1016/j.rse.2018.12.011

Ruosteenoja, K., Markkanen, T., Venäläinen, A., Räisänen, P., & Peltola, H. (2018). Seasonal soil moisture and drought occurrence in Europe in CMIP5 projections for the 21st century. Climate Dynamics, 50(3–4), 1177–1192. http://doi.org/10.1007/s00382-017-3671-4

Sawada, Y., Sawada, & Yohei. (2018). Quantifying Drought Propagation from Soil Moisture to Vegetation Dynamics Using a Newly Developed Ecohydrological Land Reanalysis. Remote Sensing, 10(8), 1197. http://doi.org/10.3390/rs10081197

Sevestre, H., Benn, D. I., Luckman, A., Nuth, C., Kohler, J., Lindbäck, K., & Pettersson, R. (2018). Tidewater Glacier Surges Initiated at the Terminus. Journal of Geophysical Research: Earth Surface, 123(5), 1035–1051. http://doi.org/10.1029/2017JF004358

Shalina, E. V., & Sandven, S. (2018). Snow depth on Arctic sea ice from historical in situ data. The Cryosphere, 12(6), 1867–1886. http://doi.org/10.5194/tc-12-1867-2018

Sheng, J.-X., Jacob, D. J., Turner, A. J., Maasakkers, J. D., Benmergui, J., Bloom, A. A., … Parker, R. J. (2018). 2010–2016 methane trends over Canada, the United States, and Mexico observed by the GOSAT satellite: contributions from different source sectors. Atmospheric Chemistry and Physics, 18(16), 12257–12267. http://doi.org/10.5194/acp-18-12257-2018

Skákala, J., Ford, D., Brewin, R. J. W., McEwan, R., Kay, S., Taylor, B., … Ciavatta, S. (2018). The Assimilation of Phytoplankton Functional Types for Operational Forecasting in the Northwest European Shelf. Journal of Geophysical Research: Oceans, 123(8), 5230–5247. http://doi.org/10.1029/2018JC014153

Stocker, B. D., Zscheischler, J., Keenan, T. F., Prentice, I. C., Peñuelas, J., & Seneviratne, S. I. (2018). Quantifying soil moisture impacts on light use efficiency across biomes. New Phytologist, 218(4), 1430–1449. http://doi.org/10.1111/nph.15123

Teubner, I. E., Forkel, M., Jung, M., Liu, Y. Y., Miralles, D. G., Parinussa, R., … Dorigo, W. A. (2018). Assessing the relationship between microwave vegetation optical depth and gross primary production. International Journal of Applied Earth Observation and Geoinformation, 65, 79–91. http://doi.org/10.1016/J.JAG.2017.10.006

van der Schalie, R., de Jeu, R., Parinussa, R., Rodríguez-Fernández, N., Kerr, Y., Al-Yaari, A., … Drusch, M. (2018). The Effect of Three Different Data Fusion Approaches on the Quality of Soil Moisture Retrievals from Multiple Passive Microwave Sensors. Remote Sensing, 10(2), 107. http://doi.org/10.3390/rs10010107

van Peet, J. C. A., van der A, R. J., Kelder, H. M., & Levelt, P. F. (2018). Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments. Atmospheric Chemistry and Physics, 18(3), 1685–1704. http://doi.org/10.5194/acp-18-1685-2018

Wang, H., He, B., Zhang, Y., Huang, L., Chen, Z., & Liu, J. (2018). Response of ecosystem productivity to dry/wet conditions indicated by different drought indices. Science of The Total Environment, 612, 347–357. http://doi.org/10.1016/j.scitotenv.2017.08.212

Wang, S., Mo, X., Hu, S., Liu, S., & Liu, Z. (2018). Assessment of droughts and wheat yield loss on the North China Plain with an aggregate drought index (ADI) approach. Ecological Indicators, 87, 107–116. http://doi.org/10.1016/J.ECOLIND.2017.12.047

Wang, Y., Yang, J., Chen, Y., De Maeyer, P., Li, Z., & Duan, W. (2018). Detecting the Causal Effect of Soil Moisture on Precipitation Using Convergent Cross Mapping. Scientific Reports, 8(1), 12171. http://doi.org/10.1038/s41598-018-30669-2

Weber, M., Coldewey-Egbers, M., Fioletov, V. E., Frith, S. M., Wild, J. D., Burrows, J. P., … Loyola, D. (2018). Total ozone trends from 1979 to 2016 derived from five merged observational datasets – the emergence into ozone recovery. Atmospheric Chemistry and Physics, 18(3), 2097–2117. http://doi.org/10.5194/acp-18-2097-2018

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Xu, X.-Y., Birol, F., Cazenave, A., Xu, X.-Y., Birol, F., & Cazenave, A. (2018). Evaluation of Coastal Sea Level Offshore Hong Kong from Jason-2 Altimetry. Remote Sensing, 10(2), 282. http://doi.org/10.3390/rs10020282

Yan, H., Zarekarizi, M., & Moradkhani, H. (2018). Toward improving drought monitoring using the remotely sensed soil moisture assimilation: A parallel particle filtering framework. Remote Sensing of Environment, 216, 456–471. http://doi.org/10.1016/J.RSE.2018.07.017

Yin, J., Shen, R., Meng, Q., Xu, H., & Wang, H. (2018). Satellite Soil Moisture and Its Applications. Advances in Meteorology, 2018, 1–2. http://doi.org/10.1155/2018/4328574

Zampieri, M., Carmona Garcia, G., Dentener, F., Gumma, M., Salamon, P., Seguini, L., … Toreti, A. (2018). Surface Freshwater Limitation Explains Worst Rice Production Anomaly in India in 2002. Remote Sensing, 10(2), 244. http://doi.org/10.3390/rs10020244

Zhang, Q., Li, J., Gu, X., & Shi, P. (2018). Is the Pearl River basin, China, drying or wetting? Seasonal variations, causes and implications. Global and Planetary Change, 166, 48–61. http://doi.org/10.1016/J.GLOPLACHA.2018.04.005

Zhao, W., Sánchez, N., Lu, H., & Li, A. (2018). A spatial downscaling approach for the SMAP passive surface soil moisture product using random forest regression. Journal of Hydrology, 563, 1009–1024. http://doi.org/10.1016/J.JHYDROL.2018.06.081

Zheng, D., Wang, X., van der Velde, R., Ferrazzoli, P., Wen, J., Wang, Z., … Su, Z. (2018). Impact of surface roughness, vegetation opacity and soil permittivity on L-band microwave emission and soil moisture retrieval in the third pole environment. Remote Sensing of Environment, 209, 633–647. http://doi.org/10.1016/J.RSE.2018.03.011

Zwieback, S., Colliander, A., Cosh, M. H., Martínez-Fernández, J., Mcnairn, H., Starks, P. J., … Berg, A. (2018). Estimating time-dependent vegetation biases in the SMAP soil moisture product. Hydrol. Earth Syst. Sci, 22, 4473–4489. http://doi.org/10.5194/hess-22-4473-2018

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2017

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Adloff, F., Jordà, G., Somot, S., Sevault, F., Arsouze, T., Meyssignac, B., … Planton, S. (2017). Improving sea level simulation in Mediterranean regional climate models. Climate Dynamics, 1–12. http://doi.org/10.1007/s00382-017-3842-3

Afshar, M. H., & Yilmaz, M. T. (2017). The added utility of nonlinear methods compared to linear methods in rescaling soil moisture products. Remote Sensing of Environment, 196, 224–237. http://doi.org/10.1016/J.RSE.2017.05.017

AGARWAL, V., BOLCH, T., SYED, T. H., PIECZONKA, T., STROZZI, T., & NAGAICH, R. (2017). Area and mass changes of Siachen Glacier (East Karakoram). Journal of Glaciology, 63(237), 148–163. http://doi.org/10.1017/jog.2016.127

Al-Naimi, N., Raitsos, D., Ben-Hamadou, R., & Soliman, Y. (2017). Evaluation of Satellite Retrievals of Chlorophyll-a in the Arabian Gulf. Remote Sensing, 9(3), 301. http://doi.org/10.3390/rs9030301

Albergel, C., Munier, S., Leroux, D. J., Dewaele, H., Fairbairn, D., Barbu, A. L., … Calvet, J.-C. (2017). Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area. Geoscientific Model Development, 10(10), 3889–3912. http://doi.org/10.5194/gmd-10-3889-2017

Altena, B., & Kääb, A. (2017). Elevation Change and Improved Velocity Retrieval Using Orthorectified Optical Satellite Data from Different Orbits. Remote Sensing, 9(3), 300. http://doi.org/10.3390/rs9030300

Andela, N., Morton, D. C., Giglio, L., Chen, Y., van der Werf, G. R., Kasibhatla, P. S., … Randerson, J. T. (2017). A human-driven decline in global burned area. Science, 356(6345). Retrieved from http://science.sciencemag.org/content/356/6345/1356

Arosio, C., Rozanov, A., Malinina, E., Eichmann, K.-U., von Clarmann, T., & Burrows, J. P. (2017). Retrieval of ozone profiles from OMPS limb scattering observations. Atmospheric Measurement Techniques Discussions, 1–23. http://doi.org/10.5194/amt-2017-301

Bellprat, O., Massonnet, F., Siegert, S., Prodhomme, C., Macias-Gómez, D., Guemas, V., & Doblas-Reyes, F. (2017). Uncertainty propagation in observational references to climate model scales. Remote Sensing of Environment, 203, 101–108. http://doi.org/10.1016/J.RSE.2017.06.034

Bingen, C., Robert, C. E., Stebel, K., Brühl, C., Schallock, J., Vanhellemont, F., … Pinnock, S. (2017). Stratospheric aerosol data records for the climate change initiative: Development, validation and application to chemistry-climate modelling. Remote Sensing of Environment, 203, 296–321. http://doi.org/10.1016/j.rse.2017.06.002

Block, T., Embacher, S., Merchant, C. J., & Donlon, C. (2017). High Performance Software Framework for the Calculation of Satellite-to-Satellite Data Matchups (MMS version 1.2). Geoscientific Model Development Discussions, 1–15. http://doi.org/10.5194/gmd-2017-54

Blunden, J., & Arndt, D. S. (2017). State of the Climate in 2016. Bulletin of the American Meteorological Society, 98(8), Si-S277.

Brun, F., Berthier, E., Wagnon, P., Kääb, A., & Treichler, D. (2017). A spatially resolved estimate of High Mountain Asia glacier mass balances from 2000 to 2016. Nature Geoscience, 10(9), 668–673. http://doi.org/10.1038/ngeo2999

Buchwitz, M., Reuter, M., Schneising, O., Hewson, W., Detmers, R. G., Boesch, H., … Wunch, D. (2017). Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set. Remote Sensing of Environment, 203, 276–295. http://doi.org/10.1016/J.RSE.2016.12.027

Buchwitz, M., Schneising, O., Reuter, M., Heymann, J., Krautwurst, S., Bovensmann, H., … Turner, A. J. (2017). Satellite-derived methane hotspot emission estimates using a fast data-driven method. Atmospheric Chemistry and Physics, 17(9), 5751–5774. http://doi.org/10.5194/acp-17-5751-2017

C, G. K., Alexander, P., Singh, S., Pelt, van, J, W. J., Hilmar, G., … Andreassen, L. M. (2017). How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment. The Cryosphere, 11, 949–970. http://doi.org/10.5194/tc-11-949-2017

Cammalleri, C., Vogt, J. V., Bisselink, B., & de Roo, A. (2017). Comparing soil moisture anomalies from multiple independent sources over different regions across the globe. Hydrology and Earth System Sciences Discussions, 1–34. http://doi.org/10.5194/hess-2017-196

Carret, A., Johannessen, J. A., Andersen, O. B., Ablain, M., Prandi, P., Blazquez, A., & Cazenave, A. (2017). Arctic Sea Level During the Satellite Altimetry Era. Surveys in Geophysics, 38(1), 251–275. http://doi.org/10.1007/s10712-016-9390-2

Chambers, D. P., Cazenave, A., Champollion, N., Dieng, H., Llovel, W., Forsberg, R., … Wada, Y. (2017). Evaluation of the Global Mean Sea Level Budget between 1993 and 2014. Surveys in Geophysics, 38(1), 309–327. http://doi.org/10.1007/s10712-016-9381-3

Chipperfield, M. P., Bekki, S., Dhomse, S., Harris, N. R. P., Hassler, B., Hossaini, R., … Weber, M. (2017). Detecting recovery of the stratospheric ozone layer. Nature, 549(7671), 211–218. http://doi.org/10.1038/nature23681

Christensen, M. W., Neubauer, D., Poulsen, C. A., Thomas, G. E., McGarragh, G. R., Povey, A. C., … Grainger, R. G. (2017). Unveiling aerosol–cloud interactions – Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate. Atmospheric Chemistry and Physics, 17(21), 13151–13164. http://doi.org/10.5194/acp-17-13151-2017

Christensen, M. W., Neubauer, D., Poulsen, C., Thomas, G., McGarragh, G., Povey, A. C., … Grainger, R. G. (2017). Unveiling aerosol-cloud interactions Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate. Atmospheric Chemistry and Physics Discussions, 1–21. http://doi.org/10.5194/acp-2017-450

Cipollini, P., Calafat, F. M., Jevrejeva, S., Melet, A., & Prandi, P. (2017). Monitoring Sea Level in the Coastal Zone with Satellite Altimetry and Tide Gauges. Surveys in Geophysics, 38(1), 33–57. http://doi.org/10.1007/s10712-016-9392-0

Cui, C., Xu, J., Zeng, J., Chen, K.-S., Bai, X., Lu, H., … Zhao, T. (2017). Soil Moisture Mapping from Satellites: An Intercomparison of SMAP, SMOS, FY3B, AMSR2, and ESA CCI over Two Dense Network Regions at Different Spatial Scales. Remote Sensing, 10(2), 33. http://doi.org/10.3390/rs10010033

Dantec-Nédélec, S., Ottlé, C., Wang, T., Guglielmo, F., Maignan, F., Delbart, N., … Jouzel, J. (2017). Testing the capability of ORCHIDEE land surface model to simulate Arctic ecosystems: Sensitivity analysis and site-level model calibration. Journal of Advances in Modeling Earth Systems, 9(2), 1212–1230. http://doi.org/10.1002/2016MS000860

Dorigo, W., Chung, D., Gruber, A., Hahn, S., Mistelbauer, T., Parinussa, R., … Wagner, W. (2017). Hydrological cycle: Soil Moisture in 'State of the Climate in 2016', Bull. Amer. Meteor. Soc, 98(8), 30–32.

