Scientific papers: Mirebeau, A., de Munck, C., Bonan, B., Delire, C., Lemonsu, A., Masson, V., and Weber, S.: Modelling extensive green roof CO2 exchanges in the Town Energy Balance urban canopy model, Geoscientific Model Development, 18, 5329–5349, https://doi.org/10.5194/gmd-18-5329-2025, 2025. Barthelemy, S., Bonan, B., Tomas-Burguera, M., Grandjean, G., Bernardie, S., Naulin, J.-P., Le Moigne, P., Boone, A., and Calvet, J.-C.: Analysis of past and future droughts causing clay shrinkage in France, Hydrology and Earth System Sciences, 29, 2321–2337, https://doi.org/10.5194/hess-29-2321-2025, 2025 Liu, E., Zhu, Y., Lü, H., Bonan, B., Munier, S., and Calvet, J.-C.: Impact of leaf area index assimilation and gauge-corrected precipitation on land surface variables in LDAS-Monde: a case study over China, Journal of Hydrology, 659, 133304, https://doi.org/10.1016/j.jhydrol.2025.133304, 2025. Liu, E., Zhu, Y., Calvet, J.-C., Lü, H., Bonan, B., Zheng, J., Gou, Q., Wang, X., Ding, Z., Xu, H., Pan, Y., and Chen, T.: Evaluation of root zone soil moisture products over the Huai River basin, Hydrology and Earth System Sciences, 28, 2375–2400, https://doi.org/10.5194/hess-28-2375-2024, 2024. Shan, X., Steele-Dunne, S., Hahn, S., Wagner, W., Bonan, B., Albergel, C., Calvet, J.-C., and Ku, O.: 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, 308, 114167, https://doi.org/10.1016/j.rse.2024.114167, 2024 Rojas-Munoz, O., Calvet, J.-C., Bonan, B., Baghdadi, N., Meurey, C., Napoly, A., Wigneron, J.-P., and Zribi, M: Soil moisture monitoring at kilometer scale: Assimilation of Sentinel-1 products in ISBA, Remote Sensing, 15, 4329, https://doi.org/10.3390/rs15174329, 2023 Corchia, T., Bonan, B., Rodríguez-Fernández, N., Colas, G., and Calvet, J.-C: Assimilation of ASCAT radar backscatter coefficients over Southwestern France, Remote Sensing, 15, 4258, https://doi.org/10.3390/rs15174258, 2023 Trimmel, H., Hamer, P., Mayer, M., Schreier, S. F., Weihs, P., Eitzinger, J., Sandén, H., Fitzky, A. C., Richter, A., Calvet, J.-C., Bonan, B., Meurey, C., Vallejo, I., Eckhardt, S., Sousa Santos, G., Oumami, S., Arteta, J., Marécal, V., Tarrasón, L., Karl, T., and Rieder, H. E.: 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 Kumar, S., Kolassa, J., Reichle, R., Crow, W., de Lannoy, G., de Rosnay, P., MacBean, N., Girotto, M., Fox, A., Quaife, T., Draper, C., Forman, B., Balsamo, G., Steele-Dunne, S., Albergel, C., Bonan, B., Calvet, J.-C., Dong, J., Liddy, H., and Ruston, B.: 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 Shan, X., Steele-Dunne, S., Huber, M., Hahn, S., Wagner, W., Bonan, B., Albergel, C., Calvet, J.-C., Ku, O., and Georgievska, S.: 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, 279, 113116, https://doi.org/10.1016/j.rse.2022.113116, 2022 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 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, Hydrology and Earth System Sciences, 24, 4291–4316, https://doi.org/10.5194/hess-24-4291-2020, 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, Geoscientific Model Development, 13, 3607–3625, https://doi.org/10.5194/gmd-13-3607-2020, 2020 Mucia, A., Bonan, B., Zheng, Y., Albergel, C., and Calvet, J.-C.: From monitoring to forecasting land surface conditions using a Land Data Assimilation System: Application over the Contiguous United States, Remote Sensing, 12, 2020, http://doi.org/10.3390/rs12122020, 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, Hydrology and Earth System Sciences, 24, 325–347, https://doi.org/10.5194/hess-24-325-2020, 2020 Shamambo, D. C., Bonan, B., Calvet, J.-C., Albergel, A., and Hahn, S.: Interpretation of ASCAT radar scatterometer observations over land: A case study over Southwestern France, Remote Sensing, 11, 2842, http://doi.org/10.3390/rs11232842, 2019 Tall, M., Albergel, C., Bonan, B., Zheng, Y., Guichard, F., Simina Dramé, M., Thierno Gaye, A., Sintondji, L. O., Hountdondji, F. C. C., Nikiema, P. M., and 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, http://doi.org/10.3390/rs11060735, 2019 Albergel, C., Dutra, E., Bonan, B., Zheng, Y., Munier, S., Balsamo, G., de Rosnay, P., Muñoz-Sabater, J., and Calvet, J.-C.: Monitoring and forecasting the impact of the 2018 Summer heatwave on vegetation, Remote Sensing, 11, 520, http://doi.org/10.3390/rs11050520, 2019 Albergel, C., Munier, S., Bocher, A., Bonan, B., Zheng, Y., Draper, C., Leroux, D. J., and 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 Sensing, 10, 1627, http://doi.org/10.3390/rs10101627, 2018 Bonan, B., Nichols, N. K., Baines, M. J., and Partridge, D.: Data assimilation for moving mesh methods with an application to ice sheet modelling, Nonlinear Processes in Geophysics, 24, 515–534, https://doi.org/10.5194/npg-24-515-2017, 2017 Bonan, B., Baines, M. J., Nichols, N. K., and Partridge, D.: A moving-point approach to model shallow ice sheets: a study case with radially symmetrical ice sheets, The Cryosphere, 10, 1–14, https://doi.org/10.5194/tc-10-1-2016, 2016 Bonan, B., Nodet, M., Ritz, C., and Peyaud, V.: An ETKF approach for initial state and parameter estimation in ice sheet modelling, Nonlinear Processes in Geophysics, 21, 569–582, https://doi.org/10.5194/npg-21-569-2014, 2014 Book chapters: Jarlan, J., Albergel, C., Bonan, B., Calvet, J.-C., de Rosnay, P., Ottlé, C., and Peylin, P.: Assimilation de données de télédétection pour le suivi des surfaces continentales in Inversion et assimilation de données de télédétection, 45-95, in French, ISTE Editions, https://doi.org/10.51926/ISTE.9142.ch2, 2023 Bonan, B., Nodet, M, Ozenda, O., and Ritz, C.: Data assimilation in glaciology in Advanced data assimilation for geosciences: Lecture notes of the Les Houches school of physics: Special Issue, June 2012, 577-584, Oxford University Press, https://doi.org/10.1093/acprof:oso/9780198723844.003.0025, 2014