INTEGRATING EDDY COVARIANCE INFORMATION WITH BEPS MODEL USING A VARIATIONAL ASSIMILATION SCHEME FOR IMPROVING TEMPORALLY CONTINUOUS GPP ESTIMATION

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 数字山地与遥感应用中心

	INTEGRATING EDDY COVARIANCE INFORMATION WITH BEPS MODEL USING A VARIATIONAL ASSIMILATION SCHEME FOR IMPROVING TEMPORALLY CONTINUOUS GPP ESTIMATION
	Xinyao Xie1,2 ; Ainong Li1 ; Gaofei Yin1 ; Jinhu Bian1
	2018
会议日期	2018
会议地点	Valencia, SPAIN
关键词	GPP BEPS model Data assimilation Eddy covariance fluxes remote sensing
页码	9048-9051
国家	SPAIN
英文摘要	The 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.
源文献作者	IEEE
产权排序	1
会议录	IEEE International Symposium on Geoscience and Remote Sensing IGARSS
语种	英语
ISSN号	2153-6996
ISBN号	978-1-5386-7150-4
WOS记录号	WOS:000451039808155
内容类型	会议论文
源URL	[http://ir.imde.ac.cn/handle/131551/24502]
专题	成都山地灾害与环境研究所_数字山地与遥感应用中心
通讯作者	Ainong Li
作者单位	1.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
推荐引用方式 GB/T 7714	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]. 见:. Valencia, SPAIN. 2018.