Heterogeneous spatial and temporal pattern of surface elevation change and mass balance of the Patagonian ice fields between 2000 and 2016

The northern and southern Patagonian ice fields (NPI and SPI) have been subject to accelerated retreat during the last decades, with considerable variability in magnitude and timing among individual glaciers. We derive spatially detailed maps of surface elevation change (SEC) of NPI and SPI from bis...

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Published inThe cryosphere Vol. 13; no. 9; pp. 2511 - 2535
Main Authors Abdel Jaber, Wael, Rott, Helmut, Floricioiu, Dana, Wuite, Jan, Miranda, Nuno
Format Journal Article
LanguageEnglish
Published Katlenburg-Lindau Copernicus GmbH 27.09.2019
Copernicus Publications
Subjects
Acceleration
Backscatter
Backscattering
Digital Elevation Models
Elevation
Eustatic changes
Flow (Dynamics)
Flow velocity
Geophysical research
Glacier flow
Glaciers
Ice
Ice calving
Ice fields
Ice volume
Interferometry
Mass
Mass balance
Radar
Radar data
Remote sensing
SAR (radar)
Satellite remote sensing
Sea level
Sea level rise
Seasonal variations
Seasonality
Surface-ice melting
Synthetic aperture radar
Temporal variations
Topography (geology)
Chile
Southern Hemisphere
Online AccessGet full text
ISSN1994-0424
1994-0416
1994-0424
1994-0416
DOI10.5194/tc-13-2511-2019

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Abstract The northern and southern Patagonian ice fields (NPI and SPI) have been subject to accelerated retreat during the last decades, with considerable variability in magnitude and timing among individual glaciers. We derive spatially detailed maps of surface elevation change (SEC) of NPI and SPI from bistatic synthetic aperture radar (SAR) interferometry data of the Shuttle Radar Topography Mission (SRTM) and TerraSAR-X add-on for Digital Elevation Measurements (TanDEM-X) for two epochs, 2000–2012 and 2012–2016, and provide data on changes in surface elevation and ice volume for the individual glaciers and the ice fields at large. We apply advanced TanDEM-X processing techniques allowing us to cover 90 % and 95 % of the area of NPI and 97 % and 98 % of SPI for the two epochs, respectively. Particular attention is paid to precisely co-registering the digital elevation models (DEMs), accounting for possible effects of radar signal penetration through backscatter analysis and correcting for seasonality biases in case of deviations in repeat DEM coverage from full annual time spans. The results show a different temporal trend between the two ice fields and reveal a heterogeneous spatial pattern of SEC and mass balance caused by different sensitivities with respect to direct climatic forcing and ice flow dynamics of individual glaciers. The estimated volume change rates for NPI are -4.26±0.20 km3 a−1 for epoch 1 and -5.60±0.74 km3 a−1 for epoch 2, while for SPI these are -14.87±0.52 km3 a−1 for epoch 1 and -11.86±1.99 km3 a−1 for epoch 2. This corresponds for both ice fields to an eustatic sea level rise of 0.048±0.002 mm a−1 for epoch 1 and 0.043±0.005 mm a−1 for epoch 2. On SPI the spatial pattern of surface elevation change is more complex than on NPI and the temporal trend is less uniform. On terminus sections of the main calving glaciers of SPI, temporal variations in flow velocities are a main factor for differences in SEC between the two epochs. Striking differences are observed even on adjoining glaciers, such as Upsala Glacier, with decreasing mass losses associated with slowdown of flow velocity, contrasting with acceleration and increase in mass losses on Viedma Glacier.
