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.
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
.
DOI: 10.11947/j.AGCS.2017.20160554
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