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Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002-2017
Zhang, Yongqiang1,2; Kong, Dongdong1,3; Gan, Rong1,4; Chiew, Francis H. S.1; McVicar, Tim R.1; Zhang, Qiang5,6; Yang, Yuting7
2019-03-01
Source PublicationREMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
Volume222Pages:165-182
Corresponding AuthorZhang, Yongqiang(yongqiang.zhang2014@gmail.com) ; Kong, Dongdong(kongdd.sysu@gmail.com)
AbstractAccurate quantification of terrestrial evapotranspiration (ET) is essential to understand the Earth's energy and water budgets under climate change. However, despite water and carbon cycle coupling, there are few diagnostic global evapotranspiration models that have complete carbon constraint on water flux run at a high spatial resolution. Here we estimate 8-day global ET and gross primary production (GPP) at 500 m resolution from July 2002 to December 2017 using a coupled diagnostic biophysical model (called PML-V2) that, built using Google Earth Engine, takes MODIS data (leaf area index, albedo, and emissivity) together with GLDAS meteorological forcing data as model inputs. PML-V2 is well calibrated against 8-day measurements at 95 widely-distributed flux towers for 10 plant functional types, indicated by Root Mean Square Error (RMSE) and Bias being 0.69 min d(-1) and -1.8% for ET respectively, and being 1.99 g C m(-2) d(-1) and 4.2% for GPP. Compared to that performance, the cross-validation results are slightly degraded, with RMSE and Bias being 0.73 mm d(-1) and -3% for ET, and 2.13 g C m(-2) d(-1) and 3.3% for GPP, which indicates robust model performance. The PML-V2 products are noticeably better than most GPP and ET products that have a similar spatial resolution, and suitable for assessing the influence of carbon-induced impacts on ET. Our estimates show that global ET and GPP both significantly (p < 0.05) increased over the past 15 years. Our results demonstrate it is very promising to use the coupled PML-V2 model to improve estimates of GPP, ET and water use efficiency, and its uncertainty can be further reduced by improving model inputs, model structure and parameterisation schemes.
KeywordGlobal Terrestrial Evapotranspiration Gross primary production Stomatal conductance MODIS Leaf area index
DOI10.1016/j.rse.2018.12.031
WOS KeywordWATER-USE EFFICIENCY ; ENERGY BALANCE ALGORITHM ; CARBON-DIOXIDE ; TERRESTRIAL EVAPOTRANSPIRATION ; LEAF PHOTOSYNTHESIS ; ATMOSPHERIC CO2 ; DECADAL TRENDS ; MODEL ; EVAPORATION ; CLIMATE
Indexed BySCI
Language英语
Funding ProjectCAS Pioneer Hundred Talents Program ; CSIRO International ; Sun Yat-Sen University
Funding OrganizationCAS Pioneer Hundred Talents Program ; CSIRO International ; Sun Yat-Sen University
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000457509000012
PublisherELSEVIER SCIENCE INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/49928
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhang, Yongqiang; Kong, Dongdong
Affiliation1.CSIRO Land & Water, GPO Box 1700, Canberra, ACT 2601, Australia
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Sun Yat Sen Univ, Dept Water Resources & Environm, Guangzhou 510275, Guangdong, Peoples R China
4.Univ Technol Sydney, Sch Life Sci, Sydney, NSW 2007, Australia
5.Acad Hazard Reduct & Emergency Management, Minist Educ, Key Lab Environm Changes & Nat Hazards, Beijing, Peoples R China
6.State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China
7.Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Yongqiang,Kong, Dongdong,Gan, Rong,et al. Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002-2017[J]. REMOTE SENSING OF ENVIRONMENT,2019,222:165-182.
APA Zhang, Yongqiang.,Kong, Dongdong.,Gan, Rong.,Chiew, Francis H. S..,McVicar, Tim R..,...&Yang, Yuting.(2019).Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002-2017.REMOTE SENSING OF ENVIRONMENT,222,165-182.
MLA Zhang, Yongqiang,et al."Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002-2017".REMOTE SENSING OF ENVIRONMENT 222(2019):165-182.
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