Investigating statistical bias correction with temporal subsample of the upper Ping River Basin, Thailand
This study aims to investigate different statistical bias correction techniques to improve the output of a regional climate model (RCM) of daily rainfall for the upper Ping River Basin in Northern Thailand. Three subsamples are used for each bias correction method, which are (1) using full calibrate...
Guardado en:
Autor principal: | Srisunee Wuthiwongtyohtin |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IWA Publishing
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/de993e80e1094277a8c6afd400c19ac2 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Bias correction demonstration in two of the Indian Himalayan river basins
por: A. P. Dimri
Publicado: (2021) -
Evaluating the hydrological utility of satellite-based rainfall products using neural network models over the Ghare Ghieh River basin, Iran
por: Arman Abdollahipour, et al.
Publicado: (2021) -
Analysis of extreme rainfall in Oti River Basin (West Africa)
por: Komi S. Klassou, et al.
Publicado: (2021) -
Detection and attribution of reference evapotranspiration change (1951–2020) in the Upper Yangtze River Basin of China
por: Manlin Wang, et al.
Publicado: (2021) -
Linking climate change to soil loss estimation in the Kosi river basin, India
por: Aadil Towheed, et al.
Publicado: (2021)