Quantifying seasonal skill in coupled sea ice models using freeboard measurements from spaceborne laser altimeters
Satellites and several specially equipped scientific aircraft provide basin-wide altimetric measurements of sea ice freeboard, from which sea ice thickness can be estimated. Up to now, few methods have been developed to use these measurements to quantitatively assess the skill of predictive models o...
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ftnavalpschool:oai:calhoun.nps.edu:10945/49374 2024-06-09T07:43:20+00:00 Quantifying seasonal skill in coupled sea ice models using freeboard measurements from spaceborne laser altimeters Bench, Kristine N. Roberts, Andrew Oceanography Maslowski, Wieslaw 2016-06 application/pdf https://hdl.handle.net/10945/49374 unknown Monterey, California. Naval Postgraduate School https://hdl.handle.net/10945/49374 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. Arctic climate change Regional Arctic System Model altimetry measurements sea ice sea ice thickness freeboard ICESat ICESat-2 climate model coupled model Operation IceBridge Thesis 2016 ftnavalpschool 2024-05-15T00:50:25Z Satellites and several specially equipped scientific aircraft provide basin-wide altimetric measurements of sea ice freeboard, from which sea ice thickness can be estimated. Up to now, few methods have been developed to use these measurements to quantitatively assess the skill of predictive models of sea ice for the Arctic. This thesis addresses this problem, using measured freeboard from ICESat and Operation IceBridge (OIB). Output from the Regional Arctic System Model (RASM) is used to demonstrate applicability of both variance- and correlation-weighted skill scores of freeboard that quantify model skill and take measurement error into account. The techniques are demonstrated using two different RASM configurations, one using Elastic-Viscous-Plastic (EVP) ice mechanics, the other using the Elastic- Anisotropic-Plastic (EAP) rheology, both simulated for 2004 and 2007, during which ICESat was in operation. RASM variance skill scores ranged from 0.712 to 0.824 and correlation skill scores were between 0.319 and 0.511. The skill scores were calculated for monthly periods and require little adaption to be applicable for monthly to decadal Navy forecasts of the Arctic. This will help improve sea ice prediction by quantifying model limitations and thus maximize the usefulness of ICESat-2 freeboard measurements after that satellite is launched next year. Approved for public release; distribution is unlimited. Lieutenant, United States Navy http://archive.org/details/quantifyingseaso1094549374 Thesis Arctic Climate change Sea ice Naval Postgraduate School: Calhoun Arctic |
institution |
Open Polar |
collection |
Naval Postgraduate School: Calhoun |
op_collection_id |
ftnavalpschool |
language |
unknown |
topic |
Arctic climate change Regional Arctic System Model altimetry measurements sea ice sea ice thickness freeboard ICESat ICESat-2 climate model coupled model Operation IceBridge |
spellingShingle |
Arctic climate change Regional Arctic System Model altimetry measurements sea ice sea ice thickness freeboard ICESat ICESat-2 climate model coupled model Operation IceBridge Bench, Kristine N. Quantifying seasonal skill in coupled sea ice models using freeboard measurements from spaceborne laser altimeters |
topic_facet |
Arctic climate change Regional Arctic System Model altimetry measurements sea ice sea ice thickness freeboard ICESat ICESat-2 climate model coupled model Operation IceBridge |
description |
Satellites and several specially equipped scientific aircraft provide basin-wide altimetric measurements of sea ice freeboard, from which sea ice thickness can be estimated. Up to now, few methods have been developed to use these measurements to quantitatively assess the skill of predictive models of sea ice for the Arctic. This thesis addresses this problem, using measured freeboard from ICESat and Operation IceBridge (OIB). Output from the Regional Arctic System Model (RASM) is used to demonstrate applicability of both variance- and correlation-weighted skill scores of freeboard that quantify model skill and take measurement error into account. The techniques are demonstrated using two different RASM configurations, one using Elastic-Viscous-Plastic (EVP) ice mechanics, the other using the Elastic- Anisotropic-Plastic (EAP) rheology, both simulated for 2004 and 2007, during which ICESat was in operation. RASM variance skill scores ranged from 0.712 to 0.824 and correlation skill scores were between 0.319 and 0.511. The skill scores were calculated for monthly periods and require little adaption to be applicable for monthly to decadal Navy forecasts of the Arctic. This will help improve sea ice prediction by quantifying model limitations and thus maximize the usefulness of ICESat-2 freeboard measurements after that satellite is launched next year. Approved for public release; distribution is unlimited. Lieutenant, United States Navy http://archive.org/details/quantifyingseaso1094549374 |
author2 |
Roberts, Andrew Oceanography Maslowski, Wieslaw |
format |
Thesis |
author |
Bench, Kristine N. |
author_facet |
Bench, Kristine N. |
author_sort |
Bench, Kristine N. |
title |
Quantifying seasonal skill in coupled sea ice models using freeboard measurements from spaceborne laser altimeters |
title_short |
Quantifying seasonal skill in coupled sea ice models using freeboard measurements from spaceborne laser altimeters |
title_full |
Quantifying seasonal skill in coupled sea ice models using freeboard measurements from spaceborne laser altimeters |
title_fullStr |
Quantifying seasonal skill in coupled sea ice models using freeboard measurements from spaceborne laser altimeters |
title_full_unstemmed |
Quantifying seasonal skill in coupled sea ice models using freeboard measurements from spaceborne laser altimeters |
title_sort |
quantifying seasonal skill in coupled sea ice models using freeboard measurements from spaceborne laser altimeters |
publisher |
Monterey, California. Naval Postgraduate School |
publishDate |
2016 |
url |
https://hdl.handle.net/10945/49374 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Sea ice |
genre_facet |
Arctic Climate change Sea ice |
op_relation |
https://hdl.handle.net/10945/49374 |
op_rights |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
_version_ |
1801372093292478464 |