Surface elevation, hydrostatic ice thickness and basal mass balance of the Roi Baudouin Ice Shelf, East Antarctica, link to GeoTIFFs, supplement to: Berger, Sophie; Drews, Reinhard; Helm, Veit; Sun, Sainan; Pattyn, Frank (2017): Detecting high spatial variability of ice-shelf basal mass balance (Roi Baudouin ice shelf, Antarctica). The Cryosphere, 11(6), 2675-2690
Ice shelves control the dynamic mass loss of ice sheets through buttressing and their integrity depends on the spatial variability of their basal mass balance (BMB) i.e., the difference between refreezing and melting. Here, we present an improved technique - based on satellite observations - to capt...
Main Authors: | , , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
PANGAEA - Data Publisher for Earth & Environmental Science
2017
|
Subjects: | |
Online Access: | https://dx.doi.org/10.1594/pangaea.883285 https://doi.pangaea.de/10.1594/PANGAEA.883285 |
id |
ftdatacite:10.1594/pangaea.883285 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
File content File name File format File size Uniform resource locator/link to file Satellite remote sensing |
spellingShingle |
File content File name File format File size Uniform resource locator/link to file Satellite remote sensing Berger, Sophie Drews, Reinhard Helm, Veit Sun, Sainan Pattyn, Frank Surface elevation, hydrostatic ice thickness and basal mass balance of the Roi Baudouin Ice Shelf, East Antarctica, link to GeoTIFFs, supplement to: Berger, Sophie; Drews, Reinhard; Helm, Veit; Sun, Sainan; Pattyn, Frank (2017): Detecting high spatial variability of ice-shelf basal mass balance (Roi Baudouin ice shelf, Antarctica). The Cryosphere, 11(6), 2675-2690 |
topic_facet |
File content File name File format File size Uniform resource locator/link to file Satellite remote sensing |
description |
Ice shelves control the dynamic mass loss of ice sheets through buttressing and their integrity depends on the spatial variability of their basal mass balance (BMB) i.e., the difference between refreezing and melting. Here, we present an improved technique - based on satellite observations - to capture the small-scale variability in the BMB of ice shelves. As a case study, we apply the methodology to the Roi Baudouin Ice Shelf, Dronning Maud Land, East Antarctica, and derive its yearly averaged BMB at 10 m horizontal gridding. We use mass conservation in a Lagrangian framework based on high-resolution surface velocities, atmospheric-model surface mass balance and hydrostatic ice-thickness fields (derived from TanDEM-X surface elevation). Spatial derivatives are implemented using the total-variation differentiation, which preserves abrupt changes in flowvelocities and their spatial gradients. Such changes may reflect a dynamic response to localized basal melting and should be included in the mass budget. Our BMB field exhibits much spatial detail and ranges from -14.7 to 8.6 m/a ice equivalent. Highest melt rates are found close to the grounding line where the pressure melting point is high, and the ice-shelf slope is steep. The BMB field agrees well with on-site measurements from phase-sensitive radar, although independent radar profiling indicates unresolved spatial variations in firn density. We show that an elliptical surface depression (10 m deep and with an extent of 0.7 km ×1.3 km) lowers by 0.5 to 1.4 m/a , which we tentatively attribute to a transient adaptation to hydrostatic equilibrium. We find evidence for elevated melting beneath ice shelf channels (with melting being concentrated on the channel'sflanks). However, farther downstream from the grounding line, the majority of ice shelf channels advect passively (i.e. no melting nor refreezing) toward the ice shelf front. Although the absolute, satellite-based BMB values remain uncertain, we have high confidence in the spatial variability on sub-kilometre scales. This study highlights expected challenges for a full coupling between ice and ocean models. : 3 rasters data are provided :- the Lagrangian basal mass balance (BMB) is given in (ice-equivalent) m/a and is computed with the methodology described in Berger et al (2017, doi:10.5194/tc-11-2675-2017).