GravIS Portal: User-friendly Ice Mass Variations in Greenland and Antarctica from GRACE and GRACE-FO

Sasgen, Ingo; Boergens, Eva; Dahle, Christoph; Döhne, Thorben; Groh, Andreas; Dobslaw, Henryk; Reißland, Sven; Flechtner, Frank

doi:10.5194/egusphere-egu22-6961

Cited by 3 publications

(5 citation statements)

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“…In the case of L2 data, we present a comprehensive comparison of RL06 and RL06.1 solutions based on various analyses in the frequency, time and space domains and through comparison with independent data sets. In the case of L3 data, we examine the mascon solutions from JPL (Watkins et al., 2015) and NASA Goddard Space Flight Center (GSFC; Loomis, Luthcke, & Sabaka, 2019), which are directly computed from L1B data, as well as the L3 gridded mass change data from GFZ (Boergens et al., 2022; Sasgen et al., 2019; see http://gravis.gfz-potsdam.de/home), which are computed from L2 data. While monthly L2 and L3 data observe slowly varying mass changes in the Earth system, the along‐orbit analysis of inter‐satellite tracking data has helped to broaden the applications of GRACE/GRACE‐FO to rapid mass and gravity changes associated with various processes like Earth's free oscillations (Ghobadi‐Far, Han, et al., 2019), tsunamis (Ghobadi‐Far, Han, Allgeyer, et al., 2020), floods (Han, Ghobadi‐Far, et al., 2021, Han, Yeo, et al., 2021), and oceanic gyres (Ghobadi‐Far et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

The Impact of New Accelerometer Transplant Data (ACH) on GRACE Follow‐On Along‐Orbit Inter‐Satellite Laser Ranging Observations and Monthly Time‐Variable Gravity and Mascon Solutions

et al. 2023

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GRACE‐D accelerometer data show significant bias jumps since one month after the launch of the GRACE Follow‐On (GRACE‐FO) satellites in May 2018, making them inapplicable for correcting GRACE‐FO products for non‐gravitational accelerations. The GRACE‐FO Science Data System (SDS) compensated this issue by transplanting the GRACE‐C accelerometer data toward that of GRACE‐D. Recently, GRACE‐FO SDS implemented an updated transplant method, used in the latest release of GRACE‐FO data. Here, we examine the impact of updated accelerometer transplant data (ACH) on GRACE‐FO measurements at all levels: (a) Level‐1B inter‐satellite laser ranging residuals measured along satellite orbit, (b) Level‐2 time‐variable gravity solutions from all SDS centers (JPL, CSR, and GFZ), and (c) Level‐3 mascon solutions. We show that inter‐satellite laser ranging residuals are modified at low frequencies below 1 mHz, affecting the along‐orbit analysis of large‐scale time‐variable gravity signals. When mapped into monthly Level‐2 spherical harmonic coefficients of geopotential, the low‐frequency change in inter‐satellite ranging residuals leads to substantial improvement of coefficients associated with resonant orders (i.e., 15, 30, 45, etc.) and C30. We also present an improved SLR‐derived C30 which significantly improves the agreement with updated GRACE‐FO C30 at seasonal and interannual timescales. Moreover, we demonstrate the noise reduction in mass change estimates from new GRACE‐FO Level‐2 data over oceans, Greenland, and Antarctica for all SDS solutions. GRACE‐FO mascon solutions show a moderate change in the updated release. Our comprehensive analyses demonstrate high‐quality estimates of non‐gravitational accelerations by the updated transplant method, resulting in more accurate GRACE‐FO time‐variable gravity and mass change observations.

