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基于NCEP资料的我国大气可降水量的计算及其时空分布 被引量:11

Estimation of atmospheric precipitable water in China with NCEP data and its spatio-temporal distribution
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摘要 利用1948—2009年的NCEP再分析资料获取多年平均大气可降水量,分析我国大气可降水量的空间分布和季节变化,并选用2001年的资料与同期探空资料进行对比验证.结果表明:我国大气可降水量的空间分布总趋势是低纬大于高纬,平原大于高原,沿海地区大于内陆地区;季节变化明显,冬季大气可降水量较小,夏季较大;NCEP资料与探空资料的计算结果基本一致. As an important meteorological parameter, atmospheric precipitable water exerts great impact on many climatic processes such as the formation of precipitation, the absorption and emission of radiation, even the formation and change of the whole climate. There are several methods available for calculation of atmospheric precipitable wa- ter. This paper uses the NCEP reanalysis data to obtain multi-year mean atmospheric precipitable water, and analy- ses the spatial distribution and seasonal variation of the atmospheric precipitable water in China, then compares the obtained atmospheric precipitable water data with that form sounding data in the same period. The spatial distribu- tion analysis shows that the atmospheric precipitable water is higher in low latitudes than in high latitudes, higher in plain than in plateau, higher in coastal area than in interior area. The atmospheric precipitable water shows an obvi- ous seasonal variation, which is low in winter, and high in summer. The calculation result of atmospheric precipitable water based on NCEP reanalysis data is close to that from sounding data, and the average relative error is less than 19.5%. Thus the proposed method is applicable on estimation of atmospheric precipitable water in China.
出处 《南京信息工程大学学报(自然科学版)》 CAS 2013年第2期113-119,共7页 Journal of Nanjing University of Information Science & Technology(Natural Science Edition)
基金 国家自然科学基金(41175077) 江苏省普通高校研究生科研创新计划项目(CX10B_300Z) 转基因生物新品种培育科技重大专项(2009ZX08011-019B)
关键词 大气可降水量 NCEP再分析资料 探空资料 空间分布 季节变化 atmospheric precipitable water NCEP reanalysis data sounding data spatial distribution seasonal var-iation
作者简介 刘丹,女,硕士生,主要研究3s集成与气象应用.1iudanl28200@126.com 邱新法(通信作者),男,教授,博士生导师,主要从事资源遥感与地理信息系统应用方面的研究.qiuxinfa@sina.com
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