VEGEO team
Overview
The main objective of VEGEO is to characterize and simulate land surface processes related to soil and vegetation variables, such as soil moisture dynamics and surface radiative properties. The research conducted by VEGEO focusses on the use of Earth observation data over land.
Four areas of research are addressed: i) the conception of biogeophysical variables (albedo, solar radiation, aerosols,...) from satellite data and their validation ; ii) the numerical simulation of land surface processes and the use of data assimilation techniques to improve the representation of the carbon cycle and of the surface hydrology in the ISBA land surface model, using the SURFEX (https://www.umr-cnrm.fr/surfex/) modelling platform; iii) the conception of observation strategies for land surfaces (in situ, airborne or satellite remote sensing) and the critical analysis of the observations ; iv) the assessment of the impact of climate change on land surface variables at the mesoscale. VEGEO has a scientific leading role at CNRM in terms of land satellite-derived products and aerosols, for their use in numerical weather prediction models and in climate models at Meteo-France. VEGEO is in charge for Meteo-France of the development of the land surface albedo product in the EUMETSAT LSA-SAF and in Copernicus (CGLS, C3S). Land data assimilation systems are developed in order to drive ISBA using satellite data at various wavelengths. The assimilation of satellite data is implemented in order to monitor the terrestrial water and carbon fluxes over France and at a global scale: LDAS (Land Data Assimilation System).
Current research
* Remote sensing of atmospheric aerosols, development and demonstration of the use of incident radiation, land surface albedo, and vegetation remote sensing products
* Data assimilation for the analysis of soil moisture and vegetation biomass
* Assessment of remote sensing products (model / satellite data / in situ data cross-verification)
– Main satellite data used: AMSR, ASCAT, ERS-Scat, METEOSAT, MODIS, PROBA-V, SMOS, SPOT-VEGETATION, WINDSAT
– Main in situ data used: SMOSMANIA, METEOPOLE-FLUX
* Modelling biospheric terrestrial fluxes
– Development of the A-gs and Carbon Cycle versions of the ISBA model
– Verification and benchmarking
– Impact of climate change on vegetation at the mesoscale
Main projects
* FP7 IMAGINES (web site) and eartH2Observe (web site)
* H2020 COCO2 (web site)
* H2020 SEEDS (web site)
* Horizon Europe CORSO (web site)
* Horizon Europe CERISE (web site)
* HYMEX
* Contribution to ECOCLIMAP, SURFEX
Staff
Bertrand Bonan, Scientist, PhD
Jean-Christophe Calvet, Senior scientist, PhD, Habilitation, head of VEGEO section
Xavier Ceamanos, Scientist, PhD
Valentin Vigerie, Research engineer
Sophie Barthélémy, PhD Student
Fernando Capalbo, Post-doctoral fellow
Timothée Corchia, PhD student
Adèle Georgeot, PhD Student
Daniel Juncu, Post-doctoral fellow
Gloria Klein, PhD Student
Oscar Rojas, Post-doctoral fellow
Pierre Vanderbecken, Post-doctoral fellow
Jasmin Vural, Post-doctoral fellow
Most recent papers (2020-2024)
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://doi.org/10.5194/hess-24-4291-2020, 2020.
Bonan, B., Albergel, C., Zheng, Y., Barbu, A. L., Fairbairn, D., Munier, S., and Calvet, J.-C.: An ensemble square root filter for the joint assimilation of surface soil moisture and leaf area index within the Land Data Assimilation System LDAS-Monde: application over the Euro-Mediterranean region, Hydrol. Earth Syst. Sci., 24, 325–347, https://doi.org/10.5194/hess-24-325-2020, 2020.
Boulisset, V.; Attié, J.-L.; Tournier, R.; Ceamanos, X.; Andrey, J.; Pequignot, E.; Lauret, N.; Gastellu-Etchegorry, J.-P. Aerosol Optical Depth Measurements from a Simulated Low-Cost Multi-Wavelength Ground-Based Camera: A Clear Case over a Peri-Urban Area. Remote Sens., 16, 140. https://doi.org/10.3390/rs16010140, 2024.
Carrer D, Meurey C, Hagolle O, Bigeard G, Paci A, Donier J-M, Bergametti G, Bergot T, Calvet J-C, Goloub P, Victori S, Wang Z. Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network of Ground Measurements Dedicated to the Monitoring of Surface Properties? Remote Sensing. 2021; 13(16):3072. https://doi.org/10.3390/rs13163072
Carrer, D.; Pinault, F.; Lellouch, G.; Trigo, I.F.; Benhadj, I.; Camacho, F.; Ceamanos, X.; Moparthy, S.; Munoz-Sabater, J.; Schüller, L.; Sánchez-Zapero, J. Surface Albedo Retrieval from 40-Years of Earth Observations through the EUMETSAT/LSA SAF and EU/C3S Programmes: The Versatile Algorithm of PYALUS. Remote Sens. 2021, 13, 372. https://doi.org/10.3390/rs13030372
Ceamanos, X., Six, B., and Riedi, J.: Quasi-global maps of daily aerosol optical depth from a ring of five geostationary meteorological satellites using AERUS-GEO. Journal of Geophysical Research: Atmospheres, 126, e2021JD034906. https://doi.org/10.1029/2021JD034906, 2021.