Dorigo, W., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., … Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. Remote Sensing of Environment, 203, 185–215. http://doi.org/10.1016/J.RSE.2017.07.001

Evers-King, H., Martinez-Vicente, V., Brewin, R. J. W., Dall’Olmo, G., Hickman, A. E., Jackson, T., … Sathyendranath, S. (2017). Validation and Intercomparison of Ocean Color Algorithms for Estimating Particulate Organic Carbon in the Oceans. Frontiers in Marine Science, 4, 251. http://doi.org/10.3389/fmars.2017.00251

Ford, D., & Barciela, R. (2017). Global marine biogeochemical reanalyses assimilating two different sets of merged ocean colour products. Remote Sensing of Environment, 203, 40–54. http://doi.org/10.1016/j.rse.2017.03.040

Forkel, M., Dorigo, W., Lasslop, G., Teubner, I., Chuvieco, E., & Thonicke, K. (2017). A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1). Geoscientific Model Development, 10(12), 4443–4476. http://doi.org/10.5194/gmd-10-4443-2017

Forsberg, R., Sorensen, L., Simonsen, S., Sørensen, L., & Simonsen, S. (2017). Greenland and Antarctica Ice Sheet Mass Changes and Effects on Global Sea Level. Surveys in Geophysics, 38(1), 89–104. http://doi.org/10.1007/s10712-016-9398-7

Girod, L., Nuth, C., Kääb, A., Etzelmüller, B., & Kohler, J. (2017). Terrain changes from images acquired on opportunistic flights by SfM photogrammetry. The Cryosphere, 11(2), 827–840. http://doi.org/10.5194/tc-11-827-2017

Girod, L., Nuth, C., Kääb, A., McNabb, R., & Galland, O. (2017). MMASTER: Improved ASTER DEMs for Elevation Change Monitoring. Remote Sensing, 9(7), 704. http://doi.org/10.3390/rs9070704

Gittings, J. A., Raitsos, D. E., Racault, M.-F., Brewin, R. J. W., Pradhan, Y., Sathyendranath, S., & Platt, T. (2017). Seasonal phytoplankton blooms in the Gulf of Aden revealed by remote sensing. Remote Sensing of Environment, 189, 56–66. http://doi.org/10.1016/J.RSE.2016.10.043

Goerlich, F., Bolch, T., Mukherjee, K., & Pieczonka, T. (2017). Glacier Mass Loss during the 1960s and 1970s in the Ak-Shirak Range (Kyrgyzstan) from Multiple Stereoscopic Corona and Hexagon Imagery. Remote Sensing, 9(3), 275. http://doi.org/10.3390/rs9030275

Gourmelen, N., Goldberg, D. N., Snow, K., Henley, S. F., Bingham, R. G., Kimura, S., … van de Berg, W. J. (2017). Channelized Melting Drives Thinning Under a Rapidly Melting Antarctic Ice Shelf. Geophysical Research Letters, 44(19), 9796–9804. http://doi.org/10.1002/2017GL074929

Gruber, A., Dorigo, W. A., Crow, W., & Wagner, W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing, 55(12), 6780–6792. http://doi.org/10.1109/TGRS.2017.2734070

Guo, L., Xiu, P., Chai, F., Xue, H., Wang, D., & Sun, J. (2017). Enhanced Chlorophyll Concentrations Induced by Kuroshio Intrusion Fronts in the Northern South China Sea. Geophysical Research Letters, 44(22), 11,565-11,572. http://doi.org/10.1002/2017GL075336

Hartley, A. J., MacBean, N., Georgievski, G., & Bontemps, S. (2017). Uncertainty in plant functional type distributions and its impact on land surface models. Remote Sensing of Environment, 203, 71–89. http://doi.org/10.1016/J.RSE.2017.07.037

He, B., Wang, H., Huang, L., Liu, J., & Chen, Z. (2017). A new indicator of ecosystem water use efficiency based on surface soil moisture retrieved from remote sensing. Ecological Indicators, 75, 10–16. http://doi.org/10.1016/j.ecolind.2016.12.017

Heimhuber, V., Tulbure, M. G., & Broich, M. (2017). Modeling multidecadal surface water inundation dynamics and key drivers on large river basin scale using multiple time series of Earth-observation and river flow data. Water Resources Research, 53(2), 1251–1269. http://doi.org/10.1002/2016WR019858

Heymann, J., Reuter, M., Buchwitz, M., Schneising, O., Bovensmann, H., Burrows, J. P., … Crisp, D. (2017). CO2 emission of Indonesian fires in 2015 estimated from satellite-derived atmospheric CO2 concentrations. Geophysical Research Letters, 44(3), 1537–1544. http://doi.org/10.1002/2016GL072042

Hieronymi, M., M?ller, D., & Doerffer, R. (2017). The OLCI Neural Network Swarm (ONNS): A Bio-Geo-Optical Algorithm for Open Ocean and Coastal Waters. Frontiers in Marine Science, 4, 140. http://doi.org/10.3389/fmars.2017.00140

Hogg, A. E., & Gudmundsson, G. H. (2017). Impacts of the Larsen-C Ice Shelf calving event. Nature Climate Change, 7(8), 540–542. http://doi.org/10.1038/nclimate3359

Hogg, A. E., Shepherd, A., Cornford, S. L., Briggs, K. H., Gourmelen, N., Graham, J. A., … Wuite, J. (2017). Increased ice flow in Western Palmer Land linked to ocean melting. Geophysical Research Letters, 44(9), 4159–4167. http://doi.org/10.1002/2016GL072110

Huber, J., Cook, A. J., Paul, F., & Zemp, M. (2017). A complete glacier inventory of the Antarctic Peninsula based on Landsat 7 images from 2000 to 2002 and other preexisting data sets. Earth Syst. Sci. Data, 9, 115–131. Retrieved from www.earth-syst-sci-data.net/9/115/2017/

Hunt, K. M. R., Turner, A. G., Hunt, K. M. R., & Turner, A. G. (2017). The Effect of Soil Moisture Perturbations on Indian Monsoon Depressions in a Numerical Weather Prediction Model. Journal of Climate, 30(21), 8811–8823. http://doi.org/10.1175/JCLI-D-16-0733.1

Jackson, T., Sathyendranath, S., & Mélin, F. (2017). An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications. Remote Sensing of Environment, 203, 152–161. http://doi.org/10.1016/j.rse.2017.03.036

Jin, Q., Wei, J., Yang, Z.-L., & Lin, P. (2017). Irrigation-Induced Environmental Changes around the Aral Sea: An Integrated View from Multiple Satellite Observations. Remote Sensing, 9(9), 900. http://doi.org/10.3390/rs9090900

Kääb, A., Altena, B., & Mascaro, J. (2017). Coseismic displacements of the 14 November 2016 Mw 7.8 Kaikoura, New Zealand, earthquake using the Planet optical cubesat constellation. Natural Hazards and Earth System Sciences, 17(5), 627–639. http://doi.org/10.5194/nhess-17-627-2017

Kaminski, T., Scholze, M., Vossbeck, M., Knorr, W., Buchwitz, M., & Reuter, M. (2017). Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide. Remote Sensing of Environment, 203, 109–124. http://doi.org/10.1016/J.RSE.2017.08.017

Karthikeyan, L., Pan, M., Wanders, N., Kumar, D. N., & Wood, E. F. (2017). Four decades of microwave satellite soil moisture observations: Part 2. Product validation and inter-satellite comparisons. Advances in Water Resources, 109, 236–252. http://doi.org/10.1016/J.ADVWATRES.2017.09.010

Karthikeyan, L., Pan, M., Wanders, N., Kumar, D. N., & Wood, E. F. (2017). Four decades of microwave satellite soil moisture observations: Part 1. A review of retrieval algorithms. Advances in Water Resources, 109, 106–120. http://doi.org/10.1016/J.ADVWATRES.2017.09.006

Kim, S., Balakrishnan, K., Liu, Y., Johnson, F., & Sharma, A. (2017). Spatial Disaggregation of Coarse Soil Moisture Data by Using High-Resolution Remotely Sensed Vegetation Products. IEEE Geoscience and Remote Sensing Letters, 14(9), 1604–1608. http://doi.org/10.1109/LGRS.2017.2725945

Klüser, L., Popp, T., & Popp, T. (2017). Large-Scale Analysis of Relationships between Mineral Dust, Ice Cloud Properties, and Precipitation from Satellite Observations Using a Bayesian Approach: Theoretical Basis and First Results for the Tropical Atlantic Ocean. Advances in Meteorology, 2017, 1–18. http://doi.org/10.1155/2017/5278120

Kolassa, J., Gentine, P., Prigent, C., Aires, F., & Alemohammad, S. H. (2017). Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation. Remote Sensing of Environment, 195, 202–217. http://doi.org/10.1016/j.rse.2017.04.020

Koldunov, N. V., Köhl, A., Serra, N., & Stammer, D. (2017). Sea ice assimilation into a coupled ocean–sea ice model using its adjoint. The Cryosphere, 11(5), 2265–2281. http://doi.org/10.5194/tc-11-2265-2017

Krug, L. A., Platt, T., Sathyendranath, S., & Barbosa, A. B. (2017). Unravelling region-specific environmental drivers of phytoplankton across a complex marine domain (off SW Iberia). Remote Sensing of Environment, 203, 162–184. http://doi.org/10.1016/J.RSE.2017.05.029

Kundu, D., Vervoort, R. W., & van Ogtrop, F. F. (2017). The value of remotely sensed surface soil moisture for model calibration using SWAT. Hydrological Processes, 31(15), 2764–2780. http://doi.org/10.1002/hyp.11219

Kylling, A., Vandenbussche, S., Capelle, V., Cuesta, J., Klüser, L., Lelli, L., … Veefkind, P. (2017). Comparison of dust layer heights from active and passive satellite sensors. Atmospheric Measurement Techniques Discussions, 1–45. http://doi.org/10.5194/amt-2017-362

Liu, L., Liao, J., Chen, X., Zhou, G., Su, Y., Xiang, Z., … Shao, H. (2017). The Microwave Temperature Vegetation Drought Index (MTVDI) based on AMSR-E brightness temperatures for long-term drought assessment across China (2003–2010). Remote Sensing of Environment, 199, 302–320. http://doi.org/10.1016/J.RSE.2017.07.012

Liu, Y., Wang, W., & Hu, Y. (2017). Investigating the impact of surface soil moisture assimilation on state and parameter estimation in SWAT model based on the ensemble Kalman filter in upper Huai River basin. Journal of Hydrology and Hydromechanics, 65(2). http://doi.org/10.1515/johh-2017-0011

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Ma, S., Wu, Q., Wang, J., & Zhang, S. (2017). Temporal Evolution of Regional Drought Detected from GRACE TWSA and CCI SM in Yunnan Province, China. Remote Sensing, 9(11), 1124. http://doi.org/10.3390/rs9111124

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Marzeion, B., Champollion, N., Haeberli, W., Langley, K., Leclercq, P., & Paul, F. (2017). Observation-Based Estimates of Global Glacier Mass Change and Its Contribution to Sea-Level Change. Surveys in Geophysics, 38(1), 105–130. http://doi.org/10.1007/s10712-016-9394-y

McGarragh, G. R., Poulsen, C. A., Thomas, G. E., Povey, A. C., Sus, O., Stapelberg, S., … Grainger, R. G. (2017). The Community Cloud retrieval for CLimate (CC4CL). Part II: The optimal estimation approach. Atmospheric Measurement Techniques Discussions, 1–55. http://doi.org/10.5194/amt-2017-333

