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://boris.unibe.ch/47703/1/1-s2.0-S1463500312001898-main.pdf https://boris.unibe.ch/47703/ |
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ftunivbern:oai:boris.unibe.ch:47703 2023-08-20T04:06:55+02:00 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://boris.unibe.ch/47703/1/1-s2.0-S1463500312001898-main.pdf https://boris.unibe.ch/47703/ eng eng Elsevier https://boris.unibe.ch/47703/ info:eu-repo/semantics/restrictedAccess Gerber, Markus; Joos, Fortunat (2013). An Ensemble Kalman Filter multi-tracer assimilation: Determining uncertain ocean model parameters for improved climate-carbon cycle projections. Ocean Modelling, 64, pp. 29-45. Elsevier 10.1016/j.ocemod.2012.12.012 <http://dx.doi.org/10.1016/j.ocemod.2012.12.012> 530 Physics 550 Earth sciences & geology info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion PeerReviewed 2013 ftunivbern https://doi.org/10.1016/j.ocemod.2012.12.012 2023-07-31T21:05:56Z 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 design of near-term and long-term CO2 emission mitigation strategies and for climate projections. Article in Journal/Newspaper Greenland Iceland Southern Ocean BORIS (Bern Open Repository and Information System, University of Bern) Greenland Southern Ocean Ocean Modelling 64 29 45 |
institution |
Open Polar |
collection |
BORIS (Bern Open Repository and Information System, University of Bern) |
op_collection_id |
ftunivbern |
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 design of near-term and long-term CO2 emission mitigation strategies and for climate projections. |
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://boris.unibe.ch/47703/1/1-s2.0-S1463500312001898-main.pdf https://boris.unibe.ch/47703/ |
geographic |
Greenland Southern Ocean |
geographic_facet |
Greenland Southern Ocean |
genre |
Greenland Iceland Southern Ocean |
genre_facet |
Greenland Iceland Southern Ocean |
op_source |
Gerber, Markus; Joos, Fortunat (2013). An Ensemble Kalman Filter multi-tracer assimilation: Determining uncertain ocean model parameters for improved climate-carbon cycle projections. Ocean Modelling, 64, pp. 29-45. Elsevier 10.1016/j.ocemod.2012.12.012 <http://dx.doi.org/10.1016/j.ocemod.2012.12.012> |
op_relation |
https://boris.unibe.ch/47703/ |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1016/j.ocemod.2012.12.012 |
container_title |
Ocean Modelling |
container_volume |
64 |
container_start_page |
29 |
op_container_end_page |
45 |
_version_ |
1774718296137924608 |