ALBERGEL Clement


[fr]


Clément Albergel
Chargé de Recherche CNRS

****
Actuellement détaché à l’Agence Spatiale Européenne
ESA Climate Office
Science, Applications & Climate Dept
Directorate of Earth Observation Programmes
European Space Agency
Fermi Ave., Harwell Campus, Didcot
Oxfordshire, UK, OX11 0FD
****

CNRM (UMR 3589, CNRS & Météo-France)
GMME/VEGEO
Groupe de Météorologie à Moyenne Echelle
Végétation, Eau et Géophysique

42, Av. G. Coriolis
31057 Toulouse Cedex 1, France
Tél. +33 (0) 5 61 07 93 41
Fax +33 (0) 5 61 07 96 26

courriel : clement dot albergel at meteo dot fr

(CV.pdf)

 Encadrement et co-encadrement

Post-Doctorants :

Bonan Bertrand (02/2018-XX, financement CGLS puis STAE) et Zheng Yongjun (03/2018-XX, financement HSAF) : Assimilation de données pour les surfaces continentales dans la plateforme de modélisation SURFEX.

Arsene Druel (06/2018-12/2019) : mise en place de l’irrigation dans SURFEX (projet URCLIM)

Doctorants :

Daniel Shamambo, 2017-2020 : Assimilation de données satellitaires pour le suivi des ressources en eau dans la zone Euro-Méditerranée. Co-financement Région Occitanie / Météo-France - Soutenance 14/12/2020

Anthony Mucia, 2018-2021 : Assimilation de données satellites pour le suivi et la prévision des sécheresses agricoles et des ressources en eau. Co-financement MOPGA (Make Our Planet Great Again) / Météo-France

Comité de pilotage de thèse, Bertrand Cluzet (CEN, CNRM de Météo France), 2017-2020 : Application des approches d’ensemble à l’assimilation de données télédétectées dans des simulations numériques spatialisées du manteau neigeux saisonnier - Soutenance 11/12/2020

Comité de pilotage de thèse, Elhousseine Bouras (CESBIO) : Besoin en eau et production des céréales en Méditerranée du Sud : prévision saisonnière et impact des changements climatiques

Visiteurs Scientifiques :

Moustapha Tall, 06-2018 / 08-2018, 10-2018 / 12-2018, 06-2019 / 08-2019 : séjour scientifique dans le cadre sa thèse au LPAO (Dakar, Sénégal), financement via le programme WASCAL et le LMI ECLAIRS2 : mise en place et évaluation de réanalyses des conditions de surface en Afrique de l’ouest a partir de l’outil LDAS-Monde.

Stages :

Nizeyumuren Olivier, stage de M2 (Master des Sciences de l’Océan de l’Atmosphère et du Climat, UCBL, ECL), 09/04/2018-09/08/2018 : Intégration de l’information sur la végétation des mesures radar en bande C dans le modèle ISBA de Météo-France.

Aymeric Bocher, stage de seconde année d’école polytechnique, 13/06/2017-21/08/2017 : Analyse de l’impact de l’assimilation de données issues de la télédétection spatiale dans le modèle ISBA de Météo-France.

 Thèmes de recherche

Modélisation des surfaces continentales, assimilation de données et télédétection

 Projets

Coordonnateur du Projet POMME-V "Potentiel des Observations Micro-ondes dans les Modèles Eau-Végétation" financé par la fondation Sciences et Technologies pour l’Aéronautique et l’Espace (STAE). Collaboration CNRM/CESBIO/IMFT, INRA de Bordeaux et Maison de la télédétection de Montpellier, durée : 30 mois, 54 mois de contrats post-doctoral.

Implication dans les projets :
 ERA4CS URCLIM (http://www.jpi-climate.eu/nl/25223460-URCLIM.html), 12 mois de contrat post-doctoral.
 CREWS-Burkina, 6 mois de contrat post-doctoral (Atelier LDAS, 28-30 mai 2019, https://youtu.be/VfsbhUNKII0)

Activités Éditoriale

Membre du comité éditoriale de Remote Sensing of Environment : https://www.journals.elsevier.com/remote-sensing-of-environment/editorial-board

Membre du comité éditoriale de Remote Sensing :
https://www.mdpi.com/journal/remotesensing/editors

MDPI Remote Sensing Special Issue : "Data Assimilation of Satellite-Based Observations into Land Surface Models" : Lead Guest Editor
https://www.mdpi.com/journal/remotesensing/special_issues/LSM

MDPI Remote Sensing Special Issue : "Soil Moisture Retrieval using Radar Remote Sensing Sensors" : Guest Editor.
http://www.mdpi.com/journal/remotesensing/special_issues/radar_soil_moisture

MDPI Water Special Issue on "Monitoring and Predicting Soil Moisture and Drought Conditions" : Guest Editor.
http://www.mdpi.com/journal/water/special_issues/monitoring_soil_moisture

 Distinctions scientifiques

Lauréat du prix international 2019 pour le Développement de modèle décerné par le Programme mondial de recherche sur le climat et le Programme mondial de recherche météorologique (WCRP/WWRP)
https://www.wcrp-climate.org/wmac-activities/ipmd-2019

