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FY-4A辐射产品在贵州山区的检验与订正

杨帆 罗敬 张东海 何东坡 曾莉萍 吴古会

沙漠与绿洲气象2024,Vol.18Issue(1):134-140,7.
沙漠与绿洲气象2024,Vol.18Issue(1):134-140,7.DOI:10.12057/j.issn.1002-0799.2024.01.017

FY-4A辐射产品在贵州山区的检验与订正

Verification and Correction of FY-4A Solar Radiation Products in Guizhou Mountainous Areas

杨帆 1罗敬 1张东海 2何东坡 1曾莉萍 3吴古会1

作者信息

  • 1. 贵州省气象台,贵州 贵阳 550002
  • 2. 贵州省气候中心,贵州 贵阳 550002
  • 3. 贵州省气象服务中心,贵州 贵阳 550002
  • 折叠

摘要

Abstract

Based on the ground solar irradiance observation data of national meteorological stations(Congjiang,Sansui,Tongzi,Guiyang,Ziyun,Xingren and Weining stations)in the Guizhou mountainous areas from March 12,2018 to February 28,2019,this study tried to verify and correct the accuracy of FY-4A surface solar irradiance(SSI)products.The results show that:(1)The range of FY-4A SSI value is smaller than that of the ground observations.On average,the FY-4A SSI of each station is higher than that of ground observations,and the accuracy under clear sky conditions is much higher than that under cloudy conditions.The deviation is the smallest at noon and the largest in the afternoon.(2)The FY-4A SSI and the ground observed SSI have relatively consistent diurnal and seasonal variations.There is a significant positive correlation between the two,and the correlation coefficient is negatively correlated with altitude.(3)The average deviation tends to decrease with the increase of ground observation.When the ground observed SSI is greater than 800 W·m-2,the FY-4A SSI tends to be lower than that of ground observation.(4)After thresholding the ground observed SSI,the FY-4A SSI is corrected using multiple linear regression.The corrected product has good applicability in Guizhou.

关键词

地面入射太阳辐照度/贵州山区/检验/FY-4A/多元线性回归

Key words

ground solar irradiance/Guizhou mountainous areas/verification/FY-4A/multiple linear regression

分类

天文与地球科学

引用本文复制引用

杨帆,罗敬,张东海,何东坡,曾莉萍,吴古会..FY-4A辐射产品在贵州山区的检验与订正[J].沙漠与绿洲气象,2024,18(1):134-140,7.

基金项目

2021年度泛珠三角科技创新开放基金项目(FZSJ202107) (FZSJ202107)

2022年度贵州省山地气候与资源重点实验室基金项目(QHLQLJ[2022]-03) (QHLQLJ[2022]-03)

沙漠与绿洲气象

OACSTPCD

2097-6801

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