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INTEGRATING EDDY COVARIANCE INFORMATION WITH BEPS MODEL USING A VARIATIONAL ASSIMILATION SCHEME FOR IMPROVING TEMPORALLY CONTINUOUS GPP ESTIMATION
Language英语
Xinyao Xie1,2; Ainong Li1; Gaofei Yin1; Jinhu Bian1
2018
Source PublicationIEEE International Symposium on Geoscience and Remote Sensing IGARSS
Author of SourceIEEE
Pages9048-9051
meeting38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Conference Date2018
Conference PlaceValencia, SPAIN
CountrySPAIN
Contribution Rank1
AbstractThe gross primary productivity (GPP) is an essential parameter of terrestrial carbon cycle, and simulation of GPP through terrestrial ecosystem process model usually needs a specification of model parameter. However, estimating model parameters in situ field or laboratory is a laborious and tedious work, causing a general lack of data. In this study, a reliable variational data assimilation scheme integrating Boreal Ecosystem Productivity Simulator (BEPS) with eddy covariance fluxes, was proposed to account for the seasonal variations of model parameters and improve temporally continuous GPP estimation Results suggested that the proposed variational assimilation scheme in our study could effectively track the seasonal variations of model parameters. With optimal temporally continuous values of parameters, BEPS model had a better performance and potential ability for the GPP estimation.
KeywordGPP BEPS model Data assimilation Eddy covariance fluxes remote sensing
ISBN978-1-5386-7150-4
ISSN2153-6996
Indexed ByCPCI
WOS IDWOS:000451039808155
Citation statistics
Document Type会议论文
Identifierhttp://ir.imde.ac.cn/handle/131551/24502
Collection中国科学院水利部成都山地灾害与环境研究所
Corresponding AuthorAinong Li
Affiliation1.Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China, 610041;
2.University of Chinese Academy of Sciences, Beijing, China, 100049
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
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Xinyao Xie,Ainong Li,Gaofei Yin,et al. INTEGRATING EDDY COVARIANCE INFORMATION WITH BEPS MODEL USING A VARIATIONAL ASSIMILATION SCHEME FOR IMPROVING TEMPORALLY CONTINUOUS GPP ESTIMATION[C]//IEEE,2018:9048-9051.
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