 Publications

Publications avec comités de lecture

# 2024 #

[105] Sitch, S., O’Sullivan, M., Robertson, E., Friedlingstein, P., Albergel, C., Anthoni, P., et al. (2024). Trends and drivers of terrestrial sources and sinks of carbon dioxide : An overview of the TRENDY project. Global Biogeochemical Cycles, 38, e2024GB008102. https://doi.org/10.1029/2024GB008102

[104] D. Jiang, I. Jones, X. Liu, S.G.H. Simis, J.-F. Cretaux, C. Albergel, A. Tyler, E. Spyrakos, Impacts of droughts and human activities on water quantity and quality : Remote sensing observations of Lake Qadisiyah, Iraq, International Journal of Applied Earth Observation and Geoinformation, Volume 132, 2024, 104021, ISSN 1569-8432, https://doi.org/10.1016/j.jag.2024.104021.

[103] Xu Shan, Susan Steele-Dunne, Sebastian Hahn, Wolfgang Wagner, Bertrand Bonan, Clement Albergel, Jean-Christophe Calvet, Ou Ku, Assimilating ASCAT normalized backscatter and slope into the land surface model ISBA-A-gs using a Deep Neural Network as the observation operator : Case studies at ISMN stations in western Europe, Remote Sensing of Environment, Volume 308, 2024, 114167, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2024.114167.

[102] Caroni, R. ; Pinardi, M. ; Free, G. ; Stroppiana, D. ; Parigi, L. ; Tellina, G. ; Bresciani, M. ; Albergel, C. ; Giardino, C. Investigating the Impact of Wildfires on Lake Water Quality Using Earth Observation Satellites. Appl. Sci. 2024, 14, 2626. https://doi.org/10.3390/app14062626

[101] Calamita, E., Lever, J.J., Albergel, C., Woolway, R.I. and Odermatt, D. (2024), Detecting climate-related shifts in lakes : A review of the use of satellite Earth Observation. Limnol Oceanogr. https://doi.org/10.1002/lno.12498

[100] T. M. Rosan, S. Sitch, M. O’Sullivan, L. S. Basso, C. Wilson, C. Silva, E. Gloor, D. Fawcett, V. Heinrich, J. G. Souza, F. G. S. Bezerra, C. von Randow, L. M. Mercado, L. Gatti, A. Wiltshire, P. Friedlingstein, J. Pongratz, C. Schwingshackl, M. Williams, L. Smallman, J. Knauer, V. Arora, D. Kennedy, H. Tian, W. Yuan, A. K. Jain, St. Falk, B. Poulter, A. Arneth, Q. Sun, S. Zaehle, A. P. Walker, E. Kato, X. Yue, A. Bastos, P. Ciais, J.-P. Wigneron, C. Albergel & L. E. O. C. Aragão Synthesis of the land carbon fluxes of the Amazon region between 2010 and 2020. Commun Earth Environ 5, 46 (2024). https://doi.org/10.1038/s43247-024-01205-0

[99] K. Tibrewal, P. Ciais, M. Saunois, A. Martinez, X. Lin, J. Thanwerdas, Z. Deng, F. Chevallier, C. Giron, C. Albergel, K. Tanaka, P. Patra, A. Tsuruta, B. Zheng, D. Belikov, Y. Niwa, R. Janardanan, S. Maksyutov, A. Segers, Z. A. Tzompa-Sosa, P. Bousquet & J. Sciare, Assessment of methane emissions from oil, gas and coal sectors across inventories and atmospheric inversions. Commun Earth Environ 5, 26 (2024). https://doi.org/10.1038/s43247-023-01190-w

# 2023 #

[98] Scherrer, S., De Lannoy, G., Heyvaert, Z., Bechtold, M., Albergel, C., El-Madany, T. S., and Dorigo, W. : Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe, Hydrol. Earth Syst. Sci., 27, 4087–4114, https://doi.org/10.5194/hess-27-4087-2023, 2023.

[97] Wang, H., Ciais, P., Sitch, S., Green, J. K., Tao, S., Fu, Z., Albergel, C., Bastos, A., Wang, M., Fawcett, D., Frappart, F., Li, X., Liu, X., Li, S., & Wigneron, J.-P. (2023). Anthropogenic disturbance exacerbates resilience loss in the Amazon rainforests. Global Change Biology, 00, e17006. https://doi.org/10.1111/gcb.17006

[96] Yin J., Zhan X., Barlage M., Kumar S., Fox A., Albergel C., Hain C.R., Ferraro R.R., Liu J., Assimilation of Blended Satellite Soil Moisture Data Products to Further Improve Noah-MP Model Skills (2023) Journal of Hydrology, 621, DOI : 10.1016/j.jhydrol.2023.129596.

[95] Madelon, R., Rodríguez-Fernández, N. J., Bazzi, H., Baghdadi, N., Albergel, C., Dorigo, W., and Zribi, M. : Soil moisture estimates at 1 km resolution making a synergistic use of Sentinel data, Hydrol. Earth Syst. Sci., 27, 1221–1242, https://doi.org/10.5194/hess-27-1221-2023, 2023.

