Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model
<p>In general, there are no long-term meteorological or hydrological data available for karst river basins. The lack of rainfall data is a great challenge that hinders the development of hydrological models. Quantitative precipitation estimates (QPEs) based on weather satellites offer a potent...
Автори: | J. Li, D. Yuan, J. Liu, Y. Jiang, Y. Chen, K. L. Hsu, S. Sorooshian |
---|---|
Формат: | Стаття |
Мова: | English |
Опубліковано: |
Copernicus Publications
2019-03-01
|
Серія: | Hydrology and Earth System Sciences |
Онлайн доступ: | https://www.hydrol-earth-syst-sci.net/23/1505/2019/hess-23-1505-2019.pdf |
Схожі ресурси
Схожі ресурси
-
The Application of PERSIANN Family Datasets for Hydrological Modeling
за авторством: Hossein Salehi, та інші
Опубліковано: (2022-07-01) -
Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau
за авторством: X. Liu, та інші
Опубліковано: (2017-01-01) -
PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies
за авторством: Mojtaba Sadeghi, та інші
Опубліковано: (2021-06-01) -
Assessment of PERSIANN Satellite Products over the Tulijá River Basin, Mexico
за авторством: Lorenza Ceferino-Hernández, та інші
Опубліковано: (2024-07-01) -
Assessment and Correction of the PERSIANN-CDR Product in the Yarlung Zangbo River Basin, China
за авторством: Jiangtao Liu, та інші
Опубліковано: (2018-12-01)