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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Main Authors: Wu Jinwen, Sun Longyu, Zhang Yushu, Ji Ruipeng, Yu Wenying, Feng Rui
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_03068.pdf
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spelling 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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