A Study of Ocean Mass and Transport with Remote Sensing

We use GRACE data and estimates of ice sheet mass balance by the mass budget method to study regional ocean mass changes. Regional ocean mass varies because of ocean dynamics and gravitational attraction resulted from mass redistribution within the Earth system and associated crustal deformation. Th...

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Bibliographic Details
Main Author: HSU, CHIA-WEI
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: eScholarship, University of California 2017
Subjects:
Online Access:http://www.escholarship.org/uc/item/25x7s1c7
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spelling ftcdlib:qt25x7s1c7 2023-05-15T16:40:51+02:00 A Study of Ocean Mass and Transport with Remote Sensing HSU, CHIA-WEI 159 2017-01-01 application/pdf http://www.escholarship.org/uc/item/25x7s1c7 en eng eScholarship, University of California http://www.escholarship.org/uc/item/25x7s1c7 qt25x7s1c7 Attribution-NonCommercial-NoDerivs (CC BY-NC-ND ): http://creativecommons.org/licenses/by-nc-nd/3.0/ CC-BY-NC-ND HSU, CHIA-WEI. (2017). A Study of Ocean Mass and Transport with Remote Sensing. UC Irvine: Earth System Science. Retrieved from: http://www.escholarship.org/uc/item/25x7s1c7 Geophysics GRACE Ocean bottom pressure Ocean mass Sea level Sea level fingerprint dissertation 2017 ftcdlib 2017-06-23T22:50:08Z We use GRACE data and estimates of ice sheet mass balance by the mass budget method to study regional ocean mass changes. Regional ocean mass varies because of ocean dynamics and gravitational attraction resulted from mass redistribution within the Earth system and associated crustal deformation. The effects combining gravitational attraction and crustal deformation are commonly called the sea level fingerprint (SLF). We focus on the SLF due to its large cumulative sea level potential and importance for accurate ocean mass estimates over regional scales. We conduct SLF sensitivity test with the mass estimate over the ice sheet regions from the mass budget method. Our tests show that the required accuracy of mass load estimates on land can be achieved by using GRACE data. We determine a set of improved scaling factors to restore the magnitude of the GRACE signal attenuated from a series of processing steps applied to remove systematic noise. We derive the SLF signals by accounting the mass load changes in the whole Earth system from GRACE. The SLF is validated with in-situ ocean bottom pressure measurements and sea level derived from steric-corrected altimetry. The validations show good agreement in the seasonal signal at the 1-degree resolution. We investigate the ocean transport error due to SLF signal in the North Atlantic. A spurious meridional geostrophic transport is created due to the SLF gradient across the Atlantic ocean. This spurious transport is equivalent to half of the seasonal variation in the upper mid-ocean geostrophic transport shown in the in-situ transport measurements. The work shows the importance of removing SLF in OBP measurements used to derive geostrophic flow. GRACE provides valuable constraints for extracting the ocean bottom pressure estimates. We introduced an improved ocean bottom pressure product from GRACE which can be used to study mass and current changes near coastal regions. This required removing the land mass change signal, which leaks into the ocean and can obscure the ocean bottom pressure signal. The product provides the possibility of studying coastal processes by using the near-coast GRACE ocean bottom pressure estimates. Doctoral or Postdoctoral Thesis Ice Sheet North Atlantic University of California: eScholarship
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language English
topic Geophysics
GRACE
Ocean bottom pressure
Ocean mass
Sea level
Sea level fingerprint
spellingShingle Geophysics
GRACE
Ocean bottom pressure
Ocean mass
Sea level
Sea level fingerprint
HSU, CHIA-WEI
A Study of Ocean Mass and Transport with Remote Sensing
topic_facet Geophysics
GRACE
Ocean bottom pressure
Ocean mass
Sea level
Sea level fingerprint
description We use GRACE data and estimates of ice sheet mass balance by the mass budget method to study regional ocean mass changes. Regional ocean mass varies because of ocean dynamics and gravitational attraction resulted from mass redistribution within the Earth system and associated crustal deformation. The effects combining gravitational attraction and crustal deformation are commonly called the sea level fingerprint (SLF). We focus on the SLF due to its large cumulative sea level potential and importance for accurate ocean mass estimates over regional scales. We conduct SLF sensitivity test with the mass estimate over the ice sheet regions from the mass budget method. Our tests show that the required accuracy of mass load estimates on land can be achieved by using GRACE data. We determine a set of improved scaling factors to restore the magnitude of the GRACE signal attenuated from a series of processing steps applied to remove systematic noise. We derive the SLF signals by accounting the mass load changes in the whole Earth system from GRACE. The SLF is validated with in-situ ocean bottom pressure measurements and sea level derived from steric-corrected altimetry. The validations show good agreement in the seasonal signal at the 1-degree resolution. We investigate the ocean transport error due to SLF signal in the North Atlantic. A spurious meridional geostrophic transport is created due to the SLF gradient across the Atlantic ocean. This spurious transport is equivalent to half of the seasonal variation in the upper mid-ocean geostrophic transport shown in the in-situ transport measurements. The work shows the importance of removing SLF in OBP measurements used to derive geostrophic flow. GRACE provides valuable constraints for extracting the ocean bottom pressure estimates. We introduced an improved ocean bottom pressure product from GRACE which can be used to study mass and current changes near coastal regions. This required removing the land mass change signal, which leaks into the ocean and can obscure the ocean bottom pressure signal. The product provides the possibility of studying coastal processes by using the near-coast GRACE ocean bottom pressure estimates.
format Doctoral or Postdoctoral Thesis
author HSU, CHIA-WEI
author_facet HSU, CHIA-WEI
author_sort HSU, CHIA-WEI
title A Study of Ocean Mass and Transport with Remote Sensing
title_short A Study of Ocean Mass and Transport with Remote Sensing
title_full A Study of Ocean Mass and Transport with Remote Sensing
title_fullStr A Study of Ocean Mass and Transport with Remote Sensing
title_full_unstemmed A Study of Ocean Mass and Transport with Remote Sensing
title_sort study of ocean mass and transport with remote sensing
publisher eScholarship, University of California
publishDate 2017
url http://www.escholarship.org/uc/item/25x7s1c7
op_coverage 159
genre Ice Sheet
North Atlantic
genre_facet Ice Sheet
North Atlantic
op_source HSU, CHIA-WEI. (2017). A Study of Ocean Mass and Transport with Remote Sensing. UC Irvine: Earth System Science. Retrieved from: http://www.escholarship.org/uc/item/25x7s1c7
op_relation http://www.escholarship.org/uc/item/25x7s1c7
qt25x7s1c7
op_rights Attribution-NonCommercial-NoDerivs (CC BY-NC-ND ): http://creativecommons.org/licenses/by-nc-nd/3.0/
op_rightsnorm CC-BY-NC-ND
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