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Improved simulation of carbon and water fluxes by assimilating multi-layer soil temperature and moisture into process-based biogeochemical model

Min Yan Zengyuan Li Xin Tian Li Zhang Yu Zhou

森林生态系统（英文版）2019，Vol.6Issue(2)：87-101,15.

Improved simulation of carbon and water fluxes by assimilating multi-layer soil temperature and moisture into process-based biogeochemical model

Min Yan ¹Zengyuan Li ²Xin Tian ²Li Zhang ¹Yu Zhou³

作者信息

1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
2. Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China
3. Graduate School of Geography, Clark University, Worcester, MA 01610, USA
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摘要

关键词

Biome-BGC MuSo/ Soil temperature/ Soil moisture/ Ensemble Kalman filter/ Data assimilation

Key words

Biome-BGC MuSo/ Soil temperature/ Soil moisture/ Ensemble Kalman filter/ Data assimilation

引用本文复制引用

Min Yan,Zengyuan Li,Xin Tian,Li Zhang,Yu Zhou..Improved simulation of carbon and water fluxes by assimilating multi-layer soil temperature and moisture into process-based biogeochemical model[J].森林生态系统（英文版）,2019,6(2):87-101,15.

基金项目

This study was financially supported by the Fundamental Research Funds for the Central Non-profit Research Institution of CAF under grant CAFYBB2017QC005, General Financial Grant from the China Postdoctoral Science Foundation (2017 M611036), National Natural Science Foundation of China (Grant No. 41771392), and the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA19030302). （2017 M611036）

森林生态系统（英文版）

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ISSN：2095-6355

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