Zobrazeno 1 - 10
of 331
pro vyhledávání: '"B. Bonan"'
Autor:
E. Liu, Y. Zhu, J.-C. Calvet, H. Lü, B. Bonan, J. Zheng, Q. Gou, X. Wang, Z. Ding, H. Xu, Y. Pan, T. Chen
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 2375-2400 (2024)
Root zone soil moisture (RZSM) is critical for water resource management, drought monitoring and sub-seasonal flood climate prediction. While RZSM is not directly observable from space, several RZSM products are available and widely used at global an
Externí odkaz:
https://doaj.org/article/c983e0e7628943e6bbffe557e4b219a2
Autor:
S. Barthelemy, B. Bonan, J.-C. Calvet, G. Grandjean, D. Moncoulon, D. Kapsambelis, S. Bernardie
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 24, Pp 999-1016 (2024)
Clay shrinkage, which consists of a reduction in the volume of clay soils during dry periods, can affect buildings and cause subsidence damage. In France, losses due to subsidence are estimated at more than EUR 16 billion for the period 1989–2021 (
Externí odkaz:
https://doaj.org/article/fd2c8accfcd9498a945649ce836795c2
Publikováno v:
Biogeosciences, Vol 19, Pp 2557-2581 (2022)
The land data assimilation system, LDAS-Monde, developed by the research department of the French meteorological service (Centre National de Recherches Météorologiques – CNRM) is capable of well representing land surface variables (LSVs) from reg
Externí odkaz:
https://doaj.org/article/c6673abde3ec4c3eb65dd0ad2f0399d6
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 1425-1446 (2021)
The MARINE (Model of Anticipation of Runoff and INundations for Extreme events) hydrological model is a distributed model dedicated to flash flood simulation. Recent developments of the MARINE model are explored in this work. On one hand, transfers o
Externí odkaz:
https://doaj.org/article/d6ad83a2e4034940af35bbc58ea7e058
Autor:
C. Albergel, Y. Zheng, B. Bonan, E. Dutra, N. Rodríguez-Fernández, S. Munier, C. Draper, P. de Rosnay, J. Muñoz-Sabater, G. Balsamo, D. Fairbairn, C. Meurey, J.-C. Calvet
Publikováno v:
Hydrology and Earth System Sciences, Vol 24, Pp 4291-4316 (2020)
LDAS-Monde is a global offline land data assimilation system (LDAS) that jointly assimilates satellite-derived observations of surface soil moisture (SSM) and leaf area index (LAI) into the ISBA (Interaction between Soil Biosphere and Atmosphere) lan
Externí odkaz:
https://doaj.org/article/ef2ecb94d2b046b5b4e4b80cebf13ae3
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 3607-3625 (2020)
The high computational resources and the time-consuming IO (input/output) are major issues in offline ensemble-based high-dimensional data assimilation systems. Bearing these in mind, this study proposes a sophisticated dynamically running job scheme
Externí odkaz:
https://doaj.org/article/de35e4a55cdb419cb0c44a6bdaa3f75e
Publikováno v:
Hydrology and Earth System Sciences, Vol 24, Pp 325-347 (2020)
This paper introduces an ensemble square root filter (EnSRF) in the context of jointly assimilating observations of surface soil moisture (SSM) and the leaf area index (LAI) in the Land Data Assimilation System LDAS-Monde. By ingesting those satellit
Externí odkaz:
https://doaj.org/article/4cffe7c5f56d4421bd20b0ece443646a
Publikováno v:
Nonlinear Processes in Geophysics, Vol 24, Pp 515-534 (2017)
We develop data assimilation techniques for non-linear dynamical systems modelled by moving mesh methods. Such techniques are valuable for explicitly tracking interfaces and boundaries in evolving systems. The unique aspect of these assimilation t
Externí odkaz:
https://doaj.org/article/750dee1ed19a4b389388ccc2cda5ab67
Publikováno v:
The Cryosphere, Vol 10, Iss 1, Pp 1-14 (2016)
Predicting the evolution of ice sheets requires numerical models able to accurately track the migration of ice sheet continental margins or grounding lines. We introduce a physically based moving-point approach for the flow of ice sheets based on the
Externí odkaz:
https://doaj.org/article/870f690fe6764a689a0a810e7f77356b
Publikováno v:
Nonlinear Processes in Geophysics, Vol 21, Iss 2, Pp 569-582 (2014)
Estimating the contribution of Antarctica and Greenland to sea-level rise is a hot topic in glaciology. Good estimates rely on our ability to run a precisely calibrated ice sheet evolution model starting from a reliable initial state. Data assimilati
Externí odkaz:
https://doaj.org/article/a32ba3a9af26417996c0b5215f48caaf