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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Language: | English |
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ftvliz:oai:oma.vliz.be:246972 2023-05-15T15:11:18+02:00 Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter Massonnet, F. Goosse, H. Fichefet, T. Counillon, F 2014 http://www.vliz.be/nl/open-marien-archief?module=ref&refid=246972 en eng info:eu-repo/semantics/altIdentifier/wos/000340415500008 info:eu-repo/semantics/altIdentifier/doi/doi.org/10.1002/2013JC009705 http://www.vliz.be/nl/open-marien-archief?module=ref&refid=246972 info:eu-repo/semantics/restrictedAccess %3Ci%3EJ.+Geophys.+Res.+Oceans%28119%29%3C%2Fi%3E%3A+4168-4184.+%3Ca+href%3D%22https%3A%2F%2Fdx.doi.org%2F10.1002%2F2013JC009705%22+target%3D%22_blank%22%3Ehttps%3A%2F%2Fdx.doi.org%2F10.1002%2F2013JC009705%3C%2Fa%3E info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2014 ftvliz https://doi.org/10.1002/2013JC009705 2022-05-01T10:26:40Z 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 C w , and the atmosphere-sea ice drag parameter C a . 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 C w improves clearly the Arctic sea ice drift properties. It is found that the estimation of the atmospheric drag C a is not necessary if P * and C w 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 Flanders Marine Institute (VLIZ): Open Marine Archive (OMA) Arctic Journal of Geophysical Research: Oceans 119 7 4168 4184 |
institution |
Open Polar |
collection |
Flanders Marine Institute (VLIZ): Open Marine Archive (OMA) |
op_collection_id |
ftvliz |
language |
English |
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 C w , and the atmosphere-sea ice drag parameter C a . 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 C w improves clearly the Arctic sea ice drift properties. It is found that the estimation of the atmospheric drag C a is not necessary if P * and C w 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. |
format |
Article in Journal/Newspaper |
author |
Massonnet, F. Goosse, H. Fichefet, T. Counillon, F |
spellingShingle |
Massonnet, F. Goosse, H. Fichefet, T. Counillon, F Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter |
author_facet |
Massonnet, F. Goosse, H. Fichefet, T. Counillon, F |
author_sort |
Massonnet, F. |
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://www.vliz.be/nl/open-marien-archief?module=ref&refid=246972 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Fram Strait Sea ice |
genre_facet |
Arctic Fram Strait Sea ice |
op_source |
%3Ci%3EJ.+Geophys.+Res.+Oceans%28119%29%3C%2Fi%3E%3A+4168-4184.+%3Ca+href%3D%22https%3A%2F%2Fdx.doi.org%2F10.1002%2F2013JC009705%22+target%3D%22_blank%22%3Ehttps%3A%2F%2Fdx.doi.org%2F10.1002%2F2013JC009705%3C%2Fa%3E |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/000340415500008 info:eu-repo/semantics/altIdentifier/doi/doi.org/10.1002/2013JC009705 http://www.vliz.be/nl/open-marien-archief?module=ref&refid=246972 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
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_ |
1766342175730171904 |