Long-term spatial distributions and trends of the latent heat fluxes over the global cropland ecosystem using multiple satellite-based models

doi:10.1371/journal.pone.0183771

	Long-term spatial distributions and trends of the latent heat fluxes over the global cropland ecosystem using multiple satellite-based models
	Feng, Fei 1; Li, Xianglan 1; Yao, Yunjun 2; Liu, Meng 2,3,4
刊名	PLOS ONE
	2017-08-24
卷号	12 期号:8 页码:18
ISSN号	1932-6203
DOI	10.1371/journal.pone.0183771
通讯作者	Li, Xianglan(xlli@bnu.edu.cn) ; Yao, Yunjun(boyyunjun@163.com)
英文摘要	Estimating 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.
资助项目	High-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]
WOS关键词	PRIESTLEY-TAYLOR ALGORITHM ; SURFACE SOLAR-RADIATION ; ENERGY-BALANCE ; WATER-VAPOR ; TERRESTRIAL EVAPOTRANSPIRATION ; EDDY-COVARIANCE ; CARBON-DIOXIDE ; CLIMATE-CHANGE ; FLUXNET SITES ; LAND-SURFACE
WOS研究方向	Science & Technology - Other Topics
语种	英语
出版者	PUBLIC LIBRARY SCIENCE
WOS记录号	WOS:000408365000118
资助机构	High-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
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/61800]
专题	中国科学院地理科学与资源研究所
通讯作者	Li, Xianglan; Yao, Yunjun
作者单位	1.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
推荐引用方式 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.