Historical ocean reanalyses (1900-2010) using different data assimilation strategies

Two historical ocean reanalyses that cover the period from 1900 to 2010 are performed. One ocean reanalysis (CHOR_AS) assimilates both sea‐surface temperature (SST) and vertical profile data with a 3D‐Var assimilation scheme, while the other one (CHOR_RL) assimilates vertical profile data, but is nu...

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Published in:Quarterly Journal of the Royal Meteorological Society
Main Authors: Yang, Chunxue, Masina, Simona, Storto, Andrea
Other Authors: #PLACEHOLDER_PARENT_METADATA_VALUE#, Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia
Format: Article in Journal/Newspaper
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/2122/11749
https://doi.org/10.1002/qj.2936
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spelling ftingv:oai:www.earth-prints.org:2122/11749 2023-05-15T18:18:54+02:00 Historical ocean reanalyses (1900-2010) using different data assimilation strategies Yang, Chunxue Masina, Simona Storto, Andrea #PLACEHOLDER_PARENT_METADATA_VALUE# Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia 2017-01 http://hdl.handle.net/2122/11749 https://doi.org/10.1002/qj.2936 en eng Quarterly Journal of the Royal Meteorological Society /143(2017) http://hdl.handle.net/2122/11749 doi:10.1002/qj.2936 restricted article 2017 ftingv https://doi.org/10.1002/qj.2936 2022-07-29T06:07:31Z Two historical ocean reanalyses that cover the period from 1900 to 2010 are performed. One ocean reanalysis (CHOR_AS) assimilates both sea‐surface temperature (SST) and vertical profile data with a 3D‐Var assimilation scheme, while the other one (CHOR_RL) assimilates vertical profile data, but is nudged to monthly Hadley Centre global sea Ice coverage and SST (HadISST) reconstructed fields. The reanalyses are thus designed to investigate the impact of different strategies for constraining the SST in long‐term assimilation experiments and the feasibility of assimilating subsurface observations in the same kind of experiments. The atmospheric forcing comes from the ensemble mean of the Twentieth‐Century Reanalysis version 2 (20CRv2). Due to biases being particularly large at high latitudes, corrections are applied to the atmospheric forcing, based on the comparison with ECMWF's ERA‐Interim during the overlapped period. In general, these ocean reanalyses capture trends and variability of key ocean parameters. A warm bias of SST in CHOR_AS in the first half of the century leads to incorrect long‐term trends. However, SST anomalies in both CHOR_AS and CHOR_RL are realistically captured. Heat contents at 0–300, 0–700 and 0–2000 m have an increasing trend in both CHOR_RL and CHOR_AS, consistent with available datasets for the second half of the century. In order to reproduce realistic mass transport, mixed‐layer depth and eddy kinetic energy, it is necessary to assimilate vertical profile data, although this leads to some discontinuities in the reanalysis time series. Based on these findings, we suggest ideas for the requirements of future historical ocean reanalyses, such as related to the necessity of applying bias correction and minimizing the effects of the observing network discontinuities. Meanwhile, the comparison between CHOR_RL and CHOR_AS shows that both direct assimilation and the nudging scheme have their advantages and disadvantages. A combination of these two schemes is desirable in future work. ... Article in Journal/Newspaper Sea ice Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) Quarterly Journal of the Royal Meteorological Society 143 702 479 493
institution Open Polar
collection Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia)
op_collection_id ftingv
language English
description Two historical ocean reanalyses that cover the period from 1900 to 2010 are performed. One ocean reanalysis (CHOR_AS) assimilates both sea‐surface temperature (SST) and vertical profile data with a 3D‐Var assimilation scheme, while the other one (CHOR_RL) assimilates vertical profile data, but is nudged to monthly Hadley Centre global sea Ice coverage and SST (HadISST) reconstructed fields. The reanalyses are thus designed to investigate the impact of different strategies for constraining the SST in long‐term assimilation experiments and the feasibility of assimilating subsurface observations in the same kind of experiments. The atmospheric forcing comes from the ensemble mean of the Twentieth‐Century Reanalysis version 2 (20CRv2). Due to biases being particularly large at high latitudes, corrections are applied to the atmospheric forcing, based on the comparison with ECMWF's ERA‐Interim during the overlapped period. In general, these ocean reanalyses capture trends and variability of key ocean parameters. A warm bias of SST in CHOR_AS in the first half of the century leads to incorrect long‐term trends. However, SST anomalies in both CHOR_AS and CHOR_RL are realistically captured. Heat contents at 0–300, 0–700 and 0–2000 m have an increasing trend in both CHOR_RL and CHOR_AS, consistent with available datasets for the second half of the century. In order to reproduce realistic mass transport, mixed‐layer depth and eddy kinetic energy, it is necessary to assimilate vertical profile data, although this leads to some discontinuities in the reanalysis time series. Based on these findings, we suggest ideas for the requirements of future historical ocean reanalyses, such as related to the necessity of applying bias correction and minimizing the effects of the observing network discontinuities. Meanwhile, the comparison between CHOR_RL and CHOR_AS shows that both direct assimilation and the nudging scheme have their advantages and disadvantages. A combination of these two schemes is desirable in future work. ...
author2 #PLACEHOLDER_PARENT_METADATA_VALUE#
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia
format Article in Journal/Newspaper
author Yang, Chunxue
Masina, Simona
Storto, Andrea
spellingShingle Yang, Chunxue
Masina, Simona
Storto, Andrea
Historical ocean reanalyses (1900-2010) using different data assimilation strategies
author_facet Yang, Chunxue
Masina, Simona
Storto, Andrea
author_sort Yang, Chunxue
title Historical ocean reanalyses (1900-2010) using different data assimilation strategies
title_short Historical ocean reanalyses (1900-2010) using different data assimilation strategies
title_full Historical ocean reanalyses (1900-2010) using different data assimilation strategies
title_fullStr Historical ocean reanalyses (1900-2010) using different data assimilation strategies
title_full_unstemmed Historical ocean reanalyses (1900-2010) using different data assimilation strategies
title_sort historical ocean reanalyses (1900-2010) using different data assimilation strategies
publishDate 2017
url http://hdl.handle.net/2122/11749
https://doi.org/10.1002/qj.2936
genre Sea ice
genre_facet Sea ice
op_relation Quarterly Journal of the Royal Meteorological Society
/143(2017)
http://hdl.handle.net/2122/11749
doi:10.1002/qj.2936
op_rights restricted
op_doi https://doi.org/10.1002/qj.2936
container_title Quarterly Journal of the Royal Meteorological Society
container_volume 143
container_issue 702
container_start_page 479
op_container_end_page 493
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