[94] Pinardi Monica, Stroppiana Daniela, Caroni Rossana, Parigi Lorenzo, Tellina Giulio, Free Gary, Giardino Claudia, Albergel Clément, Bresciani Mariano : Assessing the impact of wildfires on water quality using satellite remote sensing : the Lake Baikal case study, Frontiers in Remote Sensing, 2023, 10.3389/frsen.2023.1107275, https://www.frontiersin.org/articles/10.3389/frsen.2023.1107275

[93] Laura Carrea, Jean-François Crétaux, Xiaohan Liu, Yuhao Wu, Beatriz Calmettes, Claude R. Duguay, Christopher J. Merchant, Nick Selmes, Stefan G. H. Simis, Mark Warren, Hervé Yesou, Dagmar Müller, Dalin Jiang, Owen Embury, Muriel Bergé-Nguyen & Clément Albergel, Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies. Sci Data 10, 30 (2023). https://doi.org/10.1038/s41597-022-01889-z

[92] Huan Wang, Jean-Pierre Wigneron, Philippe Ciais, Yitong Yao, Lei Fan, Xiangzhuo Liu, Xiaojun Li, Julia K. Green, Feng Tian, Shengli Tao, Wei Li, Frédéric Frappart, Clément Albergel, Mengjia Wang, Shuangcheng Li, Seasonal variations in vegetation water content retrieved from microwave remote sensing over Amazon intact forests, Remote Sensing of Environment, Volume 285,
2023, 113409, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2022.113409.

# 2022 #

[91] Fawcett, D., Sitch, S., Ciais, P., Wigneron, J. P., Silva-Junior, C. H. L., Heinrich, V., Vancutsem, C., Achard, F., Bastos, A., Yang, H., Li, X., Albergel, C., Friedlingstein, P., & Aragão, L. E. O. C. (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

[90] Druel, A., Munier, S., Mucia, A., Albergel, C., and Calvet, J.-C. : 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.

[89] Sujay Kumar, Jana Kolassa, Rolf Reichle, Wade Crow, Gabrielle de Lannoy, Patricia de Rosnay, Natasha MacBean, Manuela Girotto, Andy Fox, Tristan Quaife, Clara Draper, Barton Forman, Gianpaolo Balsamo, Susan Steele-Dunne, Clement Albergel, Bertrand Bonan, Jean-Christophe Calvet, Jianzhi Dong, Hannah Liddy, Benjamin Ruston (2022). 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

[88] Ana Bastos, Philippe Ciais, Stephen Sitch, Luiz E. O. C. Aragão, Frédéric Chevallier, Dominic Fawcett, Thais M. Rosan, Marielle Saunois, Dirk Günther, Lucia Perugini, Colas Robert, Zhu Deng, Julia Pongratz, Raphael Ganzenmüller, Richard Fuchs, Karina Winkler, Sönke Zaehle & Clément Albergel 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

[87] 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 (2022) 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. doi : 10.3389/frwa.2022.981745

[86] Gary Free, 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.

[85] van der Schalie, R., van der Vliet, M., Albergel, C., Dorigo, W., Wolski, P., and de Jeu, R. : Characterizing natural variability in complex hydrological systems using passive microwave-based climate data records : a case study for the Okavango Delta, Hydrol. Earth Syst. Sci., 26, 3611–3627, https://doi.org/10.5194/hess-26-3611-2022, 2022.

[84] Chuvieco, E., Roteta, E., Sali, M., Stroppiana, D., Boettcher, M., Kirches, G., Storm, T., Khairoun, A., Pettinari, M., L., Franquesa, M., Albergel, C., Building a small fire database for Sub-Saharan Africa from Sentinel-2 high-resolution images, Science of The Total Environment, Volume 845, 2022, 157139, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2022.157139.

[83] Xu Shan, Susan Steele-Dunne, Manuel Huber, Sebastian Hahn, Wolfgang Wagner, Bertrand Bonan, Clement Albergel, Jean-Christophe Calvet, Ou Ku, Sonja Georgievska, Towards constraining soil and vegetation dynamics in land surface models : Modeling ASCAT backscatter incidence-angle dependence with a Deep Neural Network, Remote Sensing of Environment, Volume 279, 2022, 113116, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2022.113116.

[82] Jansen, J., Woolway, R.I., Kraemer, B.M., Albergel, C., Bastviken, D., Weyhenmeyer, G.A., Marcé, R., Sharma, S., Sobek, S., Tranvik, L.J., Perroud, M., Golub, M., Moore, T.N., Råman Vinnå, L., La Fuente, S., Grant, L., Pierson, D.C., Thiery, W. and Jennings, E. (2022), Global increase in methane production under future warming of lake bottom waters. Glob Change Biol. Accepted Author Manuscript. https://doi.org/10.1111/gcb.16298

[81] 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.

