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Scientific Publications

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. 064008. https://doi.org/10.1088/1748-9326/ac6c9b
Adloff, F., Jordá, G., Somot, S., Sevault, F., Arsouze, T., Meyssignac, B., Li, L., and Planton, S. (2018). Improving sea level simulation in Mediterranean regional climate models. Climate Dynamics, 51, 1167-1178. https://doi.org/10.1007/s00382-017-3842-3
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. (2020). Data assimilation for continuous global assessment of severe conditions over terrestrial surfaces. Hydrology and Earth System Sciences, 24(9), 4291-4316. https://doi.org/10.5194/hess-24-4291-2020
Bellprat, O., Massonnet, F., Siegert, S., Prodhomme, C., Macias-Gómez, D., Guemas, V. and Doblas-Reyes, F. (2017). Uncertainty propagation in observational references to climate model scales. Remote Sensing of Environment, 203(15), 101-108. http://dx.doi.org/10.1016/j.rse.2017.06.034
Bilbao, R., Wild, S., Ortega, P., Acosta-Navarro, J., Arsouze, T., Bretonnière, P.-A., Caron, L.-P., Castrillo, M., Cruz-García, R., Cvijanovic, I., Doblas-Reyes, F., Donat, M., Dutra, E., Echevarría, P., Ho, A.-C., Loosveldt-Tomas, S., Moreno-Chamarro, E., Pérez-Zanon, N., Ramos, A., Ruprich-Robert, Y., Sicardi, V., Tourigny, E. and Vegas-Regidor, J. (2021). Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth. Earth System Dynamics, 12, 173-196. https://doi.org/10.5194/esd-12-173-2021
Bock, L., Lauer, A., Schlund, M., Barreiro, M., Bellouin, N., Jones, C., Meehl, G. A., Predoi, V., Roberts, M. J. and Eyring, V. (2020). Quantifying progress across different CMIP phases with the ESMValTool. Journal of Geophysical Research: Atmospheres, 125(21). https://doi.org/10.1029/2019JD032321
Bock, L., and A. Lauer (2024). Cloud properties and their projected changes in CMIP models with low to high climate sensitivity, Atmos. Chem. Phys., 24, 1587-1605, https://doi.org/10.5194/acp-24-1587-2024
Cheruy, F., Ducharne, A., Hourdin, F., Musat, I., Vignon, É., Gastineau, G., Bastrikov, V., Vuichard, N., Dugresne, J.-L., Ghattas, J., Grandpeix, J.-Y., Idelkadi, A., Mellul, L., Maignan, F., Ménégoz, M., Ottlé, C., Peylin, P., Servonnat, J., Wang, F. and Zhao, Y. (2020). 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, 12(10). https://doi.org/10.1029/2019MS002005
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. https://doi.org/10.5194/acp-16-8539-2016
Eyring, V., Righi, M., Lauer, A., Evaldsson, M., Wenzel, S., Jones, C., Anav, A., Andrews, O., Cionni, I., Davin, E. L., Deser, C., Ehbrecht, C., Friedlingstein, P., Gleckler, P., Gottschaldt, K.-D., Hagemann, S., Juckes, M., Kindermann, S., Krasting, J., Kunert, D., Levine, R., Loew, A., Mäkelä, J., Martin, G., Mason, E., Phillips, A. S., Read, S., Rio, C., Roehrig, R., Senftleben, D., Sterl, A., van Ulft, L. H., Walton, J., Wang, S. and Williams, K. D. (2016). ESMValTool (v1.0) – a community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP. Geoscientific Model Development, 9(5), 1747-1802. https://doi.org/10.5194/gmd-9-1747-2016
Eyring, V., Cox, P., Flato, G., Gleckler, P., Abramowitz, G., Caldwell, P., Collins, W., Gier, B., Hall, A., Hoffman, F., Hurtt, G., Jahn, A., Jones, C., Klein, S., Krasting, J., Kwiatkowski, L., Lorenz, R., Maloney, E., Meehl, G., Pendergrass, A., Pincus, R., Ruane, A., Russell, J., Sanderson, B., Santer, B., Sherwood, S., Simpson, I., Stouffer, R. and Williamson, M. (2019). Taking climate model evaluation to the next level. Nature Climate Change, 9, 102-110. https://doi.org/10.1038/s41558-018-0355-y