Ceamanos, X., Six, B., Moparthy, S., Carrer, D., Georgeot, A., Gasteiger, J., Riedi, J., Attié, J.-L., Lyapustin, A., and Katsev, I.: Instantaneous aerosol and surface retrieval using satellites in geostationary orbit (iAERUS-GEO) – estimation of 15 min aerosol optical depth from MSG/SEVIRI and evaluation with reference data, Atmos. Meas. Tech., 16, 2575–2599, https://doi.org/10.5194/amt-16-2575-2023, 2023.
Ceamanos, X., Coopman, Q., George, M., Riedi, J., Parrington, M., and Clerbaux, C. Remote sensing and model analysis of biomass burning smoke transported across the Atlantic during the 2020 Western US wildfire season. Sci Rep 13, 16014, https://doi.org/10.1038/s41598-023-39312-1, 2023
Cluzet, B., Lafaysse, M., Cosme, E., Albergel, C., Meunier, L.-F., and Dumont, M.: CrocO_v1.0: a particle filter to assimilate snowpack observations in a spatialised framework, Geosci. Model Dev., 14, 1595–1614, https://doi.org/10.5194/gmd-14-1595-2021, 2021.
Colliander, A., R. H. Reichle, W. T. Crow, M. H. Cosh, F. Chen, S. Chan, N. N. Das, R. Bindlish, J. Chaubell, S. Kim, Q. Liu, P. E. O’Neill, R. S. Dunbar, L. B. Dang, J. S. Kimball, T. J. Jackson, H. K. Al-Jassar, J. Asanuma, B. K. Bhattacharya, A. A. Berg, D. D. Bosch, L. Bourgeau-Chavez, T. Caldwell, J.-C. Calvet, C. Holifield Collins, K. H. Jensen, S. Livingston, E. Lopez-Baeza, J. Martínez-Fernández, H. McNairn, M. Moghaddam, C. Montzka, C. Notarnicola, T. Pellarin, I. Greimeister-Pfeil, J. Pulliainen, J. G. Ramos-Hernandez, M. Seyfried, P. J. Starks, Z. Su, R. van der Velde, Y. Zeng, M. Thibeault, M. Vreugdenhil, J. P. Walker, M. Zribi, D. Entekhabi, S. H. Yueh. Validation of soil moisture data products from the NASA SMAP mission, IEEE JSTARS, 15, https://doi.org/10.1109/JSTARS.2021.3124743, 364-392, 2022.
Corchia, T.; Bonan, B.; Rodríguez-Fernández, N.; Colas, G.; Calvet, J.-C. Assimilation of ASCAT Radar Backscatter Coefficients over Southwestern France. Remote Sens. 2023, 15, 4258. https://doi.org/10.3390/rs15174258
Delire, C., Séférian R., Decharme B., Alkama R., Calvet J.-C., Carrer D., Gibelin A.-L., Joetzjer E., Morel X., Rocher M., Tzanos D.: The global land carbon cycle simulated with ISBA-CTRIP: improvements over the last decade, Journal of Advances in Modeling Earth Systems, 12, e2019MS001886, https://doi.org/10.1029/2019MS001886, 2020.
De Lannoy GJM, Bechtold M, Albergel C, Brocca L, Calvet J-C, Carrassi A, Crow WT, de Rosnay P, Durand M, Forman B, Geppert G, Girotto M, Hendricks Franssen H-J, Jonas T, Kumar S, Lievens H, Lu Y, Massari C, Pauwels VRN, Reichle RH and Steele-Dunne S: Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication. Front. Water 4:981745. https://doi.org/10.3389/frwa.2022.981745, 2022.
Delmotte, A., D. Juncu, X. Ceamanos, I.F. Trigo, and S. Gomes: Upgrade and extension of LSA-SAF land surface albedo archive from EPS Metop/AVHRR: description and quality assessment, European Journal of Remote Sensing, https://doi.org/10.1080/22797254.2023.2300043, 2024.
de Rosnay, P., J. Muñoz-Sabater, C. Albergel, L. Isaksen, S. English, M. Drusch, J.-P. Wigneron: SMOS brightness temperature forward modelling and long term monitoring at ECMWF, Remote Sens. Environ., 237, 111424, https://doi.org/10.1016/j.rse.2019.111424, 2020.
