Satellite Gravity Field Recovery Using Variance‐Covariance Information From Ocean Tide Models
Abstract Monthly 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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Geophysical Union (AGU)
2023-10-01
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| Series: | Earth and Space Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2023EA003098 |
| _version_ | 1797648055782080512 |
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| author | Markus Hauk Josefine Wilms Roman Sulzbach Natalia Panafidina Michael Hart‐Davis Christoph Dahle Vitali Müller Michael Murböck Frank Flechtner |
| author_facet | Markus Hauk Josefine Wilms Roman Sulzbach Natalia Panafidina Michael Hart‐Davis Christoph Dahle Vitali Müller Michael Murböck Frank Flechtner |
| author_sort | Markus Hauk |
| collection | DOAJ |
| description | Abstract Monthly 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. |
| first_indexed | 2024-03-11T15:25:32Z |
| format | Article |
| id | doaj.art-cc54c457488d435bae995d6878219db1 |
| institution | Directory Open Access Journal |
| issn | 2333-5084 |
| language | English |
| last_indexed | 2024-03-11T15:25:32Z |
| publishDate | 2023-10-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Earth and Space Science |
| spelling | doaj.art-cc54c457488d435bae995d6878219db12023-10-27T17:48:33ZengAmerican Geophysical Union (AGU)Earth and Space Science2333-50842023-10-011010n/an/a10.1029/2023EA003098Satellite Gravity Field Recovery Using Variance‐Covariance Information From Ocean Tide ModelsMarkus Hauk0Josefine Wilms1Roman Sulzbach2Natalia Panafidina3Michael Hart‐Davis4Christoph Dahle5Vitali Müller6Michael Murböck7Frank Flechtner8Department 1. Geodesy GFZ German Research Centre for Geosciences Potsdam GermanyDepartment 1. Geodesy GFZ German Research Centre for Geosciences Potsdam GermanyDepartment 1. Geodesy GFZ German Research Centre for Geosciences Potsdam GermanyDepartment 1. Geodesy GFZ German Research Centre for Geosciences Potsdam GermanyDeutsches Geodätisches Forschungsinstitut (DGFI‐TUM) Munich GermanyDepartment 1. Geodesy GFZ German Research Centre for Geosciences Potsdam GermanyMax‐Planck‐Institute for Gravitational Physics (Albert‐Einstein‐Institute) Leibniz University Hannover Hannover GermanyDepartment 1. Geodesy GFZ German Research Centre for Geosciences Potsdam GermanyDepartment 1. Geodesy GFZ German Research Centre for Geosciences Potsdam GermanyAbstract Monthly 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.https://doi.org/10.1029/2023EA003098GRACE Follow‐ongravity fieldvariance‐covarianceocean tides |
| spellingShingle | Markus Hauk Josefine Wilms Roman Sulzbach Natalia Panafidina Michael Hart‐Davis Christoph Dahle Vitali Müller Michael Murböck Frank Flechtner Satellite Gravity Field Recovery Using Variance‐Covariance Information From Ocean Tide Models Earth and Space Science GRACE Follow‐on gravity field variance‐covariance ocean tides |
| title | Satellite Gravity Field Recovery Using Variance‐Covariance Information From Ocean Tide Models |
| title_full | Satellite Gravity Field Recovery Using Variance‐Covariance Information From Ocean Tide Models |
| title_fullStr | Satellite Gravity Field Recovery Using Variance‐Covariance Information From Ocean Tide Models |
| title_full_unstemmed | Satellite Gravity Field Recovery Using Variance‐Covariance Information From Ocean Tide Models |
| title_short | Satellite Gravity Field Recovery Using Variance‐Covariance Information From Ocean Tide Models |
| title_sort | satellite gravity field recovery using variance covariance information from ocean tide models |
| topic | GRACE Follow‐on gravity field variance‐covariance ocean tides |
| url | https://doi.org/10.1029/2023EA003098 |
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