[80] Nativel, S. ; Ayari, E. ; Rodriguez-Fernandez, N. ; Baghdadi, N. ; Madelon, R. ; Albergel, C. ; Zribi, M. Hybrid Methodology Using Sentinel-1/Sentinel-2 for Soil Moisture Estimation. Remote Sens. 2022, 14, 2434. https://doi.org/10.3390/rs14102434

[79] Deng, Z., Ciais, P., Tzompa-Sosa, Z. A., Saunois, M., Qiu, C., Tan, C., Sun, T., Ke, P., Cui, Y., Tanaka, K., Lin, X., Thompson, R. L., Tian, H., Yao, Y., Huang, Y., Lauerwald, R., Jain, A. K., Xu, X., Bastos, A., Sitch, S., Palmer, P. I., Lauvaux, T., d’Aspremont, A., Giron, C., Benoit, A., Poulter, B., Chang, J., Petrescu, A. M. R., Davis, S. J., Liu, Z., Grassi, G., Albergel, C., Tubiello, F. N., Perugini, L., Peters, W., and Chevallier, F. : Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions, Earth Syst. Sci. Data, 14, 1639–1675, https://doi.org/10.5194/essd-14-1639-2022, 2022.

[78] Maina, F.Z., Kumar, S.V., Albergel, C. et al. Warming, increase in precipitation, and irrigation enhance greening in High Mountain Asia. Commun Earth Environ 3, 43 (2022). https://doi.org/10.1038/s43247-022-00374-0

[77] Woolway, R. I., Albergel, C., Frölicher, T. L., & Perroud, M. (2022). Severe lake heatwaves attributable to human-induced global warming. Geophysical Research Letters, 49, e2021GL097031. https://doi.org/10.1029/2021GL097031

# 2021 #

[76] Woolway R., I., Kraemer B., M., Zscheischler J. and C. Albergel (2021), Compound hot temperature and high chlorophyll extreme events in global lakes Environ. Res. Lett. in press, https://doi.org/10.1088/1748-9326/ac3d5a

[75] 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.

[74] Woolway, R.I. , Anderson, E.J., Albergel, C. (2021). Rapidly expanding lake heatwaves under climate change, Environ. Res. Lett. in press https://doi.org/10.1088/1748-9326/ac1a3a

[73] Nogueira, M., Boussetta, S., Balsamo, G., Albergel, C., Trigo, I. F., Johannsen, F., et al. (2021). Upgrading land-cover and vegetation seasonality in the ECMWF coupled system : Verification with FLUXNET sites, METEOSAT satellite land surface temperatures, and ERA5 atmospheric reanalysis. Journal of Geophysical Research : Atmospheres, 126, e2020JD034163. https://doi.org/10.1029/2020JD034163

[72] 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.

[71] 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.

[70] 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. 2021, 13, 553. https://doi.org/10.3390/rs13040553

[69] J. Peng, 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. W., A. Loew, A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements,, Remote Sensing of Environment, 2020, 112162, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2020.112162., (http://www.sciencedirect.com/science/article/pii/S0034425720305356)

# 2020 #
[68] Bouras, E. ; Jarlan, L. ; Er-Raki, S. ; Albergel, C. ; Richard, B. ; Balaghi, R. ; Khabba, S. Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System : A Case Study in Morocco. Remote Sens. 2020, 12, 4018.

[66] Tramblay, Y., A. Koutroulis, L. Samaniego, S. M. Vicente-Serrano, F. Volaire, A. Boone, M. Le Page, M. C. Llasat, C. Albergel, S. Burak, M. Cailleret, K. C. Kalin, H. Davi, J.-L. Dupuy, P. Greve, M. Grillakis, L. Hanich, L. Jarlan, N. Martin-StPaul, J. Martínez-Vilalta, F. Mouillot, D. Pulido-Velazquez, P. Quintana-Seguí, D. Renard, M. Turco, M. Türkeş, R. Trigo, J.-P. Vidal, A. Vilagrosa, M. Zribi, J. Polcher, Challenges for drought assessment in the Mediterranean region under future climate scenarios, Earth-Science Reviews, Volume 210, 2020, 103348, ISSN 0012-8252, https://doi.org/10.1016/j.earscirev.2020.103348

[65] 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.

[64] 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.

[63] 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.

[62] A. Gruber, 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, Volume 244, 2020, 111806, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2020.111806.

[61] 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, 2020.

[60] Zribi, M. ; Albergel, C. ; Baghdadi. N., Editorial for the Special Issue “Soil Moisture Retrieval using Radar Remote Sensing Sensors”. Remote Sensing, MDPI, 2020, 12 (7), pp.1100.

[59] Foucras, M. ; Zribi, M. ; Albergel, C. ; Baghdadi, N. ; Calvet, J.-C. ; Pellarin, T. Estimating 500-m Resolution Soil Moisture Using Sentinel-1 and Optical Data Synergy. Water 2020, 12, 866.

[58] 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.