Dorigo, W., Himmelbauer, I., Aberer, D., Schremmer, L., Petrakovic, I., Zappa, L., Preimesberger, W., Xaver, A., Annor, F., Ardö, J., Baldocchi, D., Bitelli, M., Blöschl, G., Bogena, H., Brocca, L., Calvet, J.-C., Camarero, J. J., Capello, G., Choi, M., Cosh, M. C., van de Giesen, N., Hajdu, I., Ikonen, J., Jensen, K. H., Kanniah, K. D., de Kat, I., Kirchengast, G., Rai, P. K., Kyrouac, J., Larson, K., Liu, S., Loew, A., Moghaddam, M., Martínez Fernández, J., Mattar Bader, C., Morbidelli, R., Musial, J. P., Osenga, E., Palecki, M. A., Pellarin, T., Petropoulos, G. P., Pfeil, I., Powers, J., Robock, A., Rüdiger, C., Rummel, U., Strobel, M., Su, Z., Sullivan, R., Tagesson, T., Varlagin, A., Vreugdenhil, M., Wenger, F., Wigneron, J. P., Woods, M., Yang, K., Zeng, Y., Zhang, X., Zreda, M., Dietrich, S., Gruber, A., van Oevelen, P., Wagner, W., Scipal, K., Drusch, M., and Sabia, R.: The International Soil Moisture Network: serving Earth system science for over a decade, Hydrol. Earth Syst. Sci., 25, 5749–5804, https://doi.org/10.5194/hess-25-5749-2021, 2021.
Druel, A., Munier, S., Mucia, A., Albergel, C., and J.-C. Calvet: Implementation of a new crop phenology and irrigation scheme in the ISBA land surface model using SURFEX_v8.1, Geosci. Model Dev., 15, 8453–8471, https://doi.org/10.5194/gmd-15-8453-2022, 2022.
Eeckman, J., Roux, H., Douinot, A., Bonan, B., and Albergel, C.: A multi-sourced assessment of the spatiotemporal dynamics of soil moisture in the MARINE flash flood model, Hydrol. Earth Syst. Sci., 25, 1425–1446, https://doi.org/10.5194/hess-25-1425-2021, 2021.
Foucras, M., M. Zribi, C. Albergel, N. Baghdadi , J.-C. Calvet, T. Pellarin: Estimating 500-m resolution soil moisture using Sentinel-1 and optical data synergy, Water, 12, 866, https://doi.org/10.3390/w12030866, 2020.
Georgeot, A., Ceamanos, X., & Attié, J.-L. Quantitative assessment of the potential of optimal estimation for aerosol retrieval from geostationary weather satellites in the frame of the iAERUS-GEO algorithm. Atmospheric Science Letters, e1199. https://doi.org/10.1002/asl.1199, 2023.
Gorrab, A.; Ameline, M.; Albergel, C.; Baup, F. Use of Sentinel-1 Multi-Configuration and Multi-Temporal Series for Monitoring Parameters of Winter Wheat. Remote Sens., 13, 553. https://doi.org/10.3390/rs13040553, 2021.
Gruber, A., G. De Lannoy, C. Albergel, A. Al-Yaari, L. Brocca, J.-C. Calvet, A. Colliander, M. Cosh, W. Crow, W. Dorigo, C. Draper, M. Hirschi, Y. Kerr, A. Konings, W. Lahoz, K. McColl, C. Montzka, J. Muñoz-Sabater, J. Peng, R. Reichle, P. Richaume, C. Rüdiger, T. Scanlon, R. van der Schalie, J.-P. Wigneron, W. Wagner: Validation practices for satellite soil moisture retrievals: What are (the) errors?, Remote Sensing of Environment, 244, 111806, https://doi.org/10.1016/j.rse.2020.111806, 2020.
Juncu, D., Ceamanos, X., Trigo, I. F., Gomes, S., and Freitas, S. C.: Upgrade of LSA-SAF Meteosat Second Generation daily surface albedo (MDAL) retrieval algorithm incorporating aerosol correction and other improvements, Geosci. Instrum. Method. Data Syst., 11, 389–412, https://doi.org/10.5194/gi-11-389-2022, 2022.
Kumar, S., J. Kolassa, R. Reichle, W. Crow, G. de Lannoy, P. de Rosnay, N. MacBean, M. Girotto, A. Fox, T. Quaife, C. Draper, B. Forman, G. Balsamo, S. Steele-Dunne, C. Albergel, B. Bonan, J.-C. Calvet, J. Dong, H. Liddy, B. Ruston: An agenda for land data assimilation priorities: Realizing the promise of terrestrial water, energy, and vegetation observations from space. Journal of Advances in Modeling Earth Systems, 14, e2022MS003259. https://doi.org/10.1029/2022MS003259, 2022.
Lellouch, G.; Carrer, D.; Vincent, C.; Pardé, M.; C. Frietas, S.; Trigo, I.F. Evaluation of Two Global Land Surface Albedo Datasets Distributed by the Copernicus Climate Change Service and the EUMETSAT LSA-SAF. Remote Sens. 12, 1888, https://doi.org/10.3390/rs12111888, 2020.
