Reconstructions of the climate states over last centuries using particle filtering
In order to test data assimilation approaches adapted to paleoclimatology, we conduct experiments with the three-dimensional Earth system model of intermediate complexity LOVECLIM using particle filtering to reconstruct past climate states over the last 150 years. We consider two particle filtering...
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ftunistlouisbrus:oai:dial.uclouvain.be:boreal:118817 2024-05-12T08:10:51+00:00 Reconstructions of the climate states over last centuries using particle filtering Dubinkina, Svetlana Goosse, Hugues Zunz, Violette Sallaz-Damaz, Yoann 2012 http://hdl.handle.net/2078/118817 eng eng boreal:118817 http://hdl.handle.net/2078/118817 info:eu-repo/semantics/conferenceObject 2012 ftunistlouisbrus 2024-04-18T18:03:16Z In order to test data assimilation approaches adapted to paleoclimatology, we conduct experiments with the three-dimensional Earth system model of intermediate complexity LOVECLIM using particle filtering to reconstruct past climate states over the last 150 years. We consider two particle filtering methods: sequential importance resampling and an extremely efficient particle filter. We compare results of the simulations obtained using LOVECLIM only, LOVECLIM constrained by sequential importance resampling, and LOVECLIM constrained by the extremely efficient particle filter. In the last two simulations, surface temperature from a twin experiment is assimilated over southern hemisphere. As a mean of comparison we choose reconstructions of surface temperature, sea ice extent and sea ice concentration in the southern hemisphere. Conference Object Sea ice DIAL@USL-B (Université Saint-Louis, Bruxelles) |
institution |
Open Polar |
collection |
DIAL@USL-B (Université Saint-Louis, Bruxelles) |
op_collection_id |
ftunistlouisbrus |
language |
English |
description |
In order to test data assimilation approaches adapted to paleoclimatology, we conduct experiments with the three-dimensional Earth system model of intermediate complexity LOVECLIM using particle filtering to reconstruct past climate states over the last 150 years. We consider two particle filtering methods: sequential importance resampling and an extremely efficient particle filter. We compare results of the simulations obtained using LOVECLIM only, LOVECLIM constrained by sequential importance resampling, and LOVECLIM constrained by the extremely efficient particle filter. In the last two simulations, surface temperature from a twin experiment is assimilated over southern hemisphere. As a mean of comparison we choose reconstructions of surface temperature, sea ice extent and sea ice concentration in the southern hemisphere. |
format |
Conference Object |
author |
Dubinkina, Svetlana Goosse, Hugues Zunz, Violette Sallaz-Damaz, Yoann |
spellingShingle |
Dubinkina, Svetlana Goosse, Hugues Zunz, Violette Sallaz-Damaz, Yoann Reconstructions of the climate states over last centuries using particle filtering |
author_facet |
Dubinkina, Svetlana Goosse, Hugues Zunz, Violette Sallaz-Damaz, Yoann |
author_sort |
Dubinkina, Svetlana |
title |
Reconstructions of the climate states over last centuries using particle filtering |
title_short |
Reconstructions of the climate states over last centuries using particle filtering |
title_full |
Reconstructions of the climate states over last centuries using particle filtering |
title_fullStr |
Reconstructions of the climate states over last centuries using particle filtering |
title_full_unstemmed |
Reconstructions of the climate states over last centuries using particle filtering |
title_sort |
reconstructions of the climate states over last centuries using particle filtering |
publishDate |
2012 |
url |
http://hdl.handle.net/2078/118817 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
boreal:118817 http://hdl.handle.net/2078/118817 |
_version_ |
1798854380319932416 |