THE NEW MET OFFICE GLOBAL OCEAN FORECAST SYSTEM AT 1/12° RESOLUTION
International audience The Met Offi ce has recently upgraded its operational Forecasting Ocean Assimilation Model (FOAM) from an eddy permitting 1/4° tripolar grid (ORCA025) to the eddy resolving 1/12° ORCA12 confi guration. FOAM-ORCA12 uses NEMOv3.6 (GO6 confi guration) coupled to CICE (GSI8.1 conf...
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ftccsdartic:oai:HAL:hal-03339590v2 2023-05-15T18:17:59+02:00 THE NEW MET OFFICE GLOBAL OCEAN FORECAST SYSTEM AT 1/12° RESOLUTION LE NOUVEAU SYSTÈME MONDIAL DE PRÉVISIONS OCÉANIQUES DU MET OFFICE À UNE RÉSOLUTION DE 1/12°. Aguiar, Ana, Waters, Jennifer Price, Martin Inverarity, Gordon Pequignet, Christine Maksymczuk, Jan Smout-Day, Kerry Martin, Matthew Bell, Mike King, Robert While, James Lea, Daniel, Siddorn, John UK Met Office Shom Ifremer EuroGOOS AISBL Brest, France 2021-05-03 https://hal.archives-ouvertes.fr/hal-03339590 https://hal.archives-ouvertes.fr/hal-03339590v2/document https://hal.archives-ouvertes.fr/hal-03339590v2/file/EuroGOOS2021_Extended_Abstract_Aguiar_vf.pdf en eng HAL CCSD hal-03339590 https://hal.archives-ouvertes.fr/hal-03339590 https://hal.archives-ouvertes.fr/hal-03339590v2/document https://hal.archives-ouvertes.fr/hal-03339590v2/file/EuroGOOS2021_Extended_Abstract_Aguiar_vf.pdf info:eu-repo/semantics/OpenAccess Proceedings of the 9th EuroGOOS International conference 9th EuroGOOS International conference https://hal.archives-ouvertes.fr/hal-03339590 9th EuroGOOS International conference, Shom; Ifremer; EuroGOOS AISBL, May 2021, Brest, France https://eurogoos-conference.ifremer.fr/ Ocean model eddy-resolving ORCA12 neighbourhood verification methods [SDE]Environmental Sciences info:eu-repo/semantics/conferenceObject Conference papers 2021 ftccsdartic 2021-10-02T22:25:05Z International audience The Met Offi ce has recently upgraded its operational Forecasting Ocean Assimilation Model (FOAM) from an eddy permitting 1/4° tripolar grid (ORCA025) to the eddy resolving 1/12° ORCA12 confi guration. FOAM-ORCA12 uses NEMOv3.6 (GO6 confi guration) coupled to CICE (GSI8.1 confi guration) for the ocean and sea-ice components, respectively. It assimilates observations of sea surface temperature (SST), temperature and salinity profi les, altimeter sea level anomaly and sea ice concentration, via NEMOVAR which is a multivariate incremental 3DVar scheme that runs over a 1-day time window. Qualitatively FOAM-ORCA12 better represents the details of mesoscale features in SST and surface currents. Traditional statistical verifi cation methods suggest that the new system performs similarly or slightly worse than the equivalent 1/4° system. However, it is known that comparisons of models running at different resolutions suffer from a double penalty effect, whereby higher-resolution models are penalised more than lower-resolution models for features that are offset in time and space. Results are shown from neighbourhood verifi cation methods which use common spatial scales for a fairer comparison between confi gurations of different resolutions, applied to SST. We show that, as neighbourhood sizes increase, ORCA12 consistently has lower Continuous Ranked Probability Scores than ORCA025. Conference Object Sea ice Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
Ocean model eddy-resolving ORCA12 neighbourhood verification methods [SDE]Environmental Sciences |
spellingShingle |
Ocean model eddy-resolving ORCA12 neighbourhood verification methods [SDE]Environmental Sciences Aguiar, Ana, Waters, Jennifer Price, Martin Inverarity, Gordon Pequignet, Christine Maksymczuk, Jan Smout-Day, Kerry Martin, Matthew Bell, Mike King, Robert While, James Lea, Daniel, Siddorn, John THE NEW MET OFFICE GLOBAL OCEAN FORECAST SYSTEM AT 1/12° RESOLUTION |
