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

International audience 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...

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Published in:Remote Sensing
Main Authors: Kaitheri, Athul, Mémin, Anthony, Rémy, Frédérique
Other Authors: Géoazur (GEOAZUR 7329), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UniCA)-Université Côte d'Azur (UniCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Sud ), Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2021
Subjects:
ACW
DML
Online Access:https://hal.science/hal-03249925
https://hal.science/hal-03249925/document
https://hal.science/hal-03249925/file/remotesensing-13-02199.pdf
https://doi.org/10.3390/rs13112199
id ftutoulouse3hal:oai:HAL:hal-03249925v1
record_format openpolar
institution Open Polar
collection Université Toulouse III - Paul Sabatier: HAL-UPS
op_collection_id ftutoulouse3hal
language English
topic GRACE
Envisat
RACMO2.3p2
firn densification model
ENSO
ACW
[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
spellingShingle GRACE
Envisat
RACMO2.3p2
firn densification model
ENSO
ACW
[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
Kaitheri, Athul
Mémin, Anthony
Rémy, Frédérique
Inter-Annual Variability in the Antarctic Ice Sheets Using Geodetic Observations and a Climate Model
topic_facet GRACE
Envisat
RACMO2.3p2
firn densification model
ENSO
ACW
[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
description International audience 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. ...
author2 Géoazur (GEOAZUR 7329)
Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur
Université Côte d'Azur (UniCA)-Université Côte d'Azur (UniCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Sud )
Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS)
Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)
format Article in Journal/Newspaper
author Kaitheri, Athul
Mémin, Anthony
Rémy, Frédérique
author_facet Kaitheri, Athul
Mémin, Anthony
Rémy, Frédérique
author_sort Kaitheri, Athul
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 HAL CCSD
publishDate 2021
url https://hal.science/hal-03249925
https://hal.science/hal-03249925/document
https://hal.science/hal-03249925/file/remotesensing-13-02199.pdf
https://doi.org/10.3390/rs13112199
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 ISSN: 2072-4292
Remote Sensing
https://hal.science/hal-03249925
Remote Sensing, 2021, 13 (11), pp.2199. ⟨10.3390/rs13112199⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.3390/rs13112199
hal-03249925
https://hal.science/hal-03249925
https://hal.science/hal-03249925/document
https://hal.science/hal-03249925/file/remotesensing-13-02199.pdf
doi:10.3390/rs13112199
op_rights http://creativecommons.org/licenses/by/
info:eu-repo/semantics/OpenAccess
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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spelling ftutoulouse3hal:oai:HAL:hal-03249925v1 2024-09-15T17:39:12+00:00 Inter-Annual Variability in the Antarctic Ice Sheets Using Geodetic Observations and a Climate Model Kaitheri, Athul Mémin, Anthony Rémy, Frédérique Géoazur (GEOAZUR 7329) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur Université Côte d'Azur (UniCA)-Université Côte d'Azur (UniCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Sud ) Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) 2021-06-04 https://hal.science/hal-03249925 https://hal.science/hal-03249925/document https://hal.science/hal-03249925/file/remotesensing-13-02199.pdf https://doi.org/10.3390/rs13112199 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/rs13112199 hal-03249925 https://hal.science/hal-03249925 https://hal.science/hal-03249925/document https://hal.science/hal-03249925/file/remotesensing-13-02199.pdf doi:10.3390/rs13112199 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2072-4292 Remote Sensing https://hal.science/hal-03249925 Remote Sensing, 2021, 13 (11), pp.2199. ⟨10.3390/rs13112199⟩ GRACE Envisat RACMO2.3p2 firn densification model ENSO ACW [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology info:eu-repo/semantics/article Journal articles 2021 ftutoulouse3hal https://doi.org/10.3390/rs13112199 2024-06-25T00:12:59Z International audience 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. ... Article in Journal/Newspaper Amundsen Sea Antarc* Antarctic Antarctic Peninsula Antarctica DML Dronning Maud Land East Antarctica Ice Sheet Pine Island Pine Island Glacier West Antarctica Wilkes Land Université Toulouse III - Paul Sabatier: HAL-UPS Remote Sensing 13 11 2199