Příspěvek letecké gravimetrie v rámci projektu GRAV-D ke zlepšení regionálního modelování geoidu v Coloradu, USA
| Autor: | Tomislav Bašić, Martin Pitoňák, Pavel Novák, Matej Varga |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Gravity (chemistry)
010504 meteorology & atmospheric sciences Regional geoid modelling 010502 geochemistry & geophysics 01 natural sciences Airborne gravity Gravimetric geoid GRAV-D project Least-squares modification of Stokes’ formula with additive corrections Standard deviation Gravity anomaly Physics::Geophysics General Relativity and Quantum Cosmology Geochemistry and Petrology projekt GRAV-D Geoid modifikace Stokesova vzorce s aditivními korekcemi Computers in Earth Sciences 0105 earth and related environmental sciences Levelling Anomaly (natural sciences) regionální modelování geoidu gravimetrický geoid Surface gravity Geodesy Geophysics Letecká tíže GNSS applications Geology |
| Zdroj: | Journal of Geodesy, 95 (5) |
| ISSN: | 1432-1394 0949-7714 |
| DOI: | 10.1007/s00190-021-01494-9 |
| Popis: | This paper studies the contribution of airborne gravity data to improvement of gravimetric geoid modelling across the mountainous area in Colorado, USA. First, airborne gravity data was processed, filtered, and downward-continued. Then, three gravity anomaly grids were prepared; the first grid only from the terrestrial gravity data, the second grid only from the downward-continued airborne gravity data, and the third grid from combined downward-continued airborne and terrestrial gravity data. Gravimetric geoid models with the three gravity anomaly grids were determined using the least-squares modification of Stokes’ formula with additive corrections (LSMSA) method. The absolute and relative accuracy of the computed gravimetric geoid models was estimated on GNSS/levelling points. Results exhibit the accuracy improved by 1.1 cm or 20% in terms of standard deviation when airborne and terrestrial gravity data was used for geoid computation, compared to the geoid model computed only from terrestrial gravity data. Finally, the spectral analysis of surface gravity anomaly grids and geoid models was performed, which provided insights into specific wavelength bands in which airborne gravity data contributed and improved the power spectrum. Journal of Geodesy, 95 (5) ISSN:0949-7714 ISSN:1432-1394 |
| Databáze: | OpenAIRE |
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