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Relationship between temperature trend magnitude, elevation and mean temperature in the Tibetan Plateau from homogenized surface stations and reanalysis data

机译:均质地面站青藏高原温度趋势幅度,高度与平均温度的关系及再分析数据

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摘要

Temperature trend magnitudes at 71 homogenized surface stations with elevations above 2000 m asl in the eastern and central Tibetan Plateau (TP) and 56 grid points from surface NCEP and ERA-40 reanalyses in the TP's vicinity are examined. Both the surface meteorological stations and ERA-40 show general warming trends at the majority of locations, especially in winter. NCEP fails to identify this. Compared with the surface stations, both NCEP and ERA-40 reanalysis data underestimate air temperature trends in the TP, but ERA-40 is better than NCEP. There are no simple linear relationships between elevation and temperature trend magnitudes on an annual or seasonal basis in the surface data or ERA-40, and in NCEP this relationship is inconsistent. Instead there are significant correlations between mean annual and seasonal temperatures and temperature trend magnitudes in the surface dataset and NCEP data (but not ERA-40). We suggest this is due to cryospheric feedback since trends are enhanced when mean annual temperatures are near freezing. The absence of any simple elevation dependency in temperature trends suggests that the rapid warming rate derived from high elevation ice-cores in this region should be interpreted with caution. In addition, more attention should be given to the selection of reanalysis to represent surface climate in the TP, since topographical differences between grid points and stations, and other reanalysis model differences such as surface land schemes, cause differences in trend identification and patterns in this critical region.
机译:研究了青藏高原东部和中部71个海拔均在2000 m asl以上的均质地面站的温度趋势量值,以及来自TP附近的地面NCEP和ERA-40再分析的56个网格点的温度趋势幅度。地面气象站和ERA-40在大多数地方都表现出总体变暖趋势,尤其是在冬季。 NCEP无法识别这一点。与地面站相比,NCEP和ERA-40的再分析数据都低估了TP中的气温趋势,但ERA-40优于NCEP。在地面数据或ERA-40中,每年或季节性的海拔和温度趋势幅度之间没有简单的线性关系,在NCEP中,这种关系是不一致的。相反,地表数据集和NCEP数据(而不是ERA-40)中的年平均和季节温度与温度趋势幅度之间存在显着的相关性。我们建议这是由于冰冻圈的反馈,因为当年平均温度接近冰点时,趋势会增强。在温度趋势中没有任何简单的海拔依赖性,这表明应谨慎解释该地区高海拔冰芯引起的快速升温速率。另外,应该更多地注意重新分析的选择,以表示TP中的地表气候,因为网格点和站点之间的地形差异以及其他重新分析模型的差异(例如地表方案)会导致趋势识别和模式的差异。关键区域。

著录项

  • 来源
    《Global and planetary change》 |2010年第2期|124-133|共10页
  • 作者单位

    Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences (CAS), Beijing 100085, China Department of Ceoinformatics, Friedrich-Schiller University Jena, Jena 07743, Germany Graduate University of Chinese Academy of Sciences, Beijing 100049, China;

    Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences (CAS), Beijing 100085, China State Key Laboratory of Cryospheric Science, CAS, Lanzhou 730000, China;

    Department of Geography, University of Portsmouth, PO1 3HE, UK;

    Department of Ceoinformatics, Friedrich-Schiller University Jena, Jena 07743, Germany;

    National Climate Center, Beijing 100081, China;

    Department of Ceoinformatics, Friedrich-Schiller University Jena, Jena 07743, Germany;

    Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences (CAS), Beijing 100085, China Graduate University of Chinese Academy of Sciences, Beijing 100049, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    warming trend; elevation dependency; Tibetan Plateau; reanalysis;

    机译:变暖趋势;仰角依赖性青藏高原再分析;

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