典型文献
                One-Dimensional Variational Retrieval of Temperature and Humidity Profiles from the FY4A GIIRS
            文献摘要:
                    A physical retrieval approach based on the one-dimensional variational (1D-Var) algorithm is applied in this paper to simultaneously retrieve atmospheric temperature and humidity profiles under both clear-sky and partly cloudy conditions from FY-4A GIIRS (geostationary interferometric infrared sounder) observations. Radiosonde observations from upper-air stations in China and level-2 operational products from the Chinese National Satellite Meteorological Center (NSMC) during the periods from December 2019 to January 2020 (winter) and from July 2020 to August 2020 (summer) are used to validate the accuracies of the retrieved temperature and humidity profiles. Comparing the 1D-Var-retrieved profiles to radiosonde data, the accuracy of the temperature retrievals at each vertical level of the troposphere is characterized by a root mean square error (RMSE) within 2 K, except for at the bottom level of the atmosphere under clear conditions. The RMSE increases slightly for the higher atmospheric layers, owing to the lack of temperature sounding channels there. Under partly cloudy conditions, the temperature at each vertical level can be obtained, while the level-2 operational products obtain values only at altitudes above the cloud top. In addition, the accuracy of the retrieved temperature profiles is greatly improved compared with the accuracies of the operational products. For the humidity retrievals, the mean RMSEs in the troposphere in winter and summer are both within 2 g kg–1. Moreover, the retrievals performed better compared with the ERA5 reanalysis data between 800 hPa and 300 hPa both in summer and winter in terms of RMSE.
                文献关键词:
                    
                中图分类号:
                    作者姓名:
                    
                        Qiumeng XUE;Li GUAN;Xiaoning SHI
                    
                作者机构:
                    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 and Technology,Nanjing 210044,China;Department of Mathematics,University of Wisconsin-Madison,Madison 53706,USA
                文献出处:
                    
                引用格式:
                    
                        [1]Qiumeng XUE;Li GUAN;Xiaoning SHI-.One-Dimensional Variational Retrieval of Temperature and Humidity Profiles from the FY4A GIIRS)[J].大气科学进展(英文版),2022(03):471-486
                    
                A类:
                Radiosonde,NSMC,retrievals
                B类:
                    One,Dimensional,Variational,Retrieval,Temperature,Humidity,Profiles,from,FY4A,GIIRS,physical,approach,one,dimensional,variational,1D,algorithm,applied,this,paper,simultaneously,atmospheric,temperature,humidity,profiles,both,clear,sky,partly,cloudy,conditions,geostationary,interferometric,infrared,sounder,observations,upper,air,stations,China,level,operational,products,Chinese,National,Satellite,Meteorological,Center,during,periods,December,January,winter,July,August,summer,used,validate,accuracies,retrieved,Comparing,radiosonde,data,accuracy,each,vertical,troposphere,characterized,by,root,mean,square,error,within,except,bottom,atmosphere,increases,slightly,higher,layers,owing,lack,sounding,channels,there,Under,can,obtained,while,values,only,altitudes,above,top,In,addition,greatly,improved,compared,For,RMSEs,Moreover,performed,better,ERA5,reanalysis,between,hPa,terms
                AB值:
                    0.512679
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