干旱区研究

干旱区研究 ›› 2011, Vol. 28 ›› Issue (5): 879-884.

• 气候及预报方法 • 上一篇    下一篇

中国西部地区气温资料的统计降尺度研究

钞振华   

    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 地理科学学院，江苏 南通 226007
  • 收稿日期:2010-11-22 修回日期:2011-03-28 出版日期:2011-09-15 发布日期:2011-10-16
  • 基金资助:

    国家自然科学基金项目(40861022，40501054)；冰冻圈科学国家重点实验室开放基金(SKLCS 2010-01)

Study on Statistical Downscaling of Air Temperature in West China

 CHAO  Zhen-Hua   

    1. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China
    2. College of Geographical Science, Nantong University, Nantong 226007, Jiangsu Province, China
  • Received:2010-11-22 Revised:2011-03-28 Online:2011-09-15 Published:2011-10-16
  • Supported by:

    钞振华(1977-), 男,河南新野人, 讲师, 博士, 主要从事环境遥感和再分析资料的降尺度研究. E-mail: chaozhenhua@lzb.ac.cn

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摘要： 利用再分析资料，通过降尺度方法可以获取陆面过程模型以及陆面数据同化系统所需要的气温、风场、比湿、辐射、降水等高质量驱动数据。通过气温资料的降尺度分析，以ERA-40再分析资料作为背景场，使用地统计学方法建立中国西部气温观测场的观测误差协方差，使用IV方法估计背景误差协方差，利用最优插值法生成了中国西部地区2000年空间分辨率为0.125°×0.125°的逐日气温资料，并分析了该气温分析场的精度。结果表明：统计降尺度方法建立的逐日气温分析场基本上可以反映中国西部地区的气温变化，在地势相对平缓的区域精度较高；而在青藏高原区，其质量相对较低，仍受到地形和站点分布的影响，但相比再分析资料有所提高。

关键词: 气温, 降尺度, 陆面过程模型, 逐日气温, 西部地区, 中国

Abstract: Driving data, such as air temperature, precipitation, wind field, specific humidity and radiation, used in land surface models and land data assimilation system, can be derived using the reanalysis datasets from downscaling. In this study, the statistical downscaling of air temperature data was analyzed based on calculating the observation error covariance in west China using geostatistics, estimating the background error covariance using innovation vector method, and interpolating the daily air temperature data with spatial resolution 0.125°×0.125° in 2000 using optimal interpolation, and the precision of the analyzed air temperature field was also analyzed. The results show that the analyzed daily air temperature can well reflect the change of air temperature in west China and be directly used in land surface models under the gentle topographical conditions. For the QinghaiTibetan Plateau, however, quality of the analyzed air temperature was poor due to the effect of the topography and distribution of weather stations, but it was increased to some extent compared with the reanalyzed data.

Key words: air temperature, downscaling, land surface models, daily air temperature, west China

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