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
International audience 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 pote...
Published in: | Frontiers in Marine Science |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2019
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Subjects: | |
Online Access: | https://hal.archives-ouvertes.fr/hal-02973154 https://hal.archives-ouvertes.fr/hal-02973154/document https://hal.archives-ouvertes.fr/hal-02973154/file/Fujii_2019.pdf https://doi.org/10.3389/fmars.2019.00417 |
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Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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language |
English |
topic |
[SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] |
spellingShingle |
[SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] Fujii, Yosuke Rémy, Elisabeth Zuo, Hao Oke, Peter Halliwell, George Gasparin, Florent Benkiran, Mounir Loose, Nora Cummings, James Xie, Jiping Xue, Yan Masuda, Shuhei Smith, Gregory, Balmaseda, Magdalena Germineaud, Cyril Lea, Daniel 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 |
[SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] |
description |
International audience 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 Atlanticin-situnetworks. Potential offuture satellite missions of wide-swath altimetry and surface ocean currents monitoring isexplored through OSSEs and evaluation of Degrees of Freedomfor Signal (DFS). ForecastSensitivity Observation Impacts (FSOI) are routinely evaluated for monitoring the oceanobservation impacts in the US Navy’s ODAP system. Perspectives on the extension ofOS-Eval to coastal regions, the deep ocean, polar regions, coupled data assimilation,and biogeochemical applications are also presented. Basedon the examples above,we identify the limitations of OS-Eval, indicating that themost significant limitation isreduction 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 tomitigate the limitation and to strengthen the impact of evaluations is discussed. Inparticular, we emphasize the importance of collaboration within the ODAP community formulti-system ... |
author2 |
Meteorological Research Institute Tsukuba (MRI) Japan Meteorological Agency (JMA) Mercator Océan Société Civile CNRS Ifremer IRD Météo-France SHOM European Centre for Medium-Range Weather Forecasts (ECMWF) CISRO Oceans and Atmosphere NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) National Oceanic and Atmospheric Administration (NOAA) Oden Institute for Computational Engineering and Sciences University of Texas at Austin Austin Department of Earth Science Bergen (UiB) University of Bergen (UiB) NOAA National Centers for Environmental Prediction (NCEP) Nansen Environmental and Remote Sensing Center Bergen (NERSC) NCEP Climate Prediction Center (CPC) NOAA National Weather Service (NWS) Research Institute for Global Change (RIGC) Japan Agency for Marine-Earth Science and Technology (JAMSTEC) Environment and Climate Change Canada Cooperative Institute for Marine and Atmospheric Studies (CIMAS) Rosenstiel School of Marine and Atmospheric Science (RSMAS) University of Miami Coral Gables -University of Miami Coral Gables Met Office Climate Research Division United Kingdom Met Office Exeter Collecte Localisation Satellites (CLS) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National d'Études Spatiales Toulouse (CNES) Helmholtz-Zentrum Geesthacht (GKSS) Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) Observatoire des Sciences de l'Univers de Grenoble (OSUG ) Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) European Space Research and Technology Centre (ESTEC) European Space Agency (ESA) Ocean Circulation and Climate Research Center Korea Institute of Ocean Science and Technology (KIOST) Department of Ocean Sciences University of Miami Coral Gables |
format |
Article in Journal/Newspaper |
author |
Fujii, Yosuke Rémy, Elisabeth Zuo, Hao Oke, Peter Halliwell, George Gasparin, Florent Benkiran, Mounir Loose, Nora Cummings, James Xie, Jiping Xue, Yan Masuda, Shuhei Smith, Gregory, Balmaseda, Magdalena Germineaud, Cyril Lea, Daniel 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 Rémy, Elisabeth Zuo, Hao Oke, Peter Halliwell, George Gasparin, Florent Benkiran, Mounir Loose, Nora Cummings, James Xie, Jiping Xue, Yan Masuda, Shuhei Smith, Gregory, Balmaseda, Magdalena Germineaud, Cyril Lea, Daniel 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 |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.archives-ouvertes.fr/hal-02973154 https://hal.archives-ouvertes.fr/hal-02973154/document https://hal.archives-ouvertes.fr/hal-02973154/file/Fujii_2019.pdf https://doi.org/10.3389/fmars.2019.00417 |