Eyring, V., Bock, L., Lauer, A., Righi, M., Schlund, M., Andela, B., Arnone, E., Bellprat, O., Brötz, B., Caron, L.-P., Carvalhais, N., Cionni, I., Cortesi, N., Crezee, B., Davin, E., Davini, P., Debeire, K., de Mora, L., Deser, C., Docquier, D., Earnshaw, P., Ehbrecht, C., Gier, B., Gonzales-Reviriego, N., Goodman, P., Hagemann, S., Hardiman, S., Hassler, B., Hunter, A., Kadow, C., Kindermann, S., Koirala, S., Koldunov, N., Lejeune, Q., Lembo, V., Lovato, T., Lucarini, V., Massonnet, F., Müller, B., Pandde, A., Pérez-Zanón, N., Phillips, A., Predoi, V., Russell, J., Sellar, A., Serva, F., Stacke, T., Swaminathan, R., Torralba, V., Vegas-Regidor, J., von Hardenberg, J., Weigel, K. and Zimmermann, K. (2020). Earth System Model Evaluation Tool (ESMValTool) v2.0 0 – an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP. Geoscientific Model Development, 13(7), 3383-3438. https://doi.org/10.5194/gmd-13-3383-2020
Ford, D. A. (2020). Assessing the role and consistency of satellite observation products in global physical-biogeochemical ocean reanalysis. Ocean Science, 16, 875-893. https://doi.org/10.5194/os-16-875-2020
Ford, D. A., Edwards, K., Lea, D., Barciela, R., Martin, M. and Demaria, J. (2012). Assimilating GlobColour ocean colour data into a pre-operational physical-biogeochemical model. Ocean Science, 8, 751-771. https://doi.org/10.5194/os-8-751-2012
Ford, D. A. and Barciela, R. (2017). Global marine biogeochemical reanalyses assimilating two different sets of merged ocean colour products. Remote Sensing of Environment, 203, 40-54. https://doi.org/10.1016/j.rse.2017.03.040
Gier, B., Buchwitz, M., Reuter, M., Cox, P., Friedlingstein, P. and Eyring, V. (2020). 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
Guemas, V., Chevallier, M., Déqué, M., Bellprat, O. and 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. https://doi.org/10.1002/2015GL066626
Hansen, N., Orr, A., Zou, X., Boberg, F., Bracegirdle, T. J., Gilbert, E., Langen, P. L., Lazzara, M. A., Mottram, R., Phillips, T., Price, R., Simonsen, S. B. and Webster, S. (2024) The importance of cloud properties when assessing surface melting in an offline-coupled firn model over Ross Ice shelf, West Antarctica, The Cryosphere, 18(6): 2897-2916, https://doi.org/10.5194/tc-18-2897-2024
Hollmann, R., Merchant, C., Saunders, R., Downy, C., Buchwitz, M., Cazenave, A., Chuvieco, E., Defourny, P., de Leeuw, G., Forsberg, R., Holzer-Popp, T., Paul, F., Sandven, S., Sathyendranath, S., van Roozendael, M. and Wagner, W. (2013). The ESA Climate Change Initiative: Satellite Data Records for Essential Climate Variables. Bulletin of the American Meteorological Society, 1541-1552. https://doi.org/10.1175/BAMS-D-11-00254.1
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, accepted, 2024.
Klose, M., Jorba, O., Gonçalves Ageitos, M., Escribano, J., Dawson, M., Obiso, V., Di Tomaso, E., Basart, S., Montané Pinto, G., Macchia, F., Ginoux, P., Guerschman, J., Prigent, C., Huang, Y., Kok, J., Miller, R. and Pérez García-Pando, C. (2021). Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0. Geoscientific Model Development, 14, 6403-6444. https://doi.org/10.5194/gmd-14-6403-2021
Lauer, A., L. Bock, B. Hassler, M. Schröder, and M. Stengel. (2023) Cloud climatologies from global climate models – a comparison of CMIP5 and CMIP6 models with satellite data. Journal of Climate, 36 (2), 281-311. DOI10.1175/JCLI-D-22-0181.1 https://doi.org/10.1175/JCLI-D-22-0181.1
Lauer, A., Eyring, V., Righi, M., Buchwitz, M., Defourny, P., Evaldsson M., Friedlingstein, P., de Jeu, R., de Leeuw, G., Loew, A., Merchant, C., Müller, B., Popp, T., Reuter, M., Sandven, S., Senftleben, D., Stengel, M., Van Roozendael, M., Wenzel, S. and Willén U. (2017). Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool. Remote Sensing of Environment, 205, 9-39. https://doi.org/10.1016/j.rse.2017.01.007
Lauer, A., Eyring, V., Bellprat, O., Bock, L., Gier, B., Hunter, A., Lorenz, R., Pérez-Zanón, N., Righi, M., Schlund, M., Senftleben, D., Weigel, K. and Zechlau, S. (2020). Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for emergent constraints and future projections from Earth system models in CMIP. Geoscientific Model Development, 13, 4205-4228. https://doi.org/10.5194/gmd-13-4205-2020
