Annual and Interannual Oscillations of Greenland’s Ice Sheet Mass Variations from GRACE/GRACE-FO, Linked with Climatic Indices and Meteorological Parameters

The ongoing global warming threatens the Greenland Ice Sheet (GIS), which has exhibited an overall mass loss since 1990. This loss varies annually and interannually, reflecting the intricate interactions between the ice sheet and atmospheric and oceanic circulations. We investigate GIS mass balance variations (2002–2024) using data from the Gravity Recovery and Climate Experiment (GRACE) and its Follow-On (GRACE-FO) missions. Monthly mass anomalies from the International Combination Service for Time-variable Gravity Fields (COST-G) solution are compared with cumulative climate indices (North Atlantic Oscillation—NAO, Greenland Blocking Index—GBI, Atlantic Multidecadal Oscillation—AMO) and meteorological parameters (temperature, precipitation, surface albedo). Empirical Orthogonal Function analysis reveals five principal modes of variations, the first capturing annual and interannual frequencies (4–7 and 11 years), while subsequent modes only describe interannual frequencies. Wavelet analysis shows significant annual correlations between GIS mass changes and temperature (r = −0.88), NAO (r = 0.74), and GBI (r = −0.85). An annual cycle connects GIS mass changes, climatic indices, and meteorological parameters, while interannual variations highlight the role of the AMO and the NAO. The presence of an 11-year periodicity with the mass variations for NAO, GBI, and temperature strongly correlates with solar activity.

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Publication Details

Journal
Remote Sensing
Published
2025-10-27
DOI
https://doi.org/10.3390/rs17213552
Citations
1
Primary Topic
Geophysics and Gravity Measurements
Type
article
Field-Weighted Citation Impact
1.79
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article

Annual and Interannual Oscillations of Greenland’s Ice Sheet Mass Variations from GRACE/GRACE-FO, Linked with Climatic Indices and Meteorological Parameters

1 citations
Remote Sensing
Geophysics and Gravity Measurements
1.79
article

Annual and Interannual Oscillations of Greenland’s Ice Sheet Mass Variations from GRACE/GRACE-FO, Linked with Climatic Indices and Meteorological Parameters

article en
1 citations

Abstract

The ongoing global warming threatens the Greenland Ice Sheet (GIS), which has exhibited an overall mass loss since 1990. This loss varies annually and interannually, reflecting the intricate interactions between the ice sheet and atmospheric and oceanic circulations. We investigate GIS mass balance variations (2002–2024) using data from the Gravity Recovery and Climate Experiment (GRACE) and its Follow-On (GRACE-FO) missions. Monthly mass anomalies from the International Combination Service for Time-variable Gravity Fields (COST-G) solution are compared with cumulative climate indices (North Atlantic Oscillation—NAO, Greenland Blocking Index—GBI, Atlantic Multidecadal Oscillation—AMO) and meteorological parameters (temperature, precipitation, surface albedo). Empirical Orthogonal Function analysis reveals five principal modes of variations, the first capturing annual and interannual frequencies (4–7 and 11 years), while subsequent modes only describe interannual frequencies. Wavelet analysis shows significant annual correlations between GIS mass changes and temperature (r = −0.88), NAO (r = 0.74), and GBI (r = −0.85). An annual cycle connects GIS mass changes, climatic indices, and meteorological parameters, while interannual variations highlight the role of the AMO and the NAO. The presence of an 11-year periodicity with the mass variations for NAO, GBI, and temperature strongly correlates with solar activity.

Remote SensingVol. 17(21)
Centre National de la Recherche Scientifique (FR), Université Toulouse III - Paul Sabatier (FR), Centre de Gestion Scientifique (FR), Observatoire Midi-Pyrénées (FR), Géosciences Environnement Toulouse (FR)
Climate action
Openalex Percentile: Top 11%
Geophysics and Gravity Measurements
1.79
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Annual and Interannual Oscillations of Greenland’s Ice Sheet Mass Variations from GRACE/GRACE-FO, Linked with Climatic Indices and Meteorological Parameters · Remote Sensing (2025) | TGRS Research Map | TGRS