Publications related to the GRACE Missions (no abstracts)

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Inter-Annual Variability in the Antarctic Ice Sheets Using Geodetic Observations and a Climate Model

Kaitheri, Athul, Mémin, Anthony, and Rémy, Frédérique, 2021. Inter-Annual Variability in the Antarctic Ice Sheets Using Geodetic Observations and a Climate Model. Remote Sensing, 13(11):2199, doi:10.3390/rs13112199.

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@ARTICLE{2021RemS...13.2199K,
       author = {{Kaitheri}, Athul and {M{\'e}min}, Anthony and {R{\'e}my}, Fr{\'e}d{\'e}rique},
        title = "{Inter-Annual Variability in the Antarctic Ice Sheets Using Geodetic Observations and a Climate Model}",
      journal = {Remote Sensing},
     keywords = {Antarctic Ice Sheet, GRACE, Envisat, RACMO2.3p2, firn densification model, ENSO, ACW},
         year = 2021,
        month = jun,
       volume = {13},
       number = {11},
          eid = {2199},
        pages = {2199},
     abstract = "{Quantifying the mass balance of the Antarctic Ice Sheet (AIS), and the
        resulting sea level rise, requires an understanding of inter-
        annual variability and associated causal mechanisms. Very few
        studies have been exploring the influence of climate anomalies
        on the AIS and only a vague estimate of its impact is available.
        Changes to the ice sheet are quantified using observations from
        space-borne altimetry and gravimetry missions. We use data from
        Envisat (2002 to 2010) and Gravity Recovery And Climate
        Experiment (GRACE) (2002 to 2016) missions to estimate monthly
        elevation changes and mass changes, respectively. Similar
        estimates of the changes are made using weather variables
        (surface mass balance (SMB) and temperature) from a regional
        climate model (RACMO2.3p2) as inputs to a firn compaction (FC)
        model. Elevation changes estimated from different techniques are
        in good agreement with each other across the AIS especially in
        West Antarctica, Antarctic Peninsula, and along the coasts of
        East Antarctica. Inter-annual height change patterns are then
        extracted using for the first time an empirical mode
        decomposition followed by a principal component analysis to
        investigate for influences of climate anomalies on the AIS.
        Investigating the inter-annual signals in these regions revealed
        a sub-4-year periodic signal in the height change patterns. El
        Ni{\~n}o Southern Oscillation (ENSO) is a climate anomaly that
        alters, among other parameters, moisture transport, sea surface
        temperature, precipitation, in and around the AIS at similar
        frequency by alternating between warm and cold conditions. This
        periodic behavior in the height change patterns is altered in
        the Antarctic Pacific (AP) sector, possibly by the influence of
        multiple climate drivers, like the Amundsen Sea Low (ASL) and
        the Southern Annular Mode (SAM). Height change anomaly also
        appears to traverse eastwards from Coats Land to Pine Island
        Glacier (PIG) regions passing through Dronning Maud Land (DML)
        and Wilkes Land (WL) in 6 to 8 years. This is indicative of
        climate anomaly traversal due to the Antarctic Circumpolar Wave
        (ACW). Altogether, inter-annual variability in the SMB of the
        AIS is found to be modulated by multiple competing climate
        anomalies.}",
          doi = {10.3390/rs13112199},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2021RemS...13.2199K},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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