利用局部高空间分辨率大气数据计算GRACE大气去混频模型
发布时间：2018-12-09 08:31
【摘要】：在计算GRACE重力场反演中的大气去混频模型时,针对ECMWFop或ERA-Interim大气数据空间水平分辨率不足的问题,提出了一种局部区域高空间水平分辨率大气数据与全球大气数据合理拼接融合的方法。利用欧洲局部区域的大气数据与ERA-Interim大气数据融合计算了一组改进的大气去混频模型,从谱域、空域及星间距离变率残差角度分析了改进大气去混频模型的质量。结果表明改进大气去混频模型相对于常规大气去混频模型的质量提高最大比例为1.87%,与AOD1BRL05相对于RL04的提高比例2.27%相当,验证了高空间水平分辨率大气数据确实有助于提高大气去混频模型质量的结论,为改进GRACE提取局部区域特定质量变化信号提供了一种方法。
[Abstract]:When calculating the atmospheric de-mixing model in GRACE gravity field inversion, the spatial horizontal resolution of ECMWFop or ERA-Interim atmospheric data is insufficient. In this paper, a new method of combining the local high spatial resolution atmospheric data with global atmospheric data is presented. A set of improved atmospheric de-mixing models are calculated using the fusion of regional atmospheric data in Europe and ERA-Interim atmospheric data. The quality of the improved atmospheric de-mixing model is analyzed from the angle of spectral domain, spatial domain and the residual angle of variation rate of inter-satellite distance. The results show that the quality of the improved model is 1.87% higher than that of the conventional model, which is equivalent to 2.27% of AOD1BRL05 relative to RL04. The conclusion that high spatial horizontal resolution atmospheric data is helpful to improve the quality of atmospheric demultiplexing model is verified, which provides a method for improving GRACE to extract the specific mass variation signals in local regions.
【作者单位】： 西南交通大学地球科学与环境工程学院;
【基金】：国家自然科学基金(41404018;41574018) 中央高校基本科研业务费专项基金(2682015CX010) 高等学校博士学科点专项科研基金(20120184120006)~~
【分类号】：P223
[Abstract]:When calculating the atmospheric de-mixing model in GRACE gravity field inversion, the spatial horizontal resolution of ECMWFop or ERA-Interim atmospheric data is insufficient. In this paper, a new method of combining the local high spatial resolution atmospheric data with global atmospheric data is presented. A set of improved atmospheric de-mixing models are calculated using the fusion of regional atmospheric data in Europe and ERA-Interim atmospheric data. The quality of the improved atmospheric de-mixing model is analyzed from the angle of spectral domain, spatial domain and the residual angle of variation rate of inter-satellite distance. The results show that the quality of the improved model is 1.87% higher than that of the conventional model, which is equivalent to 2.27% of AOD1BRL05 relative to RL04. The conclusion that high spatial horizontal resolution atmospheric data is helpful to improve the quality of atmospheric demultiplexing model is verified, which provides a method for improving GRACE to extract the specific mass variation signals in local regions.
【作者单位】： 西南交通大学地球科学与环境工程学院;
【基金】：国家自然科学基金(41404018;41574018) 中央高校基本科研业务费专项基金(2682015CX010) 高等学校博士学科点专项科研基金(20120184120006)~~
【分类号】：P223
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