Zobrazeno 1 - 10
of 101
pro vyhledávání: '"J.-P. Calvet"'
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:
Geoscientific Model Development, Vol 15, Pp 8453-8471 (2022)
With an increase in the number of natural processes represented, global land surface models (LSMs) have become more and more accurate in representing natural terrestrial ecosystems. However, they are still limited with respect to the impact of agricu
Externí odkaz:
https://doaj.org/article/67b1ae5aa39d4ea691847d3c1a9fe760
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
Autor:
W. Dorigo, I. Himmelbauer, D. Aberer, L. Schremmer, I. Petrakovic, L. Zappa, W. Preimesberger, A. Xaver, F. Annor, J. Ardö, D. Baldocchi, M. Bitelli, G. Blöschl, H. Bogena, L. Brocca, J.-C. Calvet, J. J. Camarero, G. Capello, M. Choi, M. C. Cosh, N. van de Giesen, I. Hajdu, J. Ikonen, K. H. Jensen, K. D. Kanniah, I. de Kat, G. Kirchengast, P. Kumar Rai, J. Kyrouac, K. Larson, S. Liu, A. Loew, M. Moghaddam, J. Martínez Fernández, C. Mattar Bader, R. Morbidelli, J. P. Musial, E. Osenga, M. A. Palecki, T. Pellarin, G. P. Petropoulous, I. Pfeil, J. Powers, A. Robock, C. Rüdiger, U. Rummel, M. Strobel, Z. Su, R. Sullivan, T. Tagesson, A. Varlagin, M. Vreugdenhil, J. Walker, J. Wen, F. Wenger, J. P. Wigneron, M. Woods, K. Yang, Y. Zeng, X. Zhang, M. Zreda, S. Dietrich, A. Gruber, P. van Oevelen, W. Wagner, K. Scipal, M. Drusch, R. Sabia
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 5749-5804 (2021)
In 2009, the International Soil Moisture Network (ISMN) was initiated as a community effort, funded by the European Space Agency, to serve as a centralised data hosting facility for globally available in situ soil moisture measurements (Dorigo et al.
Externí odkaz:
https://doaj.org/article/c1f65dc527d04fb590503de30a861140
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:
Atmospheric Chemistry and Physics, Vol 19, Pp 5005-5020 (2019)
In this study, the frequency and intensity of soil-cooling rains is assessed using in situ observations of atmospheric and soil profile variables in southern France. Rainfall, soil temperature, and topsoil volumetric soil moisture (VSM) observations,
Externí odkaz:
https://doaj.org/article/aa84a8b942dc442aa068024a8d2a18ac
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 3515-3532 (2018)
The European Centre for Medium-Range Weather Forecasts (ECMWF) recently released the first 7-year segment of its latest atmospheric reanalysis: ERA-5 over the period 2010–2016. ERA-5 has important changes relative to the former ERA-Interim atmos
Externí odkaz:
https://doaj.org/article/9f3547d9a8df47aba9630b39958893bc