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Deep Learning Optimizes Data-Driven Representation of Soil Organic Carbon in Earth System Model Over the Conterminous United States
Soil organic carbon (SOC) is a key component of the global carbon cycle, yet it is not well-represented in Earth system models to accurately predict global carbon dynamics in response to climate change. This novel study integrated deep learning, data assimilation, 25,444 vertical soil profiles, and...
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Main Authors: | , , , , , , , , , , , , |
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Format: | Artigo |
Language: | Inglês |
Published: |
Frontiers Media S.A.
2020-06-01
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Series: | Frontiers in Big Data |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fdata.2020.00017/full |
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