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Mélin, F., Vantrepotte, V., Chuprin, A., Grant, M., Jackson, T., & Sathyendranath, S. (2017). Assessing the fitness-for-purpose of satellite multi-mission ocean color climate data records: A protocol applied to OC-CCI chlorophyll-a data. Remote Sensing of Environment, 203, 139–151. http://doi.org/10.1016/j.rse.2017.03.039

Meng, X., Li, R., Luan, L., Lyu, S., Zhang, T., Ao, Y., … Ma, Y. (2017). Detecting hydrological consistency between soil moisture and precipitation and changes of soil moisture in summer over the Tibetan Plateau. Climate Dynamics. http://doi.org/10.1007/s00382-017-3646-5

Merchant, C. J., Paul, F., Popp, T., Ablain, M., Bontemps, S., Defourny, P., … Wagner, W. (2017). Uncertainty information in climate data records from Earth observation. Earth System Science Data, 9(2), 511–527. http://doi.org/10.5194/essd-9-511-2017

Meyssignac, B., Piecuch, C. G., Merchant, C. J., Racault, M.-F., Palanisamy, H., MacIntosh, C., … Brewin, R. (2017). Causes of the Regional Variability in Observed Sea Level, Sea Surface Temperature and Ocean Colour Over the Period 1993-2011. Surveys in Geophysics, 38(1), 187–215. http://doi.org/10.1007/s10712-016-9383-1

Momen, M., Wood, J. D., Novick, K. A., Pangle, R., Pockman, W. T., McDowell, N. G., & Konings, A. G. (2017). Interacting Effects of Leaf Water Potential and Biomass on Vegetation Optical Depth. Journal of Geophysical Research: Biogeosciences, 122(11), 3031–3046. http://doi.org/10.1002/2017JG004145

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Sofieva, V. F., Kyrölä, E., Laine, M., Tamminen, J., Degenstein, D., Bourassa, A., … Bhartia, P. K. (2017). Merged SAGE II, Ozone_cci and OMPS ozone profiles dataset and evaluation of ozone trends in the stratosphere. Atmospheric Chemistry and Physics Discussions, 1–28. http://doi.org/10.5194/acp-2017-598

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Strozzi, T., Kaab, A., & Schellenberger, T. (2017). Frontal destabilization of Stonebreen, Edgeoya, Svalbard. Cryosphere,11(1), 553–566. http://doi.org/10.5194/tc-11-553-2017

Strozzi, T., Paul, F., Wiesmann, A., Schellenberger, T., & Kääb, A. (2017). Circum-Arctic Changes in the Flow of Glaciers and Ice Caps from Satellite SAR Data between the 1990s and 2017. Remote Sensing, 9(9), 947. http://doi.org/10.3390/rs9090947

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Sus, O., Stengel, M., Stapelberg, S., McGarragh, G., Poulsen, C., Povey, A. C., … Hollmann, R. (2017). The Community Cloud retrieval for Climate (CC4CL). Part I: A framework applied to multiple satellite imaging sensors. Atmospheric Measurement Techniques Discussions, 1–42. http://doi.org/10.5194/amt-2017-334

Tang, B., Wu, D., Zhao, X., Zhou, T., Zhao, W., & Wei, H. (2017). The Observed Impacts of Wind Farms on Local Vegetation Growth in Northern China. Remote Sensing, 9(4), 332. http://doi.org/10.3390/rs9040332

Tian, L., Chen, J., & Zhang, Y. (2017). Growing season carries stronger contributions to albedo dynamics on the Tibetan plateau. PLOS ONE, 12(9), e0180559. http://doi.org/10.1371/journal.pone.0180559

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Treichler, D., & Kääb, A. (2017). Snow depth from ICESat laser altimetry — A test study in southern Norway. Remote Sensing of Environment, 191, 389–401. http://doi.org/10.1016/j.rse.2017.01.022

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Ciabatta, L., Brocca, L., Massari, C., Moramarco, T., Gabellani, S., Puca, S., & Wagner, W. (2016). Rainfall-runoff modelling by using SM2RAIN-derived and state-of-the-art satellite rainfall products over Italy. International Journal of Applied Earth Observation and Geoinformation, 48, 163–173. http://doi.org/10.1016/j.jag.2015.10.004

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Dragani, R. (2016). A comparative analysis of UV nadir-backscatter and infrared limb-emission ozone data assimilation. Atmospheric Chemistry and Physics, 16(13), 8539–8557. http://doi.org/10.5194/acp-16-8539-2016

Eberenz, J., Verbesselt, J., Herold, M., Tsendbazar, N. E., Sabatino, G., & Rivolta, G. (2016). Evaluating the potential of proba-v satellite image time series for improving lc classification in semi-arid african landscapes. Remote Sensing, 8(12), 987. http://doi.org/10.3390/rs8120987

Enenkel, M., Reimer, C., Dorigo, W., Wagner, W., Pfeil, I., Parinussa, R., & De Jeu, R. (2016). Combining satellite observations to develop a global soil moisture product for near-real-time applications. Hydrology and Earth System Sciences, 20(10), 4191–4208. http://doi.org/10.5194/hess-20-4191-2016

Enenkel, M., Steiner, C., Mistelbauer, T., Dorigo, W., Wagner, W., See, L., … Rogenhofer, E. (2016). A Combined Satellite-Derived Drought Indicator to Support Humanitarian Aid Organizations. Remote Sensing, 8(4), 340. http://doi.org/10.3390/rs8040340

FALASCHI, D., BOLCH, T., RASTNER, P., LENZANO, M. G., LENZANO, L., LO VECCHIO, A., & MORAGUES, S. (2016). Mass changes of alpine glaciers at the eastern margin of the Northern and Southern Patagonian Icefields between 2000 and 2012. Journal of Glaciology, 1–15. http://doi.org/10.1017/jog.2016.136

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Feng, L., Palmer, P. I., Bösch, H., Parker, R. J. ., Webb, A. J., Correia, C. S. C., … Zahn, A. (2016). Consistent regional fluxes of CH4 and CO2 inferred from GOSAT proxy XCH4:XCO2 retrievals, 2010–2014. Atmospheric Chemistry and Physics Discussions, pp: 1-33. http://doi.org/10.5194/acp-2016-868

Fernandes, M., & Lázaro, C. (2016). GPD+ Wet Tropospheric Corrections for CryoSat-2 and GFO Altimetry Missions. Remote Sensing, 8(10), 851. http://doi.org/10.3390/rs8100851

Forkel, M., Dorigo, W., Lasslop, G., Teubner, I., Chuvieco, E., & Thonicke, K. (2016). Identifying required model structures to predict global fire activity from satellite and climate data. Geoscientific Model Development Discussions, 1–35. http://doi.org/10.5194/gmd-2016-301

Gevaert, A. I., Parinussa, R. M., Renzullo, L. J., van Dijk, A. I. J. M., & de Jeu, R. A. M. (2016). Spatio-temporal evaluation of resolution enhancement for passive microwave soil moisture and vegetation optical depth. International Journal of Applied Earth Observation and Geoinformation, 45, 235–244. http://doi.org/10.1016/j.jag.2015.08.006

Gruber, A., Su, C.-H., Crow, W. T., Zwieback, S., Dorigo, W. A., & Wagner, W. (2016). Estimating error cross-correlations in soil moisture data sets using extended collocation analysis. Journal of Geophysical Research: Atmospheres, 121(3), 1208–1219. http://doi.org/10.1002/2015JD024027

Gruber, A., Su, C.-H., Zwieback, S., Crow, W., Dorigo, W., & Wagner, W. (2016). Recent advances in (soil moisture) triple collocation analysis. International Journal of Applied Earth Observation and Geoinformation, 45, 200–211. http://doi.org/10.1016/j.jag.2015.09.002

Guemas, V., Chevallier, M., Déqué, M., Bellprat, O., & Doblas-Reyes, F. (2016). Impact of sea ice initialization on sea ice and atmosphere prediction skill on seasonal timescales. Geophysical Research Letters, 43(8), 3889–3896. http://doi.org/10.1002/2015GL066626

Harper, A. B., Cox, P. M., Friedlingstein, P., Wiltshire, A. J., Jones, C. D., Sitch, S., … Van Bodegom, P. (2016). Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information. Geoscientific Model Development, 9(7), 2415–2440. http://doi.org/10.5194/gmd-9-2415-2016

Herold, M., See, L., Tsendbazar, N.-E., & Fritz, S. (2016). Towards an Integrated Global Land Cover Monitoring and Mapping System. Remote Sensing, 8(12), 1036. http://doi.org/10.3390/rs8121036

Heue, K.-P., Coldewey-Egbers, M., Delcloo, A., Lerot, C., Loyola, D., Valks, P., & van Roozendael, M. (2016). Trends of tropical tropospheric ozone from 20 years of European satellite measurements and perspectives for the Sentinel-5 Precursor. Atmospheric Measurement Techniques, 9(10), 5037–5051. http://doi.org/10.5194/amt-9-5037-2016

Hieronymi, M. (2016). Polarized reflectance and transmittance distribution functions of the ocean surface. Optics Express, 24(14), A1045. http://doi.org/10.1364/OE.24.0A1045

Hubert, D., Lambert, J.-C., Verhoelst, T., Granville, J., Keppens, A., Baray, J.-L., … Zawodny, J. M. (2016). Ground-based assessment of the bias and long-term stability of 14 limb and occultation ozone profile data records. Atmospheric Measurement Techniques, 9(6), 2497–2534. http://doi.org/10.5194/amt-9-2497-2016

Ikonen, J., Vehviläinen, J., Rautiainen, K., Smolander, T., Lemmetyinen, J., Bircher, S., & Pulliainen, J. (2016). The Sodankylä in situ soil moisture observation network: an example application of ESA CCI soil moisture product evaluation. Geoscientific Instrumentation, Methods and Data Systems, 5(1), 95–108. http://doi.org/10.5194/gi-5-95-2016

Kääb, A., Winsvold, S., Altena, B., Nuth, C., Nagler, T., & Wuite, J. (2016). Glacier Remote Sensing Using Sentinel-2. Part I: Radiometric and Geometric Performance, and Application to Ice Velocity. Remote Sensing, 8(7), 598. http://doi.org/10.3390/rs8070598

Kauppi, A., Tuinder, O. N. E., Tukiainen, S., Sofieva, V., & Tamminen, J. (2016). Comparison of GOME-2/Metop-A ozone profiles with GOMOS, OSIRIS and MLS measurements. Atmospheric Measurement Techniques, 9(1), 249–261. http://doi.org/10.5194/amt-9-249-2016

Kern, S., Rösel, A., Pedersen, L. T., Ivanova, N., Saldo, R., & Tonboe, R. T. (2016). The impact of melt ponds on summertime microwave brightness temperatures and sea ice concentrations. The Cryosphere Discussions, 1–54. http://doi.org/10.5194/tc-2015-202

Kern, S., & Ozsoy-Çiçek, B. (2016). Satellite Remote Sensing of Snow Depth on Antarctic Sea Ice: An Inter-Comparison of Two Empirical Approaches. Remote Sensing, 8(6), 450. http://doi.org/10.3390/rs8060450

Kern, S., Ozsoy-Çiçek, B., & Worby, A. (2016). Antarctic Sea-Ice Thickness Retrieval from ICESat: Inter-Comparison of Different Approaches. Remote Sensing, 8(7), 538. http://doi.org/10.3390/rs8070538

Kern, S., Rösel, A., Pedersen, L. T., Ivanova, N., Saldo, R., & Tonboe, R. T. (2016). The impact of melt ponds on summertime microwave brightness temperatures and sea-ice concentrations. The Cryosphere, 10(5), 2217–2239. http://doi.org/10.5194/tc-10-2217-2016

Kersalé, M., Petrenko, A. A., Doglioli, A. M., Nencioli, F., Bouffard, J., Blain, S., … Dekeyser, I. (2016). Lateral diffusivity coefficients from the dynamics of a SF6 patch in a coastal environment. Journal of Marine Systems, 153, 42–54. http://doi.org/10.1016/j.jmarsys.2015.09.003

Khvorostovsky, K., & Rampal, P. (2016). On retrieving sea ice freeboard from ICESat laser altimeter. The Cryosphere, 10(5), 2329–2346. http://doi.org/10.5194/tc-10-2329-2016

Klaus-Peter, H., Melanie, C.-E., Andy, D., Christophe, L., Diego, L., Pieter, V., & Michel, R. (2016). Trends of tropical tropospheric ozone from twenty years of European satellite measurements and perspectives for Sentinel-5 Precursor. Atmos. Meas. Tech. Discuss, 5194(10), 2016–139. http://doi.org/10.5194/amt-2016-139

Korsgaard, N. J., Nuth, C., Khan, S. A., Kjeldsen, K. K., Bjørk, A. A., Schomacker, A., … Krabill, W. B. (2016). Digital elevation model and orthophotographs of Greenland based on aerial photographs from 1978–1987. Scientific Data, 3, 160032. http://doi.org/10.1038/sdata.2016.32

Koukouli, M. E., Zara, M., Lerot, C., Fragkos, K., Balis, D., van Roozendael, M., … van der A, R. J. (2016). The impact of the ozone effective temperature on satellite validation using the Dobson spectrophotometer network. Atmospheric Measurement Techniques, 9(5), 2055–2065. http://doi.org/10.5194/amt-9-2055-2016

