Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Man K. Yau"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 23, Pp 741-762 (2019)
The main sources of uncertainty in hydrological modelling can be summarized as structural errors, parameter errors, and data errors. Operational modellers are generally more concerned with predictive ability than model errors, and this paper presents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d71b7d46a3f8dc155d8a258d771944d3
https://www.hydrol-earth-syst-sci.net/23/741/2019/
https://www.hydrol-earth-syst-sci.net/23/741/2019/
Publikováno v:
Journal of Hydrometeorology. 17:2013-2039
Land surface schemes (LSSs) are of potential interest both to hydrologists looking for innovative ways to simulate river flow and the land surface water balance and to atmospheric scientists looking to improve weather and climate predictions. This pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::046ffddb23bad0ed8e79a0f237dcf32a
https://doi.org/10.1175/jhm-d-15-0172.1
https://doi.org/10.1175/jhm-d-15-0172.1
Publikováno v:
Hydrology and Earth System Sciences, Vol 14, Iss 6, Pp 1063-1079 (2010)
Many field studies have shown that surface sublimation, and blowing snow transport and sublimation have significant influences on the snow mass budget in many high-latitude regions. We developed a coupled triple-moment blowing snow-atmospheric modeli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a37696129ebf2ad954e9d5635e09916
https://www.hydrol-earth-syst-sci.net/14/1063/2010/
https://www.hydrol-earth-syst-sci.net/14/1063/2010/
The main sources of uncertainty in hydrological modelling can be summarized as structural errors, parameter errors, and data errors. Operational modellers are generally more concerned with predictive ability than model errors, and Data Assimilation (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb137e6cabc00df87bce6b264ddd3162
https://doi.org/10.5194/hess-2017-482
https://doi.org/10.5194/hess-2017-482