Developing a Long Short-Term Memory (LSTM)-Based Model for Reconstructing Terrestrial Water Storage Variations from 1982 to 2016 in the Tarim River Basin, Northwest China

Estimating Terrestrial Water Storage (TWS) not only helps to provide a comprehensive insight into water resource variability and the hydrological cycle but also for better water resource management. In the current research, Gravity Recovery And Climate Experiment (GRACE) data are combined with the a...

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Główni autorzy:	Fei Wang, Yaning Chen, Zhi Li, Gonghuan Fang, Yupeng Li, Xuanxuan Wang, Xueqi Zhang, Patient Mindje Kayumba
Format:	Artigo
Język:	Inglês
Wydane:	MDPI AG 2021-02-01
Seria:	Remote Sensing
Hasła przedmiotowe:	terrestrial water storage Tarim River Basin LSTM model climate change
Dostęp online:	https://www.mdpi.com/2072-4292/13/5/889
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