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  • 1
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    GFZ, Helmholtz-Zentrum, Potsdam
    Publication Date: 2021-03-29
    Description: report
    Keywords: 551 ; TOF 000 ; TOB 100 ; Schwerkraft {Geophysik} ; Drehbewegungen {Geophysik: Erde}
    Language: English
    Type: article , publishedVersion
    Format: 35S.
    Format: application/pdf
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  • 2
    Publication Date: 2022-03-16
    Description: Based on the latest GFZ release 06 of monthly gravity fields from GRACE satellite mission, area-averaged barystatic sea-level is found to rise by 2.02 mm/a during the period April 2002 until August 2016 in the open ocean with a 1000 km coastal buffer zone when low degree coefficients are properly augmented with information from satellite laser ranging. Alternative spherical harmonics solutions from CSR, JPL and TU Graz reveal rates between 1.94 and 2.08 mm/a, thereby demonstrating that systematic differences among the centers are much reduced in the latest release. The results from the direct integration in the open ocean can be aligned to associated solutions of the sea-level equation when fractional leakage derived from two differently filtered global gravity fields is explicitly considered, leading to a global mean sea-level rise of 1.72 mm/a. This result implies that estimates obtained from a 1000 km coastal buffer zone are biased 0.3 mm/a high due the systematic omission of regions with below-average barystatic sea-level rise in regions close to substantial coastal mass losses induced by the reduced gravitational attraction of the remaining continental ice and water masses.
    Type: Conference or Workshop Item , NonPeerReviewed
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  • 3
    Publication Date: 2022-03-16
    Description: Temporal variations in the total ocean mass representing the barystatic part of present-day global-mean sea-level rise can be directly inferred from time-series of global gravity fields as provided by the GRACE and GRACE-FO missions. A spatial integration over all ocean regions, however, largely underestimates present-day rates as long as the effects of spatial leakage along the coasts of in particular Antarctica, Greenland, and the various islands of the Canadian Archipelago are not properly considered. Based on the latest release 06 of monthly gravity fields processed at GFZ, we quantify (and subsequently correct) the contribution of spatial leakage to the post-processed mass anomalies of continental water storage and ocean bottom pressure. We find that by utilizing the sea level equation to predict spatially variable ocean mass trends out of the (leakage-corrected) terrrestial mass distributions from GRACE and GRACE-FO consistent results are obtained also from spatial integrations over ocean masks with different coastal buffer zones ranging from 400 to 1000 km. However, the results are critically dependent on coefficients of degree 1, 2 and 3, that are not precisely determined from GRACE data alone and need to be augemented by information from satellite laser ranging. We will particularly discuss the impact of those low-degree harmonics on the secular rates in global barystatic sea-level.
    Type: Conference or Workshop Item , NonPeerReviewed
    Format: text
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  • 4
    Publication Date: 2022-06-08
    Description: Abstract
    Description: The Atmosphere and Ocean De-Aliasing Level-1B (AOD1B) Product provides a priori information about temporal variations in the Earth's gravity field caused by global mass variability in atmosphere and ocean.'It is based on analysis and forecast data of the operational high-resolution global numerical weather prediction (NWP) model from the European Centre for Medium-Range Weather Forecasts (ECMWF) such as ERA5 and ocean bottom pressure from an unconstrained simulation with a global ocean general circulation model that is consistently forced with ECMWF atmospheric data.
    Keywords: Satellite Gravimetry ; De-Aliasing ; Mass Variability ; Earth Observation Satellites 〉 NASA Earth System Science Pathfinder 〉 GRACE ; EARTH SCIENCE SERVICES 〉 MODELS 〉 ATMOSPHERIC GENERAL CIRCULATION MODELS ; EARTH SCIENCE SERVICES 〉 MODELS 〉 OCEAN GENERAL CIRCULATION MODELS (OGCM)/REGIONAL OCEAN MODELS ; Models/Analyses 〉 ECMWFIFS
    Type: Dataset , Dataset
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