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Long-term spatial distributions and trends of the latent heat fluxes over the global cropland ecosystem using multiple satellite-based models
Feng, Fei1; Li, Xianglan1; Yao, Yunjun2; Liu, Meng2,3,4
2017-08-24
Source PublicationPLOS ONE
ISSN1932-6203
Volume12Issue:8Pages:18
Corresponding AuthorLi, Xianglan(xlli@bnu.edu.cn) ; Yao, Yunjun(boyyunjun@163.com)
AbstractEstimating cropland latent heat flux (LE) from continental to global scales is vital to modeling crop production and managing water resources. Over the past several decades, numerous LE models were developed, such as the moderate resolution imaging spectroradiometer LE (MOD16) algorithm, revised remote sensing-based Penman-Monteith LE algorithm (RRS), the Priestley-Taylor LE algorithm of the Jet Propulsion Laboratory (PT-JPL) and the modified satellite-based Priestley-Taylor LE algorithm (MS-PT). However, these LE models have not been directly compared over the global cropland ecosystem using various algorithms. In this study, we evaluated the performances of these four LE models using 34 eddy covariance (EC) sites. The results showed that mean annual LE for cropland varied from 33.49 to 58.97 W/m(2) among the four models. The interannual LE slightly increased during 1982-2009 across the global cropland ecosystem. All models had acceptable performances with the coefficient of determination (R-2) ranging from 0.4 to 0.7 and a root mean squared error (RMSE) of approximately 35 W/m(2). MS-PT had good overall performance across the cropland ecosystem with the highest R-2, lowest RMSE and a relatively low bias. The reduced performances of MOD16 and RRS, with R-2 ranging from 0.4 to 0.6 and RMSEs from 30 to 39 W/m(2), might be attributed to empirical parameters in the structure algorithms and calibrated coefficients.
DOI10.1371/journal.pone.0183771
WOS KeywordPRIESTLEY-TAYLOR ALGORITHM ; SURFACE SOLAR-RADIATION ; ENERGY-BALANCE ; WATER-VAPOR ; TERRESTRIAL EVAPOTRANSPIRATION ; EDDY-COVARIANCE ; CARBON-DIOXIDE ; CLIMATE-CHANGE ; FLUXNET SITES ; LAND-SURFACE
Indexed BySCI
Language英语
Funding ProjectHigh-Tech Research and Development Program of China[2013AA122801] ; Natural Science Fund of China[41205104] ; Natural Science Fund of China[41201331] ; National Basic Research Program of China[2012CB955302] ; Fundamental Research Funds for the Central Universities[2012LYB38] ; youth talent support program of College of Global Change and Earth System Science[312231103] ; High Resolution Earth Observation Systems of National Science and Technology Major Projects[05-Y30B02-9001-13/15-9]
Funding OrganizationHigh-Tech Research and Development Program of China ; Natural Science Fund of China ; National Basic Research Program of China ; Fundamental Research Funds for the Central Universities ; youth talent support program of College of Global Change and Earth System Science ; High Resolution Earth Observation Systems of National Science and Technology Major Projects
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000408365000118
PublisherPUBLIC LIBRARY SCIENCE
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/61801
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLi, Xianglan; Yao, Yunjun
Affiliation1.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
2.Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Feng, Fei,Li, Xianglan,Yao, Yunjun,et al. Long-term spatial distributions and trends of the latent heat fluxes over the global cropland ecosystem using multiple satellite-based models[J]. PLOS ONE,2017,12(8):18.
APA Feng, Fei,Li, Xianglan,Yao, Yunjun,&Liu, Meng.(2017).Long-term spatial distributions and trends of the latent heat fluxes over the global cropland ecosystem using multiple satellite-based models.PLOS ONE,12(8),18.
MLA Feng, Fei,et al."Long-term spatial distributions and trends of the latent heat fluxes over the global cropland ecosystem using multiple satellite-based models".PLOS ONE 12.8(2017):18.
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