Surface Soil Moisture Simulation for a Typical Torrential Event with a Modified Noah LSM Coupling to the NWP Model  

作　　者：ZHENG Zi-Yan ZHANG Wan-Chang XU Jing-Wen YAN Zhong-Wei LU Xue-Mei 

机构地区：[1]Key Laboratory of Regional Climate-Environment Research for Temperate East Asia （RCE-TEA）, Institute of Atmospheric Physics Chinese Academy of Sciences, Beijing 100029, China [2]Graduate University of Chinese Academy of Seiences, Beijing 100049, China [3]Center for Hydro-Sciences Research, Nanjing University, Nanjing 210093, China [4]College of Resources and Environment, Sichuan Agricultural University, Yaan 625014, China Linyi Meteorological Bureau, Linyi 276004, China [5]Linyi Meteorological Bureau, Linyi 276004, China

出　　处：《Atmospheric and Oceanic Science Letters》2011年第1期18-23,共6页大气和海洋科学快报（英文版）

基　　金：funded by the National BasicResearch Program of China (Grant No. 2010CB951404);the National Natural Science Foundation of China (Grant No. 40971024);CMA Special Meteorology Project (Grant No.GYHY200706001)

摘　　要：Surface soil moisture has great impact on both meso-and microscale atmospheric processes,especially on severe local convection processes and on the dynamics of short-lived torrential rains.To promote the performance of the land surface model (LSM) in surface soil moisture simulations,a hybrid hydrologic runoff parameterization scheme based upon the essential modeling theories of the Xin'anjiang model and Topography based hydrological Model (TOPMODEL) was developed in preference to the simple water balance model (SWB) in the Noah LSM.Using a strategy for coupling and integrating this modified Noah LSM to the Global/Regional Assimilation and Prediction System (GRAPES) analogous to that used with the standard Noah LSM,a simulation of atmosphere-land surface interactions for a torrential event during 2007 in Shandong was attempted.The results suggested that the surface,10-cm depth soil moisture simulated by GRAPES using the modified hydrologic approach agrees well with the observations.Improvements from the simulated results were found,especially over eastern Shandong.The simulated results,compared with the products of the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) soil moisture datasets,indicated a consistent spatial pattern over all of China.The temporal variation of surface soil moisture was validated with the data at an observation station,also demonstrated that GRAPES with modified Noah LSM exhibits a more reasonable response to precipitation events,even though biases and systematic trends may still exist.Surface soil moisture has great impact on both meso- and microscale atmospheric processes, especially on severe local convection processes and on the dynamics of short-lived torrential rains. To promote the performance of the land surface model （LSM） in surface soil moisture simulations, a hybrid hydrologic runoff parame- terization scheme based upon the essential modeling theories of the Xin＇anjiang model and Topography based hydrological Model （TOPMODEL） was developed in preference to the simple water balance model （SWB） in the Noah LSM. Using a strategy for coupling and inte- grating this modified Noah LSM to the Global/Regional Assimilation and Prediction System （GRAPES） analo- gous to that used with the standard Noah LSM, a simulation of atmosphere-land surface interactions for a torrential event during 2007 in Shandong was attempted. The results suggested that the surface, 10-cm depth soil mois- ture simulated by GRAPES using the modified hydrologic approach agrees well with the observations. Improve- ments from the simulated results were found, especially over eastern Shandong. The simulated results, compared with the products of the Advanced Microwave Scanning Radiometer-Earth Observing System （AMSR-E） soil moisture datasets, indicated a consistent spatial pattern over all of China. The temporal variation of surface soil moisture was validated with the data at an observation station, also demonstrated that GRAPES with modified Noah LSM exhibits a more reasonable response to precipitation events, even though biases and systematic trends may still exist.

关 键 词：soil moisture Noah LSM hydrologic runoff parameterization Numerical Weather Prediction （NWP） model 

分 类 号：P532[天文地球—古生物学与地层学] S152.7[天文地球—地质学]