High-resolution airborne observations of sea-ice pressure ridge sail height
Pressure ridges impact the mass, energy and momentum budgets of the sea-ice cover and present an obstacle to transportation through ice-infested waters. Quantifying ridge characteristics is important for understanding total sea-ice mass and for improving the representation of sea-ice dynamics in hig...
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Language: | English |
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Cambridge University Press
2018-07-01
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Series: | Annals of Glaciology |
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Online Access: | https://www.cambridge.org/core/product/identifier/S0260305518000022/type/journal_article |
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author | K. Duncan S. L. Farrell L. N. Connor J. Richter-Menge J. K. Hutchings R. Dominguez |
author_facet | K. Duncan S. L. Farrell L. N. Connor J. Richter-Menge J. K. Hutchings R. Dominguez |
author_sort | K. Duncan |
collection | DOAJ |
description | Pressure ridges impact the mass, energy and momentum budgets of the sea-ice cover and present an obstacle to transportation through ice-infested waters. Quantifying ridge characteristics is important for understanding total sea-ice mass and for improving the representation of sea-ice dynamics in high-resolution models. Multi-sensor measurements collected during annual Operation IceBridge (OIB) airborne surveys of the Arctic provide new opportunities to assess the sea ice at the end of winter. We present a new methodology to derive ridge sail height from high-resolution OIB Digital Mapping System (DMS) visible imagery. We assess the efficacy of the methodology by mapping the full sail height distribution along 12 pressure ridges in the western and central Arctic. Comparisons against coincident Airborne Topographic Mapper (ATM) elevation anomalies are used to demonstrate the methodology and evaluate DMS-derived sail heights. Sail heights and elevation anomalies were correlated at 0.81 or above. On average mean and maximum sail height agreed with ATM elevation to within 0.11 and 0.49 m, respectively. Of the ridges mapped, mean sail height ranged from 0.99 to 2.16 m, while maximum sail height ranged from 2.1 to 4.8 m. DMS also delivered higher sampling along ridge crests than coincident ATM data. |
first_indexed | 2024-04-10T05:04:58Z |
format | Article |
id | doaj.art-90826e4f5d1f4ab09b36a8399a3d92d0 |
institution | Directory Open Access Journal |
issn | 0260-3055 1727-5644 |
language | English |
last_indexed | 2024-04-10T05:04:58Z |
publishDate | 2018-07-01 |
publisher | Cambridge University Press |
record_format | Article |
series | Annals of Glaciology |
spelling | doaj.art-90826e4f5d1f4ab09b36a8399a3d92d02023-03-09T12:27:35ZengCambridge University PressAnnals of Glaciology0260-30551727-56442018-07-015913714710.1017/aog.2018.2High-resolution airborne observations of sea-ice pressure ridge sail heightK. Duncan0S. L. Farrell1https://orcid.org/0000-0003-3222-2751L. N. Connor2J. Richter-Menge3https://orcid.org/0000-0003-2899-0993J. K. Hutchings4R. Dominguez5Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA. E-mail: NOAA Laboratory for Satellite Altimetry, College Park, Maryland, USAEarth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA. E-mail: NOAA Laboratory for Satellite Altimetry, College Park, Maryland, USANOAA Laboratory for Satellite Altimetry, College Park, Maryland, USAUniversity of Alaska-Fairbanks, Fairbanks, Alaska, USACollege of Earth, Ocean and Atmospheric Sciences, Oregon State University, Corvallis, Oregon, USAUniversity of California Santa Cruz, Moffett Field, California, USAPressure ridges impact the mass, energy and momentum budgets of the sea-ice cover and present an obstacle to transportation through ice-infested waters. Quantifying ridge characteristics is important for understanding total sea-ice mass and for improving the representation of sea-ice dynamics in high-resolution models. Multi-sensor measurements collected during annual Operation IceBridge (OIB) airborne surveys of the Arctic provide new opportunities to assess the sea ice at the end of winter. We present a new methodology to derive ridge sail height from high-resolution OIB Digital Mapping System (DMS) visible imagery. We assess the efficacy of the methodology by mapping the full sail height distribution along 12 pressure ridges in the western and central Arctic. Comparisons against coincident Airborne Topographic Mapper (ATM) elevation anomalies are used to demonstrate the methodology and evaluate DMS-derived sail heights. Sail heights and elevation anomalies were correlated at 0.81 or above. On average mean and maximum sail height agreed with ATM elevation to within 0.11 and 0.49 m, respectively. Of the ridges mapped, mean sail height ranged from 0.99 to 2.16 m, while maximum sail height ranged from 2.1 to 4.8 m. DMS also delivered higher sampling along ridge crests than coincident ATM data.https://www.cambridge.org/core/product/identifier/S0260305518000022/type/journal_articlelaser altimetryremote sensingsea ice |
spellingShingle | K. Duncan S. L. Farrell L. N. Connor J. Richter-Menge J. K. Hutchings R. Dominguez High-resolution airborne observations of sea-ice pressure ridge sail height Annals of Glaciology laser altimetry remote sensing sea ice |
title | High-resolution airborne observations of sea-ice pressure ridge sail height |
title_full | High-resolution airborne observations of sea-ice pressure ridge sail height |
title_fullStr | High-resolution airborne observations of sea-ice pressure ridge sail height |
title_full_unstemmed | High-resolution airborne observations of sea-ice pressure ridge sail height |
title_short | High-resolution airborne observations of sea-ice pressure ridge sail height |
title_sort | high resolution airborne observations of sea ice pressure ridge sail height |
topic | laser altimetry remote sensing sea ice |
url | https://www.cambridge.org/core/product/identifier/S0260305518000022/type/journal_article |
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