Study on Remote Sensing Inversion of Atmospheric Water Vapor Content Based on FY3B/MERSI Data
Atmospheric water vapor plays a vital role in global climate change. It not only affects local weather and climate but also influences the global water cycle and energy balance. Therefore, an accurate understanding of the atmospheric water vapor content and its changes are of great importance for fo...
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EDP Sciences
2021-01-01
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doaj-8f75cc03f744460590280bfda915f8b42021-05-28T12:42:13ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012570306810.1051/e3sconf/202125703068e3sconf_aesee2021_03068Study on Remote Sensing Inversion of Atmospheric Water Vapor Content Based on FY3B/MERSI DataWu JinwenSun Longyu0Zhang YushuJi RuipengYu WenyingFeng RuiShenyang Meteorological Bureau, Hunnan DistrictAtmospheric water vapor plays a vital role in global climate change. It not only affects local weather and climate but also influences the global water cycle and energy balance. Therefore, an accurate understanding of the atmospheric water vapor content and its changes are of great importance for forecasting climate, understanding global climate change, and studying the greenhouse effect. In this paper, the inversion of atmospheric water vapor content was conducted by FY3B/MERSI data, and verification was made by comparing with the sounding data, ground water vapor pressure data, and AQUA/MODIS water vapor content data. The results show that FY3B/MERSI atmospheric water vapor content has a significant positive correlation with the sounding water vapor content, ground water vapor pressure data, and AQUA/MODIS water vapor content data. Among them, the correlation with the sounding water vapor content is the most significant. An inversion correction model of MERSI atmospheric water vapor content can be established to improve the inversion accuracy.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_03068.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wu Jinwen Sun Longyu Zhang Yushu Ji Ruipeng Yu Wenying Feng Rui |
spellingShingle |
Wu Jinwen Sun Longyu Zhang Yushu Ji Ruipeng Yu Wenying Feng Rui Study on Remote Sensing Inversion of Atmospheric Water Vapor Content Based on FY3B/MERSI Data E3S Web of Conferences |
author_facet |
Wu Jinwen Sun Longyu Zhang Yushu Ji Ruipeng Yu Wenying Feng Rui |
author_sort |
Wu Jinwen |
title |
Study on Remote Sensing Inversion of Atmospheric Water Vapor Content Based on FY3B/MERSI Data |
title_short |
Study on Remote Sensing Inversion of Atmospheric Water Vapor Content Based on FY3B/MERSI Data |
title_full |
Study on Remote Sensing Inversion of Atmospheric Water Vapor Content Based on FY3B/MERSI Data |
title_fullStr |
Study on Remote Sensing Inversion of Atmospheric Water Vapor Content Based on FY3B/MERSI Data |
title_full_unstemmed |
Study on Remote Sensing Inversion of Atmospheric Water Vapor Content Based on FY3B/MERSI Data |
title_sort |
study on remote sensing inversion of atmospheric water vapor content based on fy3b/mersi data |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2021-01-01 |
description |
Atmospheric water vapor plays a vital role in global climate change. It not only affects local weather and climate but also influences the global water cycle and energy balance. Therefore, an accurate understanding of the atmospheric water vapor content and its changes are of great importance for forecasting climate, understanding global climate change, and studying the greenhouse effect. In this paper, the inversion of atmospheric water vapor content was conducted by FY3B/MERSI data, and verification was made by comparing with the sounding data, ground water vapor pressure data, and AQUA/MODIS water vapor content data. The results show that FY3B/MERSI atmospheric water vapor content has a significant positive correlation with the sounding water vapor content, ground water vapor pressure data, and AQUA/MODIS water vapor content data. Among them, the correlation with the sounding water vapor content is the most significant. An inversion correction model of MERSI atmospheric water vapor content can be established to improve the inversion accuracy. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_03068.pdf |
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