[57] Patricia de Rosnay, Joaquín Muñoz-Sabater, Clément Albergel, Lars Isaksen, Stephen English, Matthias Drusch, Jean-Pierre Wigneron, SMOS brightness temperature forward modelling and long term monitoring at ECMWF, Remote Sensing of Environment, Volume 237, 2020, 111424, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2019.111424. https://www.sciencedirect.com/science/article/pii/S0034425719304432

# 2019 #

[56] Shamambo, D.C. ; Bonan, B. ; Calvet, J.-C. ; Albergel, C. ; Hahn, S. Interpretation of ASCAT Radar Scatterometer Observations Over Land : A Case Study Over Southwestern France. Remote Sens. 2019, 11(23), 2842 ; https://doi.org/10.3390/rs11232842

[55] 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(23), 2769 ; https://doi.org/10.3390/rs11232769

[54] Muñoz‐Sabater, J. , Lawrence, H. , Albergel, C. , de Rosnay, P. , Isaksen, L. , Mecklenburg, S. , Kerr, Y. and Drusch, M. (2019), Assimilation of SMOS brightness temperatures in the ECMWF Integrated Forecasting System. Q J R Meteorol Soc. Accepted Author Manuscript. doi:10.1002/qj.3577

[53] 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. 2019, 11, 1334.

[52] Blyverket, J. ; Hamer, P.D. ; Schneider, P. ; Albergel, C. ; Lahoz, W.A. Monitoring Soil Moisture Drought over Northern High Latitudes from Space. Remote Sens. 2019, 11, 1200.

[51] 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.

[50] Tall, M. ; Albergel, C. ; Bonan, B. ; Zheng, Y. ; Guichard, F. ; Dramé, M.S. ; Gaye, A.T. ; Sintondji, 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 Sens. 2019, 11, 735.

[49] Albergel, C. ; Dutra, E. ; Bonan, B. ; Zheng, Y. ; Munier, S. ; Balsamo, G. ; de Rosnay, P. ; Muñoz-Sabater, J. ; Calvet, J.-C. Monitoring and Forecasting the Impact of the 2018 Summer Heatwave on Vegetation. Remote Sens. 2019, 11(5), 520 ; https://doi.org/10.3390/rs11050520.

[48] 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. 2019, 11(5), 478 ; https://doi.org/10.3390/rs11050478

[47] Quast, R. ; Albergel, C. ; Calvet, J.-C. ; Wagner, W. A Generic First-Order Radiative Transfer Modelling Approach for the Inversion of Soil and Vegetation Parameters from Scatterometer Observations. Remote Sens. 2019, 11(3), 285 ; https://doi.org/10.3390/rs11030285

# 2018 #

[46] Balsamo, G. ; Agusti-Panareda, A. ; Albergel, C. ; Arduini, G. ; Beljaars, A. ; Bidlot, J. ; Bousserez, N. ; Boussetta, S. ; Brown, A. ; Buizza, R. ; Buontempo, C. ; Chevallier, F. ; Choulga, M. ; Cloke, H. ; Cronin, M.F. ; Dahoui, M. ; De Rosnay, P. ; Dirmeyer, P.A. ; Dutra, M.D.E. ; Ek, M.B. ; Gentine, P. ; Hewitt, H. ; Keeley, S.P.E. ; Kerr, Y. ; Kumar, S. ; Lupu, C. ; Mahfouf, J.-F. ; McNorton, J. ; Mecklenburg, S. ; Mogensen, K. ; Muñoz-Sabater, J. ; Orth, R. ; Rabier, F. ; Reichle, R. ; Ruston, B. ; Pappenberger, F. ; Sandu, I. ; Seneviratne, S.I. ; Tietsche, S. ; Trigo, I.F. ; Uijlenhoet, R. ; Wedi, N. ; Woolway, R.I. ; Zeng, X. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling : A Review. Remote Sens. 2018, 10(12), 2038 ; https://doi.org/10.3390/rs10122038

[45] Albergel, C. ; Munier, S. ; Bocher, A. ; Bonan, B. ; Zheng, Y. ; Draper, C. ; Leroux, D.J. ; Calvet, J.-C. LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US : An ERA-5 Driven Reanalysis of the Land Surface Variables. Remote Sens. 2018, 10, 1627. https://www.mdpi.com/2072-4292/10/10/1627

[44] Leroux, D.J. ; Calvet, J.-C. ; Munier, S. ; Albergel, C. Using Satellite-Derived Vegetation Products to Evaluate LDAS-Monde over the Euro-Mediterranean Area. Remote Sens. 2018, 10, 1199.

[43] Muñoz-Sabater, J. ; de Rosnay, P. ; Albergel, C. ; Isaksen, L. Sensitivity of Soil Moisture Analyses to Contrasting Background and Observation Error Scenarios. Water 2018, 10, 890.

[42] 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.

[41] 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. 2018, 10, 569.

[40] Munier, S. ; Carrer, D. ; Planque, C. ; Camacho, F. ; Albergel, C. ; Calvet, J.-C. Satellite Leaf Area Index : Global Scale Analysis of the Tendencies Per Vegetation Type Over the Last 17 Years. Remote Sens. 2018, 10, 424.

