کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10141991 | 1646086 | 2018 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
First assessment of surface solar irradiance derived from Himawari-8 across China
ترجمه فارسی عنوان
اولین ارزیابی سطح تابش خورشیدی از هیمواری -8 در سراسر چین است
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کلمات کلیدی
تابش سطح خورشید، هیمواری 8، سرن، اعتبار سنجی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
The Advanced Himawari Imager (AHI) aboard Himawari-8, a new generation geostationary satellite with high spatiotemporal resolution, was launched in 2014 and operated by the Japan Meteorological Agency. The released AHI surface solar irradiance (SSI) product by the Japan Aerospace Agency (JAXA) has great potential in application of study on energy budget, solar energy and ecosystem etc. In this study, the JAXA AHI SSI products are evaluated using the Chinese Ecosystem Research Network (CERN) pyranometer measurements during March-December 2016 at 36 sites in China. The AHI SSI products are correlated to surface measurements very well. The daily and monthly AHI SSI products on all-sky conditions show mean bias errors of 13.8 and 13.3â¯Wâ¯mâ2 relative to corresponding CERN measurements. The AHI SSI products are close to CERN data in summer, however they are significantly lower in winter. The significant positive bias of AHI SSI in the North China Plain very likely resulted from the underestimation of aerosol optical depth (AOD) by AHI. In contrast, the negative bias of SSI in high elevation stations is likely related to the improper input of atmospheric profile. All these error factors need further improvement in the AHI SSI algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Solar Energy - Volume 174, 1 November 2018, Pages 164-170
Journal: Solar Energy - Volume 174, 1 November 2018, Pages 164-170
نویسندگان
Hongrong Shi, Weiwei Li, Xuehua Fan, Jinqiang Zhang, Bo Hu, Letu Husi, Huazhe Shang, Xinlei Han, Zijue Song, Yingjie Zhang, Shu Wang, Hongbin Chen, Xiang'ao Xia,