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...

全面介紹

Na minha lista:
書目詳細資料
Main Authors: Feng Tao, Zhenghu Zhou, Yuanyuan Huang, Qianyu Li, Xingjie Lu, Shuang Ma, Xiaomeng Huang, Yishuang Liang, Gustaf Hugelius, Lifen Jiang, Russell Doughty, Zhehao Ren, Yiqi Luo
格式: Artigo
語言:Inglês
出版: Frontiers Media S.A. 2020-06-01
叢編:Frontiers in Big Data
主題:
soil organic carbon representation
Earth system model
data assimilation
deep learning
Community Land Model version 5 (CLM5)
soil carbon dynamics
在線閱讀:https://www.frontiersin.org/article/10.3389/fdata.2020.00017/full
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!

相似書籍