FY-3C MWHS-Ⅱ辐射率在RMAPS-CA中的同化  

Assimilation of FY-3C MWHS-ⅡRadiance in RMAPS-CA

作　　者：马玉芬[1,2,3,4] 琚陈相 艾力亚尔·艾海提 刘军建 买买提艾力·买买提依明 MA Yufen;JU Chenxiang;Aliyaer Aihaiti;LIU Junjian;Ali Mamtimin(Institute of Desert Meteorology,China Meteorological Administration,Urumqi 830002,China;National Observation and Research Station of Desert Meteorology,Taklimakan Desert of Xinjiang,Urumqi 830002,China;Taklimakan Desert Meteorology Field Experiment Station,China Meteorological Administration,Urumqi 830002,China;Xinjiang Key Laboratory of Desert Meteorology and Sandstorm,Urumqi 830002,China)

机构地区：[1]中国气象局乌鲁木齐沙漠气象研究所,新疆乌鲁木齐830002 [2]新疆塔克拉玛干沙漠气象国家野外科学观测研究站,新疆乌鲁木齐830002 [3]中国气象局塔克拉玛干沙漠气象野外科学试验基地,新疆乌鲁木齐830002 [4]新疆沙漠气象与沙尘暴重点实验室,新疆乌鲁木齐830002

出　　处：《沙漠与绿洲气象》2023年第5期28-37,共10页Desert and Oasis Meteorology

基　　金：中央级公益性科研院所基本科研业务费专项基金项目(IDM2021003);新疆维吾尔自治区自然科学基金(2022D01A369);科技创新团队(天山创新团队)项目(2022TSYCTD0007);新疆气象局引导性项目(YD202302);数值预报—卫星先行计划项目(FY-APP);沙漠所科技发展基金(KJFZ202311)。

摘　　要：中亚地区常规气象观测站点稀疏,同化极轨卫星FY-3C上的Ⅱ型微波湿度探测器(MWHS-Ⅱ)辐射率资料可有效减小该地区数值预报初始场的不确定性。本研究首次在中亚快速更新多尺度资料分析和预报系统RMAPS-CA中同化了FY-3C/MWHS-Ⅱ辐射率,评估了其同化效果。结果表明:(1)单个时次冷启动的同化时间窗口内,仅有56%的辐射率资料通过了质量控制并被RMAPS-CA同化。(2)偏差订正整体减小了各水汽通道的背景场辐射亮温偏差,最大减幅出现在通道14,达0.5 K。通道14偏差订正前的观测辐射亮温和背景场辐射亮温间存在较大偏差,是其同化应用中需要特别注意的。(3)FY-3C/MWHS-Ⅱ辐射率同化整体提高了RMAPS-CA系统对高空温度、位势高度、高空风速等的中短期预报准确率。同时,使得2 m温度和10 m风速的预报准确率预报均方根误差分别平均减小了0.2 K和2 m/s。其同化有效降低了小雨预报的漏报率和空报率,小雨预报的TS评分提升了16%。降低了中雨和大雨预报的漏报率,3个量级降水预报的BIAS评分分别提升了18%、38%和36%。Conventional meteorological observations are sparse in Central Asia.Assimilation of radiance data from the microwave humidity detector(MWHS-Ⅱ)on the polar orbiting satellite FY-3C can effectively reduce the uncertainty of initial field of numerical prediction in this region.With a series steps of quality control and variational bias correction(VarBC),FY-3C/MWHS-Ⅱradiance are assimilated to the rapid cycle and milti-scale analysis and prediction system for Center Asia(RMAPS-CA)for the first time,and its assimilation impact upon forecast precision was then further evaluated.It shows that:(1)Approximately 56%radiance data has been assimilated by RMAPS-CA.(2)Both mean bias(MB)and root mean squared error(RMSE)of the background brightness temperature were reduced by VarBC for majority humidity channels,with the maximum reduction of RMSE 0.5 K at channel 14.The brightness temperature bias at channel 14 between measurements and analysis are relative larger than that at other channels,which worth special attention in assimilation experiments or operationally run.(3)Assimilation of FY-3C/MWHS-Ⅱradiance are capable of uplifting the prediction precision level of air temperature,geopotential height and wind speed in majority atmosphere layers.Meanwhile,the assimilation also improves the forcasting precision of air temperature at altitude 2 m and wind speed at 10 m with RMSE reduction 0.2 K and 2 m/s respectively.In addition,the assimilation effectively reduced the wrongly forecast rate of light rain with precipitation column greater than 0.1 mm per 24 hours,and the threat score of light rain has increased with an amplitude of 16%,which is rather preferable.It reduced the miss-hunted rate of moderate rain with 24-hour accumulated rain-column over 6.1 mm and heavy rain over 12.1 mm,with the bias score of them increased by 18%,38%and 36%,respectively.

关 键 词：FY-3C卫星 湿度传感器MWHS-Ⅱ 质量控制 偏差订正 同化效果评估 

分 类 号：P456.7[天文地球—大气科学及气象学]