Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter
The choice of parameter values is crucial in the course of sea ice model development, since parameters largely affect the modeled mean sea ice state. Manual tuning of parameters will soon become impractical, as sea ice models will likely include more parameters to calibrate, leading to an exponentia...
Published in: | Journal of Geophysical Research: Oceans |
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Online Access: | http://hdl.handle.net/2078.1/147302 https://doi.org/10.1002/2013JC009705 |
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ftunivlouvain:oai:dial.uclouvain.be:boreal:147302 2024-05-19T07:36:33+00:00 Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter Massonnet, François Goosse, Hugues Fichefet, Thierry Counillon, F. UCL - SST/ELI/ELIC - Earth & Climate 2014 http://hdl.handle.net/2078.1/147302 https://doi.org/10.1002/2013JC009705 eng eng boreal:147302 http://hdl.handle.net/2078.1/147302 doi:10.1002/2013JC009705 urn:ISSN:2169-9275 info:eu-repo/semantics/openAccess Journal of Geophysical Research: Oceans, Vol. 119, no.7, p. 4168-4184 (2014) CISM:CECI 1443 info:eu-repo/semantics/article 2014 ftunivlouvain https://doi.org/10.1002/2013JC009705 2024-04-24T01:34:29Z The choice of parameter values is crucial in the course of sea ice model development, since parameters largely affect the modeled mean sea ice state. Manual tuning of parameters will soon become impractical, as sea ice models will likely include more parameters to calibrate, leading to an exponential increase of the number of possible combinations to test. Objective and automatic methods for parameter calibration are thus progressively called on to replace the traditional heuristic, ‘‘trial-and-error’’ recipes. Here a method for calibration of parameters based on the ensemble Kalman filter is implemented, tested and validated in the ocean-sea ice model NEMO-LIM3. Three dynamic parameters are calibrated: the ice strength parameter P*, the ocean-sea ice drag parameter Cw, and the atmosphere-sea ice drag parameter Ca. In twin, perfect-model experiments, the default parameter values are retrieved within 1 year of simulation. Using 2007–2012 real sea ice drift data, the calibration of the ice strength parameter P* and the oceanic drag parameter Cw improves clearly the Arctic sea ice drift properties. It is found that the estimation of the atmospheric drag Ca is not necessary if P* and Cw are already estimated. The large reduction in the sea ice speed bias with calibrated parameters comes with a slight overestimation of the winter sea ice areal export through Fram Strait and a slight improvement in the sea ice thickness distribution. Overall, the estimation of parameters with the ensemble Kalman filter represents an encouraging alternative to manual tuning for ocean-sea ice models. Article in Journal/Newspaper Arctic Fram Strait Sea ice DIAL@UCLouvain (Université catholique de Louvain) Journal of Geophysical Research: Oceans 119 7 4168 4184 |
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Open Polar |
collection |
DIAL@UCLouvain (Université catholique de Louvain) |
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ftunivlouvain |
language |
English |
topic |
CISM:CECI 1443 |
spellingShingle |
CISM:CECI 1443 Massonnet, François Goosse, Hugues Fichefet, Thierry Counillon, F. Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter |
topic_facet |
CISM:CECI 1443 |
description |
The choice of parameter values is crucial in the course of sea ice model development, since parameters largely affect the modeled mean sea ice state. Manual tuning of parameters will soon become impractical, as sea ice models will likely include more parameters to calibrate, leading to an exponential increase of the number of possible combinations to test. Objective and automatic methods for parameter calibration are thus progressively called on to replace the traditional heuristic, ‘‘trial-and-error’’ recipes. Here a method for calibration of parameters based on the ensemble Kalman filter is implemented, tested and validated in the ocean-sea ice model NEMO-LIM3. Three dynamic parameters are calibrated: the ice strength parameter P*, the ocean-sea ice drag parameter Cw, and the atmosphere-sea ice drag parameter Ca. In twin, perfect-model experiments, the default parameter values are retrieved within 1 year of simulation. Using 2007–2012 real sea ice drift data, the calibration of the ice strength parameter P* and the oceanic drag parameter Cw improves clearly the Arctic sea ice drift properties. It is found that the estimation of the atmospheric drag Ca is not necessary if P* and Cw are already estimated. The large reduction in the sea ice speed bias with calibrated parameters comes with a slight overestimation of the winter sea ice areal export through Fram Strait and a slight improvement in the sea ice thickness distribution. Overall, the estimation of parameters with the ensemble Kalman filter represents an encouraging alternative to manual tuning for ocean-sea ice models. |
author2 |
UCL - SST/ELI/ELIC - Earth & Climate |
format |
Article in Journal/Newspaper |
author |
Massonnet, François Goosse, Hugues Fichefet, Thierry Counillon, F. |
author_facet |
Massonnet, François Goosse, Hugues Fichefet, Thierry Counillon, F. |
author_sort |
Massonnet, François |
title |
Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter |
title_short |
Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter |
title_full |
Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter |
title_fullStr |
Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter |
title_full_unstemmed |
Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter |
title_sort |
calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble kalman filter |
publishDate |
2014 |
url |
http://hdl.handle.net/2078.1/147302 https://doi.org/10.1002/2013JC009705 |
genre |
Arctic Fram Strait Sea ice |
genre_facet |
Arctic Fram Strait Sea ice |
op_source |
Journal of Geophysical Research: Oceans, Vol. 119, no.7, p. 4168-4184 (2014) |
op_relation |
boreal:147302 http://hdl.handle.net/2078.1/147302 doi:10.1002/2013JC009705 urn:ISSN:2169-9275 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1002/2013JC009705 |
container_title |
Journal of Geophysical Research: Oceans |
container_volume |
119 |
container_issue |
7 |
container_start_page |
4168 |
op_container_end_page |
4184 |
_version_ |
1799475689136586752 |