Masson, V., E. Bocher, B. Bucher, Z. Chitu, S. Christophe, C. Fortelius, R. Hamdi, A. Lemonsu, A. Perrels, B. Van Schaeybroeck, B. W. Schreur, L. Velea, Y. Beddar, J. C. Calvet, A. Delcloo, A. Druel, F. Duchene, G. Dumas, A. Dumitrescu, J. Gautier, M. Goret, M. Horttanainen, R. Kouznetsov, A. Le Bris, S. Lecorre, B. Le Roy, Y. Palamarchuk, G. Petit, R. Ruuhela, O. Saranko, M. Sofiev, P. Siljamo, H. Van de Vyverf, P. van Velthoven and A. Votsis (2020). "The Urban Climate Services URCLIM project." Climate Services 20, https://doi.org/10.1016/j.cliser.2020.100194.
Mucia, A.; Bonan, B.; Zheng, Y.; Albergel, C.; Calvet, J.-C. From Monitoring to Forecasting Land Surface Conditions Using a Land Data Assimilation System: Application over the Contiguous United States. Remote Sens. 2020, 12, https://doi.org/10.3390/rs12122020, 2020.
Mucia, A., Bonan, B., Albergel, C., Zheng, Y., and Calvet, J.-C.: Assimilation of passive microwave vegetation optical depth in LDAS-Monde: a case study over the continental USA, Biogeosciences, 19, 2557–2581, https://doi.org/10.5194/bg-19-2557-2022, 2022.
Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., Martens, B., Miralles, D. G., Piles, M., Rodríguez-Fernández, N. J., Zsoter, E., Buontempo, C., and Thépaut, J.-N.: ERA5-Land: a state-of-the-art global reanalysis dataset for land applications, Earth Syst. Sci. Data, 13, 4349–4383, https://doi.org/10.5194/essd-13-4349-2021, 2021.
Nogueira, M., Albergel, C., Boussetta, S., Johannsen, F., Trigo, I. F., Ermida, S. L., Martins, J. P. A., and Dutra, E.: Role of vegetation in representing land surface temperature in the CHTESSEL (CY45R1) and SURFEX-ISBA (v8.1) land surface models: a case study over Iberia, Geosci. Model Dev., 13, 3975–3993, https://doi.org/10.5194/gmd-13-3975-2020, 2020.
Peng, J., C. Albergel, A. Balenzano, L. Brocca, O. Cartus, M.H. Cosh, W.T. Crow, K. Dabrowska-Zielinska, S. Dadson, M.W.J. Davidson, P. de Rosnay, W. Dorigo, A. Gruber, S. Hagemann, M. Hirschi, Y.H. Kerr, F. Lovergine, M.D. Mahecha, P. Marzahn, F. Mattia, J. Pawel Musial, S. Preuschmann, R.H. Reichle, G. Satalino, M. Silgram, P. M. van Bodegom, N.E.C. Verhoest, W. Wagner, J.P. Walker, U. Wegmüller, A. Loew, A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements,, Remote Sens. Environ., 2020, 112162, https://doi.org/10.1016/j.rse.2020.112162.
Rojas-Munoz, O.; Calvet, J.-C.; Bonan, B.; Baghdadi, N.; Meurey, C.; Napoly, A.; Wigneron, J.-P.; Zribi, M. Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA. Remote Sens. 2023, 15, 4329. https://doi.org/10.3390/rs15174329
Sánchez-Zapero, J., F. Camacho, E. Martínez-Sánchez, R. Lacaze, D. Carrer, F. Pinault, I. Benhadj, J. Muñoz-Sabater: Quality assessment of PROBA-V surface albedo V1 for the continuity of the Copernicus Climate Change service. Remote Sens., 12, 2596, https://doi.org/10.3390/rs12162596, 2020.
Shan, X., Steele-Dunne, S., Huber, M., Hahn, S., Wagner, W., Bonan, B., Albergel, C. Calvet, J.-C., Ku, O., Georgievska, S.: Towards constraining soil and vegetation dynamics in land surface models: Modeling ASCAT backscatter incidence-angle dependence with a Deep Neural Network, Remote Sens. Environ., 279, 113116, https://doi.org/10.1016/j.rse.2022.113116, 2022.
Trimmel, H., P. Hamer, M. Mayer, S. F. Schreier, P. Weihs, J. Eitzinger, H. Sandén, A. C. Fitzky, A. Richter, J.-C. Calvet, B. Bonan, C. Meurey, I. Vallejo, S. Eckhardt, G. Sousa Santos, S. Oumami, J. Arteta, V. Marécal, L. Tarrasón, T. Karl, H. E. Rieder: The influence of vegetation drought stress on formaldehyde and ozone distributions over a central European city, Atmospheric Environment, 304, 119768, https://doi.org/10.1016/j.atmosenv.2023.119768, 2023.
Wagner, W., R. Lindorfer, T. Melzer, S. Hahn, B. Bauer-Marschallinger, K. Morrison, J.-C. Calvet, S. Hobbs, R. Quast, I. Greimeister-Pfeil, M. Vreugdenhil: Widespread occurrence of anomalous C-band backscatter signals in arid environments caused by subsurface scattering, Remote Sensing of Environment, 276, 113025, https://doi.org/10.1016/j.rse.2022.113025, 2022.
