Comparative analysis of 31 reference evapotranspiration methods under humid conditions
Evaluation of simple reference evapotranspiration (ET o ) methods has received considerable attention in developing countries where the weather data needed to estimate ET o by the Penman–Monteith FAO 56 (PMF-56) model are often incomplete and/or not available. In this study, eight pan evaporation-ba...
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Published in | Irrigation science Vol. 31; no. 2; pp. 107 - 117 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer-Verlag
01.03.2013
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | Evaluation of simple reference evapotranspiration (ET
o
) methods has received considerable attention in developing countries where the weather data needed to estimate ET
o
by the Penman–Monteith FAO 56 (PMF-56) model are often incomplete and/or not available. In this study, eight pan evaporation-based, seven temperature-based, four radiation-based and ten mass transfer-based methods were evaluated against the PMF-56 model in the humid climate of Iran, and the best and worst methods were selected from each group. In addition, two radiation-based methods for estimating ET
o
were derived using air temperature and solar radiation data based on the PMF-56 model as a reference. Among pan evaporation-based and temperature-based methods, the Snyder and Blaney–Criddle methods yielded the best ET
o
estimates. The ET
o
values obtained from the radiation-based equations developed here were better than those estimated by existing radiation-based methods. The Romanenko equation was the best model in estimating ET
o
among the mass transfer-based methods. Cross-comparison of the 31 tested methods showed that the five best methods as compared with the PMF-56 model were: the two radiation-based equations developed here, the temperature-based Blaney–Criddle and Hargreves-M4 equations and the Snyder pan evaporation-based equation. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0342-7188 1432-1319 |
DOI: | 10.1007/s00271-011-0295-z |