# 2017 #

[39] Albergel, C., Munier, S., Leroux, D. J., Dewaele, H., Fairbairn, D., Barbu, A. L., Gelati, E., Dorigo, W., Faroux, S., Meurey, C., Le Moigne, P., Decharme, B., Mahfouf, J.-F., and Calvet, J.-C. : 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., 10, 3889-3912, https://doi.org/10.5194/gmd-10-3889-2017, 2017.
[38] Garrigues, S., A. Boone, B. Decharme, A. Olioso, C. Albergel, J. Calvet, S. Moulin, S. Buis, and E. Martin, 2017 : Impacts of the Soil Water Transfer Parametrization on the Simulation of Evapotranspiration over a 14-Year Mediterranean Crop Succession. J. Hydrometeor. doi:10.1175/JHM-D-17-0 058. in press.
[37] 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.
[36] 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.
[35] Dorigo, W., Wagner, W., Albergel, C. et al. : ESA CCI Soil Moisture for improved Earth system understanding : State-of-the art and future directions, Remote Sensing of Environment (2017), http://dx.doi.org/10.1016/j.rse.2017.07.001
[34] 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 streamflow simulations over France, Hydrol. Earth Syst. Sci., 21, 2015-2033, doi:10.5194/hess-21-2015-2017, 2017.

# 2016 #

[33] Su, C.-H., D. Ryu, W. A. Dorigo, S. Zwieback, A. Gruber, C. Albergel, R. H. Reichle, and W. Wagner (2016), Homogeneity of a global multi-satellite soil moisture climate data record, Geophys. Res. Lett., 43, doi:10.1002/2016GL070458.

# 2015 #

[32] Albergel C., E. Dutra, J. Muñoz-Sabater, T. Haiden, G. Balsamo, A. Beljaars, L. Isaksen, P. de Rosnay, I. Sandu, N. Wedi : "Soil temperature at ECMWF : an assessment using ground based observations", J. Geophys. Res., 2015 doi : 10.1002/2014JD022505
[31] Dorigo, W.A., Gruber, A., De Jeu, R.A.M., Wagner, W., Stacke, T., Loew, A., Albergel, C., Brocca, L., Chung, D., Parinussa, R.M., Kidd, R. : Evaluation of the ESA CCI soil moisture product using ground-based observations. Remote Sensing of Environment, 2015 ; doi : 10.1016/j.rse.2014.07.023.
[30] Balsamo G., C. Albergel, A. Beljaars, S. Boussetta, H. L. Cloke, D. Dee, E. Dutra, J. Muñoz-Sabater, F. Pappenberger, P. De Rosnay, T. Stockdale, and F. Vitart : ERA-Interim/Land : A global land water resources dataset, Hydrol and Earth Sci Syst., 19, pp 389-407, 2015 doi : 10.5194/hessd-10-14705-2013.
[29] Massari C., L. Brocca, L. Ciabatta, T. Moramarco, S. Gabellani, C. Albergel, P. de Rosnay, S. Puca and W. Wagner : The use of H-SAF soil moisture products for operational hydrology : flood modelling over Italy, Hydrology, 2(1), pp2-22, 2015 doi : doi:10.3390/hydrology2010002
[28] Boussetta, S., G. Balsamo, E. Dutra, A. Beljaars and C. Albergel : Analysis of surface albedo and Leaf Area Index from satellite observations and their impact on numerical weather prediction, Remote Sensing of Environment, doi:10.1016/j.rse.2015.03.009

# 2014 #

[27] Alyaari A., Wigneron J.-P., Ducharne A., Kerr Y., de Rosnay P., de Jeu R., Govind A., Albitar A., Albergel C., Muñoz-Sabater J., Richaume P., Mialon A. : Global- scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates, Remote Sensing of Environment, 149, pp 181-195, 2014, doi : 10.1016/j.rse.2014.04.006
[26] Muñoz-Sabater J., P. de Rosnay, C. Jiménez, L. Isaksen and C. Albergel : SMOS brightness temperatures angular noise : characterization, filtering and validation. IEEE Transactions on Geoscience and Remote Sensing, 52, (9), pp 5827-5839, 2014, doi:10.1109/TGRS.2013.2293200.

