驱动数据,再分析资料,陆面同化系统,降尺度方法,中国西部," /> 驱动数据,再分析资料,陆面同化系统,降尺度方法,中国西部,"/> 区域尺度近地表气候要素驱动数据研制的研究综述
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地球科学进展  2010, Vol. 25 Issue (12): 1314-1324    DOI: 10.11867/j.issn.1001-8166.2010.12.1314
综述与评述     
区域尺度近地表气候要素驱动数据研制的研究综述
潘小多1,李新1,钞振华1, 2
1.中国科学院寒区旱区环境与工程研究所,甘肃兰州 730000; 2. 南通大学,江苏南通 226007
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
 全文: PDF(1035 KB)  
摘要:

区域和流域尺度的陆面、水文和生态模拟与同化,都需要高分辨率的大气近地表层风、温、压、湿、辐射、降水等资料作为驱动。介绍了流域尺度驱动数据的重要性,对现阶段大气驱动数据的制备方法进行评论,总结了降水、辐射、气温和其他近地表要素的若干产品,探讨了北美陆面数据同化系统、全球陆面数据同化系统、欧洲陆面数据同化系统和中国西部陆面数据同化系统中大气驱动数据的研究思路和研究成果,最后提出了现阶段制备流域尺度驱动数据存在的问题,并针对中国西部复杂地形的高时空分辨率驱动数据制备提出一些看法。

关键词: 驱动数据')" href="#">

驱动数据再分析资料陆面同化系统降尺度方法中国西部    

Abstract:

 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.

Key words: Forcing data    Reanalyzed data    Land data assimilation system    Downscaling method    Western China
收稿日期: 2010-05-12 出版日期: 2010-12-10
:  P468  
基金资助:

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.

通讯作者: 潘小多     E-mail: panxiaoduo@lzb.ac.cn
作者简介: 潘小多(1978-),女,浙江瑞安人,助理研究员,主要从事陆面过程模拟及陆面数据同化研究中的大气驱动数据集制备及降尺度方法研究.E-mail:panxiaoduo@lzb.ac.cn
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潘小多,李新,钞振华. 区域尺度近地表气候要素驱动数据研制的研究综述[J]. 地球科学进展, 2010, 25(12): 1314-1324.

Pan Xiaoduo, Li Xin, Chao Zhenhua. Review of Research of Forcing Data for Regional Scale Hydrological Model. Advances in Earth Science, 2010, 25(12): 1314-1324.

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http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2010.12.1314        http://www.adearth.ac.cn/CN/Y2010/V25/I12/1314

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