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DOI10.2166/wcc.2017.148
Estimating evapotranspiration using the complementary relationship and the budyko framework
Kim H.; Kaluarachchi J.J.
发表日期2017
ISSN20402244
起始页码771
结束页码790
卷号8期号:4
英文摘要Several models have been developed to estimate evapotranspiration. Among those, the complementary relationship has been the subject of many recent studies because it relies on meteorological data only. Recently, the modified Granger and Gray (GG) model showed its applicability across 34 diverse global sites. While the modified GG model showed better performances compared to the recently published studies, it can be improved for dry conditions and the relative evaporation parameter in the original GG model needs to be further investigated. This parameter was empirically derived from limited data from wet environments in Canada – a possible reason for decreasing performance with dry conditions. This study proposed a refined GG model to overcome the limitation using the Budyko framework and vegetation cover to describe relative evaporation. This study used 75 eddy covariance sites in the USA from AmeriFlux, representing 36 dry and 39 wet sites. The proposed model produced better results with decreasing monthly mean root mean square error of about 30% for dry sites and 15% for wet sites compared to the modified GG model. The proposed model in this study maintains the characteristics of the Budyko framework and the complementary relationship and produced improved evapotranspiration estimates under dry conditions. © IWA Publishing 2017.
英文关键词Budyko framework; Complementary relationship; Evapotranspiration; NDVI
语种英语
scopus关键词Evaporation; Mean square error; Meteorology; Network function virtualization; Budyko framework; Complementary relationship; Dry condition; Eddy covariance; Meteorological data; NDVI; Root mean square errors; Vegetation cover; Evapotranspiration; eddy covariance; error analysis; evapotranspiration; NDVI; numerical model; performance assessment; vegetation cover; Canada; United States
来源期刊Journal of Water and Climate Change
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/148097
作者单位Utah Water Research Laboratory, Utah State University, 1600 Canyon Road, Logan, UT 84321, United States; College of Engineering, Utah State University, 4100 Old Main Hill, Logan, UT 84322-4100, United States
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Kim H.,Kaluarachchi J.J.. Estimating evapotranspiration using the complementary relationship and the budyko framework[J],2017,8(4).
APA Kim H.,&Kaluarachchi J.J..(2017).Estimating evapotranspiration using the complementary relationship and the budyko framework.Journal of Water and Climate Change,8(4).
MLA Kim H.,et al."Estimating evapotranspiration using the complementary relationship and the budyko framework".Journal of Water and Climate Change 8.4(2017).
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