利用局部高空间分辨率大气数据计算GRACE大气去混频模型

doi:10.11947/j.AGCS.2017.20160554

测绘学报 ›› 2017, Vol. 46 ›› Issue (3): 316-324.doi: 10.11947/j.AGCS.2017.20160554

利用局部高空间分辨率大气数据计算GRACE大气去混频模型

游为

西南交通大学地球科学与环境工程学院, 四川成都 611756

收稿日期:2016-11-03 修回日期:2017-01-06 出版日期:2017-03-20 发布日期:2017-04-11
作者简介:游为(1985-),男,博士,讲师,研究方向为卫星重力测量的理论和方法。E-mail:youwei1985@foxmail.com
基金资助:
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）

Using High Spatial-resolution Regional Atmospheric Data for Computation of GRACE Atmospheric De-aliasing Models

YOU Wei

Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China

Received:2016-11-03 Revised:2017-01-06 Online:2017-03-20 Published:2017-04-11
Supported by:
The National Natural Science Foundation of China (Nos. 41404018;41574018);The Fundamental Research Funds for the Central Universities (No. 2682015CX010);Specialized Research Fund for the Doctoral Program of Higher Education (No. 20120184120006)

摘要/Abstract

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AOD1B RL05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。

关键词: 地球重力场, GRACE, 大气去混频模型, 星间距离变率残差

Abstract: Focusing on the problem that the spatial horizontal resolution of ECMWFop or ERA-Interim atmospheric data is not enough for the computation of atmospheric de-aliasing models in GRACE gravity recovery, a method of suitable fusion of local high spatial horizontal resolution atmospheric data and global atmospheric data is proposed. A set of improved atmospheric de-aliasing models is calculated by using the atmospheric data from the local area of Europe and ERA-Interim. The quality of the modified atmospheric de-aliasing models is analyzed from the aspects of spectral domain, spatial domain and satellite-to-satellite range-rate residuals. The results show that the improvement ratio of the improved atmospheric de-aliasing models is 1.87% compared with the conventional atmospheric de-aliasing models, which is comparable to that of the AOD1B RL05 relative to the RL04. It is verified that the atmospheric data with high spatial horizontal resolution could improve the quality of atmospheric de-aliasing models. So it provides a new approach to improve the ability to extract specific mass variation signal in local area using GRACE data.

Key words: Earth gravity field, GRACE, atmospheric de-aliasing models, satellite-to-satellite range-rate residuals

中图分类号:

P228

游为. 利用局部高空间分辨率大气数据计算GRACE大气去混频模型[J]. 测绘学报, 2017, 46(3): 316-324.

YOU Wei. Using High Spatial-resolution Regional Atmospheric Data for Computation of GRACE Atmospheric De-aliasing Models[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(3): 316-324.

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利用局部高空间分辨率大气数据计算GRACE大气去混频模型

Using High Spatial-resolution Regional Atmospheric Data for Computation of GRACE Atmospheric De-aliasing Models

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