巩贺,朱琳,黄玫. 2017. 基于多套再分析数据的全球山脉力矩计算及比较分析[J]. 气象学报, ():-, doi:10.11676/qxxb2017.025
基于多套再分析数据的全球山脉力矩计算及比较分析
Calculation and comparison of global mountain torque: A study based on three reanalysis data
投稿时间:2016-10-08  最后修改时间:2016-11-15
DOI:10.11676/qxxb2017.025
中文关键词:  山脉力矩  全球  再分析数据  精度比较
英文关键词:mountain torque  global  reanalysis data  accuracy comparison
基金项目:国家重点基础研究发展计划(2012CB957802)
作者单位E-mail
巩贺 南京信息工程大学 hh_1@sina.com 
朱琳 国家卫星气象中心 zhulin@cma.gov.cn 
黄玫 中国科学院地理科学与资源研究所 huangm@igsnrr.ac.cn 
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中文摘要:
      山脉力矩是地球与大气角动量交换的重要途径之一,为了深刻地理解全球的大气环流变化,比较了NCEP再分析数据、欧洲中心中尺度天气预报再分析数据ECMWF和NASA再分析数据MERRA计算的1979至2012年的全球山脉力矩的时空分布及其年际变化。研究发现三套数据计算的山脉力矩空间分布基本一致,均显示北半球的青藏高原、落基山脉以及南半球的安第斯山脉是对全球山脉力矩贡献最大的三个区域。NCEP数据计算的山脉力矩空间差异和多年变化标准差明显高于其他两套数据,其在纬向上的积分廓线与其他两套数据也差异较大,但是全球积分以后其平均值与标准差与其他两套数据基本一致,而且其在欧亚、南美和北美区域的积分与其他两套数据也没有明显差别,因此NCEP数据适用于大尺度的山脉力矩模拟。在研究空间尺度较小的山脉力矩变化时,建议优先考虑ECMWF和MERRA数据。三套数据对北美地区山脉力矩的计算的一致性较高,其次是欧亚地区,对南美区域山脉力矩计算的一致性则较差,表明北美地区气象数据质量要高于亚洲,南美洲气象数据质量较差。欧亚地球山脉力矩与大西洋-欧洲环流有很好的相关性,北美山脉力矩与太平洋区极涡面积关系密切。
英文摘要:
      Spatial and temporal variation characteristics of global mountain torque are of great important for the atmospheric angular momentum change analysis. Considering computing uncertainty derived from different data source errors, in this paper, three reanalysis datasets including NCEP/NCAR reanalysis, ECMWF (ERA-Interim) reanalysis and NASA MERRA reanalysis data were used to calculate global mountain torque series from 1979-2012, and the spatial and temporal variations of mountain torque were further discussed. At the spatial scale, mountain torque in Tibetan Plateau, Rocky Mountain and Andes Mountain have greatest contributions to global variation. Through standard deviation analysis, it is shown that the standard deviation of NCEP reanalysis data result is higher than other data result. But its Eurasian, South America, North America and global integration have less different with other reanalysis data result. In this way, the NCEP data is suitable for large-scale mountain torques simulation, and suggested to use ECMWF and MERRA data in small spatial scales. It is worth to note that the mountain torque of three data have less difference in North America, and have great difference in South America. It may be that the quality of meteorological data in North America is better than Eurasian or South America region.
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