Iberia-Azores Gravity Model (IAGRM) using multi-source gravity data

Abstract A consistent high precision and high resolution gravity model in the north-east Atlantic off Iberia peninsula using multi-source gravity data, ship-borne and satellite derived gravity anomalies, is presented. A solution strategy based on least squares optimal interpolation was used to assim...

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Published in:Earth, Planets and Space
Main Author: Catalao, J.
Format: Article in Journal/Newspaper
Language:English
Published: Springer Science and Business Media LLC 2006
Subjects:
Online Access:http://dx.doi.org/10.1186/bf03351924
https://link.springer.com/content/pdf/10.1186/BF03351924.pdf
https://link.springer.com/article/10.1186/BF03351924/fulltext.html
http://link.springer.com/content/pdf/10.1186/BF03351924
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spelling crspringernat:10.1186/bf03351924 2023-05-15T17:38:33+02:00 Iberia-Azores Gravity Model (IAGRM) using multi-source gravity data Catalao, J. 2006 http://dx.doi.org/10.1186/bf03351924 https://link.springer.com/content/pdf/10.1186/BF03351924.pdf https://link.springer.com/article/10.1186/BF03351924/fulltext.html http://link.springer.com/content/pdf/10.1186/BF03351924 en eng Springer Science and Business Media LLC https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ CC-BY Earth, Planets and Space volume 58, issue 3, page 277-286 ISSN 1880-5981 Space and Planetary Science Geology journal-article 2006 crspringernat https://doi.org/10.1186/bf03351924 2022-01-04T15:25:08Z Abstract A consistent high precision and high resolution gravity model in the north-east Atlantic off Iberia peninsula using multi-source gravity data, ship-borne and satellite derived gravity anomalies, is presented. A solution strategy based on least squares optimal interpolation was used to assimilate into a coherent gravity model, gravity data with different spectral and spatial resolutions. Satellite derived gravity anomalies from KMS02 model, with an error covariance of 25 mGal 2 , and marine data carefully edited and validated by bias crossover error adjustment, were used in this study. The observation error variance was determined from ship-borne track adjustment and assigned an independent value for each track determined from error variance propagation. Unbiased ship-borne gravity observations were assimilated into the satellite derived gravity KMS02 model by the least squares optimal interpolation algorithm (OI) with bias removed by applying a regional bias to all ship tracks (OI-b) and alternatively by constraining all ship tracks to KMS02 using bias and tilt (OI-t). External error of the model was determined by comparing with recent surveys and it was verified that OI-t approach improved the final gravity model to an accuracy of about 3 mGal. The effect of different merging approaches on geoid solution was also evaluated and it was verified that the merging process can contribute to improve the geoid accuracy up to 4 cm with the OI-t approach. Article in Journal/Newspaper North East Atlantic Springer Nature (via Crossref) Earth, Planets and Space 58 3 277 286
institution Open Polar
collection Springer Nature (via Crossref)
op_collection_id crspringernat
language English
topic Space and Planetary Science
Geology
spellingShingle Space and Planetary Science
Geology
Catalao, J.
Iberia-Azores Gravity Model (IAGRM) using multi-source gravity data
topic_facet Space and Planetary Science
Geology
description Abstract A consistent high precision and high resolution gravity model in the north-east Atlantic off Iberia peninsula using multi-source gravity data, ship-borne and satellite derived gravity anomalies, is presented. A solution strategy based on least squares optimal interpolation was used to assimilate into a coherent gravity model, gravity data with different spectral and spatial resolutions. Satellite derived gravity anomalies from KMS02 model, with an error covariance of 25 mGal 2 , and marine data carefully edited and validated by bias crossover error adjustment, were used in this study. The observation error variance was determined from ship-borne track adjustment and assigned an independent value for each track determined from error variance propagation. Unbiased ship-borne gravity observations were assimilated into the satellite derived gravity KMS02 model by the least squares optimal interpolation algorithm (OI) with bias removed by applying a regional bias to all ship tracks (OI-b) and alternatively by constraining all ship tracks to KMS02 using bias and tilt (OI-t). External error of the model was determined by comparing with recent surveys and it was verified that OI-t approach improved the final gravity model to an accuracy of about 3 mGal. The effect of different merging approaches on geoid solution was also evaluated and it was verified that the merging process can contribute to improve the geoid accuracy up to 4 cm with the OI-t approach.
format Article in Journal/Newspaper
author Catalao, J.
author_facet Catalao, J.
author_sort Catalao, J.
title Iberia-Azores Gravity Model (IAGRM) using multi-source gravity data
title_short Iberia-Azores Gravity Model (IAGRM) using multi-source gravity data
title_full Iberia-Azores Gravity Model (IAGRM) using multi-source gravity data
title_fullStr Iberia-Azores Gravity Model (IAGRM) using multi-source gravity data
title_full_unstemmed Iberia-Azores Gravity Model (IAGRM) using multi-source gravity data
title_sort iberia-azores gravity model (iagrm) using multi-source gravity data
publisher Springer Science and Business Media LLC
publishDate 2006
url http://dx.doi.org/10.1186/bf03351924
https://link.springer.com/content/pdf/10.1186/BF03351924.pdf
https://link.springer.com/article/10.1186/BF03351924/fulltext.html
http://link.springer.com/content/pdf/10.1186/BF03351924
genre North East Atlantic
genre_facet North East Atlantic
op_source Earth, Planets and Space
volume 58, issue 3, page 277-286
ISSN 1880-5981
op_rights https://creativecommons.org/licenses/by/4.0/
https://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.1186/bf03351924
container_title Earth, Planets and Space
container_volume 58
container_issue 3
container_start_page 277
op_container_end_page 286
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