基于探空資料的西南地區(qū)FY-4A/GIIRS衛(wèi)星溫度廓線產(chǎn)品精度評估

doi:10.12306/2024jms.0013

首頁 > 過刊瀏覽>2025年第45卷第2期 >155-165. DOI:10.12306/2024jms.0013

基于探空資料的西南地區(qū)FY-4A/GIIRS衛(wèi)星溫度廓線產(chǎn)品精度評估
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                        10.12306/2024jms.0013
                    
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中圖分類號:P412.27
基金項目:風云衛(wèi)星應用先行計劃資助項目(FY-APP-2021.0306;FY-APP-2022.0104);衛(wèi)星遙感數(shù)字化應用創(chuàng)新重點實驗室開放研究課題(LRSAI-2025002);重慶市氣象部門人才支持性項目(RCZC-202402);重慶市自然科學基金面上資助項目(este2020ieyi-msxmX1026)

Accuracy study of FY-4A/GIIRS satellite temperature profile based on sounding data in Southwest China

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為檢驗風云四號A星(FY-4A)干涉式大氣垂直探測儀(Geostationary Interferometric Infrared Sounder,GIIRS)反演大氣垂直探測產(chǎn)品(Atmospheric Vertical Detection Products,AVP)中溫度數(shù)據(jù)在西南地區(qū)的精準度,利用探空資料對FY-4A/GIIRS溫度廓線在西南地區(qū)的精度進行了評估,分析無云、有云條件下不同質量控制的溫度廓線反演精度。結果表明:(1) FY-4A/GIIRS反演溫度廓線隨高度呈現(xiàn)波動變化,整體呈現(xiàn)為偏低,偏差為1 K左右。均方根誤差為2~3 K,且隨高度逐漸減小,在250 hPa以下,衛(wèi)星反演溫度和探空站實測溫度的相關系數(shù)總體在0.9以上,相關性較好。(2)西南地區(qū)無云且質量控制為0的衛(wèi)星數(shù)據(jù)反演大氣溫度精度最好,衛(wèi)星反演溫度受云的影響較大,由于平流層與對流層氣體含量不同且有臭氧分布,以及西南地區(qū)多云霧、復雜的下墊面信息,衛(wèi)星反演誤差主要來自對流層和平流層上層以及低層及近地面層。此外,在低層及近地面層,衛(wèi)星反演溫度在無云時均比有云時差,主要原因可能是晴空模式下,下墊面信息影響低層尤其是近地表的紅外通道信息的接收。

Abstract:

To verify the accuracy of temperature data retrieved from Atmospheric Vertical Detection Products(AVP) by the FY-4A Geostationary Interferometric Infrared Sounder(GIIRS) in the Southwest region of China, using sounding data to assess the temperature profiles of GIIRS in the southwestern region, using sounding data to assess the temperature profiles of GIIRS in the southwestern region, and analyze the inversion accuracy of temperature profiles under cloud free, cloudy conditions, and different quality controls. Results show that: (1) the temperature profile of FY-4A/GIIRS inversion varies with altitude fluctuations, with an overall deviation of around 1 K. The Root Mean Square Error (RMSE) is between 2 and 3 K and gradually decreases with altitude, below 250 hPa in the troposphere, the correlation coefficient between satellite retrieved temperature and measured temperature at sounding stations is generally above 0.9, indicating a good correlation. (2) The satellite data with no clouds and a quality control of 0 in the Southwest region has the best accuracy in retrieving atmospheric temperature. The satellite inversion of temperature is greatly affected by clouds. Due to the different gas content and ozone distribution in the stratosphere and troposphere, as well as the complex underlying surface information in the Southwest region, satellite inversion errors mainly come from the upper troposphere and stratosphere, as well as the lower and near ground layers. In addition, in the lower and near surface layers, satellite inversion of temperature is worse in the absence of clouds than in the presence of clouds. The main reason may be that in clear sky mode, the underlying surface information affects the reception of infrared channel information in the lower layers, especially near the surface.

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杜愛軍,楊世琦,鄒雙澤,張勇,張文剛.基于探空資料的西南地區(qū)FY-4A/GIIRS衛(wèi)星溫度廓線產(chǎn)品精度評估.氣象科學,2025,45(2):155-165 DU Aijun, YANG Shiqi, ZOU Shuangze, ZHANG Yong, ZHANG Wengang. Accuracy study of FY-4A/GIIRS satellite temperature profile based on sounding data in Southwest China. Journal of the Meteorological Sciences,2025,45(2):155-165

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收稿日期:2023-10-05
最后修改日期:2023-12-07
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在線發(fā)布日期: 2025-07-03
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