Weak relationship between remotely detected crevasses and inferred ice rheological parameters on Antarctic ice shelves

Over the past decade, a wealth of research has been devoted to the detection of crevasses in glaciers and ice sheets via remote sensing and machine learning techniques. It is often argued that remotely sensed damage maps can function as early warning signals for shifts in ice shelf conditions from i...

Full description

Bibliographic Details
Main Authors: Gerli, Cristina, Rosier, Sebastian, Gudmundsson, Hilmar, Sun, Sainan
Format: Text
Language:English
Published: 2024
Subjects:
Online Access:https://doi.org/10.5194/egusphere-2023-2362
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2362/
id ftcopernicus:oai:publications.copernicus.org:egusphere115376
record_format openpolar
spelling ftcopernicus:oai:publications.copernicus.org:egusphere115376 2024-09-15T17:45:23+00:00 Weak relationship between remotely detected crevasses and inferred ice rheological parameters on Antarctic ice shelves Gerli, Cristina Rosier, Sebastian Gudmundsson, Hilmar Sun, Sainan 2024-06-06 application/pdf https://doi.org/10.5194/egusphere-2023-2362 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2362/ eng eng doi:10.5194/egusphere-2023-2362 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2362/ eISSN: Text 2024 ftcopernicus https://doi.org/10.5194/egusphere-2023-2362 2024-08-28T05:24:15Z Over the past decade, a wealth of research has been devoted to the detection of crevasses in glaciers and ice sheets via remote sensing and machine learning techniques. It is often argued that remotely sensed damage maps can function as early warning signals for shifts in ice shelf conditions from intact to damaged states and can serve as an important tool for ice sheet modellers to improve future sea level rise predictions. Here, we provide evidence for the Filchner–Ronne and Pine Island ice shelves that remotely sensed damage maps are only weakly related to the ice rate factor field A derived by an ice flow model when inverting for surface velocities. This technique is a common procedure in ice flow models, as it guarantees that any inferred changes in A relate to changes in ice flow measured through observations. The weak relationship found is improved when investigating heavily damaged shear margins, as observed on the Pine Island Ice Shelf; however, even in this setting, this association remains modest. Our findings suggest that many features identified as damage through remote sensing methods are not of direct relevance to present-day ice shelf flow. While damage can clearly play an important role in ice shelf processes and thus be relevant for ice sheet behaviour and sea level rise projections, our results imply that mapping ice damage directly from satellite observations may not directly help improve the representation of these processes in ice flow models. Text Antarc* Antarctic Ice Sheet Ice Shelf Ice Shelves Copernicus Publications: E-Journals
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Over the past decade, a wealth of research has been devoted to the detection of crevasses in glaciers and ice sheets via remote sensing and machine learning techniques. It is often argued that remotely sensed damage maps can function as early warning signals for shifts in ice shelf conditions from intact to damaged states and can serve as an important tool for ice sheet modellers to improve future sea level rise predictions. Here, we provide evidence for the Filchner–Ronne and Pine Island ice shelves that remotely sensed damage maps are only weakly related to the ice rate factor field A derived by an ice flow model when inverting for surface velocities. This technique is a common procedure in ice flow models, as it guarantees that any inferred changes in A relate to changes in ice flow measured through observations. The weak relationship found is improved when investigating heavily damaged shear margins, as observed on the Pine Island Ice Shelf; however, even in this setting, this association remains modest. Our findings suggest that many features identified as damage through remote sensing methods are not of direct relevance to present-day ice shelf flow. While damage can clearly play an important role in ice shelf processes and thus be relevant for ice sheet behaviour and sea level rise projections, our results imply that mapping ice damage directly from satellite observations may not directly help improve the representation of these processes in ice flow models.
format Text
author Gerli, Cristina
Rosier, Sebastian
Gudmundsson, Hilmar
Sun, Sainan
spellingShingle Gerli, Cristina
Rosier, Sebastian
Gudmundsson, Hilmar
Sun, Sainan
Weak relationship between remotely detected crevasses and inferred ice rheological parameters on Antarctic ice shelves
author_facet Gerli, Cristina
Rosier, Sebastian
Gudmundsson, Hilmar
Sun, Sainan
author_sort Gerli, Cristina
title Weak relationship between remotely detected crevasses and inferred ice rheological parameters on Antarctic ice shelves
title_short Weak relationship between remotely detected crevasses and inferred ice rheological parameters on Antarctic ice shelves
title_full Weak relationship between remotely detected crevasses and inferred ice rheological parameters on Antarctic ice shelves
title_fullStr Weak relationship between remotely detected crevasses and inferred ice rheological parameters on Antarctic ice shelves
title_full_unstemmed Weak relationship between remotely detected crevasses and inferred ice rheological parameters on Antarctic ice shelves
title_sort weak relationship between remotely detected crevasses and inferred ice rheological parameters on antarctic ice shelves
publishDate 2024
url https://doi.org/10.5194/egusphere-2023-2362
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2362/
genre Antarc*
Antarctic
Ice Sheet
Ice Shelf
Ice Shelves
genre_facet Antarc*
Antarctic
Ice Sheet
Ice Shelf
Ice Shelves
op_source eISSN:
op_relation doi:10.5194/egusphere-2023-2362
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2362/
op_doi https://doi.org/10.5194/egusphere-2023-2362
_version_ 1810493174095806464