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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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2022-04-01
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| coleção: | Frontiers in Environmental Science |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.847475/full |
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