AbstractList The northern and southern Patagonian ice fields (NPI and SPI) have been subject to accelerated retreat during the last decades, with considerable variability in magnitude and timing among individual glaciers. We derive spatially detailed maps of surface elevation change (SEC) of NPI and SPI from bistatic synthetic aperture radar (SAR) interferometry data of the Shuttle Radar Topography Mission (SRTM) and TerraSAR-X add-on for Digital Elevation Measurements (TanDEM-X) for two epochs, 2000–2012 and 2012–2016, and provide data on changes in surface elevation and ice volume for the individual glaciers and the ice fields at large. We apply advanced TanDEM-X processing techniques allowing us to cover 90 % and 95 % of the area of NPI and 97 % and 98 % of SPI for the two epochs, respectively. Particular attention is paid to precisely co-registering the digital elevation models (DEMs), accounting for possible effects of radar signal penetration through backscatter analysis and correcting for seasonality biases in case of deviations in repeat DEM coverage from full annual time spans. The results show a different temporal trend between the two ice fields and reveal a heterogeneous spatial pattern of SEC and mass balance caused by different sensitivities with respect to direct climatic forcing and ice flow dynamics of individual glaciers. The estimated volume change rates for NPI are - 4.26 ± 0.20 <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="64pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="b89828f9a77603a2d41ef60c7baad2d2"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="tc-13-2511-2019-ie00001.svg" width="64pt" height="10pt" src="tc-13-2511-2019-ie00001.png"/></svg:svg>  km 3  a −1 for epoch 1 and - 5.60 ± 0.74 <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="64pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="6107849c234e9d59f9331ac093ed7038"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="tc-13-2511-2019-ie00002.svg" width="64pt" height="10pt" src="tc-13-2511-2019-ie00002.png"/></svg:svg>  km 3  a −1 for epoch 2, while for SPI these are - 14.87 ± 0.52 <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="70pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="c40fe4cc7ac52c795dc00b6c7053c0cd"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="tc-13-2511-2019-ie00003.svg" width="70pt" height="10pt" src="tc-13-2511-2019-ie00003.png"/></svg:svg>  km 3  a −1 for epoch 1 and - 11.86 ± 1.99 <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="70pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="ba6365d233129f58fab56edcfdb48f7e"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="tc-13-2511-2019-ie00004.svg" width="70pt" height="10pt" src="tc-13-2511-2019-ie00004.png"/></svg:svg>  km 3  a −1 for epoch 2. This corresponds for both ice fields to an eustatic sea level rise of 0.048±0.002  mm a −1 for epoch 1 and 0.043±0.005  mm a −1 for epoch 2. On SPI the spatial pattern of surface elevation change is more complex than on NPI and the temporal trend is less uniform. On terminus sections of the main calving glaciers of SPI, temporal variations in flow velocities are a main factor for differences in SEC between the two epochs. Striking differences are observed even on adjoining glaciers, such as Upsala Glacier, with decreasing mass losses associated with slowdown of flow velocity, contrasting with acceleration and increase in mass losses on Viedma Glacier.
The northern and southern Patagonian ice fields (NPI and SPI) have been subject to accelerated retreat during the last decades, with considerable variability in magnitude and timing among individual glaciers. We derive spatially detailed maps of surface elevation change (SEC) of NPI and SPI from bistatic synthetic aperture radar (SAR) interferometry data of the Shuttle Radar Topography Mission (SRTM) and TerraSAR-X add-on for Digital Elevation Measurements (TanDEM-X) for two epochs, 2000–2012 and 2012–2016, and provide data on changes in surface elevation and ice volume for the individual glaciers and the ice fields at large. We apply advanced TanDEM-X processing techniques allowing us to cover 90 % and 95 % of the area of NPI and 97 % and 98 % of SPI for the two epochs, respectively. Particular attention is paid to precisely co-registering the digital elevation models (DEMs), accounting for possible effects of radar signal penetration through backscatter analysis and correcting for seasonality biases in case of deviations in repeat DEM coverage from full annual time spans. The results show a different temporal trend between the two ice fields and reveal a heterogeneous spatial pattern of SEC and mass balance caused by different sensitivities with respect to direct climatic forcing and ice flow dynamics of individual glaciers. The estimated volume change rates for NPI are -4.26±0.20 km3 a−1 for epoch 1 and -5.60±0.74 km3 a−1 for epoch 2, while for SPI these are -14.87±0.52 km3 a−1 for epoch 1 and -11.86±1.99 km3 a−1 for epoch 2. This corresponds for both ice fields to an eustatic sea level rise of 0.048±0.002 mm a−1 for epoch 1 and 0.043±0.005 mm a−1 for epoch 2. On SPI the spatial pattern of surface elevation change is more complex than on NPI and the temporal trend is less uniform. On terminus sections of the main calving glaciers of SPI, temporal variations in flow velocities are a main factor for differences in SEC between the two epochs. Striking differences are observed even on adjoining glaciers, such as Upsala Glacier, with decreasing mass losses associated with slowdown of flow velocity, contrasting with acceleration and increase in mass losses on Viedma Glacier.
