Zobrazeno 1 - 10
of 135
pro vyhledávání: '"François Brissette"'
Publikováno v:
Water, Vol 13, Iss 21, p 3112 (2021)
A satisfactory performance of hydrological models under historical climate conditions is considered a prerequisite step in any hydrological climate change impact study. Despite the significant interest in global hydrological modeling, few systematic
Externí odkaz:
https://doaj.org/article/885153ec3db848d384e05951cbb27b43
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 12, Iss C, Pp 220-237 (2017)
Spatial proximity, physical similarity and multiple linear regression are implemented on 266 snowmelt dominated catchments located in Québec, Canada. This paper evaluates: (1) the impact of the parameter set dimensionality by comparing 6, 9 and 15 f
Externí odkaz:
https://doaj.org/article/de28ab98a6cb46a7ad943a1099cfd804
Publikováno v:
Hydrology, Vol 2, Iss 4, Pp 289-317 (2015)
An analysis of hydrological response to a multi-model approach based on an ensemble of seven snow models (SM; degree-day and mixed degree-day/energy balance models) coupled with three hydrological models (HM) is presented for a snowmelt-dominated bas
Externí odkaz:
https://doaj.org/article/18b1d70730d44573ab5c264b7f93e041
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 4, Iss PB, Pp 595-610 (2015)
Study region: An analysis of hydrological response to a dynamically downscaled multi-member multi-model global climate model (GCM) ensemble of simulations based on the Canadian Regional Climate Model (CRCM) is presented for three snowmelt-dominated b
Externí odkaz:
https://doaj.org/article/3e69829fe66e4af59a9a362e7d44b2f0
Publikováno v:
Hydrology and Earth System Sciences. 27:139-157
This study investigates the ability of long short-term memory (LSTM) neural networks to perform streamflow prediction at ungauged basins. A set of state-of-the-art, hydrological model-dependent regionalization methods are applied to 148 catchments in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34ad9f12ce5471e8e9b7e88c6826dbfc
https://doi.org/10.5194/hess-27-139-2023
https://doi.org/10.5194/hess-27-139-2023
Autor:
Mina Faghih, François Brissette
Natural climate variability is known to be an important source of uncertainty in climate risk assessment. This can pose a substantial obstacle to the implementation of adaptation strategies because it may mask the signal of climate change. In this st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce504bcc14249a158b4d0dd1f80bcaef
https://doi.org/10.5194/egusphere-egu23-10846
https://doi.org/10.5194/egusphere-egu23-10846
Publikováno v:
Hydrological Sciences Journal. 66:1695-1711
Predicting streamflow in ungauged basins is a critical task in many projects. This study investigates the applicability and performance of three common regionalization methods over 314 catchments d...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb76576b577214bedb05230e2ad8c64c
https://doi.org/10.1080/02626667.2021.1948046
https://doi.org/10.1080/02626667.2021.1948046
This study investigates the ability of Long Short-Term Memory (LSTM) neural networks to perform streamflow prediction at ungauged basins. A series of state-of-the-art, hydrological model-dependent regionalization methods is applied to 148 catchments
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95d5ff38c0257b411a95db2a2fbc4b97
https://hess.copernicus.org/preprints/hess-2022-295/
https://hess.copernicus.org/preprints/hess-2022-295/
Autor:
Cha Zhao, François Brissette
Publikováno v:
Climatic Change. 173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59dba64ed146fbfeb862a1196e8aee03
https://doi.org/10.1007/s10584-022-03383-2
https://doi.org/10.1007/s10584-022-03383-2