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 Ångström−Prescott formula parameters for China’s agricultural zones for which existing research encountered the problem of spatio-temporal scale disunity. The data, collected from 124 station...
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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 Ångström−Prescott formula parameters for China’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 Ångström−Prescott formula, by area, at 5−50 year-scales, the former taking into account China’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 Ångström−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 Ångström−Prescott formula parameters for China’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 Ångström−Prescott formula, by area, at 5−50 year-scales, the former taking into account China’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 Ångström−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 |
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