Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations

Simulating sea ice drift and deformation in the Arctic Ocean is still a challenge because of the multiscale interaction of sea ice floes that compose the Arctic Sea ice cover. The Sea Ice Rheology Experiment (SIREx) is a model intercomparison project of the Forum of Arctic Modeling and Observational...

Full description

Bibliographic Details
Published in:Journal of Geophysical Research: Oceans
Main Authors: Hutter, Nils, Bouchat, Amélie, Dupont, Frédéric, Dukhovskoy, Dmitry, Koldunov, Nikolay, Lee, Younjoo J., Lemieux, Jean‐François, Lique, Camille, Losch, Martin, Maslowski, Wieslaw, Myers, Paul G., Ólason, Einar, Rampal, Pierre, Rasmussen, Till, Talandier, Claude, Tremblay, Bruno, Wang, Qiang
Format: Article in Journal/Newspaper
Language:unknown
Published: 2022
Subjects:
Online Access:https://epic.awi.de/id/eprint/56510/
https://epic.awi.de/id/eprint/56510/1/Hutter_SIREx2_2022.pdf
https://doi.org/10.1029/2021JC017666
https://hdl.handle.net/10013/epic.c2a258ca-d109-41ba-8b5b-71bc2250b64f
id ftawi:oai:epic.awi.de:56510
record_format openpolar
spelling ftawi:oai:epic.awi.de:56510 2024-09-15T17:54:01+00:00 Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations Hutter, Nils Bouchat, Amélie Dupont, Frédéric Dukhovskoy, Dmitry Koldunov, Nikolay Lee, Younjoo J. Lemieux, Jean‐François Lique, Camille Losch, Martin Maslowski, Wieslaw Myers, Paul G. Ólason, Einar Rampal, Pierre Rasmussen, Till Talandier, Claude Tremblay, Bruno Wang, Qiang 2022 application/pdf https://epic.awi.de/id/eprint/56510/ https://epic.awi.de/id/eprint/56510/1/Hutter_SIREx2_2022.pdf https://doi.org/10.1029/2021JC017666 https://hdl.handle.net/10013/epic.c2a258ca-d109-41ba-8b5b-71bc2250b64f unknown https://epic.awi.de/id/eprint/56510/1/Hutter_SIREx2_2022.pdf Hutter, N. orcid:0000-0003-3450-9422 , Bouchat, A. , Dupont, F. , Dukhovskoy, D. , Koldunov, N. orcid:0000-0002-3365-8146 , Lee, Y. J. , Lemieux, J. , Lique, C. , Losch, M. orcid:0000-0002-3824-5244 , Maslowski, W. , Myers, P. G. , Ólason, E. , Rampal, P. , Rasmussen, T. , Talandier, C. , Tremblay, B. and Wang, Q. orcid:0000-0002-2704-5394 (2022) Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations , Journal of Geophysical Research: Oceans, 127 (4) . doi:10.1029/2021JC017666 <https://doi.org/10.1029/2021JC017666> , hdl:10013/epic.c2a258ca-d109-41ba-8b5b-71bc2250b64f EPIC3Journal of Geophysical Research: Oceans, 127(4), ISSN: 2169-9275 Article NonPeerReviewed 2022 ftawi https://doi.org/10.1029/2021JC017666 2024-06-24T04:28:46Z Simulating sea ice drift and deformation in the Arctic Ocean is still a challenge because of the multiscale interaction of sea ice floes that compose the Arctic Sea ice cover. The Sea Ice Rheology Experiment (SIREx) is a model intercomparison project of the Forum of Arctic Modeling and Observational Synthesis (FAMOS). In SIREx, skill metrics are designed to evaluate different recently suggested approaches for modeling linear kinematic features (LKFs) to provide guidance for modeling small-scale deformation. These LKFs are narrow bands of localized deformation that can be observed in satellite images and also form in high resolution sea ice simulations. In this contribution, spatial and temporal properties of LKFs are assessed in 36 simulations of state-of-the-art sea ice models and compared to deformation features derived from the RADARSAT Geophysical Processor System. All simulations produce LKFs, but only very few models realistically simulate at least some statistics of LKF properties such as densities, lengths, or growth rates. All SIREx models overestimate the angle of fracture between conjugate pairs of LKFs and LKF lifetimes pointing to inaccurate model physics. The temporal and spatial resolution of a simulation and the spatial resolution of atmospheric boundary condition affect simulated LKFs as much as the model's sea ice rheology and numerics. Only in very high resolution simulations (≤2 km) the concentration and thickness anomalies along LKFs are large enough to affect air-ice-ocean interaction processes. Article in Journal/Newspaper Arctic Ocean Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Journal of Geophysical Research: Oceans 127 4