Kulawik, S., Wunch, D., O'Dell, C., Frankenberg, C., Reuter, M., Oda, T., … Wolf, J. (2016). Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON. Atmospheric Measurement Techniques, 9(2), 683–709. http://doi.org/10.5194/amt-9-683-2016

Lauer, A., Eyring, V., Righi, M., Buchwitz, M., Defourny, P., Evaldsson, M., … Will??n, U. (2016). Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool. Remote Sensing of Environment. http://doi.org/10.1016/j.rse.2017.01.007

Legeais, J.-F., Prandi, P., & Guinehut, S. (2016). Analyses of altimetry errors using Argo and GRACE data. Ocean Science, 12(3), 647–662. http://doi.org/10.5194/os-12-647-2016

Lelli, L., Weber, M., & Burrows, J. P. (2016). Evaluation of SCIAMACHY ESA/DLR Cloud Parameters Version 5.02 by Comparisons to Ground-Based and Other Satellite Data. Frontiers in Environmental Science, 4, 43. http://doi.org/10.3389/fenvs.2016.00043

Levinsen, J. F., Simonsen, S. B., Sorensen, L. S., & Forsberg, R. (2016). The Impact of DEM Resolution on Relocating Radar Altimetry Data Over Ice Sheets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(7), 3158–3163. http://doi.org/10.1109/JSTARS.2016.2587684

Loew, A., Andersson, A., Trentmann, J., & Schrӧder, M. (2016). Assessing Surface Solar Radiation Fluxes in the CMIP Ensembles. Journal of Climate, JCLI-D-14-00503.1. http://doi.org/10.1175/JCLI-D-14-00503.1

Maes, K., Vandenbussche, S., Klüser, L., Kumps, N., & de Mazière, M. (2016). Vertical Profiling of Volcanic Ash from the 2011 Puyehue Cordón Caulle Eruption Using IASI. Remote Sensing, 8(2), 103. http://doi.org/10.3390/rs8020103

Marcos, M., Marzeion, B., Dangendorf, S., Slangen, A. B. A., Palanisamy, H., & Fenoglio-Marc, L. (2016). Internal Variability Versus Anthropogenic Forcing on Sea Level and Its Components. Surveys in Geophysics, 1–20. http://doi.org/10.1007/s10712-016-9373-3

Massart, S., Agustí-Panareda, A., Heymann, J., Buchwitz, M., Chevallier, F., Reuter, M., … Velazco, V. A. (2016). Ability of the 4-D-Var analysis of the GOSAT BESD XCO2 retrievals to characterize atmospheric CO2 at large and synoptic scales. Atmospheric Chemistry and Physics, 16(3), 1653–1671. http://doi.org/10.5194/acp-16-1653-2016

Massonnet, F., Bellprat, O., Guemas, V., & Doblas-Reyes, F. J. (2016). Using climate models to estimate the quality of global observational data sets. Science (New York, N.Y.), 354(6311), 452–455. http://doi.org/10.1126/science.aaf6369

McNorton, J., Gloor, E., Wilson, C., Hayman, G. D., Gedney, N., Comyn-Platt, E., … Chipperfield, M. P. (2016). Role of regional wetland emissions in atmospheric methane variability. Geophysical Research Letters, 43(21), 11,433-11,444. http://doi.org/10.1002/2016GL070649

Mei, L., Vountas, M., Gómez-Chova, L., Rozanov, V., Jäger, M., Lotz, W., … Hollmann, R. (2016). A Cloud masking algorithm for the XBAER aerosol retrieval using MERIS data. Remote Sensing of Environment.http://doi.org/10.1016/j.rse.2016.11.016

Meul, S., Dameris, M., Langematz, U., Abalichin, J., Kerschbaumer, A., Kubin, A., & Oberländer-Hayn, S. (2016). Impact of rising greenhouse gas concentrations on future tropical ozone and UV exposure. Geophysical Research Letters, 43(6), 2919–2927. http://doi.org/10.1002/2016GL067997

Mielonen, T., Hienola, A., Kühn, T., Merikanto, J., Lipponen, A., Bergman, T., … Kokkola, H. (2016). Temperature-dependence of aerosol optical depth over the southeastern US. Atmospheric Chemistry and Physics Discussions, 0, 1–28. http://doi.org/10.5194/acp-2016-625

Nicolai-Shaw, N., Gudmundsson, L., Hirschi, M., & Seneviratne, S. I. (2016). Long-term predictability of soil moisture dynamics at the global scale: Persistence versus large-scale drivers. Geophysical Research Letters, 43(16), 8554–8562. http://doi.org/10.1002/2016GL069847

Pandey, S., Houweling, S., Krol, M., Aben, I., Chevallier, F., Dlugokencky, E. J., … Röckmann, T. (2016). Inverse modeling of GOSAT-retrieved ratios of total column CH4 and CO2 for 2009 and 2010. Atmospheric Chemistry and Physics, 16(8), 5043–5062. http://doi.org/10.5194/acp-16-5043-2016

Parker, R. J., Boesch, H., Wooster, M. J., Moore, D. P., Webb, A. J., Gaveau, D., & Murdiyarso, D. (2016). Atmospheric CH4 and CO2 enhancements and biomass burning emission ratios derived from satellite observations of the 2015 Indonesian fire plumes. Atmospheric Chemistry and Physics, 16(15), 10111–10131. http://doi.org/10.5194/acp-16-10111-2016

Passaro, M., Dinardo, S., Quartly, G. D., Snaith, H. M., Benveniste, J., Cipollini, P., & Lucas, B. (2016). Cross-calibrating ALES Envisat and CryoSat-2 Delay–Doppler: A coastal altimetry study in the Indonesian Seas. Advances in Space Research, 58(3), 289–303. http://doi.org/10.1016/j.asr.2016.04.011

Paul, F., Winsvold, S., Kääb, A., Nagler, T., & Schwaizer, G. (2016). Glacier Remote Sensing Using Sentinel-2. Part II: Mapping Glacier Extents and Surface Facies, and Comparison to Landsat 8. Remote Sensing, 8(7), 575. http://doi.org/10.3390/rs8070575

Petrakov, D., Shpuntova, A., Aleinikov, A., Kääb, A., Kutuzov, S., Lavrentiev, I., … Usubaliev, R. (2016). Accelerated glacier shrinkage in the Ak-Shyirak massif, Inner Tien Shan, during 2003–2013. Science of The Total Environment, 562, 364–378. http://doi.org/10.1016/j.scitotenv.2016.03.162

Popp, T., de Leeuw, G., Bingen, C., Brühl, C., Capelle, V., Chedin, A., … Xue, Y. (2016). Development, Production and Evaluation of Aerosol Climate Data Records from European Satellite Observations (Aerosol_cci). Remote Sensing, 8(5), 421. http://doi.org/10.3390/rs8050421

Prodhomme, C., Batté, L., Massonnet, F., Davini, P., Bellprat, O., Guemas, V., … Doblas-Reyes, F. J. (2016). Benefits of Increasing the Model Resolution for the Seasonal Forecast Quality in EC-Earth. Journal of Climate, 29(24), 9141–9162. http://doi.org/10.1175/JCLI-D-16-0117.1

Ragettli, S., Bolch, T., & Pellicciotti, F. (2016). Heterogeneous glacier thinning patterns over the last 40 years in Langtang Himal, Nepal. The Cryosphere, 10(5), 2075–2097. http://doi.org/10.5194/tc-10-2075-2016

Raj, R. P., Johannessen, J. A., Eldevik, T., Nilsen, J. E. Ø., & Halo, I. (2016). Quantifying mesoscale eddies in the Lofoten Basin. Journal of Geophysical Research: Oceans, 121(7), 4503–4521. http://doi.org/10.1002/2016JC011637

Rastner, P., Joerg, P. C., Huss, M., & Zemp, M. (2016). Historical analysis and visualization of the retreat of Findelengletscher, Switzerland, 1859–2010. Global and Planetary Change, 145, 67–77. http://doi.org/10.1016/j.gloplacha.2016.07.005

Rees, A. P., Tait, K., Widdicombe, C. E., Quartly, G. D., McEvoy, A. J., & Al-Moosawi, L. (2016). Metabolically active, non-nitrogen fixing, Trichodesmium in UK coastal waters during winter. Journal of Plankton Research, 38(3), 673–678. http://doi.org/10.1093/plankt/fbv123

Reuter, M., Buchwitz, M., Hilker, M., Heymann, J., Bovensmann, H., Burrows, J. P., … Reichstein, M. (2016). How much CO 2 is taken up by the European terrestrial biosphere? Bulletin of the American Meteorological Society, BAMS-D-15-00310.1. http://doi.org/10.1175/BAMS-D-15-00310.1

Robert, C. É., Bingen, C., Vanhellemont, F., Mateshvili, N., Dekemper, E., Tétard, C., … Zehner, C. (2016). AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 2: Intercomparisons. Atmospheric Measurement Techniques, 9(9), 4701–4718. http://doi.org/10.5194/amt-9-4701-2016

Robson, B., Hölbling, D., Nuth, C., Stozzi, T., & Dahl, S. (2016). Decadal Scale Changes in Glacier Area in the Hohe Tauern National Park (Austria) Determined by Object-Based Image Analysis. Remote Sensing, 8(1), 67. http://doi.org/10.3390/rs8010067

Rodríguez-Fernández, N., Kerr, Y., van der Schalie, R., Al-Yaari, A., Wigneron, J.-P., de Jeu, R., … Drusch, M. (2016). Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data. Remote Sensing, 8(11), 959. http://doi.org/10.3390/rs8110959

Roxy, M. K., Modi, A., Murtugudde, R., Valsala, V., Panickal, S., Prasanna Kumar, S., … Lévy, M. (2016). A reduction in marine primary productivity driven by rapid warming over the tropical Indian Ocean. Geophysical Research Letters, 43(2), 826–833. http://doi.org/10.1002/2015GL066979

Rudenko, S., Dettmering, D., Esselborn, S., Fagiolini, E., & Schöne, T. (2016). Impact of Atmospheric and Oceanic De-aliasing Level-1B (AOD1B) products on precise orbits of altimetry satellites and altimetry results. Geophysical Journal International, 204(3), 1695–1702. http://doi.org/10.1093/gji/ggv545

Schalie, R. va. der, Kerr, Y. H., Wigneron, J. P., Rodríguez-Fernández, N. J., Al-Yaari, A., & Jeu, R. A. M. d. (2016). Global SMOS Soil Moisture Retrievals from The Land Parameter Retrieval Model. International Journal of Applied Earth Observation and Geoinformation, 45, 125–134. http://doi.org/10.1016/j.jag.2015.08.005

Schellenberger, T., Van Wychen, W., Copland, L., Kääb, A., & Gray, L. (2016). An Inter-Comparison of Techniques for Determining Velocities of Maritime Arctic Glaciers, Svalbard, Using Radarsat-2 Wide Fine Mode Data. Remote Sensing, 8(9), 785. http://doi.org/10.3390/rs8090785

Schwegmann, S., Rinne, E., Ricker, R., Hendricks, S., & Helm, V. (2016). About the consistency between Envisat and CryoSat-2 radar freeboard retrieval over Antarctic sea ice. Cryosphere, 10(4), 1415–1425. http://doi.org/10.5194/tc-10-1415-2016

Shutler, J. D., Quartly, G. D., Donlon, C. J., Sathyendranath, S., Platt, T., Chapron, B., … Høyer, J. L. (2016). Progress in satellite remote sensing for studying physical processes at the ocean surface and its borders with the atmosphere and sea-ice.

Smyth, T., Quartly, G., Jackson, T., Tarran, G., Woodward, M., Harris, C., … Rees, A. (2016). Determining Atlantic Ocean province contrasts and variations. Progress in Oceanography. http://doi.org/10.1016/j.pocean.2016.12.004

Srivastava, P. K., Petropoulos, G. P., & Kerr, Y. H. (2016). Satellite soil moisture retrieval : techniques and applications. (Prashant Srivastava George Petropoulos Y.H. Kerr, Ed.). Elsevier. Retrieved from https://www.elsevier.com/books/satellite-soil-moisture-retrieval/srivast...

