Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and future vision for designing/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, Rémy, Elisabeth, Hao, Zuo, 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, Donion, 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 2020
Subjects:
Online Access:https://hdl.handle.net/1956/21986
https://doi.org/10.3389/fmars.2019.00417
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spelling ftunivbergen:oai:bora.uib.no:1956/21986 2023-05-15T17:35:46+02:00 Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and future vision for designing/supporting ocean observational networks Fujii, Yosuke Rémy, Elisabeth Hao, Zuo 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 Donion, Craig Heimbach, Patrick Kim, YoungHo Kourafalou, Villy Le Traon, Pierre-Yves Martin, Matthew Paturi, Shastri Tranchant, Benoit Usui, Norihisa 2020-02-18T15:11:25Z application/pdf https://hdl.handle.net/1956/21986 https://doi.org/10.3389/fmars.2019.00417 eng eng Frontiers urn:issn:2296-7745 https://hdl.handle.net/1956/21986 https://doi.org/10.3389/fmars.2019.00417 cristin:1713682 Attribution CC BY http://creativecommons.org/licenses/by/4.0/ Copyright 2019 The Author(s) Frontiers in Marine Science Peer reviewed Journal article 2020 ftunivbergen https://doi.org/10.3389/fmars.2019.00417 2023-03-14T17:41:30Z 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 Freedom for 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 University of Bergen: Bergen Open Research Archive (BORA-UiB) Triton ENVELOPE(-55.615,-55.615,49.517,49.517) Frontiers in Marine Science 6
institution Open Polar
collection University of Bergen: Bergen Open Research Archive (BORA-UiB)
op_collection_id ftunivbergen
language English
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 Freedom for 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
Rémy, Elisabeth
Hao, Zuo
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
Donion, Craig
Heimbach, Patrick
Kim, YoungHo
Kourafalou, Villy
Le Traon, Pierre-Yves
Martin, Matthew
Paturi, Shastri
Tranchant, Benoit
Usui, Norihisa
spellingShingle Fujii, Yosuke
Rémy, Elisabeth
Hao, Zuo
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
Donion, 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 future vision for designing/supporting ocean observational networks
author_facet Fujii, Yosuke
Rémy, Elisabeth
Hao, Zuo
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
Donion, 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 future vision for designing/supporting ocean observational networks
title_short Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and future vision for designing/supporting ocean observational networks
title_full Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and future vision for designing/supporting ocean observational networks
title_fullStr Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and future vision for designing/supporting ocean observational networks
title_full_unstemmed Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and future vision for designing/supporting ocean observational networks
title_sort observing system evaluation based on ocean data assimilation and prediction systems: on-going challenges and future vision for designing/supporting ocean observational networks
publisher Frontiers
publishDate 2020
url https://hdl.handle.net/1956/21986
https://doi.org/10.3389/fmars.2019.00417
long_lat ENVELOPE(-55.615,-55.615,49.517,49.517)
geographic Triton
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genre North Atlantic
genre_facet North Atlantic
op_source Frontiers in Marine Science
op_relation urn:issn:2296-7745
https://hdl.handle.net/1956/21986
https://doi.org/10.3389/fmars.2019.00417
cristin:1713682
op_rights Attribution CC BY
http://creativecommons.org/licenses/by/4.0/
Copyright 2019 The Author(s)
op_doi https://doi.org/10.3389/fmars.2019.00417
container_title Frontiers in Marine Science
container_volume 6
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