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

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

Abstract Background Soil temperature and moisture are sensitive indicators in soil organic matter decomposition because they control global carbon and water cycles and their potential feedback to climatic variations. Although the Biome-Biogeochemical Cycles (Biome-BGC) model is broadly applied in si...

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Bibliographic Details
Main Authors: Min Yan, Zengyuan Li, Xin Tian, Li Zhang, Yu Zhou
Format: Article
Language:English
Published: SpringerOpen 2019-04-01
Series:Forest Ecosystems
Subjects:
Biome-BGC MuSo
Soil temperature
Soil moisture
Ensemble Kalman filter
Data assimilation
Online Access:http://link.springer.com/article/10.1186/s40663-019-0171-5

Internet

http://link.springer.com/article/10.1186/s40663-019-0171-5

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