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《Advances in Earth Science》 2010-12
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Review of Research of Forcing Data for Regional Scale Hydrological Model

PAN Xiaoduo1,LI Xin1,CHAO Zhenhua1,2(1.Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences,Lanzhou 730000,China;2.Nantong University,Nantong 226007,China)  
Hydrometeological forcing data with high spatio-temperal resolution,such as wind,temperature,pressure,humidity,radiation,precipitation,is needed for driving regional-scale and watershed-scale hydrological,ecological,land models or data simulations system.In this paper,the importance of regional-scal and watershed-scale forcing data is clarified;methods of producing forcing data,such as interpolation based on observation data,reanalysis data,dynamical downscaling method,statistical downscaling method and multi-source information fusion method,are described in detail;some cases about precipitation,radiation,temperature and other variables are given;some case studies on producing forcing data for land data assimilation systems are introduced,such as Global Land Data Assimilation System(GLDAS),European Land Data Assimilation System to predict Floods and Droughts(ELDAS),North American Land Data Assimilation System(NLDAS),Chinese Land Data Assimilation System(CLDAS) and Land Information System(LIS).Finally,existing problems of producing high spatio-temperal forcing data for regional-scale and watershed-scale hydrological,ecological,land models or data simulations system are pointed out in detail,and four proposals are put forward: ①it is difficult to satisfy all forcing variables by one simple method;②it is urgent to provide proper land surface initial condition for dynamical downscaling model;③it is a major method to combine with Doppler radar data,drop size meter and rain gauge observations to improve the accuracy of rainfall;④it is a trend to input remote sensing images into dynamical downscaling model by data assimilation method to generate high spatio-temperal forcing data.Some ideas on preparing forcing data for land surface model of Western China are proposed.
【Fund】: 国家自然科学基金项目“黑河流域高时空分辨率的大气驱动数据研究”(编号:40901202);; 高技术研究发展计划专题课题“多源遥感数据同化通用软件系统研制”(编号:2009AA12Z130);; 财政部/科技部公益类行业专项“中国气候系统协同观测与预测研究——陆面数据同化方法研究”(编号:GYHY200706005)资助
【CateGory Index】: P468
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