# 2013 #

[25] Albergel, C, W. Dorigo, G. Balsamo, J. Munoz-Sabater, P. de Rosnay, L. Isaksen, L. Brocca, R. de Jeu, and W. Wagner, 2013 : Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses. 11/2013 ; 138:77-89. DOI:10.1016/j.rse.2013.07.009.
[24] Albergel, C, W. Dorigo, R. H. Reichle, G. Balsamo, P. de Rosnay, J. Munoz-Sabater, L. Isaksen, R. de Jeu, and W. Wagner, 2013 : Skill and global trend analysis of soil moisture from reanalyses and microwave remote sensing, J. Hydrometeor., 14, 1259–1277, doi:10.1175/JHM-D-12-0161.1.
[23] Albergel, C., L. Brocca, W. Wagner, P. de Rosnay & J.-C. Calvet : Selection of performance metrics for global soil moisture products : The case of ASCAT soil moisture product. DOI:10.1201/b15610-22 ISBN : 978-1-4665-0578-0 In book : Remote Sensing of Energy Fluxes and Soil Moisture Content, Chapter : 18, Publisher : CRC Press, Editors : George P . Petropoulos, pp.427-444.
[22] Wagner, W., S. Hahn, J. Figa, C. Albergel, P. de Rosnay, L. Brocca, R. de Jeu, S. Hasenauer & W. Dorigo : Operations, challenges and prospects of satellite based surface soil moisture data services. DOI:10.1201/b15610-25 ISBN : 978-1-4665-0578-0 In book : Remote Sensing of Energy Fluxes and Soil Moisture Content, Chapter : 20, Publisher : CRC Press, Editors : George P . Petropoulos, pp.463-488.
[21] L. Brocca, F. Melone, T. Moramarco, W. Wagner & C. Albergel : Scaling and filtering techniques for the optimal use of satellite soil moisture observations. DOI:10.1201/b15610-21 ISBN : 978-1-4665-0578-0 In book : Remote Sensing of Energy Fluxes and Soil Moisture Content, Chapter : 17, Publisher : CRC Press, Editors : George P . Petropoulos, pp.411-426.
[20] de Rosnay, P., Drusch, M., Vasiljevic, D., Balsamo, G., Albergel, C., Isaksen, L. : A simplified Extended Kalman Filter for the global operational soil moisture analysis at ECMWF. Quarterly Journal of the Royal Meteorological Society, 139(674):1199-1213, 2013, doi : 10.1002/qj.2023.
[19] de Rosnay, P., Balsamo, G., Albergel, C., J. Muñoz-Sabater, Isaksen, L., 2013 : Initialisation of land surface variables for Numerical Weather Prediction, Surv. Geophys., doi:10.1007/s10712-012-9207-x, 15 pp.

# 2012 #

[18] Albergel, C., P. de Rosnay, G. Balsamo, L. Isaksen, J. Muñoz-Sabater, 2012 : Soil Moisture Analyses at ECMWF : Evaluation Using Global Ground-Based In Situ Observations. J. Hydrometeor, 13, 1442–1460. doi : http://dx.doi.org/10.1175/JHM-D-11-0107.1
[17] Albergel, C., G. Balsamo, P. de Rosnay, J. Muñoz-Sabater, and S. Boussetta, 2012 : A bare ground evaporation revision in the ECMWF land-surface scheme : evaluation of its impact using ground soil moisture and satellite microwave data. Hydrol. Earth Syst. Sci., 16, 3607-3620, 2012, doi:10.5194/hess-16-3607-2012. http://www.hydrol-earth-syst-sci.net/16/3607/2012/hess-16-3607-2012.html
[16] Albergel C., P. de Rosnay, C. Gruhier, J. Muñoz-Sabater, S. Hasenauer, L. Isaksen, Y. Kerr & W. Wagner : Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations, Remote Sensing of Environment, 10.1016/j.rse.2011.11.017, 118, 215–226, 2012.
[15] E. Zakharova, J.-C. Calvet, S. Lafont, C. Albergel, J.-P. Wigneron, M. Pardé, Y. Kerr, and M. Zribi : Spatial and temporal variability of biophysical variables in southwestern France from airborne L-band radiometry, Hydrol. Earth Syst. Sci., 16, 1725-1743, doi:10.5194/hess-16-1725-2012, 2012. http://www.hydrol-earth-syst-sci.net/16/1725/2012/hess-16-1725-2012.html

# 2011 #

[14] Albergel, C., E. Zakharova, J.-C. Calvet, M. Zribi, M. Pardé, J.-P. Wigneron, N. Novello, Y. Kerr, A. Mialon and N. Fritz : A first assessment of the SMOS data in southwestern France using in situ and airborne soil moisture estimates : the CAROLS airborne campaign. Remote sensing of environment, 115, 2718-2728, doi:10.1016/j.rse.2011.06.012, 2011.
[13] Mattar, C., Wigneron, J.-P., Sobrino, J.A., Novello, N., Calvet, J.-C., Albergel, C., Richaume, P., Mialon, A., Guyon, D., Jiménez-Muñoz, J.C. and Kerr, Y. : A combined optimal microwave method to retrieve soil moisture over vegetated areas. IEEE Trans. Geosci. Remote. Sens., 50, 5, 10.1109/TGRS.2011.2179051, 1404-1413.
[12] M. Pardé, M. Zribi, J.-P. Wigneron, M. Dechambre, P. Fanise, Y. Kerr, M. Crapeau, K. Saleh, J.-C. Calvet, C. Albergel, A. Mialon and N. Novello : Soil moisture estimations based on airborne CAROLS L-band microwave data, Remote Sens. 2011, 3(12), 2591-2604 ; doi:10.3390/rs3122591. http://www.mdpi.com/2072-4292/3/12/2591/
[11] A.L. Barbu, J.-C. Calvet, J.-F. Mahfouf, C. Albergel and S. Lafont Assimilation of Soil Wetness Index and Leaf Area Index into the ISBA-A-gs land surface model : grassland case study. Biogeosciences, 8, 1971-1986, 2011. www.biogeosciences.net/8/1971/2011/doi:10.5194/bg-8-1971-2011
[10] Calvet, J.-C., Wigneron, J.-P., Walker, J., Karbou, F., Chanzy, A and Albergel, C. : Sensitivity of passive microwave observations to soil moisture and vegetation water content : L-band to W-band. IEEE Trans. Geosci. Remote. Sens., 49, 4, 1190-1199 doi : 10.1109/TGRS.2010.2050488, 2011.
[9] Szczypta, C., Calvet, J.-C., Albergel, C., Balsamo, G., Boussetta, S., Carrer, D., Lafont, S., and Meurey, C. : Verification of the new ECMWF ERA-Interim reanalysis over France, Hydrol. Earth Syst. Sci., 15, 647-666, doi:10.5194/hess-15-647-2011, 2011.
http://www.hydrol-earth-syst-sci.net/15/647/2011/
[8] Zribi, M., Pardé, M., Boutin, J., Fanise, P., Hauser, D., Dechambre, M., Kerr, Y., Leduc-Leballeur, M., Skou, M., Søbjærg, S.S., Albergel, C., Calvet, J.-C., Wigneron, J.-P., Lopez-Baeza, E., Saleh, K., Ruis, A. and Tenerelli, J. : Land and ocean calibration and validation of SMOS : the CAROLS airborne campaigns, Sensors, 11, 719-742, doi:10.3390/s110100719, 2011.

