An assessment of particle filtering methods and nudging for climate state reconstructions
Using the climate model of intermediate complexity LOVECLIM in an idealized framework, we assess three data-assimilation methods for reconstructing the climate state. The methods are a nudging, a particle filter with sequential importance resampling, and a nudging proposal particle filter, and the t...
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ftunistlouisbrus:oai:dial.uclouvain.be:boreal:127728 2024-05-12T08:10:54+00:00 An assessment of particle filtering methods and nudging for climate state reconstructions Dubinkina, Svetlana Goosse, Hugues UCL - SST/ELI/ELIC - Earth & Climate 2013 http://hdl.handle.net/2078.1/127728 eng eng Copernicus GmbH boreal:127728 http://hdl.handle.net/2078.1/127728 urn:ISSN:1814-9324 urn:EISSN:1814-9332 info:eu-repo/semantics/restrictedAccess Climate of the Past, (2013) info:eu-repo/semantics/article 2013 ftunistlouisbrus 2024-04-18T18:01:20Z Using the climate model of intermediate complexity LOVECLIM in an idealized framework, we assess three data-assimilation methods for reconstructing the climate state. The methods are a nudging, a particle filter with sequential importance resampling, and a nudging proposal particle filter, and the test case corresponds to the climate of the high latitudes of the Southern Hemisphere during the past 150 years. The data-assimilation methods constrain the model by pseudo-observations of surface air temperature anomalies obtained from the same model but different initial conditions. All three data-assimilation methods provide with good estimations of surface air temperature and of sea ice concentration, with the nudging proposal particle filter obtaining the highest correlations with the pseudo-observations. When reconstructing variables that are not directly linked to the pseudo-observations such as atmospheric circulation and sea surface salinity, the particle filters have equivalent performance and their correlations are smaller than for surface air temperature reconstructions but still satisfactory for many applications. The nudging, on the contrary, obtains sea surface salinity patterns that are opposite to the pseudo-observations, which is due to a spurious impact of the nudging on vertical exchanges in the ocean. Article in Journal/Newspaper 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 |
Using the climate model of intermediate complexity LOVECLIM in an idealized framework, we assess three data-assimilation methods for reconstructing the climate state. The methods are a nudging, a particle filter with sequential importance resampling, and a nudging proposal particle filter, and the test case corresponds to the climate of the high latitudes of the Southern Hemisphere during the past 150 years. The data-assimilation methods constrain the model by pseudo-observations of surface air temperature anomalies obtained from the same model but different initial conditions. All three data-assimilation methods provide with good estimations of surface air temperature and of sea ice concentration, with the nudging proposal particle filter obtaining the highest correlations with the pseudo-observations. When reconstructing variables that are not directly linked to the pseudo-observations such as atmospheric circulation and sea surface salinity, the particle filters have equivalent performance and their correlations are smaller than for surface air temperature reconstructions but still satisfactory for many applications. The nudging, on the contrary, obtains sea surface salinity patterns that are opposite to the pseudo-observations, which is due to a spurious impact of the nudging on vertical exchanges in the ocean. |
author2 |
UCL - SST/ELI/ELIC - Earth & Climate |
format |
Article in Journal/Newspaper |
author |
Dubinkina, Svetlana Goosse, Hugues |
spellingShingle |
Dubinkina, Svetlana Goosse, Hugues An assessment of particle filtering methods and nudging for climate state reconstructions |
author_facet |
Dubinkina, Svetlana Goosse, Hugues |
author_sort |
Dubinkina, Svetlana |
title |
An assessment of particle filtering methods and nudging for climate state reconstructions |
title_short |
An assessment of particle filtering methods and nudging for climate state reconstructions |
title_full |
An assessment of particle filtering methods and nudging for climate state reconstructions |
title_fullStr |
An assessment of particle filtering methods and nudging for climate state reconstructions |
title_full_unstemmed |
An assessment of particle filtering methods and nudging for climate state reconstructions |
title_sort |
assessment of particle filtering methods and nudging for climate state reconstructions |
publisher |
Copernicus GmbH |
publishDate |
2013 |
url |
http://hdl.handle.net/2078.1/127728 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Climate of the Past, (2013) |
op_relation |
boreal:127728 http://hdl.handle.net/2078.1/127728 urn:ISSN:1814-9324 urn:EISSN:1814-9332 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
_version_ |
1798854442532995072 |