FY-3C积雪产品在同化中对微波资料质量控制的影响分析  

Effect of FY-3C snow cover products on the quality control of assimilating satellite microwave sounding data

作　　者：马新园 马刚[2,3] 王云峰 郭杨[2,3] 黄静[4] 佟华 钟波[1] MA Xinyuan MA Gang WANG Yunfeng GUO Yang HUANG Jing TONG Hua ZHONG Bo(PLA University of Science and Technology, Nanjing 211101, China National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China Numerical Weather Prediction Center of China Meteorological Administration, Beijing 100081, China)

机构地区：[1]解放军理工大学,南京211101 [2]国家卫星气象中心,北京100081 [3]中国遥感卫星辐射测量和定标重点开放实验室,北京100081 [4]中国气象局数值预报中心,北京100081

出　　处：《遥感学报》2017年第5期679-688,共10页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家自然科学基金(编号:41375106);公益性行业(气象)科研专项(编号:GYHY201506002;GYHY201506022)~~

摘　　要：T639-GSI全球系统同化AMSU-A资料的过程中,目前使用的月平均积雪产品并不能反映中高纬度大陆上快速地降雪/融雪过程,而FY-3C日积雪产品在时间精度上要高于GSI月平均积雪覆盖数据。由于同化系统对AMSU-A较低通道辐射率资料的质量控制需要依据更准确的地表积雪信息,所以本文结合冬春季节的FY-3C日积雪产品和NCEP再分析资料,研究了北半球中高纬度地区不同积雪覆盖率初值对分析场不同高度层温度场的影响,以及在同化过程中对预报结果的影响。结果表明,在对AMSU-A辐射率资料的质量控制中,月平均积雪数据和日积雪产品对温度场影响较大的区域与两者积雪覆盖差异区域有明显的对应;冬春季节,使用FY-3C日积雪产品代替GSI月平均积雪数据作为背景场中积雪下垫面数据,对进入同化系统的AMSU-A辐射率资料质量控制时,120 h之内1000—600 h Pa的中低层温度场的预报效果得到改善。Inconducting direct assimilation experiments of microwave radiance data AMSU-A with the numerical weather prediction model T639-GSI 3DVAR system, the GSI monthly snow products cannot reflect the process of snow or snow melt in the middle and high latitudes of the northern hemisphere. The precision of the FY-3C snow daily products is higher than GSI snow monthly products. This study investig- ates the effect of different snow coverage values on the temperature field at different heights in the middle and high latitudes of the northern hemisphere. The numerical simulation results in assimilation process are based on the FY-3C SNC real-time snow daily products on January 20, 2016 and March 17, 2016, as well as the NCEP reanalysis data. In the assimilation experiment, we analyzed the distribution of winter snow over the northern hemisphere in January 2016 and that of spring snow over the northern hemisphere in March 2016. This study selects the largest snowpack of the FY-3C snow daily products in the two months as the test data and replaces the snow month products as the snow products of the underlying surface in the background field to reflect the process of snow or snow melt in the middle and high latitudes of the northern hemisphere. The 6-hour forecast results of the T639 model serve as the background of the assimilation experiment. Furthermore, the same assimilation data for all groups are used. The key dif- ferences are as follows. In group A, the winter snow month products are sold as the snow products of the underlying surface in the back- ground field. In group B, the FY-3C snow daily products serve as the snow products of the underlying surface in the background field. Groups C and D are spring tests similar to groups A and B. In the assimilation experiment, we analyzed the distribution of winter snow over in the northern hemisphere in January 2016 and the distribution of spring snow over the northern hemisphere in March 2016. In order to reflect the process of snow or snow melt in the middle and high lat

关 键 词：质量控制 GSI AMSU-A资料同化 FY-3C VIRR积雪数据 

分 类 号：P456.7[天文地球—大气科学及气象学]