Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks
This paper summarizes recent efforts on Observing System Evaluation (OS-Eval) by the Ocean Data Assimilation and Prediction (ODAP) communities such as GODAE OceanView and CLIVAR-GSOP. It provides some examples of existing OS-Eval methodologies, and attempts to discuss the potential and limitation of...
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Online Access: | https://archimer.ifremer.fr/doc/00878/98982/108747.pdf https://doi.org/10.3389/fmars.2019.00417 https://archimer.ifremer.fr/doc/00878/98982/ |
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ftarchimer:oai:archimer.ifremer.fr:98982 2024-03-24T09:03:56+00:00 Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks Fujii, Yosuke Remy, Elisabeth Zuo, Hao Oke, Peter Halliwell, George Gasparin, Florent Benkiran, Mounir Loose, Nora Cummings, James Xie, Jiping Xue, Yan Masuda, Shuhei Smith, Gregory C. Balmaseda, Magdalena Germineaud, Cyril Lea, Daniel J. Larnicol, Gilles Bertino, Laurent Bonaduce, Antonio Brasseur, Pierre Donlon, Craig Heimbach, Patrick Kim, Youngho Kourafalou, Villy Le Traon, Pierre-yves Martin, Matthew Paturi, Shastri Tranchant, Benoit Usui, Norihisa 2019-07 application/pdf https://archimer.ifremer.fr/doc/00878/98982/108747.pdf https://doi.org/10.3389/fmars.2019.00417 https://archimer.ifremer.fr/doc/00878/98982/ eng eng Frontiers Media Sa info:eu-repo/grantAgreement/EC/FP7/633211/EU//AtlantOS https://archimer.ifremer.fr/doc/00878/98982/108747.pdf doi:10.3389/fmars.2019.00417 https://archimer.ifremer.fr/doc/00878/98982/ info:eu-repo/semantics/openAccess restricted use Frontiers In Marine Science (2296-7745) (Frontiers Media Sa), 2019-07 , Vol. 6 , P. 417 (25p.) observing system evaluation ocean data assimilation ocean prediction OSSE (observing system simulation experiment) OSE (observing system experiment) GODAE OceanView OceanPredict CLIVAR-GSOP text Article info:eu-repo/semantics/article 2019 ftarchimer https://doi.org/10.3389/fmars.2019.00417 2024-02-27T08:55:35Z This paper summarizes recent efforts on Observing System Evaluation (OS-Eval) by the Ocean Data Assimilation and Prediction (ODAP) communities such as GODAE OceanView and CLIVAR-GSOP. It provides some examples of existing OS-Eval methodologies, and attempts to discuss the potential and limitation of the existing approaches. Observing System Experiment (OSE) studies illustrate the impacts of the severe decrease in the number of TAO buoys during 2012-2014 and TRITON buoys since 2013 on ODAP system performance. Multi-system evaluation of the impacts of assimilating satellite sea surface salinity data based on OSEs has been performed to demonstrate the need to continue and enhance satellite salinity missions. Impacts of underwater gliders have been assessed using Observing System Simulation Experiments (OSSEs) to provide guidance on the effective coordination of the western North Atlantic observing system elements. OSSEs are also being performed under H2020 AtlantOS project with the goal to enhance and optimize the Atlantic in-situ networks. Potential of future satellite missions of wide-swath altimetry and surface ocean currents monitoring is explored through OSSEs and evaluation of Degrees of Freedomfor Signal (DFS). Forecast Sensitivity Observation Impacts (FSOI) are routinely evaluated for monitoring the ocean observation impacts in the US Navy's ODAP system. Perspectives on the extension of OS-Eval to coastal regions, the deep ocean, polar regions, coupled data assimilation, and biogeochemical applications are also presented. Based on the examples above, we identify the limitations of OS-Eval, indicating that the most significant limitation is reduction of robustness and reliability of the results due to their system-dependency. The difficulty of performing evaluation in near real time is also critical. A strategy to mitigate the limitation and to strengthen the impact of evaluations is discussed. In particular, we emphasize the importance of collaboration within the ODAP community for multi-system evaluation ... Article in Journal/Newspaper North Atlantic Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) Triton ENVELOPE(-55.615,-55.615,49.517,49.517) Frontiers in Marine Science 6 |
institution |
Open Polar |
collection |
Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) |
op_collection_id |
ftarchimer |
language |
English |
topic |
observing system evaluation ocean data assimilation ocean prediction OSSE (observing system simulation experiment) OSE (observing system experiment) GODAE OceanView OceanPredict CLIVAR-GSOP |
spellingShingle |
observing system evaluation ocean data assimilation ocean prediction OSSE (observing system simulation experiment) OSE (observing system experiment) GODAE OceanView OceanPredict CLIVAR-GSOP Fujii, Yosuke Remy, Elisabeth Zuo, Hao Oke, Peter Halliwell, George Gasparin, Florent Benkiran, Mounir Loose, Nora Cummings, James Xie, Jiping Xue, Yan Masuda, Shuhei Smith, Gregory C. Balmaseda, Magdalena Germineaud, Cyril Lea, Daniel J. Larnicol, Gilles Bertino, Laurent Bonaduce, Antonio Brasseur, Pierre Donlon, Craig Heimbach, Patrick Kim, Youngho Kourafalou, Villy Le Traon, Pierre-yves Martin, Matthew Paturi, Shastri Tranchant, Benoit Usui, Norihisa Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks |
topic_facet |
observing system evaluation ocean data assimilation ocean prediction OSSE (observing system simulation experiment) OSE (observing system experiment) GODAE OceanView OceanPredict CLIVAR-GSOP |
description |
This paper summarizes recent efforts on Observing System Evaluation (OS-Eval) by the Ocean Data Assimilation and Prediction (ODAP) communities such as GODAE OceanView and CLIVAR-GSOP. It provides some examples of existing OS-Eval methodologies, and attempts to discuss the potential and limitation of the existing approaches. Observing System Experiment (OSE) studies illustrate the impacts of the severe decrease in the number of TAO buoys during 2012-2014 and TRITON buoys since 2013 on ODAP system performance. Multi-system evaluation of the impacts of assimilating satellite sea surface salinity data based on OSEs has been performed to demonstrate the need to continue and enhance satellite salinity missions. Impacts of underwater gliders have been assessed using Observing System Simulation Experiments (OSSEs) to provide guidance on the effective coordination of the western North Atlantic observing system elements. OSSEs are also being performed under H2020 AtlantOS project with the goal to enhance and optimize the Atlantic in-situ networks. Potential of future satellite missions of wide-swath altimetry and surface ocean currents monitoring is explored through OSSEs and evaluation of Degrees of Freedomfor Signal (DFS). Forecast Sensitivity Observation Impacts (FSOI) are routinely evaluated for monitoring the ocean observation impacts in the US Navy's ODAP system. Perspectives on the extension of OS-Eval to coastal regions, the deep ocean, polar regions, coupled data assimilation, and biogeochemical applications are also presented. Based on the examples above, we identify the limitations of OS-Eval, indicating that the most significant limitation is reduction of robustness and reliability of the results due to their system-dependency. The difficulty of performing evaluation in near real time is also critical. A strategy to mitigate the limitation and to strengthen the impact of evaluations is discussed. In particular, we emphasize the importance of collaboration within the ODAP community for multi-system evaluation ... |
format |
Article in Journal/Newspaper |
author |
Fujii, Yosuke Remy, Elisabeth Zuo, Hao Oke, Peter Halliwell, George Gasparin, Florent Benkiran, Mounir Loose, Nora Cummings, James Xie, Jiping Xue, Yan Masuda, Shuhei Smith, Gregory C. Balmaseda, Magdalena Germineaud, Cyril Lea, Daniel J. Larnicol, Gilles Bertino, Laurent Bonaduce, Antonio Brasseur, Pierre Donlon, Craig Heimbach, Patrick Kim, Youngho Kourafalou, Villy Le Traon, Pierre-yves Martin, Matthew Paturi, Shastri Tranchant, Benoit Usui, Norihisa |
author_facet |
Fujii, Yosuke Remy, Elisabeth Zuo, Hao Oke, Peter Halliwell, George Gasparin, Florent Benkiran, Mounir Loose, Nora Cummings, James Xie, Jiping Xue, Yan Masuda, Shuhei Smith, Gregory C. Balmaseda, Magdalena Germineaud, Cyril Lea, Daniel J. Larnicol, Gilles Bertino, Laurent Bonaduce, Antonio Brasseur, Pierre Donlon, Craig Heimbach, Patrick Kim, Youngho Kourafalou, Villy Le Traon, Pierre-yves Martin, Matthew Paturi, Shastri Tranchant, Benoit Usui, Norihisa |
author_sort |
Fujii, Yosuke |
title |
Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks |
title_short |
Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks |
title_full |
Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks |
title_fullStr |
Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks |
title_full_unstemmed |
Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks |
title_sort |
observing system evaluation based on ocean data assimilation and prediction systems: on-going challenges and a future vision for designing and supporting ocean observational networks |
publisher |
Frontiers Media Sa |
publishDate |
2019 |
url |
https://archimer.ifremer.fr/doc/00878/98982/108747.pdf https://doi.org/10.3389/fmars.2019.00417 https://archimer.ifremer.fr/doc/00878/98982/ |
long_lat |
ENVELOPE(-55.615,-55.615,49.517,49.517) |
geographic |
Triton |
geographic_facet |
Triton |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Frontiers In Marine Science (2296-7745) (Frontiers Media Sa), 2019-07 , Vol. 6 , P. 417 (25p.) |
op_relation |
info:eu-repo/grantAgreement/EC/FP7/633211/EU//AtlantOS https://archimer.ifremer.fr/doc/00878/98982/108747.pdf doi:10.3389/fmars.2019.00417 https://archimer.ifremer.fr/doc/00878/98982/ |
op_rights |
info:eu-repo/semantics/openAccess restricted use |
op_doi |
https://doi.org/10.3389/fmars.2019.00417 |
container_title |
Frontiers in Marine Science |
container_volume |
6 |
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1794404948605140992 |