Staneva, J., Wahle, K., Koch, W., Behrens, A., Fenoglio-Marc, L., & Stanev, E. V. (2016). Coastal flooding: impact of waves on storm surge during extremes. A case study for the German Bight. Natural Hazards and Earth System Sciences Discussions, 16(July), 1–37. http://doi.org/10.5194/nhess-2016-227

Su, C. H., Ryu, D., Dorigo, W., Zwieback, S., Gruber, A., Albergel, C., … Wagner, W. (2016). Homogeneity of a global multisatellite soil moisture climate data record. Geophysical Research Letters, 43(21), 11,245-11,252. http://doi.org/10.1002/2016GL070458

Treichler, D., & Kääb, A. (2016). ICESat laser altimetry over small mountain glaciers. The Cryosphere, 10(5), 2129–2146. http://doi.org/10.5194/tc-10-2129-2016

Turner, A. J., Jacob, D. J., Benmergui, J., Wofsy, S. C., Maasakkers, J. D., Butz, A., … Biraud, S. C. (2016). A large increase in U.S. methane emissions over the past decade inferred from satellite data and surface observations. Geophysical Research Letters, 43(5), 2218–2224. http://doi.org/10.1002/2016GL067987

Vanhellemont, F., Mateshvili, N., Blanot, L., Robert, C. É., Bingen, C., Sofieva, V., … Zehner, C. (2016). AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 1: Algorithm description. Atmospheric Measurement Techniques, 9(9), 4687–4700. http://doi.org/10.5194/amt-9-4687-2016

von Schuckmann, K., Palmer, M. D., Trenberth, K. E., Cazenave, A., Chambers, D., Champollion, N., … Wild, M. (2016). An imperative to monitor Earth’s energy imbalance. Nature Climate Change, 6(2), 138–144. http://doi.org/10.1038/nclimate2876

Warren, M. A., Quartly, G. D., Shutler, J. D., Miller, P. I., & Yoshikawa, Y. (2016). Estimation of ocean surface currents from maximum cross correlation applied to GOCI geostationary satellite remote sensing data over the Tsushima (Korea) Straits. Journal of Geophysical Research: Oceans, 121(9), 6993–7009. http://doi.org/10.1002/2016JC011814

Webb, A. J., Bösch, H., Parker, R. J., Gatti, L. V, Gloor, E., Palmer, P. I., … Wilson, C. (2016). CH 4 concentrations over the Amazon from GOSAT consistent with in situ vertical profile data. Journal of Geophysical Research: Atmospheres, 121(18), 11006–11020. http://doi.org/10.1002/2016JD025263

Wespes, C., Hurtmans, D., Emmons, L. K., Safieddine, S., Clerbaux, C., Edwards, D. P., & Coheur, P.-F. (2016). Ozone variability in the troposphere and the stratosphere from the first 6 years of IASI observations (2008–2013). Atmospheric Chemistry and Physics, 16(9), 5721–5743. http://doi.org/10.5194/acp-16-5721-2016

Winsvold, S. H., Kaab, A., & Nuth, C. (2016). Regional Glacier Mapping Using Optical Satellite Data Time Series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP(99), 1–14. http://doi.org/10.1109/JSTARS.2016.2527063

Yue, C., Ciais, P., Zhu, D., Wang, T., Peng, S. S., & Piao, S. L. (2016). How have past fire disturbances contributed to the current carbon balance of boreal ecosystems? Biogeosciences, 13(3), 675–690. http://doi.org/10.5194/bg-13-675-2016

Zawadzki, L., & Ablain, M. (2016). Accuracy of the mean sea level continuous record with future altimetric missions: Jason-3 vs. Sentinel-3a. Ocean Science, 12(1), 9–18. http://doi.org/10.5194/os-12-9-2016

Zhou, M., Dils, B., Wang, P., Detmers, R., Yoshida, Y., O'Dell, C. W., … De Mazière, M. (2016). Validation of TANSO-FTS/GOSAT XCO2 and XCH4 glint mode retrievals using TCCON data from near-ocean sites. Atmospheric Measurement Techniques, 9(3), 1415–1430. http://doi.org/10.5194/amt-9-1415-2016

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2015

Ablain, M., Cazenave, A., Larnicol, G., Balmaseda, M., Cipollini, P., Faugère, Y., … Benveniste, J. (2015). Improved sea level record over the satellite altimetry era (1993–2010) from the Climate Change Initiative project. Ocean Science, 11(1), 67–82. http://doi.org/10.5194/os-11-67-2015

Alexe, M., Bergamaschi, P., Segers, A., Detmers, R., Butz, A., Hasekamp, O., … Kort, E. A. (2015). Inverse modelling of CH4emissions for 2010–2011 using different satellite retrieval products from GOSAT and SCIAMACHY. Atmospheric Chemistry and Physics, 15(1), 113–133. http://doi.org/10.5194/acp-15-113-2015

Allison, I., Colgan, W., King M., P. F. (2015). Ice sheets, glaciers and sea level. In W. Haeberli & C. Whiteman (Eds.), Snow and Ice-Related Hazards, Risks, and Disasters (1st ed., pp. 714–748). Amsterdam, Netherlands: Elsevier. Retrieved from http://store.elsevier.com/Snow-and-Ice-Related-Hazards-Risks-and-Disaste...

Alonso-Canas, I., & Chuvieco, E. (2015). Global burned area mapping from ENVISAT-MERIS and MODIS active fire data. Remote Sensing of Environment, 163, 140–152. http://doi.org/10.1016/j.rse.2015.03.011

André, C., Ottlé, C., Royer, A., & Maignan, F. (2015). Land surface temperature retrieval over circumpolar Arctic using SSM/I–SSMIS and MODIS data. Remote Sensing of Environment, 162, 1–10. http://doi.org/10.1016/j.rse.2015.01.028

Bellprat, O., Macias-Gómez, D., Prodhomme, C., Guemas, V., & Doblas-Reyes, F. (2015). SEASONAL PREDICTION WITH EC-EARTH 3: IMPACT OF RESOLUTION AND INIITALISATION OF SEA ICE AND LAND SURFACE Seasonal prediction with EC-Earth 3: Resolution and Initialisation of land surface and sea ice Series : CFU Technical Memoranda ® Copyright 2011. Retrieved from https://earth.bsc.es/wiki/lib/exe/fetch.php?media=library:external:cfu_t...

Bolch. (2015). Glacier area and mass changes since 1964 in the Ala Archa Valley, Kyrgyz Ala-Too, northern Tien Shan, 129(1), 28–39. Retrieved from http://www.researchgate.net/publication/274887171_Glacier_area_and_mass_...

Brewin, R., Raitsos, D., Dall’Olmo, G., Zarokanellos, N., Jackson, T., Racault, M.-F., … Hoteit, I. (2015, August 1). Regional ocean-colour chlorophyll algorithms for the Red Sea. Remote Sensing of Environment. Elsevier. Retrieved from http://plymsea.ac.uk/6387/

Brewin, R., Sathyendranath, S., Jackson, T., Barlow, R., Brotas, V., Airs, R., & Lamont, T. (2015, October 1). Influence of light in the mixed-layer on the parameters of a three-component model of phytoplankton size class. Remote Sensing of Environment. http://doi.org/10.1016/j.rse.2015.07.004 <http://dx.doi.org/10.1016/j.rse.2015.07.004>

Carbajal Henken, C. K., Doppler, L., Lindstrot, R., Preusker, R., & Fischer, J. (2015). Exploiting the sensitivity of two satellite cloud height retrievals to cloud vertical distribution. Atmospheric Measurement Techniques, 8(8), 2623–2655. http://doi.org/10.5194/amt-8-3419-2015

Coldewey-Egbers, M., Loyola, D. G., Koukouli, M., Balis, D., Lambert, J.-C., Verhoelst, T., … Zehner, C. (2015). The GOME-type Total Ozone Essential Climate Variable (GTO-ECV) data record from the ESA Climate Change Initiative. Atmospheric Measurement Techniques, 8(9), 3923–3940. http://doi.org/10.5194/amt-8-3923-2015

Couhert, A., Cerri, L., Legeais, J.-F., Ablain, M., Zelensky, N. P., Haines, B. J., … Otten, M. (2015). Towards the 1mm/y stability of the radial orbit error at regional scales. Advances in Space Research, 55(1), 2–23. http://doi.org/10.1016/j.asr.2014.06.041

d’Ovidio, F., Della Penna, A., Trull, T. W., Nencioli, F., Pujol, M.-I., Rio, M.-H., … Blain, S. (2015). The biogeochemical structuring role of horizontal stirring: Lagrangian perspectives on iron delivery downstream of the Kerguelen Plateau. Biogeosciences, 12(19), 5567–5581. http://doi.org/10.5194/bg-12-5567-2015

de Leeuw, G., Holzer-Popp, T., Bevan, S., Davies, W. H., Descloitres, J., Grainger, R. G., … Pinnock, S. (2015). Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis. Remote Sensing of Environment, 162, 295–315. http://doi.org/10.1016/j.rse.2013.04.023

de Nijs, A. H. A., Parinussa, R. M., de Jeu, R. A. M., Schellekens, J., & Holmes, T. R. H. (2015). A Methodology to Determine Radio-Frequency Interference in AMSR2 Observations. IEEE Transactions on Geoscience and Remote Sensing, 53(9), 5148–5159. http://doi.org/10.1109/TGRS.2015.2417653

Detmers, R. G., Hasekamp, O., Aben, I., Houweling, S., van Leeuwen, T. T., Butz, A., … Poulter, B. (2015). Anomalous carbon uptake in Australia as seen by GOSAT. Geophysical Research Letters, 42(19), 8177–8184. http://doi.org/10.1002/2015GL065161

Dieng, H. B., Cazenave, A., von Schuckmann, K., Ablain, M., & Meyssignac, B. (2015). Sea level budget over 2005–2013: missing contributions and data errors. Ocean Science, 11(5), 789–802. http://doi.org/10.5194/os-11-789-2015

Dieng, H. B., Palanisamy, H., Cazenave, A., Meyssignac, B., & von Schuckmann, K. (2015). The Sea Level Budget Since 2003: Inference on the Deep Ocean Heat Content. Surveys in Geophysics, 36(2), 209–229. http://doi.org/10.1007/s10712-015-9314-6

Esselborn, S., Schöne, T., & Rudenko, S. (2015). Impact of Time Variable Gravity on Annual Sea Level Variability from Altimetry, 1–8. http://doi.org/10.1007/1345_2015_103

Eyring, V., Righi, M., Evaldsson, M., Lauer, A., Wenzel, S., Jones, C., … Williams, K. D. (2015). ESMValTool (v1.0) – a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP. Geoscientific Model Development Discussions, 8(9), 7541–7661. http://doi.org/10.5194/gmdd-8-7541-2015

Famiglietti, J. S., Cazenave, A., Eicker, A., Reager, J. T., Rodell, M., Velicogna, I., … Wood, E. F. (2015). Satellites provide the big picture. Science (New York, N.Y.), 349(6249), 684–5. http://doi.org/10.1126/science.aac9238

Feng, L., Palmer, P. I., Parker, R. J., Deutscher, N. M., Feist, D. G., Kivi, R., … Sussmann, R. (2015). Elevated uptake of CO2over Europe inferred from GOSAT XCO2 retrievals: a real phenomenon or an artefact of the analysis? Atmospheric Chemistry and Physics Discussions, 15(2), 1989–2011. http://doi.org/10.5194/acpd-15-1989-2015

Fenoglio-Marc, L., Dinardo, S., Scharroo, R., Roland, A., Dutour Sikiric, M., Lucas, B., … Weiss, R. (2015). The German Bight: A validation of CryoSat-2 altimeter data in SAR mode. Advances in Space Research, 55(11), 2641–2656. http://doi.org/10.1016/j.asr.2015.02.014

Fenoglio-Marc, L., Scharroo, R., Annunziato, A., Mendoza, L., Becker, M., & Lillibridge, J. (2015). Cyclone Xaver seen by geodetic observations. Geophysical Research Letters, 42(22), 9925–9932. http://doi.org/10.1002/2015GL065989

Feofilov, A. G., Stubenrauch, C. J., & Delanoë, J. (2015). Ice water content vertical profiles of high-level clouds: classification and impact on radiative fluxes. Atmospheric Chemistry and Physics, 15(21), 12327–12344. http://doi.org/10.5194/acp-15-12327-2015

Fernandes, M. J., Lázaro, C., Ablain, M., & Pires, N. (2015). Improved wet path delays for all ESA and reference altimetric missions. Remote Sensing of Environment, 169, 50–74. http://doi.org/10.1016/j.rse.2015.07.023

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de Jeu, R. A. M., Holmes, T. R. H., Parinussa, R. M., & Owe, M. (2014). A spatially coherent global soil moisture product with improved temporal resolution. Journal of Hydrology. http://doi.org/10.1016/j.jhydrol.2014.02.015

Dils, B., Buchwitz, M., Reuter, M., Schneising, O., Boesch, H., Parker, R., … Wunch, D. (2014). The Greenhouse Gas Climate Change Initiative (GHG-CCI): comparative validation of GHG-CCI SCIAMACHY/ENVISAT and TANSO-FTS/GOSAT CO2 and CH4 retrieval algorithm products with measurements from the TCCON. Atmospheric Measurement Techniques, 7(6), 1723–1744. http://doi.org/10.5194/amt-7-1723-2014

Diodato, N., Brocca, L., Bellocchi, G., Fiorillo, F., & Guadagno, F. M. (2014). Complexity-reduction modelling for assessing the macro-scale patterns of historical soil moisture in the Euro-Mediterranean region. Hydrological Processes, 28(11), 3752–3760. http://doi.org/10.1002/hyp.9925

