Comparing Arctic Sea Ice Model Simulations to Satellite observations by Multiscale Directional Analysis of Sea Ice Deformation
Sea ice models have become essential components of weather, climate and ocean models. The reliability of process studies, environmental forecasts and climate projections alike depend on a realistic representation of sea ice. Developing and evaluating sea ice models requires methods for both large sc...
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ftawi:oai:epic.awi.de:51863 2023-05-15T14:27:17+02:00 Comparing Arctic Sea Ice Model Simulations to Satellite observations by Multiscale Directional Analysis of Sea Ice Deformation Mohammadi Aragh, Mahdi Losch, Martin Goessling, Helge 2020-05-08 application/pdf https://epic.awi.de/id/eprint/51863/ https://epic.awi.de/id/eprint/51863/1/EGU2020_MMA.pdf https://meetingorganizer.copernicus.org/EGU2020/EGU2020-18293.html https://hdl.handle.net/10013/epic.1ac8cc90-bb80-4f88-9691-083dc140f01f https://hdl.handle.net/ unknown https://epic.awi.de/id/eprint/51863/1/EGU2020_MMA.pdf https://hdl.handle.net/ Mohammadi Aragh, M. , Losch, M. orcid:0000-0002-3824-5244 and Goessling, H. orcid:0000-0001-9018-1383 (2020) Comparing Arctic Sea Ice Model Simulations to Satellite observations by Multiscale Directional Analysis of Sea Ice Deformation , EGU General Assembly, Virtual Vienna, 4 May 2020 - 8 May 2020 . hdl:10013/epic.1ac8cc90-bb80-4f88-9691-083dc140f01f EPIC3EGU General Assembly, Virtual Vienna, 2020-05-04-2020-05-08 Conference notRev 2020 ftawi 2021-12-24T15:45:30Z Sea ice models have become essential components of weather, climate and ocean models. The reliability of process studies, environmental forecasts and climate projections alike depend on a realistic representation of sea ice. Developing and evaluating sea ice models requires methods for both large scales and fine-scale geomorphological structures such as linear kinematic features (LKF). We introduce a Multiscale Directional Analysis (MDA) method that diagnoses distributions of LKF orientation and intersection angles. The MDA method is different from previous methods in that it (a) takes into account the width of LKFs instead of estimating the orientation of centerlines; (b) separates curve-like features from point-like features providing the opportunity to reach a unified definition of LKF in both numerical and observational fields; (c) estimates scale-dependent intersection angles. Conference Object Arctic Arctic Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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ftawi |
language |
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description |
Sea ice models have become essential components of weather, climate and ocean models. The reliability of process studies, environmental forecasts and climate projections alike depend on a realistic representation of sea ice. Developing and evaluating sea ice models requires methods for both large scales and fine-scale geomorphological structures such as linear kinematic features (LKF). We introduce a Multiscale Directional Analysis (MDA) method that diagnoses distributions of LKF orientation and intersection angles. The MDA method is different from previous methods in that it (a) takes into account the width of LKFs instead of estimating the orientation of centerlines; (b) separates curve-like features from point-like features providing the opportunity to reach a unified definition of LKF in both numerical and observational fields; (c) estimates scale-dependent intersection angles. |
format |
Conference Object |
author |
Mohammadi Aragh, Mahdi Losch, Martin Goessling, Helge |
spellingShingle |
Mohammadi Aragh, Mahdi Losch, Martin Goessling, Helge Comparing Arctic Sea Ice Model Simulations to Satellite observations by Multiscale Directional Analysis of Sea Ice Deformation |
author_facet |
Mohammadi Aragh, Mahdi Losch, Martin Goessling, Helge |
author_sort |
Mohammadi Aragh, Mahdi |
title |
Comparing Arctic Sea Ice Model Simulations to Satellite observations by Multiscale Directional Analysis of Sea Ice Deformation |
title_short |
Comparing Arctic Sea Ice Model Simulations to Satellite observations by Multiscale Directional Analysis of Sea Ice Deformation |
title_full |
Comparing Arctic Sea Ice Model Simulations to Satellite observations by Multiscale Directional Analysis of Sea Ice Deformation |
title_fullStr |
Comparing Arctic Sea Ice Model Simulations to Satellite observations by Multiscale Directional Analysis of Sea Ice Deformation |
title_full_unstemmed |
Comparing Arctic Sea Ice Model Simulations to Satellite observations by Multiscale Directional Analysis of Sea Ice Deformation |
title_sort |
comparing arctic sea ice model simulations to satellite observations by multiscale directional analysis of sea ice deformation |
publishDate |
2020 |
url |
https://epic.awi.de/id/eprint/51863/ https://epic.awi.de/id/eprint/51863/1/EGU2020_MMA.pdf https://meetingorganizer.copernicus.org/EGU2020/EGU2020-18293.html https://hdl.handle.net/10013/epic.1ac8cc90-bb80-4f88-9691-083dc140f01f https://hdl.handle.net/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Sea ice |
genre_facet |
Arctic Arctic Sea ice |
op_source |
EPIC3EGU General Assembly, Virtual Vienna, 2020-05-04-2020-05-08 |
op_relation |
https://epic.awi.de/id/eprint/51863/1/EGU2020_MMA.pdf https://hdl.handle.net/ Mohammadi Aragh, M. , Losch, M. orcid:0000-0002-3824-5244 and Goessling, H. orcid:0000-0001-9018-1383 (2020) Comparing Arctic Sea Ice Model Simulations to Satellite observations by Multiscale Directional Analysis of Sea Ice Deformation , EGU General Assembly, Virtual Vienna, 4 May 2020 - 8 May 2020 . hdl:10013/epic.1ac8cc90-bb80-4f88-9691-083dc140f01f |
_version_ |
1766300925773742080 |