A GPP assimilation model for the southeastern Tibetan Plateau based on CO2 eddy covariance flux tower and remote sensing data
Jiang, Yan1,2; Zhang, JiaHua3,4; Xu, XiangDe1; Dong, ZhiXin5
刊名INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
2013-08-01
卷号23页码:213-225
关键词Assimilation model GPP Satellite remote sensing Eddy covariance Flux tower Tibetan Plateau
ISSN号0303-2434
其他题名mannual of IR
通讯作者Xu, XiangDe
合作状况国内
英文摘要The gross primary production (GPP) at individual CO2 eddy covariance flux tower sites (GPP(TOWER)) 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 (R-e). The satellite remote sensing-VPM model estimates of GPP values (GPP(MODIS)) 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 GPP(MODIS), 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 GPP(MODIS) and GPP(TOWER), and the final optimum model among the four assimilation models was determined and used to calibrate GPP(MODIS). The results showed that GPP(MODIS) had similar temporal variations to the GPP(TOWER), but GPP(MODIS) were commonly higher in absolute magnitude than GPP(TOWER) with relative error (RE) about 58.85%. While, the assimilation models' estimates of GPP values (GPP(MODEL)) were much more closer to GPP(TOWER) with RE approximately 6.98%, indicating that the capacity of the simulation in the new assimilation model was greatly improved, the R-2 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 GPP(MODIS), 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. Crown Copyright (C) 2012 Published by Elsevier B.V. All rights reserved.
学科主题Remote Sensing
WOS标题词Science & Technology ; Technology
类目[WOS]Remote Sensing
研究领域[WOS]Remote Sensing
关键词[WOS]GROSS PRIMARY PRODUCTION ; NET ECOSYSTEM EXCHANGE ; LIGHT USE EFFICIENCY ; EVERGREEN NEEDLELEAF FOREST ; NORTHERN GREAT-PLAINS ; COMBINING MODIS ; CARBON EXCHANGE ; AMERIFLUX DATA ; UNITED-STATES ; CLIMATE DATA
收录类别SCI
语种英语
WOS记录号WOS:000317159800019
公开日期2013-06-18
内容类型期刊论文
源URL[http://ir.imde.ac.cn/handle/131551/5403]  
专题成都山地灾害与环境研究所_山地表生过程与生态调控重点实验室
作者单位1.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
2.China Meteorol Adm, Natl Meteorol Ctr, Beijing 100081, Peoples R China
3.Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100094, Peoples R China
4.Chinese Acad Meteorol Sci, Lab Remote Sensing & Climate Informat Sci, Beijing 100081, Peoples R China
5.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Surface Proc & Ecol Regulat, Chengdu 610041, Peoples R China
推荐引用方式
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Jiang, Yan,Zhang, JiaHua,Xu, XiangDe,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,2013,23:213-225.
APA Jiang, Yan,Zhang, JiaHua,Xu, XiangDe,&Dong, ZhiXin.(2013).A GPP assimilation model for the southeastern Tibetan Plateau based on CO2 eddy covariance flux tower and remote sensing data.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,23,213-225.
MLA Jiang, Yan,et al."A GPP assimilation model for the southeastern Tibetan Plateau based on CO2 eddy covariance flux tower and remote sensing data".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 23(2013):213-225.
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