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An Improved Method for Modeling Spatial Distribution of δD in Surface Snow over Antarctic Ice Sheet

机译:南极冰盖表面雪中δd空间分布的改进方法

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摘要

Using the recent compilation of the isotopic composition data of surface snow of Antarctic ice sheet, we proposed an improved interpolation method of δD, which utilizes geographical factors (i.e., latitude and altitude) as the primary predictors and incorporates inverse distance weighting (IDW) technique. The method was applied to a high-resolution digital elevation model (DEM) to produce a grid map of multi-year mean δD values with 1km spatial resolution for Antarctic& The mean absolute deviation between observed and estimated data in the map is about 5.4‰, and the standard deviation is 9‰. The resulting δD pattern resembles well known characteristics such as the depletion of the heavy isotopes with increasing latitude and distance from coast line, but also reveals the complex topographic effects.
机译:利用最近编辑南极冰盖的表面雪的同位素组成数据,我们提出了一种改进的ΔD插值方法,其利用地理因子(即,纬度和高度)作为主要预测器并包含逆距离加权(IDW)技术。该方法应用于高分辨率数字高度模型(DEM),以产生多年平均值ΔD值的网格图,其中1km空间分辨率用于南极,地图中观察和估计数据之间的平均绝对偏差约为5.4‰,标准偏差为9‰。所得到的ΔD模式类似于众所周知的特征,例如随着距离海岸线的纬度和距离的沉重同位素的耗尽,但也揭示了复杂的地形效果。

著录项

  • 来源
    《中国地理科学(英文版)》 |2009年第2期|120-125|共6页
  • 作者单位

    State Key Laboratory of Cryospheric Science Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou 730000 China;

    State Key Laboratory of Cryospheric Science Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou 730000 China;

    AClimate Change Institute University of Maine Orone ME 04469 USA;

    State Key Laboratory of Cryospheric Science Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou 730000 China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 地理;
  • 关键词

  • 入库时间 2022-08-19 04:47:42
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