Research On Quality Control And Data Fusion Methods Of Multi-source Atmospheric Temperature And Humidity Observation Dat

Atmospheric temperature and humidity are basic parameters of meteorological detection.Continuous and high-quality atmospheric temperature and humidity information plays an important role in studying various weather conditions.In order to fully understand the performance of temperature and humidity detection equipment and improve the accuracy of temperature and humidity profiles,this paper firstly evaluates and revises the temperature and humidity products of ground-based microwave radiometer,Raman lidar and FY4A/GIIRS under different weather conditions,then establishes a fusion model based on optimal estimation theory and combines the advantages of various temperature and humidity detection equipment to improve the accuracy of temperature and humidity profiles under clear and cloud conditions.In view of the limited amount of ground detection equipment data obtained,which can not match enough sounding data,and the high time resolution of ERA5 data can make up for the shortage of sounding data,the ERA5 reanalysis data corrected by sounding is used as the inspection source for error analysis and fusion.The experimental results show that:(1)ERA5 data deviates significantly from sounding data above 4 km,and its accuracy has been improved significantly after sounding correction.Microwave Radiometer(MWR)has the same corrective effect on sunny day and cloud antenna property deviation.The accuracy of temperature and humidity profile in rainy day is the most obvious improvement.The temperature RMSE near 10 km in rainy day decreases by 5 K and the relative humidity RMSE decreases by about 15%.Raman lidar(RAMAN)has a higher accuracy in the middle layer of4-7 km,better detection accuracy in clear days than in clouds,obvious correction effect of temperature profile in 0-2 km,better correction effect of relative humidity profile in 0.7 km and2-3 km.The accuracy of FY4A/GIIRS sunny temperature profile is better than that of two foundation equipment,but the quality of humidity profile is general.FY4A/GIIRS has better correction effect for 0-4 km linear deviation in the lower atmosphere.(2)The best fusing experiment results show that the accuracy of temperature and humidity profiles obtained by the fusing experiment on sunny days is significantly higher than that of cloudy days.RMSE is 1.774 K after sunny day temperature fusion,3.496 K after cloud day temperature fusion,11.633% for sunny day relative humidity and 16.894% for cloud day relative humidity.(3)The precision of temperature and humidity profiles under clear sky can be significantly improved by the experiment of fusion between satellite and ground-based equipment,and the result of fusion between two ground-based equipment is better under cloudy days.In the sunny day temperature experiment,the fusion effect of MWR and FY4A/GIIRS is the best,and the temperature RMSE decreases by 0.223 K and 1.387 K respectively compared with MWR and FY4A/GIIRS.In cloud temperature experiment,MWR and RAMAN have the best integration effect,RMSE decreases 0.46 K compared with RAMAN.MWR and FY4A/GIIRS had the best integration effect in sunny day relative humidity experiment,RMSE reduced 0.29% and 1.961%respectively compared with MWR and FY4A/GIIRS.In cloud-day relative humidity experiment,MWR and RAMAN have the best integration effect,RMSE decreases by 1.047%and 2.495% respectively compared with MWR and RAMAN.