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Section: Introductionmentioning

confidence: 99%

The Impact of New Accelerometer Transplant Data (ACH) on GRACE Follow‐On Along‐Orbit Inter‐Satellite Laser Ranging Observations and Monthly Time‐Variable Gravity and Mascon Solutions

et al. 2023

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“…Changes in terrestrial water storage in the Lake Victoria basin can be studied using altimetry data, GRACE data, and rainfall data [76]. The contribution of the Antarctic ice sheet and the Greenland ice sheet to changes in global ocean quality can also be calculated and analyzed using altimetry data and GRACE/GRACE-FO data [12][13][14][15][16][17][18][179][180][181]. The changes in glacier mass in the Tibetan Plateau and the Indian Basin are also obtained by fusing multi-source data [77], for example, using data such as altimetry data, GRACE time-varying gravity field data, and the array for real-time geostrophic oceanography (Argo) ocean temperature and salinity data set, the global and Antarctic glacial isostatic adjustment (GIA) models can be used to analyze the global and effects of regional mass changes [78].…”

Section: Discussionmentioning

confidence: 99%

Monitoring of Hydrological Resources in Surface Water Change by Satellite Altimetry

Xie

et al. 2022

Remote Sensing

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Satellite altimetry technology has unparalleled advantages in the monitoring of hydrological resources. After decades of development, satellite altimetry technology has achieved a perfect integration from the geometric research of geodesy to the natural resource monitoring research. Satellite altimetry technology has shown great potential, whether solid or liquid. In general, this paper systematically reviews the development of satellite altimetry technology, especially in terms of data availability and program practicability, and proposes a multi-source altimetry data fusion method based on deep learning. Secondly, in view of the development prospects of satellite altimetry technology, the challenges and opportunities in the monitoring application and expansion of surface water changes are sorted out. Among them, the limitations of the data and the redundancy of the program are emphasized. Finally, the fusion scheme of altimetry technology and deep learning proposed in this paper is presented. It is hoped that it can provide effective technical support for the monitoring and application research of hydrological resources.

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“…Data presented here are available at King and Christoffersen (2024) and King et al (2023a). All underlying data are openly available (Brils et al, 2021;Haran et al, 2014Haran et al, , updated 2019Howat, 2022;Medley et al, 2022a;Morlighem, 2022;Nilsson et al, 2023;Rignot et al, 2017;Sasgen et al, 2020). The software of Wu, 2023 was used for multivariate EOF analysis.…”

Section: Data Availability Statementmentioning

confidence: 99%

“…We use the COST-G RL01 Level-3 50 km gridded ice-mass change per surface area GRACE and GRACE-FO V0002 data set obtained from http://gravis.gfz-potsdam.de/antarctica (Sasgen et al, 2020). We make use of data from March 2002 to December 2020, with the end point chosen to match the end of the altimetry data set.…”

Section: Space Gravimetry Data Setmentioning

confidence: 99%

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Major Modes of Climate Variability Dominate Nonlinear Antarctic Ice‐Sheet Elevation Changes 2002–2020

King,

Christoffersen

2024

Geophysical Research Letters

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We explore the links between elevation variability of the Antarctic Ice Sheet (AIS) and large‐scale climate modes. Using multiple linear regression, we quantify the time‐cumulative effects of El Niño Southern Oscillation (ENSO) and the Southern Annular Mode (SAM) on gridded AIS elevations. Cumulative ENSO and SAM explain a median of 29% of the partial variance and up to 85% in some coastal areas. After spatial smoothing, these signals have high spatial correlation with those from GRACE gravimetry (r∼ = 0.65 each). Much of the signal is removed by a firn densification model but inter‐model differences exist especially for ENSO. At the lower parts of the Thwaites and Pine Island glaciers, near their grounding line, we find the Amundsen Sea Low (ASL) explains ∼90% of the observed elevation variability. There, modeled firn effects explain only a small fraction of the variability, suggesting significant height changes could be a response to climatological ice‐dynamics.

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GravIS Portal: User-friendly Ice Mass Variations in Greenland and Antarctica from GRACE and GRACE-FO

Cited by 3 publications

References 0 publications

The Impact of New Accelerometer Transplant Data (ACH) on GRACE Follow‐On Along‐Orbit Inter‐Satellite Laser Ranging Observations and Monthly Time‐Variable Gravity and Mascon Solutions

The Impact of New Accelerometer Transplant Data (ACH) on GRACE Follow‐On Along‐Orbit Inter‐Satellite Laser Ranging Observations and Monthly Time‐Variable Gravity and Mascon Solutions

Monitoring of Hydrological Resources in Surface Water Change by Satellite Altimetry

Major Modes of Climate Variability Dominate Nonlinear Antarctic Ice‐Sheet Elevation Changes 2002–2020

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