The northern and southern Patagonian ice fields (NPI and SPI) have been subject to accelerated retreat during the last decades, with considerable variability in magnitude and timing among individual glaciers. We derive spatially detailed maps of surface elevation change (SEC) of NPI and SPI from bistatic synthetic aperture radar (SAR) interferometry data of the Shuttle Radar Topography Mission (SRTM) and TerraSAR-X add-on for Digital Elevation Measurements (TanDEM-X) for two epochs, 2000-2012 and 2012-2016, and provide data on changes in surface elevation and ice volume for the individual glaciers and the ice fields at large. We apply advanced TanDEM-X processing techniques allowing us to cover 90 % and 95 % of the area of NPI and 97 % and 98 % of SPI for the two epochs, respectively. Particular attention is paid to precisely co-registering the digital elevation models (DEMs), accounting for possible effects of radar signal penetration through backscatter analysis and correcting for seasonality biases in case of deviations in repeat DEM coverage from full annual time spans. The results show a different temporal trend between the two ice fields and reveal a heterogeneous spatial pattern of SEC and mass balance caused by different sensitivities with respect to direct climatic forcing and ice flow dynamics of individual glaciers. The estimated volume change rates for NPI are -4.26±0.20 km.sup.3  a.sup.-1 for epoch 1 and -5.60±0.74 km.sup.3  a.sup.-1 for epoch 2, while for SPI these are -14.87±0.52 km.sup.3  a.sup.-1 for epoch 1 and -11.86±1.99 km.sup.3  a.sup.-1 for epoch 2. This corresponds for both ice fields to an eustatic sea level rise of 0.048±0.002 mm a.sup.-1 for epoch 1 and 0.043±0.005 mm a.sup.-1 for epoch 2. On SPI the spatial pattern of surface elevation change is more complex than on NPI and the temporal trend is less uniform. On terminus sections of the main calving glaciers of SPI, temporal variations in flow velocities are a main factor for differences in SEC between the two epochs. Striking differences are observed even on adjoining glaciers, such as Upsala Glacier, with decreasing mass losses associated with slowdown of flow velocity, contrasting with acceleration and increase in mass losses on Viedma Glacier.
The northern and southern Patagonian ice fields (NPI and SPI) have been subject to accelerated retreat during the last decades, with considerable variability in magnitude and timing among individual glaciers. We derive spatially detailed maps of surface elevation change (SEC) of NPI and SPI from bistatic synthetic aperture radar (SAR) interferometry data of the Shuttle Radar Topography Mission (SRTM) and TerraSAR-X add-on for Digital Elevation Measurements (TanDEM-X) for two epochs, 2000–2012 and 2012–2016, and provide data on changes in surface elevation and ice volume for the individual glaciers and the ice fields at large. We apply advanced TanDEM-X processing techniques allowing us to cover 90 % and 95 % of the area of NPI and 97 % and 98 % of SPI for the two epochs, respectively. Particular attention is paid to precisely co-registering the digital elevation models (DEMs), accounting for possible effects of radar signal penetration through backscatter analysis and correcting for seasonality biases in case of deviations in repeat DEM coverage from full annual time spans. The results show a different temporal trend between the two ice fields and reveal a heterogeneous spatial pattern of SEC and mass balance caused by different sensitivities with respect to direct climatic forcing and ice flow dynamics of individual glaciers. The estimated volume change rates for NPI are -4.26±0.20 km3 a-1 for epoch 1 and -5.60±0.74 km3 a-1 for epoch 2, while for SPI these are -14.87±0.52 km3 a-1 for epoch 1 and -11.86±1.99 km3 a-1 for epoch 2. This corresponds for both ice fields to an eustatic sea level rise of 0.048±0.002 mm a-1 for epoch 1 and 0.043±0.005 mm a-1 for epoch 2. On SPI the spatial pattern of surface elevation change is more complex than on NPI and the temporal trend is less uniform. On terminus sections of the main calving glaciers of SPI, temporal variations in flow velocities are a main factor for differences in SEC between the two epochs. Striking differences are observed even on adjoining glaciers, such as Upsala Glacier, with decreasing mass losses associated with slowdown of flow velocity, contrasting with acceleration and increase in mass losses on Viedma Glacier.
Audience Academic
Author Wuite, Jan
Rott, Helmut
Floricioiu, Dana
Miranda, Nuno
Abdel Jaber, Wael
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  fullname: Rott, Helmut
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  surname: Floricioiu
  fullname: Floricioiu, Dana
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  givenname: Jan
  orcidid: 0000-0001-9333-1586
  surname: Wuite
  fullname: Wuite, Jan
– sequence: 5
  givenname: Nuno
  surname: Miranda
  fullname: Miranda, Nuno
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Snippet The northern and southern Patagonian ice fields (NPI and SPI) have been subject to accelerated retreat during the last decades, with considerable variability...
The northern and southern Patagonian ice fields (NPI and SPI) have been subject to accelerated retreat during the last decades, with considerable variability...
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SubjectTerms Acceleration
Backscatter
Backscattering
Digital Elevation Models
Elevation
Eustatic changes
Flow (Dynamics)
Flow velocity
Geophysical research
Glacier flow
Glaciers
Ice
Ice calving
Ice fields
Ice volume
Interferometry
Mass
Mass balance
Radar
Radar data
Remote sensing
SAR (radar)
Satellite remote sensing
Sea level
Sea level rise
Seasonal variations
Seasonality
Surface-ice melting
Synthetic aperture radar
Temporal variations
Topography (geology)
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Title Heterogeneous spatial and temporal pattern of surface elevation change and mass balance of the Patagonian ice fields between 2000 and 2016
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