Merging and Downscaling Soil Moisture Data From CMIP6 Projections Using Deep Learning Method

Merging and Downscaling Soil Moisture Data From CMIP6 Projections Using Deep Learning Method

Soil moisture (SM) is an important variable in mediating the land-atmosphere interactions. Earth System Models (ESMs) are the key tools for predicting the response of SM to future climate change. Many ESMs provide outputs for SM; however, the estimated SM accuracy from different ESMs varies geograph...

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Bibliographic Details
Main Authors: Donghan Feng, Guojie Wang, Xikun Wei, Solomon Obiri Yeboah Amankwah, Yifan Hu, Zicong Luo, Daniel Fiifi Tawia Hagan, Waheed Ullah
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Environmental Science
Subjects:
deep-learning
soil moisture
fusion
downscaling
CMIP6
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2022.847475/full

Internet

https://www.frontiersin.org/articles/10.3389/fenvs.2022.847475/full

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