Dorigo, W., Chung, D., Parinussa, R.M., Reimer, C., Hahn, S., Liu, Y.Y., Wagner, W., De Jeu, R.A.M., Paulik, C., Wang, G. (2014). Soil Moisture in: “State of the Climate in 2013.” Bull. Amer. Meteor, 95(7), S25–S26. Retrieved from http://journals.ametsoc.org/doi/pdf/10.1175/2014BAMSStateoftheClimate.1

Dorigo, W. A., Gruber, A., De Jeu, R. A. M., Wagner, W., Stacke, T., Loew, A., … Kidd, R. (2014). Evaluation of the ESA CCI soil moisture product using ground-based observations. Remote Sensing of Environment. http://doi.org/10.1016/j.rse.2014.07.023

Ebojie, F., von Savigny, C., Ladstätter-Weißenmayer, A., Rozanov, A., Weber, M., Eichmann, K.-U., … Burrows, J. P. (2014). Tropospheric column amount of ozone retrieved from SCIAMACHY limb–nadir-matching observations. Atmospheric Measurement Techniques, 7(7), 2073–2096. http://doi.org/10.5194/amt-7-2073-2014

Eckert, E., von Clarmann, T., Kiefer, M., Stiller, G. P., Lossow, S., Glatthor, N., … Bernath, P. F. (2014). Drift-corrected trends and periodic variations in MIPAS IMK/IAA ozone measurements. Atmospheric Chemistry and Physics, 14(5), 2571–2589. http://doi.org/10.5194/acp-14-2571-2014

Feng, X., Tsimplis, M. N., Quartly, G. D., & Yelland, M. J. (2014). Wave height analysis from 10 years of observations in the Norwegian Sea. Continental Shelf Research, 72, 47–56. http://doi.org/10.1016/j.csr.2013.10.013

Feng, X., Tsimplis, M. N., Yelland, M. J., & Quartly, G. D. (2014). Changes in significant and maximum wave heights in the Norwegian Sea. Global and Planetary Change, 113, 68–76. http://doi.org/10.1016/j.gloplacha.2013.12.010

Fraser, A., Palmer, P. I., Feng, L., Bösch, H., Parker, R., Dlugokencky, E. J., … Langenfelds, R. L. (2014). Estimating regional fluxes of CO2 and CH4 using space-borne observations of XCH4 : XCO2. Atmospheric Chemistry and Physics, 14, 12883–12895. http://doi.org/10.5194/acp-14-12883-2014

Frey, H., Machguth, H., Huss, M., Huggel, C., Bajracharya, S., Bolch, T., … Stoffel, M. (2014). Estimating the volume of glaciers in the Himalayan–Karakoram region using different methods. The Cryosphere, 8(6), 2313–2333. http://doi.org/10.5194/tc-8-2313-2014

Gebhardt, C., Rozanov, A., Hommel, R., Weber, M., Bovensmann, H., Burrows, J. P., … Thompson, A. M. (2014). Stratospheric ozone trends and variability as seen by SCIAMACHY from 2002 to 2012. Atmospheric Chemistry and Physics, 14(2), 831–846. http://doi.org/10.5194/acp-14-831-2014

Hirschi, M., Mueller, B., Dorigo, W., & Seneviratne, S. I. (2014). Using remotely sensed soil moisture for land–atmosphere coupling diagnostics: The role of surface vs. root-zone soil moisture variability. Remote Sensing of Environment, 154, 246–252. http://doi.org/10.1016/j.rse.2014.08.030

Holmes, T. R. H., Crow, W. T., & de Jeu, R. A. M. (2014). Leveraging Microwave Polarization Information for the Calibration of a Land Data Assimilation System. Geophysical Research Letters, n/a-n/a. http://doi.org/10.1002/2014GL061991

Johannessen, J. A., Raj, R. P., Nilsen, J. E. Ø., Pripp, T., Knudsen, P., Counillon, F., … Koldunov, N. (2014). Toward Improved Estimation of the Dynamic Topography and Ocean Circulation in the High Latitude and Arctic Ocean: The Importance of GOCE. Surveys in Geophysics, 35(3), 661–679. http://doi.org/10.1007/s10712-013-9270-y

Kargel, J.S., Leonard, G.J., Bishop, M.P., Kääb, A., Raup, B. H. (Eds. . (2014). Global Land Ice Measurements from Space. (B. H. (Eds. . Kargel, J.S., Leonard, G.J., Bishop, M.P., Kääb, A., Raup, Ed.). Springer Praxis Books. Retrieved from http://www.springer.com/new+&+forthcoming+titles+(default)/book/978-3-540-79817-0

Karlsson, K.-G., & Johansson, E. (2014). Multi-Sensor Calibration Studies of AVHRR-Heritage Channel Radiances Using the Simultaneous Nadir Observation Approach. Remote Sensing, 6(3), 1845–1862. http://doi.org/10.3390/rs6031845

Laeng, A., Grabowski, U., von Clarmann, T., Stiller, G., Glatthor, N., Höpfner, M., … Zawodny, J. (2014). Validation of MIPAS IMK/IAA V5R_O3_224 ozone profiles. Atmospheric Measurement Techniques, 7(11), 3971–3987. http://doi.org/10.5194/amt-7-3971-2014

Lahoz, W. A., & Schneider, P. (2014). Data assimilation: making sense of Earth Observation. Frontiers in Environmental Science, 2. http://doi.org/10.3389/fenvs.2014.00016

Legeais, J.-F., Ablain, M., & Thao, S. (2014). Evaluation of wet troposphere path delays from atmospheric reanalyses and radiometers and their impact on the altimeter sea level. Ocean Science, 10(6), 893–905. http://doi.org/10.5194/os-10-893-2014

MacCallum, S. N., Merchant, C. J., Corlett, G. K., Embury, O., Petrenko, B., Cox, C., & Donlon, C. (2014). The Sea Surface Temperature Climate Change Initiative: Protocol and Outcome for Selecting Sea Surface Temperature Retrieval Methods. Remote Sensing of Environment.

Marzeion, B., Cogley, J. G., Richter, K., & Parkes, D. (2014). Attribution of global glacier mass loss to anthropogenic and natural causes. Science, 345(6199), 919–921. http://doi.org/10.1126/science.1254702

Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., … Donlon, C. (2014). Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal, 1(2), 179–191. http://doi.org/10.1002/gdj3.20

Mouillot, F., Schultz, M. G., Yue, C., Cadule, P., Tansey, K., Ciais, P., & Chuvieco, E. (2014). Ten years of global burned area products from spaceborne remote sensing—A review: Analysis of user needs and recommendations for future developments. International Journal of Applied Earth Observation and Geoinformation, 26, 64–79. Retrieved from http://www.sciencedirect.com/science/article/pii/S0303243413000639

Neckel, N., Kropáček, J., Bolch, T., & Hochschild, V. (2014). Glacier mass changes on the Tibetan Plateau 2003–2009 derived from ICESat laser altimetry measurements. Environmental Research Letters, 9(1), 014009. http://doi.org/10.1088/1748-9326/9/1/014009

Padilla, M., Stehman, S. V., Warrens, M. J., Alonso-Canas, I., Corti, D., Hantson, S., … Chuvieco, E, M. J. (2014). Comparing the Accuracy of Global Burned Area Products: Statistical Methods and Illustrative Results. Remote Sensing of Environment.

Padilla, M., Stehman, S. V., & Chuvieco, E. (2014). Validation of the 2008 MODIS-MCD45 global burned area product using stratified random sampling. Remote Sensing of Environment, 144, 187–196. http://doi.org/10.1016/j.rse.2014.01.008

Padilla, M., Stehman, S., Litago, J., & Chuvieco, E. (2014). Assessing the Temporal Stability of the Accuracy of a Time Series of Burned Area Products. Remote Sensing, 6(3), 2050–2068. http://doi.org/10.3390/rs6032050

Palanisamy, H., Cazenave, A., Meyssignac, B., Soudarin, L., Wöppelmann, G., & Becker, M. (2014). Regional sea level variability, total relative sea level rise and its impacts on islands and coastal zones of Indian Ocean over the last sixty years. Global and Planetary Change, 116, 54–67. http://doi.org/10.1016/j.gloplacha.2014.02.001

Parinussa, R. M., Wang, G., Holmes, T. R. H., Liu, Y. Y., Dolman, A. J., de Jeu, R. A. M., … Shi, J. (2014). Global surface soil moisture from the Microwave Radiation Imager onboard the Fengyun-3B satellite. International Journal of Remote Sensing, 35(19), 7007–7029. http://doi.org/10.1080/01431161.2014.960622

Parinussa, R. M., Holmes, T. R. H., Wanders, N., Dorigo, W. A., & de Jeu, R. A. M. (2014). A Preliminary Study Towards Consistent Soil Moisture from AMSR2. Journal of Hydrometeorology, 141201123810004. http://doi.org/10.1175/JHM-D-13-0200.1

Passaro, M., Cipollini, P., Vignudelli, S., Quartly, G. D., & Snaith, H. M. (2014). ALES: A multi-mission adaptive subwaveform retracker for coastal and open ocean altimetry. Remote Sensing of Environment, 145, 173–189. http://doi.org/10.1016/j.rse.2014.02.008

Paul, F., & Mölg, N. (2014). Hasty retreat of glaciers in northern Patagonia from 1985 to 2011. Journal of Glaciology. Retrieved from http://www.zora.uzh.ch/101919/1/2014 PaulF_j14j104 .pdf

Pellicciotti, F., Stephan, C., Miles, E., Herreid, S., Immerzeel, W., & Bolch, T. (2014). Mass-balance changes of the debris-covered glaciers in the Langtang Himal, Nepal, between 1974 and 1999. http://doi.org/10.3189/2015JoG13J237

Pfeffer, W., Arendt, A., Bliss, A., & Bolch, T. (2014). The Randolph Glacier Inventory: a globally complete inventory of glaciers. Journal of Glaciology, 60, 537–552. http://doi.org/10.3189/2014JoG13J176

Quartly, G. D. (2014). Metocean Comparisons of Jason-2 and AltiKa—A Method to Develop a New Wind Speed Algorithm. Marine Geodesy. Retrieved from http://www.tandfonline.com/doi/abs/10.1080/01490419.2014.988834

Quartly, G. D., & Passaro, M. (2014). Initial Examination of AltiKa’s Individual Echoes. Marine Geodesy, 38(sup1), 73–85. http://doi.org/10.1080/01490419.2014.984882

Reuter, M., Buchwitz, M., Hilboll, A., Richter, A., Schneising, O., Hilker, M., … Burrows, J. P. (2014). Decreasing emissions of NOx relative to CO2 in East Asia inferred from satellite observations. Nature Geoscience, advance on(11), 792–795. http://doi.org/10.1038/ngeo2257

Reuter, M., Buchwitz, M., Hilker, M., Heymann, J., Schneising, O., Pillai, D., … Sawa, Y. (2014). Satellite-inferred European carbon sink larger than expected. Atmospheric Chemistry and Physics, 14(24), 13739–13753. http://doi.org/10.5194/acp-14-13739-2014

Rudenko, S., Dettmering, D., Esselborn, S., Schöne, T., Förste, C., Lemoine, J.-M., … Neumayer, K.-H. (2014). Influence of time variable geopotential models on precise orbits of altimetry satellites, global and regional mean sea level trends. Advances in Space Research, 54(1), 92–118. http://doi.org/10.1016/j.asr.2014.03.010

Saux Picart, S., Sathyendranath, S., Dowell, M., Moore, T., & Platt, T. (2014). Remote sensing of assimilation number for marine phytoplankton. Remote Sensing of Environment, 146, 87–96. http://doi.org/10.1016/j.rse.2013.10.032

Schneising, O., Reuter, M., Buchwitz, M., Heymann, J., Bovensmann, H., & Burrows, J. P. (2014). Terrestrial carbon sink observed from space: variation of growth rates and seasonal cycle amplitudes in response to interannual surface temperature variability. Atmospheric Chemistry and Physics, 14, 133–141. http://doi.org/10.5194/acp-14-133-2014

Schneising, O., Burrows, J. P., Dickerson, R. R., Buchwitz, M., Reuter, M., & Bovensmann, H. (2014). Remote sensing of fugitive methane emissions from oil and gas production in North American tight geologic formations. Earth’s Future, 2(10), 548–558. http://doi.org/10.1002/2014EF000265

Sevault, F., Somot, S., Alias, A., Dubois, C., Lebeaupin-Brossier, C., Nabat, P., … Decharme, B. (2014). A fully coupled Mediterranean regional climate system model: design and evaluation of the ocean component for the 1980–2012 period. Tellus A: Dynamic Meteorology and Oceanography, 66(1), 23967. http://doi.org/10.3402/tellusa.v66.23967

Sioris, C. E., McLinden, C. A., Fioletov, V. E., Adams, C., Zawodny, J. M., Bourassa, A. E., … Degenstein, D. A. (2014). Trend and variability in ozone in the tropical lower stratosphere over 2.5 solar cycles observed by SAGE II and OSIRIS. Atmospheric Chemistry and Physics, 14(7), 3479–3496. http://doi.org/10.5194/acp-14-3479-2014

Sofieva, V. F., Tamminen, J., Kyrölä, E., Mielonen, T., Veefkind, P., Hassler, B., & Bodeker, G. E. (2014). A novel tropopause-related climatology of ozone profiles. Atmospheric Chemistry and Physics, 14(1), 283–299. http://doi.org/10.5194/acp-14-283-2014

Stengel, M., Mieruch, S., Jerg, M., Karlsson, K.-G., Scheirer, R., Maddux, B., … Hollmann, R. (2014). The Clouds Climate Change Initiative: The assessment of state of the art cloud property retrieval systems applied to AVHRR heritage measurements. Remote Sensing of Environment.