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://doi.org/10.5194/gmd-13-3607-2020, 2020.
Zribi, M.; Albergel, C.; Baghdadi, N. Editorial for the Special Issue “Soil Moisture Retrieval using Radar Remote Sensing Sensors”. Remote Sens., 12, 1100, https://doi.org/10.3390/rs12071100, 2020.
Papers (2014-2019)
Albergel, C., Dutra, E., Bonan, B., Zheng, Y., Munier, S., Balsamo, G., de Rosnay, P., Munoz-Sabater, J., and Calvet, J.-C.: Monitoring and forecasting the impact of the 2018 summer heatwave on vegetation, Remote Sens., 11, 520, https://www.doi.org/10.3390/rs11050520, 2019.
Albergel, C., Dutra, E., Munier, S., Calvet, J.-C., Munoz-Sabater, J., de Rosnay, P., and Balsamo, G.: ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better?, Hydrol. Earth Syst. Sci., 22, 3515-3532, https://doi.org/10.5194/hess-22-3515-2018, 2018.
Albergel, C., S. Munier, A. Bocher, B. Bonan, C. Draper, E. Dutra, D. J. Leroux, A. L. Barbu, Y. Zhang, and J.-C. Calvet: 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, 1627, 24 pp., https://doi.org/10.3390/rs10101627, 2018.
Albergel, C., S. Munier, D. J. Leroux, H. Dewaele, D. Fairbairn, A. L. Barbu, E. Gelati, W. Dorigo, S. Faroux, C. Meurey, P. Le Moigne, B. Decharme, J.-F. Mahfouf, J.-C. Calvet: Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area, Geosci. Model Dev., Geosci. Model Dev., 10, 3889–3912, https://doi.org/10.5194/gmd-10-3889-2017, 2017.
Barbu, A.L., J.-C. Calvet, J.-F. Mahfouf, and S. Lafont: Integrating ASCAT surface soil moisture and GEOV1 leaf area index into the SURFEX modelling platform: a land data assimilation application over France, Hydrol. Earth Syst. Sci., 18, 173-192, https://doi.org/10.5194/hess-18-173-2014, 2014.
Blyverket, J., Hamer, P.D., Schneider, P., Albergel, C., Lahoz, W.A : Monitoring soil moisture drought over northern high latitudes from space, Remote Sens., 11, 1200, https://www.mdpi.com/2072-4292/11/10/1200, 2019.
Blyverket, J.; Hamer, P.D.; Bertino, L.; Albergel, C.; Fairbairn, D.; Lahoz, W.A. An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US. Remote Sens., 11, 478, https://doi.org/10.3390/rs11050478, 2019.
Calvet, J.-C., Fritz, N., Berne, C., Piguet, B., Maurel, W., and Meurey, C. : Deriving pedotransfer functions for soil quartz fraction in southern France from reverse modeling, SOIL, 2, 615-629, https://doi.org/10.5194/soil-2-615-2016, 2016.
Calvet, J.-C., P. de Rosnay, S. G. Penny: Editorial for the Special Issue “Assimilation of remote sensing data into Earth system models”, Remote Sens., 11, 2177; https://doi.org/10.3390/rs11182177, 2019.
Canal, N., J.-C. Calvet, B. Decharme, D. Carrer, S. Lafont, and G. Pigeon: Evaluation of root water uptake in the ISBA-A-gs land surface model using agricultural yield statistics over France, Hydrol. Earth Syst. Sci., 18, 4979–4999, https://doi.org/10.5194/hess-18-4979-2014, 2014.
Canal, N., O. Deudon, X. Le Bris, P. Gate, G. Pigeon, M. Regimbeau, J.-C. Calvet: Anticipation of the winter wheat growth based on seasonal weather forecasts over France, Meteorological Applications, 24, 432-443, https://doi.org/10.1002/met.1642, 2017.
Carrer, D., Meurey M., Ceamanos X., Roujean J.-L., Calvet J.-C. and Liu S.: Dynamic mapping of snow-free vegetation and bare soil albedos at global 1 km scale from 10-year analysis of MODIS satellite products, Remote Sens. Env., 140, 420-432, https://doi.org/10.1016/j.rse.2013.08.041, 2014.
Carrer, D., X. Ceamanos, B. Six, and J.-L. Roujean: AERUS-GEO: A newly vailable satellite-derived aerosol optical depth product over Europe and Africa, Geophys. Res. Lett., 41, 7731–7738, https://doi.org/10.1002/2014GL061707, 2014.
Carrer, D., Pique, G., Ferlicoq, M., Ceamanos, X., Planque, C., Ceschia, E.: What is the potential of cropland albedo management in the fight against global warming? A study case based on the use of cover crops, Environ. Res. Lett., 13, 044030, https://doi.org/10.1088/1748-9326/aab650, 2018.
