Marine gravity and bathymetry modelling from recent satellite altimetry

Marine gravity has been modelled from satellite radar altimetry for more than two decades. Range precision and spatial coverage of altimetry observations are the main factors limiting the accuracy of predicted gravity field. Since 2010, CryoSat-2 has been measuring sea surface heights with a 369-day...

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Main Author: Abulaitijiang, Adili
Format: Book
Language:English
Published: Technical University of Denmark 2019
Subjects:
Online Access:https://orbit.dtu.dk/en/publications/b3a3b2c6-b23f-454c-8060-e56aef96c385
https://backend.orbit.dtu.dk/ws/files/190978673/AAA_Dissertation_print_FINAL_.pdf
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spelling ftdtupubl:oai:pure.atira.dk:publications/b3a3b2c6-b23f-454c-8060-e56aef96c385 2023-05-15T15:15:25+02:00 Marine gravity and bathymetry modelling from recent satellite altimetry Abulaitijiang, Adili 2019 application/pdf https://orbit.dtu.dk/en/publications/b3a3b2c6-b23f-454c-8060-e56aef96c385 https://backend.orbit.dtu.dk/ws/files/190978673/AAA_Dissertation_print_FINAL_.pdf eng eng Technical University of Denmark info:eu-repo/semantics/openAccess Abulaitijiang , A 2019 , Marine gravity and bathymetry modelling from recent satellite altimetry . Technical University of Denmark , Kgs. Lyngby . /dk/atira/pure/sustainabledevelopmentgoals/life_below_water SDG 14 - Life Below Water book 2019 ftdtupubl 2022-08-14T08:35:24Z Marine gravity has been modelled from satellite radar altimetry for more than two decades. Range precision and spatial coverage of altimetry observations are the main factors limiting the accuracy of predicted gravity field. Since 2010, CryoSat-2 has been measuring sea surface heights with a 369-day repeat cycle. By combining these high precision and dense CryoSat-2 observations with Jason-1 and SARAL/Altika geodetic mission data, the accuracy of marine gravity is expected to improve not only over the open ocean, but also near the coastal zone. This study aims to improve the gravity field near the coastal zone using least square collocation algorithm. CryoSat-2 observations obtained from different retrackers are used. Residual Terrain Modelling (RTM) is considered during the modelling process. The resolution of digital topography (including bathymetry) is the limiting factor in the application of RTM. Results from Mediterranean case study show that RTM is partly effective in reducing the residual height anomalies. Sediments in the deep ocean and constant density assumptions are believed to be the error sources. Prediction error for gravity anomalies is better than 4 mGal along the coast. Gravity field predicted from altimetry data with the most coastal coverage and retracked with the narrow primary peak retracker gives the best precision of 2.07 mGal. In the Indonesian case study, height anomalies are reduced by removing RTM effects. Strong signal in the remaining residual field suggests long wavelength problems from Earth Gravitational Model 2008 (EGM08). Existing Arctic bathymetry is compiled from sparse ship soundings and digitized depth contours. Sea floor topography can be inverted from downward continued marine gravity anomalies in a limited wavelength band. Based on the original filter presented in Smith and Sandwell (1994), a modified version, which limits the prediction to the 15-57 km wavelength band, is proposed and successfully used for bathymetry inversion from gravity anomalies. In this study, the ... Book Arctic Technical University of Denmark: DTU Orbit Arctic
institution Open Polar
collection Technical University of Denmark: DTU Orbit
op_collection_id ftdtupubl
language English
topic /dk/atira/pure/sustainabledevelopmentgoals/life_below_water
SDG 14 - Life Below Water
spellingShingle /dk/atira/pure/sustainabledevelopmentgoals/life_below_water
SDG 14 - Life Below Water
Abulaitijiang, Adili
Marine gravity and bathymetry modelling from recent satellite altimetry
topic_facet /dk/atira/pure/sustainabledevelopmentgoals/life_below_water
SDG 14 - Life Below Water
description Marine gravity has been modelled from satellite radar altimetry for more than two decades. Range precision and spatial coverage of altimetry observations are the main factors limiting the accuracy of predicted gravity field. Since 2010, CryoSat-2 has been measuring sea surface heights with a 369-day repeat cycle. By combining these high precision and dense CryoSat-2 observations with Jason-1 and SARAL/Altika geodetic mission data, the accuracy of marine gravity is expected to improve not only over the open ocean, but also near the coastal zone. This study aims to improve the gravity field near the coastal zone using least square collocation algorithm. CryoSat-2 observations obtained from different retrackers are used. Residual Terrain Modelling (RTM) is considered during the modelling process. The resolution of digital topography (including bathymetry) is the limiting factor in the application of RTM. Results from Mediterranean case study show that RTM is partly effective in reducing the residual height anomalies. Sediments in the deep ocean and constant density assumptions are believed to be the error sources. Prediction error for gravity anomalies is better than 4 mGal along the coast. Gravity field predicted from altimetry data with the most coastal coverage and retracked with the narrow primary peak retracker gives the best precision of 2.07 mGal. In the Indonesian case study, height anomalies are reduced by removing RTM effects. Strong signal in the remaining residual field suggests long wavelength problems from Earth Gravitational Model 2008 (EGM08). Existing Arctic bathymetry is compiled from sparse ship soundings and digitized depth contours. Sea floor topography can be inverted from downward continued marine gravity anomalies in a limited wavelength band. Based on the original filter presented in Smith and Sandwell (1994), a modified version, which limits the prediction to the 15-57 km wavelength band, is proposed and successfully used for bathymetry inversion from gravity anomalies. In this study, the ...
format Book
author Abulaitijiang, Adili
author_facet Abulaitijiang, Adili
author_sort Abulaitijiang, Adili
title Marine gravity and bathymetry modelling from recent satellite altimetry
title_short Marine gravity and bathymetry modelling from recent satellite altimetry
title_full Marine gravity and bathymetry modelling from recent satellite altimetry
title_fullStr Marine gravity and bathymetry modelling from recent satellite altimetry
title_full_unstemmed Marine gravity and bathymetry modelling from recent satellite altimetry
title_sort marine gravity and bathymetry modelling from recent satellite altimetry
publisher Technical University of Denmark
publishDate 2019
url https://orbit.dtu.dk/en/publications/b3a3b2c6-b23f-454c-8060-e56aef96c385
https://backend.orbit.dtu.dk/ws/files/190978673/AAA_Dissertation_print_FINAL_.pdf
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Abulaitijiang , A 2019 , Marine gravity and bathymetry modelling from recent satellite altimetry . Technical University of Denmark , Kgs. Lyngby .
op_rights info:eu-repo/semantics/openAccess
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