Antarctic geothermal heat flux distribution and estimated Curie Depths, links to gridded files

Antarctica is the largest reservoir of ice on Earth. Understanding its ice sheet dynamics is crucial to unraveling past global climate change and making robust climatic and sea level predictions. Of the basic parameters that shape and control ice flow, the most poorly known is geothermal heat flux....

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Main Author: Martos, Yasmina M
Format: Dataset
Language:English
Published: PANGAEA 2017
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.882503
https://doi.org/10.1594/PANGAEA.882503
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spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.882503 2023-05-15T13:58:16+02:00 Antarctic geothermal heat flux distribution and estimated Curie Depths, links to gridded files Martos, Yasmina M LATITUDE: -90.000000 * LONGITUDE: 0.000000 2017-11-03 text/tab-separated-values, 20 data points https://doi.pangaea.de/10.1594/PANGAEA.882503 https://doi.org/10.1594/PANGAEA.882503 en eng PANGAEA https://doi.pangaea.de/10.1594/PANGAEA.882503 https://doi.org/10.1594/PANGAEA.882503 CC-BY-3.0: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess CC-BY Supplement to: Martos, Yasmina M; Catalan, Manuel; Jordan, Tom A; Golynsky, Alexander V; Golynsky, Dmitry A; Eagles, Graeme; Vaughan, David G (2017): Heat flux distribution of Antarctica unveiled. Geophysical Research Letters, 44(22), 11417-11426, https://doi.org/10.1002/2017GL075609 File content File format File name File size pan-Antarctica Uniform resource locator/link to file Dataset 2017 ftpangaea https://doi.org/10.1594/PANGAEA.882503 https://doi.org/10.1002/2017GL075609 2023-01-20T09:09:53Z Antarctica is the largest reservoir of ice on Earth. Understanding its ice sheet dynamics is crucial to unraveling past global climate change and making robust climatic and sea level predictions. Of the basic parameters that shape and control ice flow, the most poorly known is geothermal heat flux. Direct observations of heat flux are difficult to obtain in Antarctica, and until now continent-wide heat flux maps have only been derived from low-resolution satellite magnetic and seismological data. We present a high resolution heat flux map and associated uncertainty derived from spectral analysis of the most advanced continental compilation of airborne magnetic data. Small-scale spatial variability and features consistent with known geology are better reproduced than in previous models, between 36% and 50%. Our high-resolution heat-flux map and its uncertainty distribution provide an important new boundary condition to be used in studies on future subglacial hydrology, ice-sheet dynamics and sea-level change. Dataset Antarc* Antarctic Antarctica Ice Sheet PANGAEA - Data Publisher for Earth & Environmental Science Antarctic ENVELOPE(0.000000,0.000000,-90.000000,-90.000000)
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic File content
File format
File name
File size
pan-Antarctica
Uniform resource locator/link to file
spellingShingle File content
File format
File name
File size
pan-Antarctica
Uniform resource locator/link to file
Martos, Yasmina M
Antarctic geothermal heat flux distribution and estimated Curie Depths, links to gridded files
topic_facet File content
File format
File name
File size
pan-Antarctica
Uniform resource locator/link to file
description Antarctica is the largest reservoir of ice on Earth. Understanding its ice sheet dynamics is crucial to unraveling past global climate change and making robust climatic and sea level predictions. Of the basic parameters that shape and control ice flow, the most poorly known is geothermal heat flux. Direct observations of heat flux are difficult to obtain in Antarctica, and until now continent-wide heat flux maps have only been derived from low-resolution satellite magnetic and seismological data. We present a high resolution heat flux map and associated uncertainty derived from spectral analysis of the most advanced continental compilation of airborne magnetic data. Small-scale spatial variability and features consistent with known geology are better reproduced than in previous models, between 36% and 50%. Our high-resolution heat-flux map and its uncertainty distribution provide an important new boundary condition to be used in studies on future subglacial hydrology, ice-sheet dynamics and sea-level change.
format Dataset
author Martos, Yasmina M
author_facet Martos, Yasmina M
author_sort Martos, Yasmina M
title Antarctic geothermal heat flux distribution and estimated Curie Depths, links to gridded files
title_short Antarctic geothermal heat flux distribution and estimated Curie Depths, links to gridded files
title_full Antarctic geothermal heat flux distribution and estimated Curie Depths, links to gridded files
title_fullStr Antarctic geothermal heat flux distribution and estimated Curie Depths, links to gridded files
title_full_unstemmed Antarctic geothermal heat flux distribution and estimated Curie Depths, links to gridded files
title_sort antarctic geothermal heat flux distribution and estimated curie depths, links to gridded files
publisher PANGAEA
publishDate 2017
url https://doi.pangaea.de/10.1594/PANGAEA.882503
https://doi.org/10.1594/PANGAEA.882503
op_coverage LATITUDE: -90.000000 * LONGITUDE: 0.000000
long_lat ENVELOPE(0.000000,0.000000,-90.000000,-90.000000)
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
Antarctica
Ice Sheet
genre_facet Antarc*
Antarctic
Antarctica
Ice Sheet
op_source Supplement to: Martos, Yasmina M; Catalan, Manuel; Jordan, Tom A; Golynsky, Alexander V; Golynsky, Dmitry A; Eagles, Graeme; Vaughan, David G (2017): Heat flux distribution of Antarctica unveiled. Geophysical Research Letters, 44(22), 11417-11426, https://doi.org/10.1002/2017GL075609
op_relation https://doi.pangaea.de/10.1594/PANGAEA.882503
https://doi.org/10.1594/PANGAEA.882503
op_rights CC-BY-3.0: Creative Commons Attribution 3.0 Unported
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.1594/PANGAEA.882503
https://doi.org/10.1002/2017GL075609
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