Carrer, D., Moparthy, S., Lellouch, G., Ceamanos, X., Pinault, F., Freitas, S. C., and Trigo, I. F.: Land surface albedo derived on a ten daily basis from Meteosat Second Generation observations: the NRT and climate data record collections from the EUMETSAT LSA SAF, Remote Sensing, 10, 1262; https://doi.org/10.3390/rs10081262, 2018.
Carrer, D., X. Ceamanos, S. Moparthy, C. Vincent, S. Freitas, I.F. Trigo: Satellite retrieval of downwelling shortwave surface flux and diffuse fraction under all sky conditions in the Framework of the LSA SAF program (Part 1: Methodology). Remote Sens., 11, 2532, https://doi.org/10.3390/rs11212532, 2019.
Carrer, D., S. Moparthy, C. Vincent, X. Ceamanos, S. Freitas, I.F. Trigo: Satellite retrieval of downwelling shortwave surface flux and diffuse fraction under all sky conditions in the Framework of the LSA SAF program (Part 2: Evaluation). Remote Sens., 11, 2630, https://doi.org/10.3390/rs11222630, 2019.
Ceamanos, X., D. Carrer, and J.-L. Roujean: Improved retrieval of direct and diffuse downwelling surface shortwave flux in cloudless atmosphere using dynamic estimates of aerosol content and type: application to the LSA-SAF project, Atmospheric Chemistry and Physics, 14, 8209-8232, https://doi.org/10.5194/acp-14-8209-2014, 2014.
Ceamanos, X., D. Carrer, and J.-L. Roujean, An efficient approach to estimate the transmittance and reflectance of a mixture of aerosol components, Atmospheric Research, 137, 125-135, 2014.
Ceamanos, X.; Moparthy, S.; Carrer, D.; Seidel, F.C. Assessing the Potential of Geostationary Satellites for Aerosol Remote Sensing Based on Critical Surface Albedo. Remote Sens., 11, 2958, https://doi.org/10.3390/rs11242958, 2019.
Chan S., R. Bindlish, P. O’Neill, E. Njoku, T. Jackson, A. Colliander, F. Chen, M. Burgin, S. Dunbar, J. Piepmeier, S. Yueh, D. Entekhabi, M. Cosh, T. Caldwell, J. Walker, X. Wu, A. Berg, T. Rowlandson, A. Pacheco, H. McNairn, M. Thibeault, J. Martínez-Fernández, A. González-Zamora, M. Seyfried, D. Bosch, P. Starks, D. Goodrich, J. Prueger, M. Palecki, E. E. Small, M. Zreda, J.-C. Calvet, W. Crow, and Y. Kerr : Assessment of the SMAP Level 2 Passive Soil Moisture Product, IEEE Trans. Geosci. Remote Sens., 54 (8), 4994 - 5007, https://doi.org/10.1109/TGRS.2016.2561938, 2016.
Chan S. K., R. Bindlish, P. O’Neill, T. Jackson, E. Njoku, S. Dunbar, J. Chaubell, J. Piepmeier, S. Yueh, D. Entekhabi, A. Colliander, F. Chen, M. H. Cosh, T. Caldwell, J. Walker, A. Berg, H. McNairn, M. Thibeault, J. Martínez-Fernández, F. Uldall, M. Seyfried, D. Bosch, P. Starks, C. Holifield Collins, J. Prueger, R. van der Velde, J. Asanuma, M. Palecki, E. E. Small, M. Zreda, J.-C. Calvet, W. T. Crow, and Y. Kerr: Development and assessment of the SMAP enhanced passive soil moisture product, Remote Sensing of Environment, 204, 931-941, https://doi.org/10.1016/j.rse.2017.08.025, 2018.
Dewaele, H., Munier, S., Albergel, C., Planque, C., Laanaia, N., Carrer, D., and Calvet, J.-C. : Parameter optimisation for a better representation of drought by LSMs: inverse modelling vs. sequential data assimilation, Hydrol. Earth Syst. Sci., 21, 4861–4878, https://doi.org/10.5194/hess-21-4861-2017, 2017.
Ehsan Bhuiyan, M. A., Nikolopoulos, E. I., Anagnostou, E. N., Polcher, J., Albergel, C., Dutra, E., Fink, G., Martínez-de la Torre, A., and Munier, S.: Assessment of precipitation error propagation in multi-model global water resource reanalysis, Hydrol. Earth Syst. Sci., 23, 1973-1994, https://doi.org/10.5194/hess-23-1973-2019, 2019.
El Hajj, M., Baghdadi, N., Zribi, M., Rodríguez-Fernández, N., Wigneron, J.P., Al-Yaari, A., Al Bitar, A., Albergel, C., Calvet, J.-C: Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 soil moisture products at sites in southwestern France, Remote Sens., 10, 569, 17 pp., https://doi.org/10.3390/rs10040569, 2018.