# 2010 #

[7] Albergel, C., J.-C. Calvet, P. de Rosnay, G. Balsamo, W. Wagner, S. Hasenauer, V. Naemi, E. Martin, E. Bazile F. Bouyssel, and Mahfouf, J.-F. : Cross-evaluation of modelled and remotely sensed surface soil moisture with in situ data in southwestern France, Hydrol. Earth Syst. Sci., 14, 2177-2191, doi:10.5194/hess-14-2177-2010, 2010. http://www.hydrol-earth-syst-sci.net/14/2177/2010/hess-14-2177-2010.pdf
[6] Albergel, C., Calvet J.-C., Mahfouf J.-F., Rüdiger C., Barbu A.L., Lafont S., Roujean J.-L., Walker J.P., Crapeau M., Wigneron J.-P. : Monitoring of water and carbon fluxes using a land data assimilation system : a case study for southwestern France. Hydrol. Earth Syst. Sci., 14, 1109-1124, doi:10.5194/hess-14-1109-2010, 2010. http://www.hydrol-earth-syst-sci.net/14/1109/2010/hess-14-1109-2010.pdf
[5] Albergel, C., Calvet J.-C., Gibelin A.-L., Lafont S., Roujean J.-L., Berne C., Traullé, O., and Fritz N. : Observed and modelled gross primary production and ecosystem respiration of a grassland in southwestern France. Biogeosciences, 7, 1657-1668, doi:10.5194/bg-7-1657-2010, 2010. http://www.biogeosciences.net/7/1657/2010/bg-7-1657-2010.pdf
[4] Rüdiger, C., Albergel, C., Mahfouf, J.-F., Calvet, J.-C. and Walker J.P. : Evaluation of Jacobians for Leaf Area Index Data Assimilation with an Extended Kalman Filter, J. Geophys. Res., 115, D09111, doi:10.1029/2009JD012912, 2010.

# 2009 #

[3] Albergel, C., Rüdiger, C., Carrer, D., Calvet, J.-C., Fritz, N., Naeimi, V., Bartalis, Z., and Hasenauer, S. : An evaluation of ASCAT surface soil moisture products with in-situ observations in southwestern France. Hydrol. Earth Syst. Sci., 13, 115-124, doi:10.5194/hess-13-115-2009, 2009. http://www.hydrol-earth-syst-sci.net/13/115/2009/hess-13-115-2009.html
[2] Brut, A., Rüdiger, C., Lafont, S., Roujean, J.-L., Calvet, J.-C., Jarlan, L., Gibelin, A.-L., Albergel, C., Le Moigne, P., Soussana, J.-F., Klumpp, K., Guyon, D., Wigneron, J.-P., and Ceschia, E. : Modelling LAI at a regional scale with ISBA-A-gs : comparison with satellite-derived LAI over southwestern France, Biogeosciences, 6, 1389-1404, doi:10.5194/bgd-6-4059-2009 2009. http://www.biogeosciences.net/6/1389/2009/bg-6-1389-2009.html

# 2008 #

[1] Albergel, C., Rüdiger, C., Pellarin, T., Calvet, J.-C., Fritz, N., Froissard, F., Suquia, D., Petitpa, A., Piguet, B. and Martin E. : From near-surface to root-zone soil moisture using an exponential filter : an assessment of the method based on in-situ observations and model simulations. Hydrol. Earth Syst. Sci., 12, 1323–1337, doi:10.5194/hess-12-1323-2008, 2008. www.hydrol-earth-syst-sci.net/12/1323/2008/

Autres publications / proceedings

Rapports / livres

 Jury de thèse

Jordi Etchanchu : Apport des données de télédétection a haute résolution et haute répétitivité dans la modélisation hydrométéorologique. PhD thesis, CESBIO, Toulouse, France, 12 décembre 2019

Brecht Martens : Magnitude and variability of terrestrial evaporation from satellites and climate reanalyses. PhD thesis, Ghent University, Belgium, 10th of December 2019



Le contenu de cette page n’engage que son auteur et en aucune manière la responsabilité du CNRM-GAME.


Voir en ligne : Clement Albergel on Research Gate