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Simulating canopy carbonyl sulfide uptake of two forest stands through an improved ecosystem model and parameter optimization using an ensemble Kalman filter

文献类型：期刊论文

作者Chen, Bin2; Wang, Pengyuan1,2; Wang, Shaoqiang1,2,3; Ju, Weimin4; Liu, Zhenhai1,2; Zhang, Yinghui5
刊名ECOLOGICAL MODELLING
出版日期2023
卷号475页码:11
ISSN号0304-3800
关键词Carbonyl sulfide Ensemble Kalman filter Parameter optimization Data assimilation
DOI10.1016/j.ecolmodel.2022.110212
通讯作者Wang, Shaoqiang(sqwang@igsnrr.ac.cn)
英文摘要The uptake of carbonyl sulfide (COS) by plant canopy closely correlated with photosynthetic CO2 uptake as they share the same diffusion pathway. Process-based ecosystem models have been used to simulate the CO2, H2O and COS fluxes between terrestrial ecosystems and atmosphere. Some model parameters often vary seasonally and interannually. In this study, the hourly Boreal Ecosystem Productivity Simulator (BEPS) was first improved to simulate the canopy COS uptake rate. Then, an ensemble Kalman filter was designed to optimize the key pa-rameters of the hourly BEPS model, considering the errors in the input, parameters and measurements. The optimized parameters include leaf maximum carboxylation rate at 25 degrees C at top of canopy (V0cmax25) and a cali-bration term (alpha) used to scale the apparent conductance for COS uptake from the intercellular airspace (gcos) to Vcmax. The fluxes of gross primary productivity (GPP), latent heat (LE) and COS uptake by canopy (Fcos_veg) measured using eddy covariance method at a temperate deciduous forest during 2012-2013 and a boreal conifer forest during 2013-2017 were used for data assimilation. Parameters were optimized daily and presented as 10 -day averages. It was found that the parameters showed considerable seasonally and interannually variations. With parameter optimization using EnKF, the improved hourly BEPS model could explain 86%, 68% and 55% of variations in measured daily GPP, LE and Fcos_veg at US-Ha1 site during 2012 and 2013 and captured 90%, 74% and 69% of variations in the measured GPP, LE and Fcos_veg at FI-Hyy site during 2013-2017, respectively. The simulated daily Fcos_veg with the parameters optimized using EnKF could capture the day-to-day variations of Fcos_veg at the two studied sites and performed better than the simulations with calibrated parameter values. Further efforts were required to investigate the impacts of model structure and different parameter optimization methods on the optimized parameter values.
WOS关键词STOMATAL CONDUCTANCE ; WATER FLUXES ; MONTE-CARLO ; PHOTOSYNTHESIS ; ASSIMILATION ; CO2 ; TRANSPIRATION ; UNCERTAINTY ; ANHYDRASE ; TRACER
资助项目Research and Development Project of Scientific Instruments and Equipment of Chinese Academy of Sciences ; [YJKYYQ20190042]
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者ELSEVIER
WOS记录号WOS:000895768300001
资助机构Research and Development Project of Scientific Instruments and Equipment of Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/188261]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Shaoqiang
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
3.China Univ Geosci, Coll Geog & Informat Engn, Wuhan, Peoples R China
4.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing, Peoples R China
5.Shenzhen Univ, MNR Key Lab Geoenvironm Monitoring Great Bay Area, Shenzhen 518060, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Bin,Wang, Pengyuan,Wang, Shaoqiang,et al. Simulating canopy carbonyl sulfide uptake of two forest stands through an improved ecosystem model and parameter optimization using an ensemble Kalman filter[J]. ECOLOGICAL MODELLING,2023,475:11.
APA Chen, Bin,Wang, Pengyuan,Wang, Shaoqiang,Ju, Weimin,Liu, Zhenhai,&Zhang, Yinghui.(2023).Simulating canopy carbonyl sulfide uptake of two forest stands through an improved ecosystem model and parameter optimization using an ensemble Kalman filter.ECOLOGICAL MODELLING,475,11.
MLA Chen, Bin,et al."Simulating canopy carbonyl sulfide uptake of two forest stands through an improved ecosystem model and parameter optimization using an ensemble Kalman filter".ECOLOGICAL MODELLING 475(2023):11.

入库方式： OAI收割

来源：地理科学与资源研究所

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