Calibration and Optimization of the Ångström–Prescott Coefficients for Calculating ET<sub>0</sub> within a Year in China: The Best Corrected Data Time Scale and Optimization Parameters

This study used meteorological data from official data sets to correct &#197;ngstr&#246;m&#8722;Prescott formula parameters for China&#8217;s agricultural zones for which existing research encountered the problem of spatio-temporal scale disunity. The data, collected from 124 station...

Full description

Bibliographic Details
Main Authors: Xingsheng Xia, Xiufang Zhu, Yaozhong Pan, Xizhen Zhao, Jinshui Zhang
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/11/8/1706
id doaj-2ab7616884b6498c9750c90b024706c3
record_format Article
spelling doaj-2ab7616884b6498c9750c90b024706c32020-11-25T01:02:13ZengMDPI AGWater2073-44412019-08-01118170610.3390/w11081706w11081706Calibration and Optimization of the Ångström–Prescott Coefficients for Calculating ET<sub>0</sub> within a Year in China: The Best Corrected Data Time Scale and Optimization ParametersXingsheng Xia0Xiufang Zhu1Yaozhong Pan2Xizhen Zhao3Jinshui Zhang4State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100875, ChinaInstitute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, ChinaThis study used meteorological data from official data sets to correct &#197;ngstr&#246;m&#8722;Prescott formula parameters for China&#8217;s agricultural zones for which existing research encountered the problem of spatio-temporal scale disunity. The data, collected from 124 stations, were used to correct the a<sub>s</sub> and b<sub>s</sub> coefficients of the &#197;ngstr&#246;m&#8722;Prescott formula, by area, at 5&#8722;50 year-scales, the former taking into account China&#8217;s comprehensive agricultural zones. We focused on how the a<sub>s</sub> and b<sub>s</sub> obtained from the different time scales corrected data affected the calculating solar radiation (R<sub>s_c</sub>) precision, determined the optimal time scale for the corrected data, and compared and selected the a<sub>s</sub> and b<sub>s</sub> with the minimum estimation error as the recommended values. The results show that our corrected a<sub>s</sub> and b<sub>s</sub> coefficient values significantly reduce the range of the relative error of R<sub>s_c</sub>, with 10 years being the best time scale for the corrected data. Further, the R<sub>s_c</sub> precisions estimated by a<sub>s</sub> and b<sub>s</sub> coefficients based on the Food and Agriculture Organization of the United Nations (FAO) and the regression result of the best time scale corrected data are inconsistent in different months by area. The best choice in practice is combining the two coefficients and optimizing their use. This study provides a research-based process for standardizing the correction of &#197;ngstr&#246;m&#8722;Prescott formula parameters and selecting the corrected data time scale in China. It would be helpful in improving the calculation accuracy for reference crop evapotranspiration (ET<sub>0</sub>).https://www.mdpi.com/2073-4441/11/8/1706solar radiationÅngström–Prescott formulaparameter calibrationreference crop evapotranspiration
collection DOAJ
language English
format Article
sources DOAJ
author Xingsheng Xia
Xiufang Zhu
Yaozhong Pan
Xizhen Zhao
Jinshui Zhang
spellingShingle Xingsheng Xia
Xiufang Zhu
Yaozhong Pan
Xizhen Zhao
Jinshui Zhang
Calibration and Optimization of the Ångström–Prescott Coefficients for Calculating ET<sub>0</sub> within a Year in China: The Best Corrected Data Time Scale and Optimization Parameters
Water
solar radiation
Ångström–Prescott formula
parameter calibration
reference crop evapotranspiration
author_facet Xingsheng Xia
Xiufang Zhu
Yaozhong Pan
Xizhen Zhao
Jinshui Zhang
author_sort Xingsheng Xia
title Calibration and Optimization of the Ångström–Prescott Coefficients for Calculating ET<sub>0</sub> within a Year in China: The Best Corrected Data Time Scale and Optimization Parameters
title_short Calibration and Optimization of the Ångström–Prescott Coefficients for Calculating ET<sub>0</sub> within a Year in China: The Best Corrected Data Time Scale and Optimization Parameters
title_full Calibration and Optimization of the Ångström–Prescott Coefficients for Calculating ET<sub>0</sub> within a Year in China: The Best Corrected Data Time Scale and Optimization Parameters
title_fullStr Calibration and Optimization of the Ångström–Prescott Coefficients for Calculating ET<sub>0</sub> within a Year in China: The Best Corrected Data Time Scale and Optimization Parameters
title_full_unstemmed Calibration and Optimization of the Ångström–Prescott Coefficients for Calculating ET<sub>0</sub> within a Year in China: The Best Corrected Data Time Scale and Optimization Parameters
title_sort calibration and optimization of the ångström–prescott coefficients for calculating et<sub>0</sub> within a year in china: the best corrected data time scale and optimization parameters
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2019-08-01
description This study used meteorological data from official data sets to correct &#197;ngstr&#246;m&#8722;Prescott formula parameters for China&#8217;s agricultural zones for which existing research encountered the problem of spatio-temporal scale disunity. The data, collected from 124 stations, were used to correct the a<sub>s</sub> and b<sub>s</sub> coefficients of the &#197;ngstr&#246;m&#8722;Prescott formula, by area, at 5&#8722;50 year-scales, the former taking into account China&#8217;s comprehensive agricultural zones. We focused on how the a<sub>s</sub> and b<sub>s</sub> obtained from the different time scales corrected data affected the calculating solar radiation (R<sub>s_c</sub>) precision, determined the optimal time scale for the corrected data, and compared and selected the a<sub>s</sub> and b<sub>s</sub> with the minimum estimation error as the recommended values. The results show that our corrected a<sub>s</sub> and b<sub>s</sub> coefficient values significantly reduce the range of the relative error of R<sub>s_c</sub>, with 10 years being the best time scale for the corrected data. Further, the R<sub>s_c</sub> precisions estimated by a<sub>s</sub> and b<sub>s</sub> coefficients based on the Food and Agriculture Organization of the United Nations (FAO) and the regression result of the best time scale corrected data are inconsistent in different months by area. The best choice in practice is combining the two coefficients and optimizing their use. This study provides a research-based process for standardizing the correction of &#197;ngstr&#246;m&#8722;Prescott formula parameters and selecting the corrected data time scale in China. It would be helpful in improving the calculation accuracy for reference crop evapotranspiration (ET<sub>0</sub>).
topic solar radiation
Ångström–Prescott formula
parameter calibration
reference crop evapotranspiration
url https://www.mdpi.com/2073-4441/11/8/1706
work_keys_str_mv AT xingshengxia calibrationandoptimizationoftheangstromprescottcoefficientsforcalculatingetsub0subwithinayearinchinathebestcorrecteddatatimescaleandoptimizationparameters
AT xiufangzhu calibrationandoptimizationoftheangstromprescottcoefficientsforcalculatingetsub0subwithinayearinchinathebestcorrecteddatatimescaleandoptimizationparameters
AT yaozhongpan calibrationandoptimizationoftheangstromprescottcoefficientsforcalculatingetsub0subwithinayearinchinathebestcorrecteddatatimescaleandoptimizationparameters
AT xizhenzhao calibrationandoptimizationoftheangstromprescottcoefficientsforcalculatingetsub0subwithinayearinchinathebestcorrecteddatatimescaleandoptimizationparameters
AT jinshuizhang calibrationandoptimizationoftheangstromprescottcoefficientsforcalculatingetsub0subwithinayearinchinathebestcorrecteddatatimescaleandoptimizationparameters
_version_ 1725205978104725504