Evaluation of Reanalysis Datasets for Solar Radiation with In Situ Observations at a Location over the Gobi Region of Xinjiang, China

Solar radiation is the most important source of energy on the Earth. The Gobi area in the eastern Xinjiang region, due to its geographic location and climate characteristics, has abundant solar energy resources. In order to provide detailed scientific data supporting solar energy development in this...

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Autores principales: Yu Wang, Xueshang Zhao, Ali Mamtimin, Hajigul Sayit, Simayi Abulizi, Amina Maturdi, Fan Yang, Wen Huo, Chenglong Zhou, Xinghua Yang, Xinchun Liu
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spelling oai:doaj.org-article:758aa6412049479da1b02e0ae33029012021-11-11T18:49:26ZEvaluation of Reanalysis Datasets for Solar Radiation with In Situ Observations at a Location over the Gobi Region of Xinjiang, China10.3390/rs132141912072-4292https://doaj.org/article/758aa6412049479da1b02e0ae33029012021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4191https://doaj.org/toc/2072-4292Solar radiation is the most important source of energy on the Earth. The Gobi area in the eastern Xinjiang region, due to its geographic location and climate characteristics, has abundant solar energy resources. In order to provide detailed scientific data supporting solar energy development in this area, we used ground-based data to evaluate the applicability of the five reanalysis data sources: the Clouds and the Earth’s Radiant Energy System (CERES), the European Center for Medium-Range Weather Forecasts Reanalysis version 5 (ERA5), the Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA2), and the Japanese 55-year Reanalysis (JRA-55). Our results indicated that the CERES data show underestimated short-wave radiation and overestimated long-wave radiation. The correlation coefficients (<i>r</i>) between the ERA5 dataset and the net long-wave and short-wave radiation in observation were 0.92 and 0.91, respectively, and the <i>r</i> between the MERRA2 dataset and the net long-wave and short-wave radiation in observation were both 0.88. The JRA-55 dataset overestimated the long-wave radiation flux and underestimated the short-wave radiation flux. The clearness index (<i>k<sub>t</sub></i>) of all datasets was poor during autumn and winter, the ERA5 estimates were cloudy when the actual condition was sunny, while the JRA-55 estimates were sunny when the actual condition was cloudy. Overall, the radiation flux in the ERA5 dataset had the highest applicability in the Gobi region.Yu WangXueshang ZhaoAli MamtiminHajigul SayitSimayi AbuliziAmina MaturdiFan YangWen HuoChenglong ZhouXinghua YangXinchun LiuMDPI AGarticlesolar radiationreanalysis datasetsCERESGobi regionScienceQENRemote Sensing, Vol 13, Iss 4191, p 4191 (2021)
institution DOAJ
collection DOAJ
language EN
topic solar radiation
reanalysis datasets
CERES
Gobi region
Science
Q
spellingShingle solar radiation
reanalysis datasets
CERES
Gobi region
Science
Q
Yu Wang
Xueshang Zhao
Ali Mamtimin
Hajigul Sayit
Simayi Abulizi
Amina Maturdi
Fan Yang
Wen Huo
Chenglong Zhou
Xinghua Yang
Xinchun Liu
Evaluation of Reanalysis Datasets for Solar Radiation with In Situ Observations at a Location over the Gobi Region of Xinjiang, China
description Solar radiation is the most important source of energy on the Earth. The Gobi area in the eastern Xinjiang region, due to its geographic location and climate characteristics, has abundant solar energy resources. In order to provide detailed scientific data supporting solar energy development in this area, we used ground-based data to evaluate the applicability of the five reanalysis data sources: the Clouds and the Earth’s Radiant Energy System (CERES), the European Center for Medium-Range Weather Forecasts Reanalysis version 5 (ERA5), the Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA2), and the Japanese 55-year Reanalysis (JRA-55). Our results indicated that the CERES data show underestimated short-wave radiation and overestimated long-wave radiation. The correlation coefficients (<i>r</i>) between the ERA5 dataset and the net long-wave and short-wave radiation in observation were 0.92 and 0.91, respectively, and the <i>r</i> between the MERRA2 dataset and the net long-wave and short-wave radiation in observation were both 0.88. The JRA-55 dataset overestimated the long-wave radiation flux and underestimated the short-wave radiation flux. The clearness index (<i>k<sub>t</sub></i>) of all datasets was poor during autumn and winter, the ERA5 estimates were cloudy when the actual condition was sunny, while the JRA-55 estimates were sunny when the actual condition was cloudy. Overall, the radiation flux in the ERA5 dataset had the highest applicability in the Gobi region.
format article
author Yu Wang
Xueshang Zhao
Ali Mamtimin
Hajigul Sayit
Simayi Abulizi
Amina Maturdi
Fan Yang
Wen Huo
Chenglong Zhou
Xinghua Yang
Xinchun Liu
author_facet Yu Wang
Xueshang Zhao
Ali Mamtimin
Hajigul Sayit
Simayi Abulizi
Amina Maturdi
Fan Yang
Wen Huo
Chenglong Zhou
Xinghua Yang
Xinchun Liu
author_sort Yu Wang
title Evaluation of Reanalysis Datasets for Solar Radiation with In Situ Observations at a Location over the Gobi Region of Xinjiang, China
title_short Evaluation of Reanalysis Datasets for Solar Radiation with In Situ Observations at a Location over the Gobi Region of Xinjiang, China
title_full Evaluation of Reanalysis Datasets for Solar Radiation with In Situ Observations at a Location over the Gobi Region of Xinjiang, China
title_fullStr Evaluation of Reanalysis Datasets for Solar Radiation with In Situ Observations at a Location over the Gobi Region of Xinjiang, China
title_full_unstemmed Evaluation of Reanalysis Datasets for Solar Radiation with In Situ Observations at a Location over the Gobi Region of Xinjiang, China
title_sort evaluation of reanalysis datasets for solar radiation with in situ observations at a location over the gobi region of xinjiang, china
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/758aa6412049479da1b02e0ae3302901
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