Sea-ice data assimilation in NEMO-LIM2 and -LIM3 usingthe Ensemble Kalman Filter
We use the Ensemble Kalman Filter (EnKF) to assimilate either sea-ice concentration or sea-ice thickness data into the coupled ocean sea-ice models NEMO-LIM2 and - LIM3. Output from our data assimilation system is intended to be used to initialize decadal forecasts within the EU-project COMBINE. For...
Main Authors: | , , , , , |
---|---|
Other Authors: | |
Format: | Conference Object |
Language: | English |
Published: |
2010
|
Subjects: | |
Online Access: | http://hdl.handle.net/2078.1/71116 |
id |
ftunivlouvain:oai:dial.uclouvain.be:boreal:71116 |
---|---|
record_format |
openpolar |
spelling |
ftunivlouvain:oai:dial.uclouvain.be:boreal:71116 2024-05-19T07:48:10+00:00 Sea-ice data assimilation in NEMO-LIM2 and -LIM3 usingthe Ensemble Kalman Filter Konig Beatty, Christof Mathiot, Pierre Massonnet, François Fichefet, Thierry Goosse, Hugues Belgian IPY Symposium. The Contribution of Belgian Research to the Achievements of the International Polar Year 2007-2009, Koninklijke Vlaamse Academie van Belgie voor Wetenschappen en Kunsten, pp. 27-29 UCL - SST/ELI/ELIC - Earth & Climate 2010 http://hdl.handle.net/2078.1/71116 eng eng boreal:71116 http://hdl.handle.net/2078.1/71116 1443 info:eu-repo/semantics/conferenceObject 2010 ftunivlouvain 2024-04-24T01:46:26Z We use the Ensemble Kalman Filter (EnKF) to assimilate either sea-ice concentration or sea-ice thickness data into the coupled ocean sea-ice models NEMO-LIM2 and - LIM3. Output from our data assimilation system is intended to be used to initialize decadal forecasts within the EU-project COMBINE. For now assimilated data is model generated (twin experiments). We find that assimilation of data of one variable in NEMO-LIM2 does not only improve the assimilated variable but also non-assimilated variables. Such crossvariable improvement is very promising considering the scarcity of polar data, particularly of sea-ice thickness. We also show preliminary results of data assimilation experiments into the new version of our sea-ice model, NEMO-LIM3, where data assimilation does not yet lead to the expected results Conference Object Sea ice DIAL@UCLouvain (Université catholique de Louvain) |
institution |
Open Polar |
collection |
DIAL@UCLouvain (Université catholique de Louvain) |
op_collection_id |
ftunivlouvain |
language |
English |
topic |
1443 |
spellingShingle |
1443 Konig Beatty, Christof Mathiot, Pierre Massonnet, François Fichefet, Thierry Goosse, Hugues Belgian IPY Symposium. The Contribution of Belgian Research to the Achievements of the International Polar Year 2007-2009, Koninklijke Vlaamse Academie van Belgie voor Wetenschappen en Kunsten, pp. 27-29 Sea-ice data assimilation in NEMO-LIM2 and -LIM3 usingthe Ensemble Kalman Filter |
topic_facet |
1443 |
description |
We use the Ensemble Kalman Filter (EnKF) to assimilate either sea-ice concentration or sea-ice thickness data into the coupled ocean sea-ice models NEMO-LIM2 and - LIM3. Output from our data assimilation system is intended to be used to initialize decadal forecasts within the EU-project COMBINE. For now assimilated data is model generated (twin experiments). We find that assimilation of data of one variable in NEMO-LIM2 does not only improve the assimilated variable but also non-assimilated variables. Such crossvariable improvement is very promising considering the scarcity of polar data, particularly of sea-ice thickness. We also show preliminary results of data assimilation experiments into the new version of our sea-ice model, NEMO-LIM3, where data assimilation does not yet lead to the expected results |
author2 |
UCL - SST/ELI/ELIC - Earth & Climate |
format |
Conference Object |
author |
Konig Beatty, Christof Mathiot, Pierre Massonnet, François Fichefet, Thierry Goosse, Hugues Belgian IPY Symposium. The Contribution of Belgian Research to the Achievements of the International Polar Year 2007-2009, Koninklijke Vlaamse Academie van Belgie voor Wetenschappen en Kunsten, pp. 27-29 |
author_facet |
Konig Beatty, Christof Mathiot, Pierre Massonnet, François Fichefet, Thierry Goosse, Hugues Belgian IPY Symposium. The Contribution of Belgian Research to the Achievements of the International Polar Year 2007-2009, Koninklijke Vlaamse Academie van Belgie voor Wetenschappen en Kunsten, pp. 27-29 |
author_sort |
Konig Beatty, Christof |
title |
Sea-ice data assimilation in NEMO-LIM2 and -LIM3 usingthe Ensemble Kalman Filter |
title_short |
Sea-ice data assimilation in NEMO-LIM2 and -LIM3 usingthe Ensemble Kalman Filter |
title_full |
Sea-ice data assimilation in NEMO-LIM2 and -LIM3 usingthe Ensemble Kalman Filter |
title_fullStr |
Sea-ice data assimilation in NEMO-LIM2 and -LIM3 usingthe Ensemble Kalman Filter |
title_full_unstemmed |
Sea-ice data assimilation in NEMO-LIM2 and -LIM3 usingthe Ensemble Kalman Filter |
title_sort |
sea-ice data assimilation in nemo-lim2 and -lim3 usingthe ensemble kalman filter |
publishDate |
2010 |
url |
http://hdl.handle.net/2078.1/71116 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
boreal:71116 http://hdl.handle.net/2078.1/71116 |
_version_ |
1799488678322503680 |