- the surface elevation is given in meters relative to the Ellipsoid WGS84 and comes from SAR interferometry on TanDEM-X satellite data of 2013. The elevation data have been filtered using a Gaussian filter with a standard deviation of 7 pixels (see Berger et al, 2017, doi:10.5194/tc-11-2675-2017).- the thickness is given in ice-equivalent meters and is computed by assuming hydrostatic equilibrium with densities of 1027 kg/m³, 910 kg/m³ and 2 kg/m³ for seawater, ice and firn air, respectively. The firn air correction used here comes from Lenaerts et al (2017, doi:10.1038/nclimate3180). |
format |
Dataset |
author |
Berger, Sophie Drews, Reinhard Helm, Veit Sun, Sainan Pattyn, Frank |
author_facet |
Berger, Sophie Drews, Reinhard Helm, Veit Sun, Sainan Pattyn, Frank |
author_sort |
Berger, Sophie |
title |
Surface elevation, hydrostatic ice thickness and basal mass balance of the Roi Baudouin Ice Shelf, East Antarctica, link to GeoTIFFs, supplement to: Berger, Sophie; Drews, Reinhard; Helm, Veit; Sun, Sainan; Pattyn, Frank (2017): Detecting high spatial variability of ice-shelf basal mass balance (Roi Baudouin ice shelf, Antarctica). The Cryosphere, 11(6), 2675-2690 |
title_short |
Surface elevation, hydrostatic ice thickness and basal mass balance of the Roi Baudouin Ice Shelf, East Antarctica, link to GeoTIFFs, supplement to: Berger, Sophie; Drews, Reinhard; Helm, Veit; Sun, Sainan; Pattyn, Frank (2017): Detecting high spatial variability of ice-shelf basal mass balance (Roi Baudouin ice shelf, Antarctica). The Cryosphere, 11(6), 2675-2690 |
title_full |
Surface elevation, hydrostatic ice thickness and basal mass balance of the Roi Baudouin Ice Shelf, East Antarctica, link to GeoTIFFs, supplement to: Berger, Sophie; Drews, Reinhard; Helm, Veit; Sun, Sainan; Pattyn, Frank (2017): Detecting high spatial variability of ice-shelf basal mass balance (Roi Baudouin ice shelf, Antarctica). The Cryosphere, 11(6), 2675-2690 |
title_fullStr |
Surface elevation, hydrostatic ice thickness and basal mass balance of the Roi Baudouin Ice Shelf, East Antarctica, link to GeoTIFFs, supplement to: Berger, Sophie; Drews, Reinhard; Helm, Veit; Sun, Sainan; Pattyn, Frank (2017): Detecting high spatial variability of ice-shelf basal mass balance (Roi Baudouin ice shelf, Antarctica). The Cryosphere, 11(6), 2675-2690 |
title_full_unstemmed |
Surface elevation, hydrostatic ice thickness and basal mass balance of the Roi Baudouin Ice Shelf, East Antarctica, link to GeoTIFFs, supplement to: Berger, Sophie; Drews, Reinhard; Helm, Veit; Sun, Sainan; Pattyn, Frank (2017): Detecting high spatial variability of ice-shelf basal mass balance (Roi Baudouin ice shelf, Antarctica). The Cryosphere, 11(6), 2675-2690 |
title_sort |
surface elevation, hydrostatic ice thickness and basal mass balance of the roi baudouin ice shelf, east antarctica, link to geotiffs, supplement to: berger, sophie; drews, reinhard; helm, veit; sun, sainan; pattyn, frank (2017): detecting high spatial variability of ice-shelf basal mass balance (roi baudouin ice shelf, antarctica). the cryosphere, 11(6), 2675-2690 |
publisher |
PANGAEA - Data Publisher for Earth & Environmental Science |
publishDate |
2017 |
url |
https://dx.doi.org/10.1594/pangaea.883285 https://doi.pangaea.de/10.1594/PANGAEA.883285 |
long_lat |
ENVELOPE(24.461,24.461,-70.438,-70.438) |
geographic |
Dronning Maud Land East Antarctica Roi Baudouin |
geographic_facet |
Dronning Maud Land East Antarctica Roi Baudouin |
genre |
Antarc* Antarctica Dronning Maud Land East Antarctica Ice Shelf Ice Shelves |
genre_facet |
Antarc* Antarctica Dronning Maud Land East Antarctica Ice Shelf Ice Shelves |
op_relation |
https://dx.doi.org/10.5194/tc-11-2675-2017 |
op_rights |
Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1594/pangaea.883285 https://doi.org/10.5194/tc-11-2675-2017 |
_version_ |
1766053582598045696 |
spelling |
