Research progresses and prospects of catchment hydrological forecasting driven by global climate forecasts

Global climate models and emerging artificial intelligence models generate big climate forecasts data for catchment hydrological forecasting at daily, sub-seasonal and seasonal timescales. The utilization of global climate forecasts to drive catchment hydrological models are confronted with the tech...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Tongtiegang ZHAO, Chi ZHANG, Yu TIAN, Yu LI, Zexin CHEN, Xiaohong CHEN
Format:	Artigo
Sprog:	Chinês
Udgivet:	Editorial Office of Advances in Water Science 2024-01-01
Serier:	Shui kexue jinzhan
Fag:	global climate model climate forecasts catchment hydrological model hydrological forecasts real-time forecasts retrospective forecasts forecast verification
Online adgang:	http://skxjz.nhri.cn/article/doi/10.14042/j.cnki.32.1309.2024.01.014
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!