Hydrological Response to Climate Change: McGAN for Multi-Site Scenario Weather Series Generation and LSTM for Streamflow Modeling

Hydrological Response to Climate Change: McGAN for Multi-Site Scenario Weather Series Generation and LSTM for Streamflow Modeling

This study focuses on the impacts of climate change on hydrological processes in watersheds and proposes an integrated approach combining a weather generator with a multi-site conditional generative adversarial network (McGAN) model. The weather generator incorporates ensemble GCM predictions to gen...

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Bibliographic Details
Main Authors: Jian Sha, Yaxin Chang, Yaxiu Liu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Atmosphere
Subjects:
GAN
weather generator
LSTM
watershed hydrology
climate change
Online Access:https://www.mdpi.com/2073-4433/15/11/1348

Internet

https://www.mdpi.com/2073-4433/15/11/1348

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