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description Simulating sea ice drift and deformation in the Arctic Ocean is still a challenge because of the multiscale interaction of sea ice floes that compose the Arctic Sea ice cover. The Sea Ice Rheology Experiment (SIREx) is a model intercomparison project of the Forum of Arctic Modeling and Observational Synthesis (FAMOS). In SIREx, skill metrics are designed to evaluate different recently suggested approaches for modeling linear kinematic features (LKFs) to provide guidance for modeling small-scale deformation. These LKFs are narrow bands of localized deformation that can be observed in satellite images and also form in high resolution sea ice simulations. In this contribution, spatial and temporal properties of LKFs are assessed in 36 simulations of state-of-the-art sea ice models and compared to deformation features derived from the RADARSAT Geophysical Processor System. All simulations produce LKFs, but only very few models realistically simulate at least some statistics of LKF properties such as densities, lengths, or growth rates. All SIREx models overestimate the angle of fracture between conjugate pairs of LKFs and LKF lifetimes pointing to inaccurate model physics. The temporal and spatial resolution of a simulation and the spatial resolution of atmospheric boundary condition affect simulated LKFs as much as the model's sea ice rheology and numerics. Only in very high resolution simulations (≤2 km) the concentration and thickness anomalies along LKFs are large enough to affect air-ice-ocean interaction processes.
format Article in Journal/Newspaper
author Hutter, Nils
Bouchat, Amélie
Dupont, Frédéric
Dukhovskoy, Dmitry
Koldunov, Nikolay
Lee, Younjoo J.
Lemieux, Jean‐François
Lique, Camille
Losch, Martin
Maslowski, Wieslaw
Myers, Paul G.
Ólason, Einar
Rampal, Pierre
Rasmussen, Till
Talandier, Claude
Tremblay, Bruno
Wang, Qiang
spellingShingle Hutter, Nils
Bouchat, Amélie
Dupont, Frédéric
Dukhovskoy, Dmitry
Koldunov, Nikolay
Lee, Younjoo J.
Lemieux, Jean‐François
Lique, Camille
Losch, Martin
Maslowski, Wieslaw
Myers, Paul G.
Ólason, Einar
Rampal, Pierre
Rasmussen, Till
Talandier, Claude
Tremblay, Bruno
Wang, Qiang
Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations
author_facet Hutter, Nils
Bouchat, Amélie
Dupont, Frédéric
Dukhovskoy, Dmitry
Koldunov, Nikolay
Lee, Younjoo J.
Lemieux, Jean‐François
Lique, Camille
Losch, Martin
Maslowski, Wieslaw
Myers, Paul G.
Ólason, Einar
Rampal, Pierre
Rasmussen, Till
Talandier, Claude
Tremblay, Bruno
Wang, Qiang
author_sort Hutter, Nils
title Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations
title_short Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations
title_full Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations
title_fullStr Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations
title_full_unstemmed Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations
title_sort sea ice rheology experiment (sirex): 2. evaluating linear kinematic features in high‐resolution sea ice simulations
publishDate 2022
url https://epic.awi.de/id/eprint/56510/
https://epic.awi.de/id/eprint/56510/1/Hutter_SIREx2_2022.pdf
https://doi.org/10.1029/2021JC017666
https://hdl.handle.net/10013/epic.c2a258ca-d109-41ba-8b5b-71bc2250b64f
genre Arctic Ocean
Sea ice
genre_facet Arctic Ocean
Sea ice
op_source EPIC3Journal of Geophysical Research: Oceans, 127(4), ISSN: 2169-9275
op_relation https://epic.awi.de/id/eprint/56510/1/Hutter_SIREx2_2022.pdf
Hutter, N. orcid:0000-0003-3450-9422 , Bouchat, A. , Dupont, F. , Dukhovskoy, D. , Koldunov, N. orcid:0000-0002-3365-8146 , Lee, Y. J. , Lemieux, J. , Lique, C. , Losch, M. orcid:0000-0002-3824-5244 , Maslowski, W. , Myers, P. G. , Ólason, E. , Rampal, P. , Rasmussen, T. , Talandier, C. , Tremblay, B. and Wang, Q. orcid:0000-0002-2704-5394 (2022) Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations , Journal of Geophysical Research: Oceans, 127 (4) . doi:10.1029/2021JC017666 <https://doi.org/10.1029/2021JC017666> , hdl:10013/epic.c2a258ca-d109-41ba-8b5b-71bc2250b64f
op_doi https://doi.org/10.1029/2021JC017666
container_title Journal of Geophysical Research: Oceans
container_volume 127
container_issue 4
_version_ 1810430178583642112