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The best alternative for estimating reference crop evapotranspiration in different sub-regions of mainland China
Reference crop evapotranspiration (ET (o)) is a critically important parameter for climatological, hydrological and agricultural management. The FAO56 Penman-Monteith (PM) equation has been recommended as the standardized ET (o) (ET (o,s)) equation, but it has a high requirements of climatic data. T...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511263/ https://www.ncbi.nlm.nih.gov/pubmed/28710418 http://dx.doi.org/10.1038/s41598-017-05660-y |
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author | Peng, Lingling Li, Yi Feng, Hao |
author_facet | Peng, Lingling Li, Yi Feng, Hao |
author_sort | Peng, Lingling |
collection | PubMed |
description | Reference crop evapotranspiration (ET (o)) is a critically important parameter for climatological, hydrological and agricultural management. The FAO56 Penman-Monteith (PM) equation has been recommended as the standardized ET (o) (ET (o,s)) equation, but it has a high requirements of climatic data. There is a practical need for finding a best alternative method to estimate ET (o) in the regions where full climatic data are lacking. A comprehensive comparison for the spatiotemporal variations, relative errors, standard deviations and Nash-Sutcliffe efficacy coefficients of monthly or annual ET (o,s) and ET (o,i) (i = 1, 2, …, 10) values estimated by 10 selected methods (i.e., Irmak et al., Makkink, Priestley-Taylor, Hargreaves-Samani, Droogers-Allen, Berti et al., Doorenbos-Pruitt, Wright and Valiantzas, respectively) using data at 552 sites over 1961–2013 in mainland China. The method proposed by Berti et al. (2014) was selected as the best alternative of FAO56-PM because it was simple in computation process, only utilized temperature data, had generally good accuracy in describing spatiotemporal characteristics of ET (o,s) in different sub-regions and mainland China, and correlated linearly to the FAO56-PM method very well. The parameters of the linear correlations between ET (o) of the two methods are calibrated for each site with the smallest determination of coefficient being 0.87. |
format | Online Article Text |
id | pubmed-5511263 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55112632017-07-17 The best alternative for estimating reference crop evapotranspiration in different sub-regions of mainland China Peng, Lingling Li, Yi Feng, Hao Sci Rep Article Reference crop evapotranspiration (ET (o)) is a critically important parameter for climatological, hydrological and agricultural management. The FAO56 Penman-Monteith (PM) equation has been recommended as the standardized ET (o) (ET (o,s)) equation, but it has a high requirements of climatic data. There is a practical need for finding a best alternative method to estimate ET (o) in the regions where full climatic data are lacking. A comprehensive comparison for the spatiotemporal variations, relative errors, standard deviations and Nash-Sutcliffe efficacy coefficients of monthly or annual ET (o,s) and ET (o,i) (i = 1, 2, …, 10) values estimated by 10 selected methods (i.e., Irmak et al., Makkink, Priestley-Taylor, Hargreaves-Samani, Droogers-Allen, Berti et al., Doorenbos-Pruitt, Wright and Valiantzas, respectively) using data at 552 sites over 1961–2013 in mainland China. The method proposed by Berti et al. (2014) was selected as the best alternative of FAO56-PM because it was simple in computation process, only utilized temperature data, had generally good accuracy in describing spatiotemporal characteristics of ET (o,s) in different sub-regions and mainland China, and correlated linearly to the FAO56-PM method very well. The parameters of the linear correlations between ET (o) of the two methods are calibrated for each site with the smallest determination of coefficient being 0.87. Nature Publishing Group UK 2017-07-14 /pmc/articles/PMC5511263/ /pubmed/28710418 http://dx.doi.org/10.1038/s41598-017-05660-y Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Peng, Lingling Li, Yi Feng, Hao The best alternative for estimating reference crop evapotranspiration in different sub-regions of mainland China |
title | The best alternative for estimating reference crop evapotranspiration in different sub-regions of mainland China |
title_full | The best alternative for estimating reference crop evapotranspiration in different sub-regions of mainland China |
title_fullStr | The best alternative for estimating reference crop evapotranspiration in different sub-regions of mainland China |
title_full_unstemmed | The best alternative for estimating reference crop evapotranspiration in different sub-regions of mainland China |
title_short | The best alternative for estimating reference crop evapotranspiration in different sub-regions of mainland China |
title_sort | best alternative for estimating reference crop evapotranspiration in different sub-regions of mainland china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511263/ https://www.ncbi.nlm.nih.gov/pubmed/28710418 http://dx.doi.org/10.1038/s41598-017-05660-y |
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