Lean, K. and Saunders, R. (2013). Validation of the ATSR Reprocessing for Climate (ARC) Dataset Using Data from Drifting Buoys and a Three-Way Error Analysis. American Meteorological Society, 26(13), 4758-4772. https://doi.org/10.1175/JCLI-D-12-00206.1
Loew, A. (2013). Terrestrial satellite records for climate studies: how long is long enough? A test case for the Sahel. Theoretical and Applied Climatology, 115, 427-440. https://doi.org/10.1007/s00704-013-0880-6
Loew, A., Stacke, T., Dorigo, W., de Jeu, R. and Hagemann, S. (2013). Potential and limitations of multidecadal satellite soil moisture observations for selected climate model evaluation studies. Hydrology and Earth System Sciences, 17, 3523-3542. https://doi.org/10.5194/hess-17-3523-2013
Loew, A., Andersson, A., Trentmann, J. and Schröder, M. (2016). Assessing Surface Solar Radiation Fluxes in the CMIP Ensembles. American Meteorological Society, 29(20), 7231-7246. https://doi.org/10.1175/JCLI-D-14-00503.1
Massonnet, F., Bellprat, O., Guemas, V. and Doblas-Reyes, F. (2016). Using climate models to estimate the quality of global observational data sets. Science, 354(6311), 452-455. https://doi.org/10.1594/PANGAEA.864680
Merchant, C., Embury, O., Rayner, N., Berry, D., Corlett, G., Lean, K., Veal, K., Kent, E., Llewellyn-Jones, D., Remedios, J. and 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). https://doi.org/10.1029/2012JC008400
Peano, D., Hemming, D., Materia, S., Delire, C., Fan, Y., Joetzjer, E., Lee, H., Nabel, J., Park, T., Peylin, P., Wårlind, D., Wiltshire, A. and Zaehle, S. (2021). Plant phenology evaluation of CRESCENDO land surface models – Part 1: Start and end of the growing season. Biogeosciences, 18, 2405-2428. https://doi.org/10.5194/bg-18-2405-2021
Popp, T., Hegglin, M., Hollmann, R., Ardhuin, F., Bartsch, A., Bastos, A., Bennett, V., Boutin, J., Brockmann, C., Buchwitz, M., Chuvieco, E., Ciais, P., Dorigo, W., Ghent, D., Jones, R., Lavergne, T., Merchant, C., Meyssignac, B., Paul, F., Quegan, S., Sathyendranath, S., Scanlon, T., Schröder, M., Simis, S. and Willén, U. (2020). Consistency of Satellite Climate Data Records for Earth System Monitoring. American Meteorological Society, 101(11), E1948-E1971. https://doi.org/10.1175/BAMS-D-19-0127.1
Sevault, F., Somot, S., Alias, A., Dubois, C., Lebeaupin-Brossier, C., Nabat, P., Adloff, F. Déqué, M. and 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, 68(s2). https://doi.org/10.3402/tellusa.v66.23967
Waliser, D., Gleckler, P., Ferraro, R., Taylor, K., Ames, S., Biard, J., Bosilovich, M., Brown, O., Chepfer, H., Cinquini, L., Durack, P., Eyring, V., Mathieu, P.-P., Lee, T., Pinnock, S., Potter, G., Rixen, M., Saunders, R., Schulz, J., Thépaut, J.-N. and Tuma, M. (2020). Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6. Geoscientific Model Development, 13, 2945-2958. https://doi.org/10.5194/gmd-13-2945-2020
Wernecke, A., Notz, D., Kern, S., and Lavergne, T.: Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals, The Cryosphere, 18, 2473–2486, https://doi.org/10.5194/tc-18-2473-2024, 2024.
Yue, C., Ciais, P., Cadule, P., Thonicke, K. and van Leeuwen, T. (2015). Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 2: Carbon emissions and the role of fires in the global carbon balance. Geoscientific Model Development, 8, 1321-1338. https://doi.org/10.5194/gmd-8-1321-2015
Yue, C., Ciais, P., Cadule, P., Thonicke, K., Archibald, S., Poulter, B., Hao, W., Hantson, S., Mouillot, F., Friedlingstein, P., Maignan, F. and 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. https://doi.org/10.5194/gmd-7-2747-2014
Zheng, Y., Albergel, C., Munier, S., Bonan, B. and Calvet, J.-C. (2020). An offline framework for high-dimensional ensemble Kalman filters to reduce the time to solution. Geoscientific Model Development, 13(8), 3607-3625. https://doi.org/10.5194/gmd-13-3607-2020