基于FY-2的大气强迫数据构建及模拟检验  

Construction of Atmospheric Forcing Datasets Based on FY-2 and Evaluations

作　　者：杨晓春 师春香[2] 赵荣[1] 沈润平[3] 朱晨[2] 

机构地区：[1]西安市气象局,西安710016 [2]国家气象信息中心,北京100081 [3]南京信息工程大学遥感学院,南京210044

出　　处：《高原气象》2015年第4期1041-1048,共8页Plateau Meteorology

基　　金：科技部公益性行业(气象)科研专项(GYHY201306045;GYHY201206013;GYHY201306022);国家国际科技合作专项(2011DFG23150)

摘　　要：通过陆面模式模拟得到的陆面参数精度易受强迫数据质量的影响,为了提高基于NCEP/NCAR的强迫数据精度,提出了一种新的强迫数据构造方法。该方法以静止气象卫星FY-2的反演产品——逐时降水估计和地面入射太阳辐射数据为基础,结合部分NCEP/NCAR再分析数据构造用于陆面模式模拟的高时空分辨率强迫数据(FYDATA),进一步利用陆面模式CLM3.0模拟得到较高精度的时空间连续的土壤湿度数据。与站点观测数据的比较表明,FYDATA的模拟结果在空间分布和时间变率上与观测数据均较为一致;与再分析数据的模拟结果比较表明,无论是月平均的站点尺度还是区域尺度,FYDATA的模拟结果都优于时空分辨率较粗的NCEP/NCAR再分析数据的模拟结果,充分说明该数据构造方法的有效性。The accuracy of land surface parameters,obtained from the land surface models,is always affected by the quality of atmospheric forcing data. To improve the performance of forcing data based on the NCEP / NCAR,this paper proposes a newmethod to construct an atmospheric forcing data( specifically called FYDATA) for land surface model CLM3. 0. Partially together with the interpolated NCEP / NCAR reanalysis data,this method mainly utilizes the geo- stationary satellite FY- 2 retrieved products including hourly estimated precipitation data and the surface incident solar radiation data,to form the forcing data with high spatial and temporal resolution.When forced by FYDATA,the CLM3. 0 can produce continuous soil moisture datasets with good precision in time and spatial domain. These datasets are accordant in time variation and space distribution when compared with the simulation results using observation data,and better than those of NCEP / NCAR reanalysis data with large- scaled spatial and temporal resolution. All the evaluation results showthat the forcing data construction method is effective.

关 键 词：大气强迫数据 FYDATA 土壤湿度 陆面模式 

分 类 号：P412.27[天文地球—大气科学及气象学]