Impact of Atmospheric Transmittance and NLTE Correction on Simulation of High Spectral Infrared Atmospheric Sounder onboard FY-3EOACSTPCD
Impact of Atmospheric Transmittance and NLTE Correction on Simulation of High Spectral Infrared Atmospheric Sounder onboard FY-3E
With the launch of the first civilian early-morning orbit satellite Fengyun-3E(FY-3E),higher demands are placed on the accuracy of radiative transfer simulations for hyperspectral infrared data.Therefore,several key issues are in-vestigated in the paper.First,the accuracy of the fast atmospheric transmittance model implemented in the Advanced Research and Modeling System(ARMS)has been evaluated with both the line-by-line radiative transfer model(LBLRTM)and the actual satellite observations.The results indicate that the biases are generally less than 0.25 K when compared to the LBLRTM,while below 1.0 K for the majority of the channels when compared to the observa-tions.However,during both comparisons,significant biases are observed in certain channels.The accuracy of Hyper-spectral Infrared Atmospheric Sounder-Ⅱ(HIRAS-Ⅱ)onboard FY-3E is comparable to,and even superior to that of the Cross-track Infrared Sounder(CrIS)onboard NOAA-20.Furthermore,apodization is a crucial step in the pro-cessing of hyperspectral data in that the apodization function is utilized as the instrument channel spectral response function to produce the satellite channel-averaged transmittance.To further explore the difference between the apod-ized and unapodized simulations,Sine function is adopted in the fast transmittance model.It is found that the use of Sinc function can make the simulations fit the original satellite observations better.When simulating with apodized observations,the use of Sinc function exhibits larger deviations compared to the Hamming function.Moreover,a cor-rection module is applied to minimize the impact of Non-Local Thermodynamic Equilibrium(NLTE)in the short-wave infrared band.It is verified that the implementation of the NLTE correction model leads to a significant reduc-tion in the bias between the simulation and observation for this band.
Chenggege FANG;Peiming DONG;Yang HAN;Wanlin KAN
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration,Nanjing University of Information Science & Technology,Nanjing 210044Donghai Laboratory,Zhoushan 316021||State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,China Meteorological Administration,Beijing 100081CMA Earth System Modeling and Prediction Centre,China Meteorological Administration(CMA),Beijing 100081Key Laboratory of Transportation Meteorology of China Meteorological Administration,Nanjing Joint Institute for Atmospheric Sciences,Nanjing 210041
high spectral infrared soundingatmospheric transmittanceapodizationNon-Local Thermodynamic EquilibriumFengyun-3E(FY-3E)
《气象学报(英文版)》 2024 (002)
225-234 / 10
Supported by the Startup Project of Donghai Laboratory(DH-2023QD0002),National Key Research and Development Program of China(2021YFB3900400),and Hunan Provincial Natural Science Foundation of China(2021JC0009).
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