Szczypta, C., Calvet, J.-C., Maignan, F., Dorigo, W., Baret, F., & Ciais, P. (2014). Suitability of modelled and remotely sensed essential climate variables for monitoring Euro-Mediterranean droughts. Geoscientific Model Development, 7(3), 931–946. http://doi.org/10.5194/gmd-7-931-2014

Tramblay, Y., Amoussou, E., Dorigo, W., & Mahé, G. (2014). Flood risk under future climate in data sparse regions: Linking extreme value models and flood generating processes. Journal of Hydrology, 519, 549–558. http://doi.org/10.1016/j.jhydrol.2014.07.052

Valks, P., Hao, N., Gimeno Garcia, S., Loyola, D., Dameris, M., Jöckel, P., & Delcloo, A. (2014). Tropical tropospheric ozone column retrieval for GOME-2. Atmospheric Measurement Techniques, 7(8), 2513–2530. http://doi.org/10.5194/amt-7-2513-2014

van Peet, J. C. A., van der A, R. J., Tuinder, O. N. E., Wolfram, E., Salvador, J., Levelt, P. F., & Kelder, H. M. (2014). Ozone ProfilE Retrieval Algorithm (OPERA) for nadir-looking satellite instruments in the UV–VIS. Atmospheric Measurement Techniques, 7(3), 859–876. http://doi.org/10.5194/amt-7-859-2014

Wecht, K. J., Jacob, D. J., Sulprizio, M. P., Santoni, G. W., Wofsy, S. C., Parker, R., … Worden, J. (2014). Spatially resolving methane emissions in California: constraints from the CalNex aircraft campaign and from present (GOSAT, TES) and future (TROPOMI, geostationary) satellite observations. Atmospheric Chemistry and Physics, 14, 8173–8184. http://doi.org/10.5194/acp-14-8173-2014

Yue, C., Ciais, P., Cadule, P., Thonicke, K., Archibald, S., Poulter, B., … Viovy, N. (2014). Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 1: simulating historical global burned area and fire regimes. Geoscientific Model Development, 7(6), 2747–2767. http://doi.org/10.5194/gmd-7-2747-2014

Zygmuntowska, M., Rampal, P., Ivanova, N., & Smedsrud, L. H. (2014). Uncertainties in Arctic sea ice thickness and volume: new estimates and implications for trends. The Cryosphere, 8(2), 705–720. http://doi.org/10.5194/tc-8-705-2014

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2013

Adams, C., Bourassa, A. E., Bathgate, A. F., McLinden, C. A., Lloyd, N. D., Roth, C. Z., … Degenstein, D. A. (2013). Characterization of Odin-OSIRIS ozone profiles with the SAGE II dataset. Atmospheric Measurement Techniques, 6(5), 1447–1459. http://doi.org/10.5194/amt-6-1447-2013

Albergel, C., Dorigo, W., Balsamo, G., Muñoz-Sabater, J., de Rosnay, P., Isaksen, L., … Wagner, W. (2013). Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses. Remote Sensing of Environment, 138, 77–89. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713002216

Albergel, C., Dorigo, W., Reichle, R. H., Balsamo, G., de Rosnay, P., Muñoz-Sabater, J., … Wagner, W. (2013). Skill and Global Trend Analysis of Soil Moisture from Reanalyses and Microwave Remote Sensing. Journal of Hydrometeorology, 14(4), 1259–1277. http://doi.org/10.1175/JHM-D-12-0161.1

Basu, S., Guerlet, S., Butz, A., Houweling, S., Hasekamp, O., Aben, I., … Worthy, D. (2013). Global CO2 fluxes estimated from GOSAT retrievals of total column CO2. Atmospheric Chemistry and Physics, 13(17), 8695–8717. http://doi.org/10.5194/acp-13-8695-2013

Bauer-Marschallinger, B., Dorigo, W. A., Wagner, W., & van Dijk, A. I. J. M. (2013). How Oceanic Oscillation Drives Soil Moisture Variations over Mainland Australia: An Analysis of 32 Years of Satellite Observations. Journal of Climate, 130730135426008. http://doi.org/10.1175/JCLI-D-13-00149.1

Bhambri, R., Bolch, T., Kawishwar, P., Dobhal, D. P., Srivastava, D., & Pratap, B. (2013). Heterogeneity in glacier response in the upper Shyok valley, northeast Karakoram. The Cryosphere, 7(5), 1385–1398. http://doi.org/10.5194/tc-7-1385-2013

Bolch, T., Sandberg Sørensen, L., Simonsen, S. B., Mölg, N., Machguth, H., Rastner, P., & Paul, F. (2013). Mass loss of Greenland’s glaciers and ice caps 2003-2008 revealed from ICESat laser altimetry data. Geophysical Research Letters, 40(5), 875–881. http://doi.org/10.1002/grl.50270

Brewin, R. J. W., Raitsos, D. E., Pradhan, Y., & Hoteit, I. (2013). Comparison of chlorophyll in the Red Sea derived from MODIS-Aqua and in vivo fluorescence. Remote Sensing of Environment, 136, 218–224. Retrieved from http://www.sciencedirect.com/science/article/pii/S003442571300151X

Brewin, R. J. W., Sathyendranath, S., Müller, D., Brockmann, C., Deschamps, P.-Y., Devred, E., … White, G. N. (2013). The Ocean Colour Climate Change Initiative: III. A round-robin comparison on in-water bio-optical algorithms. Remote Sensing of Environment. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713003519

Brotas, V., Brewin, R. J. W., Sá, C., Brito, A. C., Silva, A., Mendes, C. R., … Sathyendranath, S. (2013). Deriving phytoplankton size classes from satellite data: Validation along a trophic gradient in the eastern Atlantic Ocean. Remote Sensing of Environment, 134, 66–77. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713000540

Buchwitz, M., Reuter, M., Schneising, O., Boesch, H., Guerlet, S., Dils, B., … Yoshida, Y. (2013). The Greenhouse Gas Climate Change Initiative (GHG-CCI): Comparison and quality assessment of near-surface-sensitive satellite-derived CO2 and CH4 global data sets. Remote Sensing of Environment. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713003520

Chevallier, F., & O’Dell, C. W. (2013). Error statistics of Bayesian CO 2 flux inversion schemes as seen from GOSAT. Geophysical Research Letters, 40(6), 1252–1256. http://doi.org/10.1002/grl.50228

Crevoisier, C., Nobileau, D., Armante, R., Crépeau, L., Machida, T., Sawa, Y., … Chédin, A. (2013). The 2007–2011 evolution of tropical methane in the mid-troposphere as seen from space by MetOp-A/IASI. Atmospheric Chemistry and Physics, 13(8), 4279–4289. http://doi.org/10.5194/acp-13-4279-2013

Dameris, M., & Jöckel, P. (2013). Numerical Modeling of Climate-Chemistry Connections: Recent Developments and Future Challenges. Atmosphere, 4(2), 132–156. http://doi.org/10.3390/atmos4020132

De Jeu, R. M. (2013). Global Climate, Hydrological Cycle Soil Mositure in “State of the Climate in 2012.” Bull. Amer. Meteor, 94(8), S121–S123.

Fraser, A., Palmer, P. I., Feng, L., Boesch, H., Cogan, A., Parker, R., … Weiss, R. F. (2013). Estimating regional methane surface fluxes: the relative importance of surface and GOSAT mole fraction measurements. Atmospheric Chemistry and Physics, 13(11), 5697–5713. http://doi.org/10.5194/acp-13-5697-2013

Gamba, P., & Lisini, G. (2013). Fast and Efficient Urban Extent Extraction Using ASAR Wide Swath Mode Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(5), 2184–2195. http://doi.org/10.1109/JSTARS.2012.2235410

Gardelle, J., Berthier, E., Arnaud, Y., & Kääb, A. (2013). Region-wide glacier mass balances over the Pamir-Karakoram-Himalaya during 1999–2011. The Cryosphere, 7(4), 1263–1286. http://doi.org/10.5194/tc-7-1263-2013

Gardner, A. S., Moholdt, G., Cogley, J. G., Wouters, B., Arendt, A. A., Wahr, J., … Paul, F. (2013). A reconciled estimate of glacier contributions to sea level rise: 2003 to 2009. Science (New York, N.Y.), 340(6134), 852–7. http://doi.org/10.1126/science.1234532

Griesfeller, Alexandra, Lahoz, William A., Svendby, Tove M., Haugen, Lars E., Wagner, Wolfgang, Dorigo, Wouter, … de Jeu, Richard A. M. (2013). Evaluation of SMOS and ASCAT soil moisture products over Norway using ground-based in situ observations. EGU General Assembly 2013. Retrieved from http://adsabs.harvard.edu/abs/2013EGUGA..15.3897G

Guerlet, S., Basu, S., Butz, A., Krol, M., Hahne, P., Houweling, S., … Aben, I. (2013). Reduced carbon uptake during the 2010 Northern Hemisphere summer from GOSAT. Geophysical Research Letters, 40(10), 2378–2383. http://doi.org/10.1002/grl.50402

Guerlet, S., Butz, A., Schepers, D., Basu, S., Hasekamp, O. P., Kuze, A., … Aben, I. (2013). Impact of aerosol and thin cirrus on retrieving and validating XCO 2 from GOSAT shortwave infrared measurements. Journal of Geophysical Research: Atmospheres, 118(10), 4887–4905. http://doi.org/10.1002/jgrd.50332

Hantson, S., Padilla, M., Corti, D., & Chuvieco, E. (2013). Strengths and weaknesses of MODIS hotspots to characterize global fire occurrence. Remote Sensing of Environment, 131, 152–159. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425712004610

Henry, O., Ablain, M., Meyssignac, B., Cazenave, A., Masters, D., Nerem, S., & Garric, G. (2013). Effect of the processing methodology on satellite altimetry-based global mean sea level rise over the Jason-1 operating period. Journal of Geodesy, 88(4), 351–361. http://doi.org/10.1007/s00190-013-0687-3

Hollmann, R., Merchant, C. J., Saunders, R., Downy, C., Buchwitz, M., Cazenave, A., … Wagner, W. (2013). The ESA Climate Change Initiative: satellite data records for essential climate variables. Bulletin of the American Meteorological Society, 130313072241002. http://doi.org/10.1175/BAMS-D-11-00254.1

Holzer-Popp, T., de Leeuw, G., Griesfeller, J., Martynenko, D., Klüser, L., Bevan, S., … Pinnock, S. (2013). Aerosol retrieval experiments in the ESA Aerosol_cci project. Atmospheric Measurement Techniques, 6(8), 1919–1957. http://doi.org/10.5194/amt-6-1919-2013

Kolmonen, P., Sundström, A.-M., Sogacheva, L., Rodriguez, E., Virtanen, T., & de Leeuw, G. (2013). Uncertainty characterization of AOD for the AATSR dual and single view retrieval algorithms. Atmospheric Measurement Techniques Discussions, 6(2), 4039–4075. http://doi.org/10.5194/amtd-6-4039-2013

Kyrölä, E., Laine, M., Sofieva, V., Tamminen, J., Päivärinta, S.-M., Tukiainen, S., … Thomason, L. (2013). Combined SAGE II–GOMOS ozone profile data set for 1984–2011 and trend analysis of the vertical distribution of ozone. Atmospheric Chemistry and Physics, 13(21), 10645–10658. http://doi.org/10.5194/acp-13-10645-2013

Lahoz, W. A., & De Lannoy, G. J. M. (2013). Closing the Gaps in Our Knowledge of the Hydrological Cycle over Land: Conceptual Problems. Surveys in Geophysics, 1–38. http://doi.org/10.1007/s10712-013-9221-7

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Levinsen, J. F., Khvorostovsky, K., Ticconi, F., Shepherd, A., Forsberg, R., Sørensen, L. S., … Kleinherenbrink, M. (2013). ESA’s Ice Sheets CCI: validation and inter-comparison of surface elevation changes derived from laser and radar altimetry over Jakobshavn Isbræ, Greenland – Round Robin results. The Cryosphere Discussions, 7(6), 5433–5460. http://doi.org/10.5194/tcd-7-5433-2013

Li, Y., Xue, Y., de Leeuw, G., Li, C., Yang, L., Hou, T., & Marir, F. (2013). Retrieval of aerosol optical depth and surface reflectance over land from NOAA AVHRR data. Remote Sensing of Environment, 133, 1–20. http://doi.org/10.1016/j.rse.2013.01.020

Loew, A., Stacke, T., Dorigo, W., de Jeu, R., & Hagemann, S. (2013). Potential and limitations of multidecadal satellite soil moisture observations for selected climate model evaluation studies. Hydrology and Earth System Sciences, 17(9), 3523–3542. http://doi.org/10.5194/hess-17-3523-2013

