Satellite Gravity Field Recovery Using Variance‐Covariance Information From Ocean Tide Models

Author:

Hauk Markus123ORCID,Wilms Josefine1ORCID,Sulzbach Roman14ORCID,Panafidina Natalia1,Hart‐Davis Michael56ORCID,Dahle Christoph1ORCID,Müller Vitali2,Murböck Michael17ORCID,Flechtner Frank17ORCID

Affiliation:

1. Department 1. Geodesy GFZ German Research Centre for Geosciences Potsdam Germany

2. Max‐Planck‐Institute for Gravitational Physics (Albert‐Einstein‐Institute) Leibniz University Hannover Hannover Germany

3. German Aerospace Center (DLR) Institute for Satellite Geodesy and Inertial Sensing Hannover Germany

4. Freie Universität Berlin Berlin Germany

5. Deutsches Geodätisches Forschungsinstitut (DGFI‐TUM) Munich Germany

6. Technical University of Munich Munich Germany

7. Institute of Geodesy and Geoinformation Science Technische Universität Berlin Berlin Germany

Abstract

AbstractMonthly gravity field recovery using data from the GRACE and GRACE Follow‐On missions includes errors limiting the spatial and temporal resolution of the estimated gravity fields. The major error contributions, besides the noise of the accelerometer instruments, arise from temporal aliasing errors due to imperfections in the non‐tidal atmospheric and oceanic de‐aliasing models and ocean tide models. We derive uncertainty information for the eight major tidal constituents from five different ocean tide models and introduce it into the gravity field recovery process in terms of a constrained normal equation system while expanding the parameter space by additional tidal parameters to be adjusted. We prove the effectiveness of the ocean tide variance‐covariance information through realistic simulations and we assess its potential based on microwave and laser interferometer observations from the GRACE Follow‐On mission. We show that errors are reduced by more than 20% ocean wRMS for a Gaussian filter radius of 300 km if uncertainty information for ocean tides is considered and stochastic modeling of instrument errors is applied, compared to the latest GFZ release 6.1. Our results also show the limited visibility of the effectiveness of the ocean tide variance‐covariance information due to the dominating error contribution of non‐tidal atmospheric and oceanic mass variations. Additionally, we investigate the option of estimating ocean tide parameters over a 1‐year period while including ocean tide uncertainty information in order to improve ocean tide background modeling.

Funder

Deutsche Forschungsgemeinschaft

European Space Agency

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

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