ftdatacite:10.1594/pangaea.883285 2023-05-15T13:34:29+02:00 Surface elevation, hydrostatic ice thickness and basal mass balance of the Roi Baudouin Ice Shelf, East Antarctica, link to GeoTIFFs, supplement to: Berger, Sophie; Drews, Reinhard; Helm, Veit; Sun, Sainan; Pattyn, Frank (2017): Detecting high spatial variability of ice-shelf basal mass balance (Roi Baudouin ice shelf, Antarctica). The Cryosphere, 11(6), 2675-2690 Berger, Sophie Drews, Reinhard Helm, Veit Sun, Sainan Pattyn, Frank 2017 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.883285 https://doi.pangaea.de/10.1594/PANGAEA.883285 en eng PANGAEA - Data Publisher for Earth & Environmental Science https://dx.doi.org/10.5194/tc-11-2675-2017 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 CC-BY File content File name File format File size Uniform resource locator/link to file Satellite remote sensing Dataset dataset Supplementary Dataset 2017 ftdatacite https://doi.org/10.1594/pangaea.883285 https://doi.org/10.5194/tc-11-2675-2017 2022-02-09T13:38:16Z Ice shelves control the dynamic mass loss of ice sheets through buttressing and their integrity depends on the spatial variability of their basal mass balance (BMB) i.e., the difference between refreezing and melting. Here, we present an improved technique - based on satellite observations - to capture the small-scale variability in the BMB of ice shelves. As a case study, we apply the methodology to the Roi Baudouin Ice Shelf, Dronning Maud Land, East Antarctica, and derive its yearly averaged BMB at 10 m horizontal gridding. We use mass conservation in a Lagrangian framework based on high-resolution surface velocities, atmospheric-model surface mass balance and hydrostatic ice-thickness fields (derived from TanDEM-X surface elevation). Spatial derivatives are implemented using the total-variation differentiation, which preserves abrupt changes in flowvelocities and their spatial gradients. Such changes may reflect a dynamic response to localized basal melting and should be included in the mass budget. Our BMB field exhibits much spatial detail and ranges from -14.7 to 8.6 m/a ice equivalent. Highest melt rates are found close to the grounding line where the pressure melting point is high, and the ice-shelf slope is steep. The BMB field agrees well with on-site measurements from phase-sensitive radar, although independent radar profiling indicates unresolved spatial variations in firn density. We show that an elliptical surface depression (10 m deep and with an extent of 0.7 km ×1.3 km) lowers by 0.5 to 1.4 m/a , which we tentatively attribute to a transient adaptation to hydrostatic equilibrium. We find evidence for elevated melting beneath ice shelf channels (with melting being concentrated on the channel'sflanks). However, farther downstream from the grounding line, the majority of ice shelf channels advect passively (i.e. no melting nor refreezing) toward the ice shelf front. Although the absolute, satellite-based BMB values remain uncertain, we have high confidence in the spatial variability on sub-kilometre scales. This study highlights expected challenges for a full coupling between ice and ocean models. : 3 rasters data are provided :- the Lagrangian basal mass balance (BMB) is given in (ice-equivalent) m/a and is computed with the methodology described in Berger et al (2017, doi:10.5194/tc-11-2675-2017).- the surface elevation is given in meters relative to the Ellipsoid WGS84 and comes from SAR interferometry on TanDEM-X satellite data of 2013. The elevation data have been filtered using a Gaussian filter with a standard deviation of 7 pixels (see Berger et al, 2017, doi:10.5194/tc-11-2675-2017).- the thickness is given in ice-equivalent meters and is computed by assuming hydrostatic equilibrium with densities of 1027 kg/m³, 910 kg/m³ and 2 kg/m³ for seawater, ice and firn air, respectively. The firn air correction used here comes from Lenaerts et al (2017, doi:10.1038/nclimate3180). Dataset Antarc* Antarctica Dronning Maud Land East Antarctica Ice Shelf Ice Shelves DataCite Metadata Store (German National Library of Science and Technology) Dronning Maud Land East Antarctica Roi Baudouin ENVELOPE(24.461,24.461,-70.438,-70.438) |