Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic

International audience We present a sensitivity analysis and discuss the probabilistic forecast capabilities of the novel sea ice model neXtSIM used in hindcast mode. The study pertains to the response of the model to the uncertainty on winds using probabilistic forecasts of ice trajectories. neXtSI...

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Published in:The Cryosphere
Main Authors: Rabatel, Matthias, Rampal, Pierre, Carrassi, Alberto, Bertino, Laurent, Jones, Christopher K. R. T.
Other Authors: Nansen Environmental and Remote Sensing Center Bergen (NERSC), University of North Carolina Chapel Hill (UNC), University of North Carolina System (UNC)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2018
Subjects:
Online Access:https://hal.univ-grenoble-alpes.fr/hal-03405811
https://hal.univ-grenoble-alpes.fr/hal-03405811/document
https://hal.univ-grenoble-alpes.fr/hal-03405811/file/Rabatel2018The_Cryosphere.pdf
https://doi.org/10.5194/tc-12-1-2018
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spelling ftccsdartic:oai:HAL:hal-03405811v1 2023-05-15T15:03:49+02:00 Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic Rabatel, Matthias Rampal, Pierre Carrassi, Alberto Bertino, Laurent Jones, Christopher K. R. T. Nansen Environmental and Remote Sensing Center Bergen (NERSC) University of North Carolina Chapel Hill (UNC) University of North Carolina System (UNC) 2018 https://hal.univ-grenoble-alpes.fr/hal-03405811 https://hal.univ-grenoble-alpes.fr/hal-03405811/document https://hal.univ-grenoble-alpes.fr/hal-03405811/file/Rabatel2018The_Cryosphere.pdf https://doi.org/10.5194/tc-12-1-2018 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-12-1-2018 hal-03405811 https://hal.univ-grenoble-alpes.fr/hal-03405811 https://hal.univ-grenoble-alpes.fr/hal-03405811/document https://hal.univ-grenoble-alpes.fr/hal-03405811/file/Rabatel2018The_Cryosphere.pdf doi:10.5194/tc-12-1-2018 info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.univ-grenoble-alpes.fr/hal-03405811 The Cryosphere, Copernicus 2018, 12 (1), pp.1 - 24. ⟨10.5194/tc-12-1-2018⟩ [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography info:eu-repo/semantics/article Journal articles 2018 ftccsdartic https://doi.org/10.5194/tc-12-1-2018 2021-11-06T23:27:34Z International audience We present a sensitivity analysis and discuss the probabilistic forecast capabilities of the novel sea ice model neXtSIM used in hindcast mode. The study pertains to the response of the model to the uncertainty on winds using probabilistic forecasts of ice trajectories. neXtSIM is a continuous Lagrangian numerical model that uses an elasto-brittle rheology to simulate the ice response to external forces. The sensitivity analysis is based on a Monte Carlo sampling of 12 members. The response of the model to the uncertainties is evaluated in terms of simulated ice drift distances from their initial positions, and from the mean position of the ensemble, over the mid-term forecast horizon of 10 days. The simulated ice drift is decomposed into advective and diffusive parts that are characterised separately both spatially and temporally and compared to what is obtained with a free-drift model, that is, when the ice rheology does not play any role in the modelled physics of the ice. The seasonal variability of the model sensitivity is presented and shows the role of the ice compactness and rheology in the ice drift response at both local and regional scales in the Arctic. Indeed, the ice drift simulated by neXtSIM in summer is close to the one obtained with the free-drift model, while the more compact and solid ice pack shows a significantly different mechanical and drift behaviour in winter. For the winter period analysed in this study, we also show that, in contrast to the free-drift model, neXtSIM reproduces the sea ice Lagrangian diffusion regimes as found from observed trajectories. The forecast capability of neXtSIM is also evaluated using a large set of real buoy's trajectories and compared to the capability of the freedrift model. We found that neXtSIM performs significantly better in simulating sea ice drift, both in terms of forecast error and as a tool to assist search and rescue operations, although the sources of uncertainties assumed for the present experiment are not sufficient ... Article in Journal/Newspaper Arctic ice pack Sea ice The Cryosphere Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Arctic The Cryosphere 12 1 1 24
institution Open Polar
collection Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
op_collection_id ftccsdartic
language English
topic [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
spellingShingle [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
Rabatel, Matthias
Rampal, Pierre
Carrassi, Alberto
Bertino, Laurent
Jones, Christopher K. R. T.
Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic
topic_facet [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
description International audience We present a sensitivity analysis and discuss the probabilistic forecast capabilities of the novel sea ice model neXtSIM used in hindcast mode. The study pertains to the response of the model to the uncertainty on winds using probabilistic forecasts of ice trajectories. neXtSIM is a continuous Lagrangian numerical model that uses an elasto-brittle rheology to simulate the ice response to external forces. The sensitivity analysis is based on a Monte Carlo sampling of 12 members. The response of the model to the uncertainties is evaluated in terms of simulated ice drift distances from their initial positions, and from the mean position of the ensemble, over the mid-term forecast horizon of 10 days. The simulated ice drift is decomposed into advective and diffusive parts that are characterised separately both spatially and temporally and compared to what is obtained with a free-drift model, that is, when the ice rheology does not play any role in the modelled physics of the ice. The seasonal variability of the model sensitivity is presented and shows the role of the ice compactness and rheology in the ice drift response at both local and regional scales in the Arctic. Indeed, the ice drift simulated by neXtSIM in summer is close to the one obtained with the free-drift model, while the more compact and solid ice pack shows a significantly different mechanical and drift behaviour in winter. For the winter period analysed in this study, we also show that, in contrast to the free-drift model, neXtSIM reproduces the sea ice Lagrangian diffusion regimes as found from observed trajectories. The forecast capability of neXtSIM is also evaluated using a large set of real buoy's trajectories and compared to the capability of the freedrift model. We found that neXtSIM performs significantly better in simulating sea ice drift, both in terms of forecast error and as a tool to assist search and rescue operations, although the sources of uncertainties assumed for the present experiment are not sufficient ...
author2 Nansen Environmental and Remote Sensing Center Bergen (NERSC)
University of North Carolina Chapel Hill (UNC)
University of North Carolina System (UNC)
format Article in Journal/Newspaper
author Rabatel, Matthias
Rampal, Pierre
Carrassi, Alberto
Bertino, Laurent
Jones, Christopher K. R. T.
author_facet Rabatel, Matthias
Rampal, Pierre
Carrassi, Alberto
Bertino, Laurent
Jones, Christopher K. R. T.
author_sort Rabatel, Matthias
title Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic
title_short Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic
title_full Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic
title_fullStr Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic
title_full_unstemmed Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic
title_sort impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the arctic
publisher HAL CCSD
publishDate 2018
url https://hal.univ-grenoble-alpes.fr/hal-03405811
https://hal.univ-grenoble-alpes.fr/hal-03405811/document
https://hal.univ-grenoble-alpes.fr/hal-03405811/file/Rabatel2018The_Cryosphere.pdf
https://doi.org/10.5194/tc-12-1-2018
geographic Arctic
geographic_facet Arctic
genre Arctic
ice pack
Sea ice
The Cryosphere
genre_facet Arctic
ice pack
Sea ice
The Cryosphere
op_source ISSN: 1994-0424
EISSN: 1994-0416
The Cryosphere
https://hal.univ-grenoble-alpes.fr/hal-03405811
The Cryosphere, Copernicus 2018, 12 (1), pp.1 - 24. ⟨10.5194/tc-12-1-2018⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-12-1-2018
hal-03405811
https://hal.univ-grenoble-alpes.fr/hal-03405811
https://hal.univ-grenoble-alpes.fr/hal-03405811/document
https://hal.univ-grenoble-alpes.fr/hal-03405811/file/Rabatel2018The_Cryosphere.pdf
doi:10.5194/tc-12-1-2018
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.5194/tc-12-1-2018
container_title The Cryosphere
container_volume 12
container_issue 1
container_start_page 1
op_container_end_page 24
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