Evaluation of simulated sea-ice concentrations from sea-ice/ocean models using satellite data and polynya classification methods
Sea-ice concentrations in the Laptev Sea simulated by the coupled North Atlantic–Arctic Ocean–Sea-Ice Model and Finite Element Sea-Ice Ocean Model are evaluated using sea-ice concentrations from Advanced Microwave Scanning Radiometer–Earth Observing System satellite...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Norwegian Polar Institute
2011-05-01
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Series: | Polar Research |
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Online Access: | http://www.polarresearch.net/index.php/polar/article/view/7124/pdf_134 |
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author | Susanne Adams Sascha Willmes Günther Heinemann Polona Rozman Ralph Timmermann David Schröder |
author_facet | Susanne Adams Sascha Willmes Günther Heinemann Polona Rozman Ralph Timmermann David Schröder |
author_sort | Susanne Adams |
collection | DOAJ |
description | Sea-ice concentrations in the Laptev Sea simulated by the coupled North Atlantic–Arctic Ocean–Sea-Ice Model and Finite Element Sea-Ice Ocean Model are evaluated using sea-ice concentrations from Advanced Microwave Scanning Radiometer–Earth Observing System satellite data and a polynya classification method for winter 2007/08. While developed to simulate large-scale sea-ice conditions, both models are analysed here in terms of polynya simulation. The main modification of both models in this study is the implementation of a landfast-ice mask. Simulated sea-ice fields from different model runs are compared with emphasis placed on the impact of this prescribed landfast-ice mask. We demonstrate that sea-ice models are not able to simulate flaw polynyas realistically when used without fast-ice description. Our investigations indicate that without landfast ice and with coarse horizontal resolution the models overestimate the fraction of open water in the polynya. This is not because a realistic polynya appears but due to a larger-scale reduction of ice concentrations and smoothed ice-concentration fields. After implementation of a landfast-ice mask, the polynya location is realistically simulated but the total open-water area is still overestimated in most cases. The study shows that the fast-ice parameterization is essential for model improvements. However, further improvements are necessary in order to progress from the simulation of large-scale features in the Arctic towards a more detailed simulation of smaller-scaled features (here polynyas) in an Arctic shelf sea. |
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institution | Directory Open Access Journal |
issn | 0800-0395 1751-8369 |
language | English |
last_indexed | 2024-12-18T03:25:38Z |
publishDate | 2011-05-01 |
publisher | Norwegian Polar Institute |
record_format | Article |
series | Polar Research |
spelling | doaj.art-d679b33cc0ee4e089548c0712484e35d2022-12-21T21:22:39ZengNorwegian Polar InstitutePolar Research0800-03951751-83692011-05-0130011710.3402/polar.v30i0.7124Evaluation of simulated sea-ice concentrations from sea-ice/ocean models using satellite data and polynya classification methodsSusanne AdamsSascha WillmesGünther HeinemannPolona RozmanRalph TimmermannDavid SchröderSea-ice concentrations in the Laptev Sea simulated by the coupled North Atlantic–Arctic Ocean–Sea-Ice Model and Finite Element Sea-Ice Ocean Model are evaluated using sea-ice concentrations from Advanced Microwave Scanning Radiometer–Earth Observing System satellite data and a polynya classification method for winter 2007/08. While developed to simulate large-scale sea-ice conditions, both models are analysed here in terms of polynya simulation. The main modification of both models in this study is the implementation of a landfast-ice mask. Simulated sea-ice fields from different model runs are compared with emphasis placed on the impact of this prescribed landfast-ice mask. We demonstrate that sea-ice models are not able to simulate flaw polynyas realistically when used without fast-ice description. Our investigations indicate that without landfast ice and with coarse horizontal resolution the models overestimate the fraction of open water in the polynya. This is not because a realistic polynya appears but due to a larger-scale reduction of ice concentrations and smoothed ice-concentration fields. After implementation of a landfast-ice mask, the polynya location is realistically simulated but the total open-water area is still overestimated in most cases. The study shows that the fast-ice parameterization is essential for model improvements. However, further improvements are necessary in order to progress from the simulation of large-scale features in the Arctic towards a more detailed simulation of smaller-scaled features (here polynyas) in an Arctic shelf sea.http://www.polarresearch.net/index.php/polar/article/view/7124/pdf_134Polynyassea icesea-ice/ocean modelsremote sensing |
spellingShingle | Susanne Adams Sascha Willmes Günther Heinemann Polona Rozman Ralph Timmermann David Schröder Evaluation of simulated sea-ice concentrations from sea-ice/ocean models using satellite data and polynya classification methods Polar Research Polynyas sea ice sea-ice/ocean models remote sensing |
title | Evaluation of simulated sea-ice concentrations from sea-ice/ocean models using satellite data and polynya classification methods |
title_full | Evaluation of simulated sea-ice concentrations from sea-ice/ocean models using satellite data and polynya classification methods |
title_fullStr | Evaluation of simulated sea-ice concentrations from sea-ice/ocean models using satellite data and polynya classification methods |
title_full_unstemmed | Evaluation of simulated sea-ice concentrations from sea-ice/ocean models using satellite data and polynya classification methods |
title_short | Evaluation of simulated sea-ice concentrations from sea-ice/ocean models using satellite data and polynya classification methods |
title_sort | evaluation of simulated sea ice concentrations from sea ice ocean models using satellite data and polynya classification methods |
topic | Polynyas sea ice sea-ice/ocean models remote sensing |
url | http://www.polarresearch.net/index.php/polar/article/view/7124/pdf_134 |
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