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Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification
Zhang, K (Zhang, Kun)1,2; Zhu, GF (Zhu, Gaofeng)1; Ma, JZ (Ma, Jinzhu)1; Yang, YT (Yang, Yuting)3; Shang, SS (Shang, Shasha)1; Gu, CJ (Gu, Chunjie)1
Source PublicationWATER RESOURCES RESEARCH
2019
Volume55Issue:3Pages:2211-2231
DOI10.1029/2018WR023485
Abstract

Accurate estimation of terrestrial evapotranspiration (E) is critical to understand the world's energy and water cycles. MOD16 is the core algorithm of the widely used global E data set (the Moderate Resolution Imaging Spectroradiometer [MODIS] E product). However, it exhibits considerable uncertainties in some regions. Based on the data from 175 flux towers, we identified the key parameters of the MOD16 algorithm using the Sobol' sensitivity analysis method across biomes. The output of the MOD16 algorithm was sensitive to eight parameters. Among them, beta, which is treated as a constant (0.2 kPa) across biomes in the original MOD16 algorithm, was identified as the parameter to which the algorithm was most sensitive. We used the differential-evolution Markov chain method to obtain the proper posterior distributions for each key parameter across a range of biomes. The values of the key parameters for the different biomes were accurately estimated by differential-evolution Markov chain in comparison with data from the flux towers. We then evaluated the performances of the original MOD16 and the optimized MOD16 and compared them at multiple spatial scales (i.e., site, catchment, and global). We obtained relatively consistent and more reliable E simulations using the optimized MOD16 at all three scales. In the future, more attention should be paid to uncertainties in the algorithm's structure and its parameterizations of soil moisture constraint, canopy resistance, and energy partitioning.

Subject AreaEnvironmental Sciences
WOS IDWOS:000464660000024
Language英语
Indexed BySCI
KeywordGlobal Sensitivity-analysis Wacmos-et Project Eddy-covariance Energy-balance Differential Evolution Rainfall Interception Hydrological Model Land Evaporation River-basin Flux Tower
WOS Research AreaEnvironmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
WOS SubjectEnvironmental Sciences ; Limnology ; Water Resources
Cooperation Status国内
ISSN0043-1397
Department环境变化与地表过程
URL查看原文
PublisherAMER GEOPHYSICAL UNION
SubtypeArticle
Citation statistics
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/9376
Collection图书馆
Corresponding AuthorMa, JZ (Ma, Jinzhu)
Affiliation1.Lanzhou Univ, Coll Earth & Environm Sci, Minist Educ, Key Lab Western Chinas Environm Syst, Lanzhou, Gansu, Peoples R China;
2.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing, Peoples R China;
3.Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing, Peoples R China.
Recommended Citation
GB/T 7714
Zhang, K ,Zhu, GF ,Ma, JZ ,et al. Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification[J]. WATER RESOURCES RESEARCH,2019,55(3):2211-2231.
APA Zhang, K ,Zhu, GF ,Ma, JZ ,Yang, YT ,Shang, SS ,&Gu, CJ .(2019).Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification.WATER RESOURCES RESEARCH,55(3),2211-2231.
MLA Zhang, K ,et al."Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification".WATER RESOURCES RESEARCH 55.3(2019):2211-2231.
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