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...

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Bibliografski detalji

Glavni autori:	Tongtiegang ZHAO, Chi ZHANG, Yu TIAN, Yu LI, Zexin CHEN, Xiaohong CHEN
Format:	Artigo
Jezik:	Chinês
Izdano:	Editorial Office of Advances in Water Science 2024-01-01
Serija:	Shui kexue jinzhan
Teme:	global climate model climate forecasts catchment hydrological model hydrological forecasts real-time forecasts retrospective forecasts forecast verification
Online pristup:	http://skxjz.nhri.cn/article/doi/10.14042/j.cnki.32.1309.2024.01.014
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