GSTDTAP  > 气候变化
DOI10.1002/2016JD025768
Parameter sensitivity analysis and optimization for a satellite-based evapotranspiration model across multiple sites using Moderate Resolution Imaging Spectroradiometer and flux data
Zhang, Kun1,2; Ma, Jinzhu1,2; Zhu, Gaofeng1,2; Ma, Ting1,2; Han, Tuo1,2; Feng, Li Li1,2
2017
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2017
卷号122期号:1
文章类型Article
语种英语
国家Peoples R China
英文摘要

Global and regional estimates of daily evapotranspiration are essential to our understanding of the hydrologic cycle and climate change. In this study, we selected the radiation-based Priestly-Taylor Jet Propulsion Laboratory (PT-JPL) model and assessed it at a daily time scale by using 44 flux towers. These towers distributed in a wide range of ecological systems: croplands, deciduous broadleaf forest, evergreen broadleaf forest, evergreen needleleaf forest, grasslands, mixed forests, savannas, and shrublands. A regional land surface evapotranspiration model with a relatively simple structure, the PT-JPL model largely uses ecophysiologically-based formulation and parameters to relate potential evapotranspiration to actual evapotranspiration. The results using the original model indicate that the model always overestimates evapotranspiration in arid regions. This likely results from the misrepresentation of water limitation and energy partition in the model. By analyzing physiological processes and determining the sensitive parameters, we identified a series of parameter sets that can increase model performance. The model with optimized parameters showed better performance (R-2=0.2-0.87; Nash-Sutcliffe efficiency (NSE)=0.1-0.87) at each site than the original model (R-2=0.19-0.87; NSE=-12.14-0.85). The results of the optimization indicated that the parameter (water control of soil evaporation) was much lower in arid regions than in relatively humid regions. Furthermore, the optimized value of parameter m(1) (plant control of canopy transpiration) was mostly between 1 to 1.3, slightly lower than the original value. Also, the optimized parameter T-opt correlated well to the actual environmental temperature at each site. We suggest that using optimized parameters with the PT-JPL model could provide an efficient way to improve the model performance.


英文关键词evapotranspiration sensitivity analysis optimization model parameters
领域气候变化
收录类别SCI-E
WOS记录号WOS:000393877800013
WOS关键词LATENT-HEAT FLUX ; TERRESTRIAL ECOSYSTEM PRODUCTION ; PRIESTLEY-TAYLOR ALGORITHM ; CARBON-DIOXIDE EXCHANGE ; ENERGY-BALANCE CLOSURE ; EDDY-COVARIANCE ; HYDROLOGICAL MODEL ; BAYESIAN-APPROACH ; EVAPORATION ; UNCERTAINTY
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/33803
专题气候变化
作者单位1.Lanzhou Univ, Minist Educ, Key Lab Western Chinas Environm Syst, Lanzhou, Peoples R China;
2.Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Kun,Ma, Jinzhu,Zhu, Gaofeng,et al. Parameter sensitivity analysis and optimization for a satellite-based evapotranspiration model across multiple sites using Moderate Resolution Imaging Spectroradiometer and flux data[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(1).
APA Zhang, Kun,Ma, Jinzhu,Zhu, Gaofeng,Ma, Ting,Han, Tuo,&Feng, Li Li.(2017).Parameter sensitivity analysis and optimization for a satellite-based evapotranspiration model across multiple sites using Moderate Resolution Imaging Spectroradiometer and flux data.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(1).
MLA Zhang, Kun,et al."Parameter sensitivity analysis and optimization for a satellite-based evapotranspiration model across multiple sites using Moderate Resolution Imaging Spectroradiometer and flux data".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.1(2017).
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