Loew, A. (2013). Terrestrial satellite records for climate studies: how long is long enough? A test case for the Sahel. Theoretical and Applied Climatology, 1–14. http://doi.org/10.1007/s00704-013-0880-6

Meirink, J. F., Roebeling, R. A., & Stammes, P. (2013). Inter-calibration of polar imager solar channels using SEVIRI. Atmospheric Measurement Techniques, 6(9), 2495–2508. http://doi.org/10.5194/amt-6-2495-2013

Melin, F., Zibordi, G., & Holben, B. N. (2013). Assessment of the Aerosol Products From the SeaWiFS and MODIS Ocean-Color Missions. IEEE Geoscience and Remote Sensing Letters, 10(5), 1185–1189. http://doi.org/10.1109/LGRS.2012.2235408

Miralles, D. G., van den Berg, M. J., Gash, J. H., Parinussa, R. M., de Jeu, R. A. M., Beck, H. E., … Johannes Dolman, A. (2013). El Niño–La Niña cycle and recent trends in continental evaporation. Nature Climate Change, advance on. http://doi.org/10.1038/nclimate2068

Monteil, G., Houweling, S., Butz, A., Guerlet, S., Schepers, D., Hasekamp, O., … Röckmann, T. (2013). Comparison of CH 4 inversions based on 15 months of GOSAT and SCIAMACHY observations. Journal of Geophysical Research: Atmospheres, 118(20), 11,807-11,823. http://doi.org/10.1002/2013JD019760

Muñoz, A. A., Barichivich, J., Christie, D. A., Dorigo, W., Sauchyn, D., González-Reyes, Á., … González, M. E. (2013). Patterns and drivers of Araucaria araucana forest growth along a biophysical gradient in the northern Patagonian Andes: Linking tree rings with satellite observations of soil moisture. Austral Ecology, n/a-n/a. http://doi.org/10.1111/aec.12054

Nuth, C., Kohler, J., König, M., von Deschwanden, A., Hagen, J. O., Kääb, A., … Pettersson, R. (2013). Decadal changes from a multi-temporal glacier inventory of Svalbard. The Cryosphere, 7(5), 1603–1621. http://doi.org/10.5194/tc-7-1603-2013

Ottlé, C., Lescure, J., Maignan, F., Poulter, B., Wang, T., & Delbart, N. (2013). Use of various remote sensing land cover products for plant functional type mapping over Siberia. Earth System Science Data, 5(2), 331–348. http://doi.org/10.5194/essd-5-331-2013

Parinussa, R. (2013). Uncertainty characterisation in remotely sensed soil moisture. VU University Amsterdam). Retrieved from http://dare.ubvu.vu.nl/bitstream/handle/1871/41480/dissertation.pdf?sequ...

Parinussa, R. M., Yilmaz, M. T., Anderson, M. C., Hain, C. R., & de Jeu, R. A. M. (2013). An intercomparison of remotely sensed soil moisture products at various spatial scales over the Iberian Peninsula. Hydrological Processes, n/a-n/a. http://doi.org/10.1002/hyp.9975

Paul, F., Barrand, N., Baumann, S., Berthier, E., Bolch, T., Casey, K., … Winsvold, S. (2013). On the accuracy of glacier outlines derived from remote-sensing data. Annals of Glaciology. http://doi.org/10.3189/2013AoG63A296 <http://dx.doi.org/10.3189/2013AoG63A296>

Paul, F., Bolch, T., Kääb, A., Nagler, T., Nuth, C., Scharrer, K., … Van Niel, T. (2013). The Glaciers Climate Change Initiative: Algorithms for creating glacier area, elevation change and velocity products. Remote Sensing of Environment. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425713003532

Pieczonka, T., Bolch, T., Junfeng, W., & Shiyin, L. (2013). Heterogeneous mass loss of glaciers in the Aksu-Tarim Catchment (Central Tien Shan) revealed by 1976 KH-9 Hexagon and 2009 SPOT-5 stereo imagery. Remote Sensing of Environment, 130, 233–244. Retrieved from http://www.sciencedirect.com/science/article/pii/S003442571200452X

Rahpoe, N., von Savigny, C., Weber, M., Rozanov, A. V., Bovensmann, H., & Burrows, J. P. (2013). Error budget analysis of SCIAMACHY limb ozone profile retrievals using the SCIATRAN model. Atmospheric Measurement Techniques, 6(10), 2825–2837. http://doi.org/10.5194/amt-6-2825-2013

Raitsos, D. E., Pradhan, Y., Brewin, R. J. W., Stenchikov, G., & Hoteit, I. (2013). Remote sensing the phytoplankton seasonal succession of the Red Sea. PloS One, 8(6), e64909. http://doi.org/10.1371/journal.pone.0064909

Rastner, P., Bolch, T., Notarnicola, C., & Paul, F. (2013). A Comparison of Pixel- and Object-Based Glacier Classification With Optical Satellite Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP(99), 1–10. http://doi.org/10.1109/JSTARS.2013.2274668

Reuter, M., Bösch, H., Bovensmann, H., Bril, A., Buchwitz, M., Butz, A., … Yoshida, Y. (2013). A joint effort to deliver satellite retrieved atmospheric CO2 concentrations for surface flux inversions: the ensemble median algorithm EMMA. Atmospheric Chemistry and Physics, 13(4), 1771–1780. http://doi.org/10.5194/acp-13-1771-2013

Richards, N. A. D., Arnold, S. R., Chipperfield, M. P., Miles, G., Rap, A., Siddans, R., … Hollaway, M. J. (2013). The Mediterranean summertime ozone maximum: global emission sensitivities and radiative impacts. Atmospheric Chemistry and Physics, 13(5), 2331–2345. http://doi.org/10.5194/acp-13-2331-2013

Ross, A. N., Wooster, M. J., Boesch, H., & Parker, R. (2013). First satellite measurements of carbon dioxide and methane emission ratios in wildfire plumes. Geophysical Research Letters, 40(15), 4098–4102. http://doi.org/10.1002/grl.50733

Santoro, M., & Wegmuller, U. (2013). Multi-temporal Synthetic Aperture Radar Metrics Applied to Map Open Water Bodies. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP(99), 1–14. http://doi.org/10.1109/JSTARS.2013.2289301

Schneising, O., Heymann, J., Buchwitz, M., Reuter, M., Bovensmann, H., & Burrows, J. P. (2013). Anthropogenic carbon dioxide source areas observed from space: assessment of regional enhancements and trends. Atmospheric Chemistry and Physics, 13(5), 2445–2454. http://doi.org/10.5194/acp-13-2445-2013

Sofieva, V. F., Rahpoe, N., Tamminen, J., Kyrölä, E., Kalakoski, N., Weber, M., … Zehner, C. (2013). Harmonized dataset of ozone profiles from satellite limb and occultation measurements. Earth System Science Data, 5(2), 349–363. http://doi.org/10.5194/essd-5-349-2013

Sonkaew, T., von Savigny, C., Eichmann, K.-U., Weber, M., Rozanov, A., Bovensmann, H., … Grooß, J.-U. (2013). Chemical ozone losses in Arctic and Antarctic polar winter/spring season derived from SCIAMACHY limb measurements 2002–2009. Atmospheric Chemistry and Physics, 13(4), 1809–1835. http://doi.org/10.5194/acp-13-1809-2013

Spurr, R., Natraj, V., Lerot, C., Van Roozendael, M., & Loyola, D. (2013). Linearization of the Principal Component Analysis method for radiative transfer acceleration: Application to retrieval algorithms and sensitivity studies. Journal of Quantitative Spectroscopy and Radiative Transfer, 125, 1–17. Retrieved from http://www.sciencedirect.com/science/article/pii/S0022407313001362

Sussmann, R., Ostler, A., Forster, F., Rettinger, M., Deutscher, N. M., Griffith, D. W. T., … Patra, P. K. (2013). First intercalibration of column-averaged methane from the Total Carbon Column Observing Network and the Network for the Detection of Atmospheric Composition Change. Atmospheric Measurement Techniques, 6(2), 397–418. http://doi.org/10.5194/amt-6-397-2013

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Bontemps, S., Herold, M., Kooistra, L., van Groenestijn, A., Hartley, A., Arino, O., … Defourny, P. (2012). Revisiting land cover observation to address the needs of the climate modeling community. Biogeosciences, 9(6), 2145–2157. http://doi.org/10.5194/bg-9-2145-2012

Braesicke, P., See Hai, O., & Abu Samah, A. (2012). Properties of strong off-shore Borneo vortices: a composite analysis of flow pattern and composition as captured by ERA-Interim. Atmospheric Science Letters, 13(2), 128–132. http://doi.org/10.1002/asl.372

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Cai, D., Dameris, M., Garny, H., & Runde, T. (2012). Implications of all season Arctic sea-ice anomalies on the stratosphere. Atmospheric Chemistry and Physics, 12(24), 11819–11831. http://doi.org/10.5194/acp-12-11819-2012

Cazenave, A., Henry, O., Munier, S., Delcroix, T., Gordon, A. L., Meyssignac, B., … Becker, M. (2012). Estimating ENSO Influence on the Global Mean Sea Level, 1993–2010. Marine Geodesy, 35(sup1), 82–97. http://doi.org/10.1080/01490419.2012.718209

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Debella-Gilo, M., & Kääb, A. (2012). Measurement of Surface Displacement and Deformation of Mass Movements Using Least Squares Matching of Repeat High Resolution Satellite and Aerial Images. Remote Sensing, 4(12), 43–67. http://doi.org/10.3390/rs4010043

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Garcia-Soto, C., Vazquez-Cuervo, J., Clemente-Colón, P., Hernandez, F., Brewin, R. J. W., Hirata, T., … Barlow, R. (2012). The influence of the Indian Ocean Dipole on interannual variations in phytoplankton size structure as revealed by Earth Observation. Deep Sea Research Part II: Topical Studies in Oceanography, 77, 117–127. Retrieved from http://www.sciencedirect.com/science/article/pii/S0967064512000574

Heid, T., & Kääb, A. (2012). Repeat optical satellite images reveal widespread and long term decrease in land-terminating glacier speeds. The Cryosphere, 6(2), 467–478. http://doi.org/10.5194/tc-6-467-2012

Heid, T., & Kääb, A. (2012). Evaluation of existing image matching methods for deriving glacier surface displacements globally from optical satellite imagery. Remote Sensing of Environment, 118, 339–355. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425711004214

Heymann, J., Bovensmann, H., Buchwitz, M., Burrows, J. P., Deutscher, N. M., Notholt, J., … Warneke, T. (2012). SCIAMACHY WFM-DOAS XCO2: reduction of scattering related errors. Atmospheric Measurement Techniques,5(10), 2375–2390. http://doi.org/10.5194/amt-5-2375-2012

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Liu, Y. Y., Dorigo, W. A., Parinussa, R. M., de Jeu, R. A. M., Wagner, W., McCabe, M. F., … van Dijk, A. I. J. M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals. Remote Sensing of Environment, 123, 280–297. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425712001332

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Merchant, C. J., Embury, O., Rayner, N. A., Berry, D. I., Corlett, G. K., Lean, K., … Saunders, R. (2012). A 20 year independent record of sea surface temperature for climate from Along-Track Scanning Radiometers. Journal of Geophysical Research, 117(C12), C12013. http://doi.org/10.1029/2012JC008400

Mieruch, S., Weber, M., von Savigny, C., Rozanov, A., Bovensmann, H., Burrows, J. P., … Zawodny, J. M. (2012). Global and long-term comparison of SCIAMACHY limb ozone profiles with correlative satellite data (2002–2008). Atmospheric Measurement Techniques, 5(4), 771–788. http://doi.org/10.5194/amt-5-771-2012

Miyazaki, K., Eskes, H. J., Sudo, K., Takigawa, M., van Weele, M., & Boersma, K. F. (2012). Simultaneous assimilation of satellite NO2, O3, CO, and HNO3 data for the analysis of tropospheric chemical composition and emissions. Atmospheric Chemistry and Physics, 12(20), 9545–9579. http://doi.org/10.5194/acp-12-9545-2012

Nuth, C., Schuler, T. V., Kohler, J., Altena, B., & Hagen, J. O. (2012). Estimating the long-term calving flux of Kronebreen, Svalbard from geodetic elevation changes and mass-balance modelling. Journal of Glaciology. http://doi.org/10.3189/2012JoG11J036 <http://dx.doi.org/10.3189/2012JoG11J036>

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Parinussa, R. M., Holmes, T. R. H., & de Jeu, R. A. M. (2012). Soil Moisture Retrievals From the WindSat Spaceborne Polarimetric Microwave Radiometer. IEEE Transactions on Geoscience and Remote Sensing, 50(7), 2683–2694. http://doi.org/10.1109/TGRS.2011.2174643

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Rastner, P., Bolch, T., Mölg, N., Machguth, H., Le Bris, R., & Paul, F. (2012). The first complete inventory of the local glaciers and ice caps on Greenland. The Cryosphere, 6(6), 1483–1495. http://doi.org/10.5194/tc-6-1483-2012

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