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Patricia De Rosnay
Patricia De Rosnay
Verified email at ecmwf.int
Title
Cited by
Year
Optimal model-based temperature inputs for global soil moisture and vegetation optical depth retrievals from SMAP
Y Xiao, X Li, L Fan, G De Lannoy, J Peng, F Frappart, A Ebtehaj, ...
Remote Sensing of Environment 311, 114240, 2024
2024
Remote sensing of mountain snow from space: status and recommendations
S Gascoin, K Luojus, T Nagler, H Lievens, M Masiokas, T Jonas, Z Zheng, ...
Frontiers in Earth Science 12, 1381323, 2024
2024
Remote effects of Tibetan Plateau spring land temperature on global subseasonal to seasonal precipitation prediction and comparison with effects of sea surface temperature: the …
Y Xue, I Diallo, AA Boone, Y Zhang, X Zeng, WKM Lau, JD Neelin, T Yao, ...
Climate Dynamics 62 (4), 2603-2628, 2024
62024
Varying lake surface cover for reanalysis application
M Choulga, G Balsamo, S Boussetta, T Kimpson, E Kurzeneva, ...
EGU24, 2024
2024
ECMWF 6th generation ocean and sea-ice reanalysis system (ORAS6)
E de Boisseson, H Zuo, M Chrust, P Browne, M Balmaseda, P de Rosnay
EGU24, 2024
2024
Adaptive soil moisture bias correction in the ECMWF land data assimilation system
P Weston, P de Rosnay, D Fairbairn
EGU24, 2024
2024
Enhanced coupled land-atmosphere data assimilation for reanalysis
P Weston, P de Rosnay, C Herbert, E Pinnington
EGU24, 2024
2024
Towards Ensemble Land Data Assimilation at ECMWF
EM Pinnington, P de Rosnay, P Weston, D Fairbairn, C Herbert, E Holm, ...
104th AMS Annual Meeting, 2024
2024
Evaluation of an Adaptive Soil Moisture Bias Correction Approach in the ECMWF Land Data Assimilation System
D Fairbairn, P De Rosnay, P Weston
Remote Sensing 16 (3), 493, 2024
12024
On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results
G Abramowitz, A Ukkola, S Hobeichi, J Cranko Page, M Lipson, ...
EGUsphere 2024, 1-47, 2024
12024
Demonstrator systems for using remote sensing data (LAI, VOD, SIF) in online global prior fluxes for the CO2MVS prototype
JC Calvet, B Bonan, O Rojas-Munoz, A Agusti-Panareda, P de Rosnay, ...
ECMWF, 2023
2023
Assessment of 9 km SMAP soil moisture: Evidence of narrowing the gap between satellite retrievals and model-based reanalysis
Z Xing, X Li, L Fan, A Colliander, F Frappart, P de Rosnay, ...
Remote Sensing of Environment 296, 113721, 2023
12023
On the need of a new high-resolution L-band mission to study land/water/ice interfaces
N Rodriguez-Fernandez, J Boutin, L Kaleschke, G De Lannoy, ...
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
2023
Preliminary evaluation of the ECMWF 6th generation ocean and sea-ice reanalysis system (ORAS6)
E de Boisseson, H Zuo, P Browne, M Chrust, M Balmaseda, P de Rosnay, ...
EGU General Assembly Conference Abstracts, EGU-4961, 2023
2023
Coupled data assimilation for numerical weather prediction at ECMWF
P de Rosnay, E de Boisséson, D Fairbairn, S Garrigues, C Herbert, K Ochi, ...
EGU General Assembly Conference Abstracts, EGU-16806, 2023
2023
Assimilation de données de télédétection pour le suivi des surfaces continentales
L JARLAN, C ALBERGEL, B BONAN, JC CALVET, P DE ROSNAY, ...
Inversion et assimilation de données de télédétection: Estimation des …, 2023
2023
Status and Plans of C3S Earth System Reanalysis following State-of-the-art Data Assimilation at ECMWF; ERA6 and Beyond.
H Hersbach, P de Rosnay, B Bell, S English, C Buontempo, J Thepaut
AGU Fall Meeting Abstracts 2022, OS56B-02, 2022
2022
Spring land temperature in Tibetan Plateau and global-scale summer precipitation: Initialization and improved prediction
Y Xue, I Diallo, AA Boone, T Yao, Y Zhang, X Zeng, JD Neelin, WKM Lau, ...
Bulletin of the American Meteorological Society 103 (12), E2756-E2767, 2022
152022
An agenda for land data assimilation priorities: Realizing the promise of terrestrial water, energy, and vegetation observations from space
S Kumar, J Kolassa, R Reichle, W Crow, G de Lannoy, P de Rosnay, ...
Journal of Advances in Modeling Earth Systems 14 (11), e2022MS003259, 2022
142022
Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication
GJM De Lannoy, M Bechtold, C Albergel, L Brocca, JC Calvet, A Carrassi, ...
Frontiers in Water 4, 981745, 2022
212022
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