| 河南地区降水量和云量与地面太阳短波辐射的关系 |
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| 引用本文： | 李张群,肖子牛,丁煌,崔方.河南地区降水量和云量与地面太阳短波辐射的关系[J].气候与环境研究,2022,27(4):504-512. |
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| 作者姓名： | 李张群 肖子牛 丁煌 崔方 |
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| 作者单位： | 1.中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点室验室，北京 1000292.中国科学院大学地球与行星科学学院，北京 1000493.中国电力科学研究院有限公司，南京 210003 |
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| 基金项目： | 国家电网有限公司总部科技项目NY71-19-013 |
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| 摘 要： | 对河南省2009~2018年地面太阳短波辐射量与降水量和云量的关系进行了分析，结果表明，地面太阳短波辐射量与降水量、云量具有显著的负相关关系，但在不同季节其相关关系差异较大。为了定量表征三者之间的关系，基于多年再分析资料，利用降水量和云量与地面太阳短波辐射量的关系对日辐射量进行拟合，并对拟合后的日辐射量进行检验。验证结果显示，此考虑季节性变化的回归模型对河南省地面太阳短波辐射有较好的拟合能力，可以作为基于气象预报的日辐射量短期变化评估基础，为光伏发电量的短期预报提供参考。
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| 关 键 词： | 太阳短波辐射 总降水量 总云量 气象要素 |
| 收稿时间： | 2021-04-09 |
Relationship of Surface Solar Shortwave Radiation with Precipitation and Cloud Cover in Henan Province |
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| Zhangqun LI,Ziniu XIAO,Huang DING,Fang CUI.Relationship of Surface Solar Shortwave Radiation with Precipitation and Cloud Cover in Henan Province[J].Climatic and Environmental Research,2022,27(4):504-512. |
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| Authors: | Zhangqun LI Ziniu XIAO Huang DING Fang CUI |
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| Affiliation: | 1.State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 1000292.College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 1000493.China Electric Power Research Institute, Nanjing 210003 |
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| Abstract: | The relationship of Solar Shortwave Radiation Downwards (SSRD) with Total PREcipitation (TPRE) and Total Cloud Cover (TCC) in Henan Province from 2009 to 2018 was analyzed. Results showed that the SSRD in Henan Province has a significant negatively correlation with TPRE and TCC, but the correlation varies in different seasons. In order to quantitatively characterize the relationship among them, the daily SSRD is fitted using TPRE and TCC based on reanalysis data, and the fitted SSRD has been tested. This multiple linear regression model considering seasonal variation of TPRE and TCC shows a good fitting ability for SSRD in Henan Province. These results can be used as a basis for assessing short-term changes in SSRD based on weather forecasts and provide a reference for short-term forecasts of photovoltaic generation. |
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