Enhancing FY-3E/VASS Humidity Profiles During a Cloudy Atmospheric River Event Using Clear-Sky FY-4B/GIIRS Guidance

Atmospheric rivers (ARs) are characterized by high water vapor content and are frequently accompanied by extensive cloud cover, creating a need for reliable humidity profiles under cloudy conditions. Fengyun-4B/Geostationary Interferometric Infrared Sounder (FY-4B/GIIRS) products provide relatively accurate clear-sky humidity profiles, whereas Fengyun-3E/Vertical Atmospheric Sounding System (FY-3E/VASS) products offer all-sky coverage but retain appreciable humidity errors. This study develops a clear-sky FY-4B/GIIRS-guided framework to enhance cloudy-sky FY-3E/VASS humidity profiles. Spatiotemporally collocated clear-sky profiles are first used to construct humidity residuals, from which principal component analysis extracts a low-dimensional residual basis. A neural network then predicts the corresponding coefficients to generate a baseline correction. Target-day calibration and cloud-condition adjustment further adapt this clear-sky-derived correction to cloudy-sky samples on the target day. The framework is evaluated against ERA5 reanalysis for a preidentified AR event along the eastern coast of China on 6 July 2023, using cloudy-sky samples from the 09:31–09:41 UTC FY-3E overpass. For all cloudy-sky samples from this overpass, the pressure-level-averaged root mean square error (RMSE) decreases by 16.1% over 300–900 hPa and by 20.8% over 700–900 hPa. For cloudy-sky samples in the high-moisture AR subset, the corresponding reductions are 19.7% and 26.6%, respectively. The overlap between the high-moisture masks defined using integrated water vapor (IWV) from FY-3E/VASS and ERA5 increases from 60.7% to 73.9%. The enhanced profiles therefore show improved agreement with ERA5, particularly over 700–900 hPa, and better represent the high-moisture portion of the examined AR event.

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Publication Details

Journal
Remote Sensing
Published
2026-10-09
DOI
https://doi.org/10.3390/rs18203447
Primary Topic
Meteorological Phenomena and Simulations
Type
article
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article

Enhancing FY-3E/VASS Humidity Profiles During a Cloudy Atmospheric River Event Using Clear-Sky FY-4B/GIIRS Guidance

Jieying He, Yang Guo, Hanzhen Yan
Remote Sensing
Meteorological Phenomena and Simulations
article

Enhancing FY-3E/VASS Humidity Profiles During a Cloudy Atmospheric River Event Using Clear-Sky FY-4B/GIIRS Guidance

Jieying He, Yang Guo, Hanzhen Yan
article en

Abstract

Atmospheric rivers (ARs) are characterized by high water vapor content and are frequently accompanied by extensive cloud cover, creating a need for reliable humidity profiles under cloudy conditions. Fengyun-4B/Geostationary Interferometric Infrared Sounder (FY-4B/GIIRS) products provide relatively accurate clear-sky humidity profiles, whereas Fengyun-3E/Vertical Atmospheric Sounding System (FY-3E/VASS) products offer all-sky coverage but retain appreciable humidity errors. This study develops a clear-sky FY-4B/GIIRS-guided framework to enhance cloudy-sky FY-3E/VASS humidity profiles. Spatiotemporally collocated clear-sky profiles are first used to construct humidity residuals, from which principal component analysis extracts a low-dimensional residual basis. A neural network then predicts the corresponding coefficients to generate a baseline correction. Target-day calibration and cloud-condition adjustment further adapt this clear-sky-derived correction to cloudy-sky samples on the target day. The framework is evaluated against ERA5 reanalysis for a preidentified AR event along the eastern coast of China on 6 July 2023, using cloudy-sky samples from the 09:31–09:41 UTC FY-3E overpass. For all cloudy-sky samples from this overpass, the pressure-level-averaged root mean square error (RMSE) decreases by 16.1% over 300–900 hPa and by 20.8% over 700–900 hPa. For cloudy-sky samples in the high-moisture AR subset, the corresponding reductions are 19.7% and 26.6%, respectively. The overlap between the high-moisture masks defined using integrated water vapor (IWV) from FY-3E/VASS and ERA5 increases from 60.7% to 73.9%. The enhanced profiles therefore show improved agreement with ERA5, particularly over 700–900 hPa, and better represent the high-moisture portion of the examined AR event.

Remote SensingVol. 18(20)
China Meteorological Administration (CN), Chinese Academy of Sciences (CN), National Space Science Center (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 19%
Meteorological Phenomena and Simulations
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