topic_facet |
Ocean model eddy-resolving ORCA12 neighbourhood verification methods [SDE]Environmental Sciences |
description |
International audience The Met Offi ce has recently upgraded its operational Forecasting Ocean Assimilation Model (FOAM) from an eddy permitting 1/4° tripolar grid (ORCA025) to the eddy resolving 1/12° ORCA12 confi guration. FOAM-ORCA12 uses NEMOv3.6 (GO6 confi guration) coupled to CICE (GSI8.1 confi guration) for the ocean and sea-ice components, respectively. It assimilates observations of sea surface temperature (SST), temperature and salinity profi les, altimeter sea level anomaly and sea ice concentration, via NEMOVAR which is a multivariate incremental 3DVar scheme that runs over a 1-day time window. Qualitatively FOAM-ORCA12 better represents the details of mesoscale features in SST and surface currents. Traditional statistical verifi cation methods suggest that the new system performs similarly or slightly worse than the equivalent 1/4° system. However, it is known that comparisons of models running at different resolutions suffer from a double penalty effect, whereby higher-resolution models are penalised more than lower-resolution models for features that are offset in time and space. Results are shown from neighbourhood verifi cation methods which use common spatial scales for a fairer comparison between confi gurations of different resolutions, applied to SST. We show that, as neighbourhood sizes increase, ORCA12 consistently has lower Continuous Ranked Probability Scores than ORCA025. |
author2 |
UK Met Office Shom Ifremer EuroGOOS AISBL |
format |
Conference Object |
author |
Aguiar, Ana, Waters, Jennifer Price, Martin Inverarity, Gordon Pequignet, Christine Maksymczuk, Jan Smout-Day, Kerry Martin, Matthew Bell, Mike King, Robert While, James Lea, Daniel, Siddorn, John |
author_facet |
Aguiar, Ana, Waters, Jennifer Price, Martin Inverarity, Gordon Pequignet, Christine Maksymczuk, Jan Smout-Day, Kerry Martin, Matthew Bell, Mike King, Robert While, James Lea, Daniel, Siddorn, John |
author_sort |
Aguiar, Ana, |
title |
THE NEW MET OFFICE GLOBAL OCEAN FORECAST SYSTEM AT 1/12° RESOLUTION |
title_short |
THE NEW MET OFFICE GLOBAL OCEAN FORECAST SYSTEM AT 1/12° RESOLUTION |
title_full |
THE NEW MET OFFICE GLOBAL OCEAN FORECAST SYSTEM AT 1/12° RESOLUTION |
title_fullStr |
THE NEW MET OFFICE GLOBAL OCEAN FORECAST SYSTEM AT 1/12° RESOLUTION |
title_full_unstemmed |
THE NEW MET OFFICE GLOBAL OCEAN FORECAST SYSTEM AT 1/12° RESOLUTION |
title_sort |
new met office global ocean forecast system at 1/12° resolution |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.archives-ouvertes.fr/hal-03339590 https://hal.archives-ouvertes.fr/hal-03339590v2/document https://hal.archives-ouvertes.fr/hal-03339590v2/file/EuroGOOS2021_Extended_Abstract_Aguiar_vf.pdf |
op_coverage |
Brest, France |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Proceedings of the 9th EuroGOOS International conference 9th EuroGOOS International conference https://hal.archives-ouvertes.fr/hal-03339590 9th EuroGOOS International conference, Shom; Ifremer; EuroGOOS AISBL, May 2021, Brest, France https://eurogoos-conference.ifremer.fr/ |
op_relation |
hal-03339590 https://hal.archives-ouvertes.fr/hal-03339590 https://hal.archives-ouvertes.fr/hal-03339590v2/document https://hal.archives-ouvertes.fr/hal-03339590v2/file/EuroGOOS2021_Extended_Abstract_Aguiar_vf.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1766193842078351360 |