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

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...

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Published in:Remote Sensing
Main Authors: Athul Kaitheri, Anthony Mémin, Frédérique Rémy
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
ACW
DML
Online Access:https://doi.org/10.3390/rs13112199
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spelling ftmdpi:oai:mdpi.com:/2072-4292/13/11/2199/ 2023-08-20T03:59:36+02:00 Inter-Annual Variability in the Antarctic Ice Sheets Using Geodetic Observations and a Climate Model Athul Kaitheri Anthony Mémin Frédérique Rémy 2021-06-04 application/pdf https://doi.org/10.3390/rs13112199 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs13112199 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 11; Pages: 2199 Antarctic Ice Sheet GRACE Envisat RACMO2.3p2 firn densification model ENSO ACW Text 2021 ftmdpi https://doi.org/10.3390/rs13112199 2023-08-01T01:53:03Z 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 Niño 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 ... Text Amundsen Sea Antarc* Antarctic Antarctic Peninsula Antarctica DML Dronning Maud Land East Antarctica Ice Sheet Pine Island Pine Island Glacier West Antarctica Wilkes Land MDPI Open Access Publishing Antarctic The Antarctic Antarctic Peninsula East Antarctica Dronning Maud Land West Antarctica Amundsen Sea Pacific Wilkes Land ENVELOPE(120.000,120.000,-69.000,-69.000) Pine Island Glacier ENVELOPE(-101.000,-101.000,-75.000,-75.000) Coats Land ENVELOPE(-27.500,-27.500,-77.000,-77.000) Remote Sensing 13 11 2199
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic Antarctic Ice Sheet
GRACE
Envisat
RACMO2.3p2
firn densification model
ENSO
ACW
spellingShingle Antarctic Ice Sheet
GRACE
Envisat
RACMO2.3p2
firn densification model
ENSO
ACW
Athul Kaitheri
Anthony Mémin
Frédérique Rémy
Inter-Annual Variability in the Antarctic Ice Sheets Using Geodetic Observations and a Climate Model
topic_facet Antarctic Ice Sheet
GRACE
Envisat
RACMO2.3p2
firn densification model
ENSO
ACW
description 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 Niño 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 ...
format Text
author Athul Kaitheri
Anthony Mémin
Frédérique Rémy
author_facet Athul Kaitheri
Anthony Mémin
Frédérique Rémy
author_sort Athul Kaitheri
title Inter-Annual Variability in the Antarctic Ice Sheets Using Geodetic Observations and a Climate Model
title_short Inter-Annual Variability in the Antarctic Ice Sheets Using Geodetic Observations and a Climate Model
title_full Inter-Annual Variability in the Antarctic Ice Sheets Using Geodetic Observations and a Climate Model
title_fullStr Inter-Annual Variability in the Antarctic Ice Sheets Using Geodetic Observations and a Climate Model
title_full_unstemmed Inter-Annual Variability in the Antarctic Ice Sheets Using Geodetic Observations and a Climate Model
title_sort inter-annual variability in the antarctic ice sheets using geodetic observations and a climate model
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/rs13112199
long_lat ENVELOPE(120.000,120.000,-69.000,-69.000)
ENVELOPE(-101.000,-101.000,-75.000,-75.000)
ENVELOPE(-27.500,-27.500,-77.000,-77.000)
geographic Antarctic
The Antarctic
Antarctic Peninsula
East Antarctica
Dronning Maud Land
West Antarctica
Amundsen Sea
Pacific
Wilkes Land
Pine Island Glacier
Coats Land
geographic_facet Antarctic
The Antarctic
Antarctic Peninsula
East Antarctica
Dronning Maud Land
West Antarctica
Amundsen Sea
Pacific
Wilkes Land
Pine Island Glacier
Coats Land
genre Amundsen Sea
Antarc*
Antarctic
Antarctic Peninsula
Antarctica
DML
Dronning Maud Land
East Antarctica
Ice Sheet
Pine Island
Pine Island Glacier
West Antarctica
Wilkes Land
genre_facet Amundsen Sea
Antarc*
Antarctic
Antarctic Peninsula
Antarctica
DML
Dronning Maud Land
East Antarctica
Ice Sheet
Pine Island
Pine Island Glacier
West Antarctica
Wilkes Land
op_source Remote Sensing; Volume 13; Issue 11; Pages: 2199
op_relation Remote Sensing in Geology, Geomorphology and Hydrology
https://dx.doi.org/10.3390/rs13112199
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs13112199
container_title Remote Sensing
container_volume 13
container_issue 11
container_start_page 2199
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