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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Egile Nagusiak: Donghan Feng, Guojie Wang, Xikun Wei, Solomon Obiri Yeboah Amankwah, Yifan Hu, Zicong Luo, Daniel Fiifi Tawia Hagan, Waheed Ullah
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Frontiers Media S.A. 2022-04-01
Saila:Frontiers in Environmental Science
Gaiak:
deep-learning
soil moisture
fusion
downscaling
CMIP6
Sarrera elektronikoa:https://www.frontiersin.org/articles/10.3389/fenvs.2022.847475/full
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