DOI: 10.1016/j.jag.2012.08.015
Scopus记录号: 2-s2.0-84880306705
论文题名: A GPP assimilation model for the southeastern Tibetan Plateau based on CO2 eddy covariance flux tower and remote sensing data
作者: Jiang Y ; , Zhang J ; , Xu X ; , Dong Z
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 23, 期: 1 起始页码: 213
结束页码: 225
语种: 英语
英文关键词: Assimilation model
; Eddy covariance
; Flux tower
; GPP
; Satellite remote sensing
; Tibetan Plateau
Scopus关键词: carbon dioxide
; data assimilation
; eddy covariance
; modeling
; MODIS
; net ecosystem exchange
; primary production
; remote sensing
; satellite data
; satellite imagery
; vegetation index
; China
; Qinghai-Xizang Plateau
英文摘要: The gross primary production (GPP) at individual CO2 eddy covariance flux tower sites (GPPTower) in Dali (DL), Wenjiang (WJ) and Linzhi (LZ) around the southeastern Tibetan Plateau were determined by the net ecosystem exchange of CO2 (NEE) and ecosystem respiration (Re). The satellite remote sensing-VPM model estimates of GPP values (GPPMODIS) used the satellite-derived 8-day surface reflectance product (MOD09A1), including satellite-derived enhanced vegetation index (EVI) and land surface water index (LSWI). In this paper, we assembled a subset of flux tower data at these three sites to calibrate and test satellite-VPM model estimated GPPMODIS, and introduced the satellite data and site-level environmental factors to develop four new assimilation models. The new assimilation models' estimates of GPP values were compared with GPPMODIS and GPPTower, and the final optimum model among the four assimilation models was determined and used to calibrate GPPMODIS. The results showed that GPPMODIS had similar temporal variations to the GPPTower, but GPPMODIS were commonly higher in absolute magnitude than GPPTower with relative error (RE) about 58.85%. While, the assimilation models' estimates of GPP values (GPPMODEL) were much more closer to GPPTower with RE approximately 6.98%, indicating that the capacity of the simulation in the new assimilation model was greatly improved, the R2 and root mean square error (RMSE) of the new assimilation model were 0.57-4.90% higher and 0.74-2.47 g C m-2 s-1 lower than those of the GPPMODIS, respectively. The assimilation model was used to predicted GPP dynamics around the Tibetan Plateau and showed a reliable result compared with other researches. This study demonstrated the potential of the new assimilation model for estimating GPP around the Tibetan Plateau and the performances of site-level biophysical parameters in related to satellite-VPM model GPP. © 2012 Published by Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79851
Appears in Collections: 气候变化事实与影响
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作者单位: State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China; National Meteorological Center, China Meteorological Administration, Beijing 100081, China; Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; Laboratory for Remote Sensing and Climate Information Science, Chinese Academy of Meteorological Sciences, Beijing 100081, China; Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
Recommended Citation:
Jiang Y,, Zhang J,, Xu X,et al. A GPP assimilation model for the southeastern Tibetan Plateau based on CO2 eddy covariance flux tower and remote sensing data[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)