El Hajj, M.; Baghdadi, N.; Wigneron, J.-P.; Zribi, M.; Albergel, C.; Calvet, J.-C.; Fayad, I. First Vegetation Optical Depth Mapping from Sentinel-1 C-band SAR Data over Crop Fields. Remote Sens. 2019, 11, https://doi.org/10.3390/rs11232769, 2019.
Fairbairn, D., Barbu, A.L., Mahfouf, J.-F., Calvet, J.-C., and Gelati, E.: Comparing the ensemble and extended Kalman filters for in situ soil moisture assimilation with contrasting conditions, Hydrol. Earth Syst. Sci., 19, 4811–4830, https://doi.org/10.5194/hess-19-4811-2015, 2015.
Fairbairn, D., Barbu, A. L., Napoly A., Albergel C., Mahfouf, J.-F., and Calvet, J.-C.: The effect of satellite-derived surface soil moisture and leaf area index land data assimilation on stramflow simulations over France, Hydrol. Earth Syst. Sci., https://doi.org/10.5194/hess-21-2015-2017, 21, 2015–2033, 2017.
Garrigues, S., A. Boone, B. Decharme, A. Olioso, C. Albergel, J.-C. Calvet, S. Moulin, S. Buis, and E. Martin: Impacts of the soil water transfer parametrization on the simulation of evapotranspiration over a 14-year Mediterranean crop succession. J. Hydrometeor., 19, 3-25, https://doi.org/10.1175/JHM-D-17-0058.1, 2018.
Gelati, E., Decharme, B., Calvet, J.-C., Minvielle, M., Polcher, J., Fairbairn, D., Weedon, G. P.: Hydrological assessment of atmospheric forcing uncertainty in the Euro-Mediterranean area using a land surface model, Hydrol. Earth Syst. Sci., 22, 2091-2115, https://doi.org/10.5194/hess-22-2091-2018, 2018.
Laanaia, N., Carrer, D., Calvet, J.-C., and Pagé, C.: How will climate change affect the vegetation cycle over France? A generic modeling approach, Climate Risk Management, https://doi.org/10.1016/j.crm.2016.06.001, 2016.
Leroux, D., J.-C. Calvet, S. Munier, and C. Albergel: Using satellite-derived vegetation products to evaluate LDAS-Monde over the Euro-Mediterranean area, Remote Sensing, 10, 1199, 21 pp., https://doi.org/10.3390/rs10081199, 2018.
Moparthy, S., Carrer, D., Ceamanos, X., 2019 : Can we detect the brownness or greenness of the Congo rinforest using satellite-derived surface albedo? A study on the role of aerosol uncertainties, Sustainability, 11, 1410, https://www.doi.org/10.3390/su11051410, 2019.
Munier, S., D. Carrer, C. Planque, F. Camacho, C. Albergel, and J.-C. Calvet: Satellite Leaf Area Index: global scale analysis of the tendencies per vegetation type over the last 17 years, Remote Sensing, 10, 424, 25 pp., https://doi.org/10.3390/rs10030424, 2018.
Parrens, M., J.-C. Calvet, P. de Rosnay, and B. Decharme: Benchmarking of L-band soil microwave emission models, Remote Sens. Env., 140, 407-419, https://doi.org/10.1016/j.rse.2013.09.017, 2014.
Parrens, M., J.-F. Mahfouf, A. Barbu, and J.-C. Calvet: Assimilation of surface soil moisture into a multilayer soil model: design and evaluation at local scale, Hydrol. Earth Syst. Sci., 18, 673-689, https://doi.org/10.5194/hess-18-673-2014, 2014.
Quast, R., C. Albergel, J.-C. Calvet, and W. Wagner: A generic first-order Radiative Transfer modelling approach for the inversion of soil- and vegetation parameters from scatterometer observations, Remote Sensing, 11, 285. https://www.mdpi.com/2072-4292/11/3/285, 2019.
Rodríguez-Fernández, N.; de Rosnay, P.; Albergel, C.; Richaume, P.; Aires, F.; Prigent, C.; Kerr, Y. SMOS Neural Network Soil Moisture Data Assimilation in a Land Surface Model and Atmospheric Impact. Remote Sens., 11, 1334, https://doi.org/10.3390/rs11111334, 2019.
Rodríguez-Fernández, N. J., Muñoz Sabater, J., Richaume, P., de Rosnay, P., Kerr, Y. H., Albergel, C., Drusch, M., and Mecklenburg, S.: SMOS near-real-time soil moisture product: processor overview and first validation results, Hydrol. Earth Syst. Sci., 21, 5201–5216, https://doi.org/10.5194/hess-21-5201-2017, 2017.
