An Ensemble Kalman Filter multi-tracer assimilation: Determining uncertain ocean model parameters for improved climate-carbon cycle projections ...
An Ensemble Kalman Filter is applied to assimilate observed tracer fields in various combinations in the Bern3D ocean model. Each tracer combination yields a set of optimal transport parameter values that are used in projections with prescribed CO2 stabilization pathways. The assimilation of tempera...
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Online Access: | https://dx.doi.org/10.7892/boris.47703 http://boris.unibe.ch/47703/ |
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ftdatacite:10.7892/boris.47703 2024-09-30T14:35:55+00:00 An Ensemble Kalman Filter multi-tracer assimilation: Determining uncertain ocean model parameters for improved climate-carbon cycle projections ... Gerber, Markus Joos, Fortunat 2013 application/pdf https://dx.doi.org/10.7892/boris.47703 http://boris.unibe.ch/47703/ en eng Elsevier info:eu-repo/semantics/restrictedAccess 530 Physics 550 Earth sciences & geology CreativeWork article 2013 ftdatacite https://doi.org/10.7892/boris.47703 2024-09-02T10:00:02Z An Ensemble Kalman Filter is applied to assimilate observed tracer fields in various combinations in the Bern3D ocean model. Each tracer combination yields a set of optimal transport parameter values that are used in projections with prescribed CO2 stabilization pathways. The assimilation of temperature and salinity fields yields a too vigorous ventilation of the thermocline and the deep ocean, whereas the inclusion of CFC-11 and radiocarbon improves the representation of physical and biogeochemical tracers and of ventilation time scales. Projected peak uptake rates and cumulative uptake of CO2 by the ocean are around 20% lower for the parameters determined with CFC-11 and radiocarbon as additional target compared to those with salinity and temperature only. Higher surface temperature changes are simulated in the Greenland–Norwegian–Iceland Sea and in the Southern Ocean when CFC-11 is included in the Ensemble Kalman model tuning. These findings highlights the importance of ocean transport calibration for the ... Article in Journal/Newspaper Greenland Iceland Southern Ocean DataCite Southern Ocean Greenland |
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ftdatacite |
language |
English |
topic |
530 Physics 550 Earth sciences & geology |
spellingShingle |
530 Physics 550 Earth sciences & geology Gerber, Markus Joos, Fortunat An Ensemble Kalman Filter multi-tracer assimilation: Determining uncertain ocean model parameters for improved climate-carbon cycle projections ... |
topic_facet |
530 Physics 550 Earth sciences & geology |
description |
An Ensemble Kalman Filter is applied to assimilate observed tracer fields in various combinations in the Bern3D ocean model. Each tracer combination yields a set of optimal transport parameter values that are used in projections with prescribed CO2 stabilization pathways. The assimilation of temperature and salinity fields yields a too vigorous ventilation of the thermocline and the deep ocean, whereas the inclusion of CFC-11 and radiocarbon improves the representation of physical and biogeochemical tracers and of ventilation time scales. Projected peak uptake rates and cumulative uptake of CO2 by the ocean are around 20% lower for the parameters determined with CFC-11 and radiocarbon as additional target compared to those with salinity and temperature only. Higher surface temperature changes are simulated in the Greenland–Norwegian–Iceland Sea and in the Southern Ocean when CFC-11 is included in the Ensemble Kalman model tuning. These findings highlights the importance of ocean transport calibration for the ... |
format |
Article in Journal/Newspaper |
author |
Gerber, Markus Joos, Fortunat |
author_facet |
Gerber, Markus Joos, Fortunat |
author_sort |
Gerber, Markus |
title |
An Ensemble Kalman Filter multi-tracer assimilation: Determining uncertain ocean model parameters for improved climate-carbon cycle projections ... |
title_short |
An Ensemble Kalman Filter multi-tracer assimilation: Determining uncertain ocean model parameters for improved climate-carbon cycle projections ... |
title_full |
An Ensemble Kalman Filter multi-tracer assimilation: Determining uncertain ocean model parameters for improved climate-carbon cycle projections ... |
title_fullStr |
An Ensemble Kalman Filter multi-tracer assimilation: Determining uncertain ocean model parameters for improved climate-carbon cycle projections ... |
title_full_unstemmed |
An Ensemble Kalman Filter multi-tracer assimilation: Determining uncertain ocean model parameters for improved climate-carbon cycle projections ... |
title_sort |
ensemble kalman filter multi-tracer assimilation: determining uncertain ocean model parameters for improved climate-carbon cycle projections ... |
publisher |
Elsevier |
publishDate |
2013 |
url |
https://dx.doi.org/10.7892/boris.47703 http://boris.unibe.ch/47703/ |
geographic |
Southern Ocean Greenland |
geographic_facet |
Southern Ocean Greenland |
genre |
Greenland Iceland Southern Ocean |
genre_facet |
Greenland Iceland Southern Ocean |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.7892/boris.47703 |
_version_ |
1811639127546789888 |