Remote sensing-based ecosystem–atmosphere simulation scheme (EASS)—Model formulation and test with multiple-year data
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DOI: 10.1016/j.ecolmodel.2007.06.032
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- He, Liming & Chen, Jing M. & Liu, Jane & Mo, Gang & Bélair, Stéphane & Zheng, Ting & Wang, Rong & Chen, Bin & Croft, Holly & Arain, M.Altaf & Barr, Alan G., 2014. "Optimization of water uptake and photosynthetic parameters in an ecosystem model using tower flux data," Ecological Modelling, Elsevier, vol. 294(C), pages 94-104.
- Mercedeh Taheri & Abdolmajid Mohammadian & Fatemeh Ganji & Mostafa Bigdeli & Mohsen Nasseri, 2022. "Energy-Based Approaches in Estimating Actual Evapotranspiration Focusing on Land Surface Temperature: A Review of Methods, Concepts, and Challenges," Energies, MDPI, vol. 15(4), pages 1-57, February.
- Liu, Zhenhai & Chen, Bin & Wang, Shaoqiang & Wang, Qinyi & Chen, Jinghua & Shi, Weibo & Wang, Xiaobo & Liu, Yuanyuan & Tu, Yongkai & Huang, Mei & Wang, Junbang & Wang, Zhaosheng & Li, Hui & Zhu, Tongt, 2021. "The impacts of vegetation on the soil surface freezing-thawing processes at permafrost southern edge simulated by an improved process-based ecosystem model," Ecological Modelling, Elsevier, vol. 456(C).
- Zhu, Lin & Chen, Jing M. & Qin, Qiming & Li, Jianping & Wang, Lianxi, 2009. "Optimization of ecosystem model parameters using spatio-temporal soil moisture information," Ecological Modelling, Elsevier, vol. 220(18), pages 2121-2136.
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Keywords
Ecosystem–atmosphere interactions; Land surface scheme; Energy and carbon fluxes; Remote sensing; Soil temperature; Soil moisture; EASS; Ecological model;All these keywords.
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