Ruti PM, Somot S, Giorgi F, Dubois C, Flaounas E, Obermann A, Dell’Aquila A, Pisacane G, Harzallah A, Lombardi E, Ahrens B, Akhtar N, Alias A, Arsouze T, Aznar R, Bastin S, Bartholy J, Béranger K, Beuvier J, Bouffies-Cloché S, Brauch J, Cabos W, Calmanti S, Calvet J-C, Carillo A, Conte D, Coppola E, Djurdjevic V, Drobinski P, Elizalde-Arellano A, Gaertner M, Galàn P, Gallardo C, Gualdi S, Goncalves M, Jorba O, Jordà G, L’Heveder B, Lebeaupin-Brossier C, Li L, Liguori G, Lionello P, Maciàs D, Nabat P, Onol B, Rajkovic B, Ramage K, Sevault F, Sannino G, Struglia MV, Sanna A, Torma C, Vervatis V (2016) : MED-CORDEX initiative for Mediterranean Climate studies, Bull. Amer. Meteor. Soc., 97 (7), 1187-1208, https://doi.org/10.1175/BAMS-D-14-00176.1, 2016
Séférian, R., C. Delire, B. Decharme, A. Voldoire, D. Salas y Mélia, M. Chevallier, D. Saint-Martin, J.-C. Calvet, D. Carrer, H. Douville, L. Franchistéguy, E. Joetzjer, and S. Sénési : Development and evaluation of CNRM Earth-System model – CNRM-ESM1, Geosci. Model Dev., 9, 1423–1453, 2016.
Shamambo, D. C., Bonan, B., Calvet, J.-C., Albergel, C., and Hahn, S.: Interpretation of radar ASCAT scatterometer observations over land: a case study over southwestern France, Remote Sens., 11, 2842, https://doi.org/10.3390/rs11232842, 2019.
Schellekens, J., E. Dutra, A. Martínez-de la Torre, G. Balsamo, A. van Dijk, F. Sperna Weiland, M. Minvielle, J.-C. Calvet, B. Decharme, S. Eisner, G. Fink, M. Flörke, S. Peßenteiner, R. van Beek, J. Polcher, H. Beck, R. Orth, B. Calton, S. Burke, W. Dorigo, and G. P. Weedon : A global water resources ensemble of hydrological models : the eartH2Observe Tier-1 dataset, Earth Syst. Sci. Data, 9, 389-413, https://doi.org/10.5194/essd-9-389-2017, 2017.
Stoffelen, A., S. Aaboe, J.-C. Calvet, J. Cotton, G. De Chiara, J. Figua-Saldana, A. A. Mouche, M. Portabella, K. Scipal, W. Wagner: Scientific developments and the EPS-SG scatterometer, IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens., 10 (5), 2086-2097, https://doi.org/10.1109/JSTARS.2017.2696424, 2017.
Su, Z., W. Timmermans, Y. Zeng, J. Schulz, V. O. John, R. A. Roebeling, P. Poli, D. Tan, F. Kaspar, A. Kaiser-Weiss, E. Swinnen, C. Toté, H. Gregow, T. Manninen, A. Riihelä, J.-C. Calvet, Y. Ma, and J. Wen: An overview of European efforts in generating climate data records, Bull. Amer. Meteor. Soc., 99, 349-359, https://doi.org/10.1175/BAMS-D-16-0074.1, 2018.
Szczypta, C., J.-C. Calvet, F. Maignan, W. Dorigo, F. Baret, and P. Ciais: Suitability of modelled and remotely sensed essential climate variables for monitoring Euro-Mediterranean droughts, Geosci. Model Dev., 7, 931–946, https://doi.org10.5194/gmd-7-931-2014, 2014.
Tall, M., Albergel, C., Bonan, B., Zheng, Y., Guichard, F., Dramé, M. S., Gaye, A. T., Sitondji, L. O., Hountondji, F. C. C., Nikiema, P. M., Calvet, J.-C.: Towards a long-term reanalysis of land surface variables over western Africa: LDAS-Monde applied over Burkina Faso from 2001 to 2018, Remote Sensing, 11, 735, https://www.doi.org/10.3390/rs11060735, 2019.
Xu, H., X. Ceamanos, J.-L. Roujean, D. Carrer, and Y. Xue: Can satellite-derived aerosol optical depth quantify the surface aerosol radiative forcing? Atmospheric Research, 150, 151-167, 2014.
Zhang, S., Roussel, N., Boniface, K., Ha, M. H., Frappart, F., Darrozes, J., Baup, F., and Calvet, J.-C. : Use of GNSS SNR data to retrieve either soil moisture or vegetation height from a wheat crop, Hydrol. Earth Syst. Sci., 21, 4767–4784, https://doi.org/10.5194/hess-21-4767-2017, 2017.
Zhang, S., Calvet, J.-C., Darrozes, J., Roussel, N., Frappart, F., Bouhours, G.: Deriving surface soil moisture from reflected GNSS signal observations over a grassland site in southwestern France, Hydrol. Earth Syst. Sci., 22, 1931–1946, https://doi.org/10.5194/hess-22-1931-2018, 2018.
Zhang, S., C. Meurey and J.-C. Calvet: Identification of soil-cooling rains in southern France from soil temperature and soil moisture observations, Atmos. Chem. Phys., 19, 5005–5020, 2019, https://doi.org/10.5194/acp-19-5005-2019, 2019.