Zobrazeno 1 - 10
of 162
pro vyhledávání: '"S. Calmant"'
Publikováno v:
Earth System Science Data, Vol 16, Pp 75-88 (2024)
Satellite altimetry data are useful for monitoring water surface dynamics, evaluating and calibrating hydrodynamic models, and enhancing river-related variables through optimization or assimilation approaches. However, comparing simulated water surfa
Externí odkaz:
https://doaj.org/article/cbfa88a899514544ac55409bd580544a
Autor:
B. M. Kitambo, F. Papa, A. Paris, R. M. Tshimanga, F. Frappart, S. Calmant, O. Elmi, A. S. Fleischmann, M. Becker, M. J. Tourian, R. A. Jucá Oliveira, S. Wongchuig
Publikováno v:
Earth System Science Data, Vol 15, Pp 2957-2982 (2023)
The spatio-temporal variation of surface water storage (SWS) in the Congo River basin (CRB), the second-largest watershed in the world, remains widely unknown. In this study, satellite-derived observations are combined to estimate SWS dynamics at the
Externí odkaz:
https://doaj.org/article/3df66daf88c846a99e5d39fdf834b6a6
Autor:
B. Kitambo, F. Papa, A. Paris, R. M. Tshimanga, S. Calmant, A. S. Fleischmann, F. Frappart, M. Becker, M. J. Tourian, C. Prigent, J. Andriambeloson
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 1857-1882 (2022)
The Congo River basin (CRB) is the second largest river system in the world, but its hydroclimatic characteristics remain relatively poorly known. Here, we jointly analyse a large record of in situ and satellite-derived observations, including a long
Externí odkaz:
https://doaj.org/article/730bdc5a3a3c4240ab8e054c5ac5da69
Autor:
S. Coss, M. Durand, Y. Yi, Y. Jia, Q. Guo, S. Tuozzolo, C. K. Shum, G. H. Allen, S. Calmant, T. Pavelsky
Publikováno v:
Earth System Science Data, Vol 12, Pp 137-150 (2020)
The capabilities of radar altimetry to measure inland water bodies are well established, and several river altimetry datasets are available. Here we produced a globally distributed dataset, the Global River Radar Altimeter Time Series (GRRATS), using
Externí odkaz:
https://doaj.org/article/1a0d1dec71904bddb47bd6ad8ce406c3
Autor:
V. A. Siqueira, R. C. D. Paiva, A. S. Fleischmann, F. M. Fan, A. L. Ruhoff, P. R. M. Pontes, A. Paris, S. Calmant, W. Collischonn
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 4815-4842 (2018)
Providing reliable estimates of streamflow and hydrological fluxes is a major challenge for water resources management over national and transnational basins in South America. Global hydrological models and land surface models are a possible solut
Externí odkaz:
https://doaj.org/article/c626ee455c604c168b7b5e10c53d23d7
Autor:
C. M. Emery, A. Paris, S. Biancamaria, A. Boone, S. Calmant, P.-A. Garambois, J. Santos da Silva
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 2135-2162 (2018)
Land surface models (LSMs) are widely used to study the continental part of the water cycle. However, even though their accuracy is increasing, inherent model uncertainties can not be avoided. In the meantime, remotely sensed observations of the c
Externí odkaz:
https://doaj.org/article/c8d5ed05f71c4f929200a29c66c41748
Autor:
R. C. D. Paiva, W. Collischonn, M.-P. Bonnet, L. G. G. de Gonçalves, S. Calmant, A. Getirana, J. Santos da Silva
Publikováno v:
Hydrology and Earth System Sciences, Vol 17, Iss 7, Pp 2929-2946 (2013)
In this work, we introduce and evaluate a data assimilation framework for gauged and radar altimetry-based discharge and water levels applied to a large scale hydrologic-hydrodynamic model for stream flow forecasts over the Amazon River basin. We use
Externí odkaz:
https://doaj.org/article/a0a04befbabb42b899815020b39e90c9
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