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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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) |
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solar radiation reanalysis datasets CERES Gobi region Science Q |
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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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