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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Published in:Frontiers in Marine Science
Main Authors: 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
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media Sa 2019
Subjects:
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/
id ftarchimer:oai:archimer.ifremer.fr:98982
record_format openpolar
spelling 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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