Estimation of possible extreme droughts for a dam catchment in Korea using a regional-scale weather model and long short-term memory network

Estimation of possible extreme droughts for a dam catchment in Korea using a regional-scale weather model and long short-term memory network

To prepare measures to respond to climate-induced extreme droughts, consideration of various weather conditions is necessary. This study tried to generate extreme drought weather data using the Weather Research and Forecasting (WRF) model and apply it to the Long Short-Term Memory (LSTM), a deep lea...

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Bibliographic Details
Main Authors: Mun-Ju Shin, Yong Jung
Format: Article
Language:English
Published: IWA Publishing 2023-10-01
Series:Hydrology Research
Subjects:
climate change
drought simulations
hydrological drought index
lstm
wrf
Online Access:http://hr.iwaponline.com/content/54/10/1299

Internet

http://hr.iwaponline.com/content/54/10/1299

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