气候变化领域集成服务门户(CCPortal): Evaluation of Evapotranspiration Models Using Different LAI and Meteorological Forcing Data from 1982 to 2017

CCPortal

DOI	10.3390/rs12152473
	Evaluation of Evapotranspiration Models Using Different LAI and Meteorological Forcing Data from 1982 to 2017
	Chen, Huiling; Zhu, Gaofeng; Zhang, Kun; Bi, Jian; Jia, Xiaopeng; Ding, Bingyue; Zhang, Yang; Shang, Shasha; Zhao, Nan; Qin, Wenhua
通讯作者	Zhu, GF (通讯作者)
发表日期	2020
EISSN	2072-4292
卷号	12 期号:15
英文摘要	We evaluated the performance of three global evapotranspiration (ET) models at local, regional, and global scales using the multiple sets of leaf area index (LAI) and meteorological data from 1982 to 2017 and investigated the uncertainty in ET simulations from the model structure and forcing data. The three ET models were the Simple Terrestrial Hydrosphere model (SiTH) developed by our team, the Priestley-Taylor Jet Propulsion Laboratory model (PT-JPL), and the MODerate Resolution Imaging Spectroradiometer (MODIS) ET algorithm (MOD16). Comparing the observed with simulated monthly ET by the three models over 43 Fluxnet sites, we found that SiTH overestimated ET for forests with mean slope from 1.25 to 1.67, but it performed better than the other two models over short vegetation. MOD16 and PT-JPL models simulated well for forests but poorly in dryland biomes (slope = 0.25 similar to 0.55; R-2 = 0.02 similar to 0.46). At the catchment scale, all models performed well, except for some tropical and high latitudinal catchments, with NSE values lower than 0 and RMSE and MAE values far beyond their mean values. At the global scale, SiTH highly overestimated ET in tropics, while PT-JPL slightly underestimated ET between 30 degrees N and 60 degrees N and MOD16 underestimated ET between 15 degrees S and 30 degrees S. Generally, the PT-JPL provided the better performance than SiTH and MOD16 models. This study also revealed that the estimated ET by SiTH and especially PT-JPL model were influenced by the uncertainty in meteorological data, and the estimated ET was performed better using MERRA-2 datasets for PT-JPL and using ERA5 datasets for SiTH. While the estimated ET by MOD16 were relatively sensitive to LAI data. In addition, our results suggested that the GLOBMAP and GIMMS datasets were more suitable for long-term ET simulations than the GLASS dataset.
关键词	PRIESTLEY-TAYLOR COEFFICIENT LAND-SURFACE MODELS WACMOS-ET PROJECT ENERGY-BALANCE TERRESTRIAL EVAPOTRANSPIRATION LEAF-AREA VEGETATION CONTROL NET-RADIATION FLUX TOWER LONG-TERM
英文关键词	evapotranspiration; LAI; uncertainty; SiTH; MOD16; PT-JPL
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000559525100001
来源期刊	REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259836
推荐引用方式 GB/T 7714	Chen, Huiling,Zhu, Gaofeng,Zhang, Kun,et al. Evaluation of Evapotranspiration Models Using Different LAI and Meteorological Forcing Data from 1982 to 2017[J]. 中国科学院青藏高原研究所,2020,12(15).
APA	Chen, Huiling.,Zhu, Gaofeng.,Zhang, Kun.,Bi, Jian.,Jia, Xiaopeng.,...&Qin, Wenhua.(2020).Evaluation of Evapotranspiration Models Using Different LAI and Meteorological Forcing Data from 1982 to 2017.REMOTE SENSING,12(15).
MLA	Chen, Huiling,et al."Evaluation of Evapotranspiration Models Using Different LAI and Meteorological Forcing Data from 1982 to 2017".REMOTE SENSING 12.15(2020).