Earth's surface mass transport derived from GRACE, evaluated by GPS, ICESat, hydrological modeling and altimetry satellite orbits
<p>The Gravity Recovery and Climate Experiment (GRACE) delivered the most accurate quantification of global mass variations with monthly temporal resolution on large spatial scales. Future gravity missions will take advantage of improved measurement technologies, such as enhanced orbit configu...
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Format: | Article |
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Copernicus Publications
2018-12-01
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Series: | Earth Surface Dynamics |
Online Access: | https://www.earth-surf-dynam.net/6/1203/2018/esurf-6-1203-2018.pdf |
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author | C. Gruber C. Gruber S. Rudenko S. Rudenko A. Groh D. Ampatzidis E. Fagiolini |
author_facet | C. Gruber C. Gruber S. Rudenko S. Rudenko A. Groh D. Ampatzidis E. Fagiolini |
author_sort | C. Gruber |
collection | DOAJ |
description | <p>The Gravity Recovery and Climate Experiment (GRACE) delivered the most
accurate quantification of global mass variations with monthly temporal
resolution on large spatial scales. Future gravity missions will take
advantage of improved measurement technologies, such as enhanced orbit
configurations and tracking systems, as well as reduced temporal aliasing
errors. In order to achieve the latter, sub-monthly to daily innovative
models are computed. In addition, non-conventional methods based on radial
basis functions (RBFs) and mascons will give the ability to compute models in
regional and global representations as well. We show that the RBF modeling
technique can be used for processing GRACE data yielding global gravity field
models which fit independent reference values at the same level as commonly
accepted global geopotential models based on spherical harmonics.</p>
<p>The present study compares for the first time a complete global series of
solutions in order to quantify recent ice mass changes. We further compare
the ice-induced crustal deformations due to the dynamic loading of the
crustal layer with the Global Positioning System (GPS) uplift measurements
along Greenland's coastline. Available mass change estimates based on
Ice, Cloud, and land Elevation Satellite (ICESat) laser altimetry measurements both
in Greenland and Antarctica are used to assess the GRACE results.</p>
<p>A comparison of GRACE time series with hydrological modeling for various
basin extensions reveals overall high correlation to surface and groundwater
storage compartments. The forward computation of satellite orbits for
altimetry satellites such as Envisat, Jason-1 and Jason-2 compares the
performance of GRACE time-variable gravity fields with models including time
variability, such as EIGEN-6S4.</p> |
first_indexed | 2024-12-11T16:07:10Z |
format | Article |
id | doaj.art-14707f0d843641aeb6cf67c242441f5e |
institution | Directory Open Access Journal |
issn | 2196-6311 2196-632X |
language | English |
last_indexed | 2024-12-11T16:07:10Z |
publishDate | 2018-12-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Earth Surface Dynamics |
spelling | doaj.art-14707f0d843641aeb6cf67c242441f5e2022-12-22T00:59:09ZengCopernicus PublicationsEarth Surface Dynamics2196-63112196-632X2018-12-0161203121810.5194/esurf-6-1203-2018Earth's surface mass transport derived from GRACE, evaluated by GPS, ICESat, hydrological modeling and altimetry satellite orbitsC. Gruber0C. Gruber1S. Rudenko2S. Rudenko3A. Groh4D. Ampatzidis5E. Fagiolini6Helmholtz Centre Potsdam, German Research Centre for Geosciences (GFZ), Section 1.2: Global Geomonitoring and Gravity Field, c/o DLR Oberpfaffenhofen, Münchener Strasse 20, 82234 Wessling, Germanynow at: Trimble Terrasat, Haringstr. 19, 85635 Höhenkirchen-Siegertsbrunn, GermanyDeutsches Geodätisches Forschungsinstitut, Technische Universität München (DGFI-TUM), Arcisstrasse 21, 80333 Munich, Germanyformerly at: Helmholtz Centre Potsdam, German Research Centre for Geosciences (GFZ), Section 1.2: Global Geomonitoring and Gravity Field, c/o DLR Oberpfaffenhofen, Münchener Strasse 20, 82234 Wessling, GermanyTechnische Universität Dresden, Institut für Planetare Geodäsie, 01062 Dresden, GermanyBundesamt für Kartographie und Geodäsie (BKG), Richard-Strauss-Allee 11, 60598 Frankfurt, GermanyHelmholtz Centre Potsdam, German Research Centre for Geosciences (GFZ), Section 1.2: Global Geomonitoring and Gravity Field, c/o DLR Oberpfaffenhofen, Münchener Strasse 20, 82234 Wessling, Germany<p>The Gravity Recovery and Climate Experiment (GRACE) delivered the most accurate quantification of global mass variations with monthly temporal resolution on large spatial scales. Future gravity missions will take advantage of improved measurement technologies, such as enhanced orbit configurations and tracking systems, as well as reduced temporal aliasing errors. In order to achieve the latter, sub-monthly to daily innovative models are computed. In addition, non-conventional methods based on radial basis functions (RBFs) and mascons will give the ability to compute models in regional and global representations as well. We show that the RBF modeling technique can be used for processing GRACE data yielding global gravity field models which fit independent reference values at the same level as commonly accepted global geopotential models based on spherical harmonics.</p> <p>The present study compares for the first time a complete global series of solutions in order to quantify recent ice mass changes. We further compare the ice-induced crustal deformations due to the dynamic loading of the crustal layer with the Global Positioning System (GPS) uplift measurements along Greenland's coastline. Available mass change estimates based on Ice, Cloud, and land Elevation Satellite (ICESat) laser altimetry measurements both in Greenland and Antarctica are used to assess the GRACE results.</p> <p>A comparison of GRACE time series with hydrological modeling for various basin extensions reveals overall high correlation to surface and groundwater storage compartments. The forward computation of satellite orbits for altimetry satellites such as Envisat, Jason-1 and Jason-2 compares the performance of GRACE time-variable gravity fields with models including time variability, such as EIGEN-6S4.</p>https://www.earth-surf-dynam.net/6/1203/2018/esurf-6-1203-2018.pdf |
spellingShingle | C. Gruber C. Gruber S. Rudenko S. Rudenko A. Groh D. Ampatzidis E. Fagiolini Earth's surface mass transport derived from GRACE, evaluated by GPS, ICESat, hydrological modeling and altimetry satellite orbits Earth Surface Dynamics |
title | Earth's surface mass transport derived from GRACE, evaluated by GPS, ICESat, hydrological modeling and altimetry satellite orbits |
title_full | Earth's surface mass transport derived from GRACE, evaluated by GPS, ICESat, hydrological modeling and altimetry satellite orbits |
title_fullStr | Earth's surface mass transport derived from GRACE, evaluated by GPS, ICESat, hydrological modeling and altimetry satellite orbits |
title_full_unstemmed | Earth's surface mass transport derived from GRACE, evaluated by GPS, ICESat, hydrological modeling and altimetry satellite orbits |
title_short | Earth's surface mass transport derived from GRACE, evaluated by GPS, ICESat, hydrological modeling and altimetry satellite orbits |
title_sort | earth s surface mass transport derived from grace evaluated by gps icesat hydrological modeling and altimetry satellite orbits |
url | https://www.earth-surf-dynam.net/6/1203/2018/esurf-6-1203-2018.pdf |
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