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ENVELOPE(-55.615,-55.615,49.517,49.517) |
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Triton |
geographic_facet |
Triton |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
ISSN: 2296-7745 Frontiers in Marine Science https://hal.archives-ouvertes.fr/hal-02973154 Frontiers in Marine Science, Frontiers Media, 2019, 6, pp.417:1-26. ⟨10.3389/fmars.2019.00417⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3389/fmars.2019.00417 hal-02973154 https://hal.archives-ouvertes.fr/hal-02973154 https://hal.archives-ouvertes.fr/hal-02973154/document https://hal.archives-ouvertes.fr/hal-02973154/file/Fujii_2019.pdf doi:10.3389/fmars.2019.00417 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3389/fmars.2019.00417 |
container_title |
Frontiers in Marine Science |
container_volume |
6 |
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1766135712373014528 |
spelling |
ftccsdartic:oai:HAL:hal-02973154v1 2023-05-15T17:36:16+02:00 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 Rémy, Elisabeth Zuo, Hao Oke, Peter Halliwell, George Gasparin, Florent Benkiran, Mounir Loose, Nora Cummings, James Xie, Jiping Xue, Yan Masuda, Shuhei Smith, Gregory, Balmaseda, Magdalena Germineaud, Cyril Lea, Daniel 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 Meteorological Research Institute Tsukuba (MRI) Japan Meteorological Agency (JMA) Mercator Océan Société Civile CNRS Ifremer IRD Météo-France SHOM European Centre for Medium-Range Weather Forecasts (ECMWF) CISRO Oceans and Atmosphere NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) National Oceanic and Atmospheric Administration (NOAA) Oden Institute for Computational Engineering and Sciences University of Texas at Austin Austin Department of Earth Science Bergen (UiB) University of Bergen (UiB) NOAA National Centers for Environmental Prediction (NCEP) Nansen Environmental and Remote Sensing Center Bergen (NERSC) NCEP Climate Prediction Center (CPC) NOAA National Weather Service (NWS) Research Institute for Global Change (RIGC) Japan Agency for Marine-Earth Science and Technology (JAMSTEC) Environment and Climate Change Canada Cooperative Institute for Marine and Atmospheric Studies (CIMAS) Rosenstiel School of Marine and Atmospheric Science (RSMAS) University of Miami Coral Gables -University of Miami Coral Gables Met Office Climate Research Division United Kingdom Met Office Exeter Collecte Localisation Satellites (CLS) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National d'Études Spatiales Toulouse (CNES) Helmholtz-Zentrum Geesthacht (GKSS) Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) Observatoire des Sciences de l'Univers de Grenoble (OSUG ) Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) European Space Research and Technology Centre (ESTEC) European Space Agency (ESA) Ocean Circulation and Climate Research Center Korea Institute of Ocean Science and Technology (KIOST) Department of Ocean Sciences University of Miami Coral Gables 2019-07-29 https://hal.archives-ouvertes.fr/hal-02973154 https://hal.archives-ouvertes.fr/hal-02973154/document https://hal.archives-ouvertes.fr/hal-02973154/file/Fujii_2019.pdf https://doi.org/10.3389/fmars.2019.00417 en eng HAL CCSD Frontiers Media info:eu-repo/semantics/altIdentifier/doi/10.3389/fmars.2019.00417 hal-02973154 https://hal.archives-ouvertes.fr/hal-02973154 https://hal.archives-ouvertes.fr/hal-02973154/document https://hal.archives-ouvertes.fr/hal-02973154/file/Fujii_2019.pdf doi:10.3389/fmars.2019.00417 info:eu-repo/semantics/OpenAccess ISSN: 2296-7745 Frontiers in Marine Science https://hal.archives-ouvertes.fr/hal-02973154 Frontiers in Marine Science, Frontiers Media, 2019, 6, pp.417:1-26. ⟨10.3389/fmars.2019.00417⟩ [SDE]Environmental Sciences [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2019 ftccsdartic https://doi.org/10.3389/fmars.2019.00417 2021-11-07T00:41:17Z International audience 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 Atlanticin-situnetworks. Potential offuture satellite missions of wide-swath altimetry and surface ocean currents monitoring isexplored through OSSEs and evaluation of Degrees of Freedomfor Signal (DFS). ForecastSensitivity Observation Impacts (FSOI) are routinely evaluated for monitoring the oceanobservation impacts in the US Navy’s ODAP system. Perspectives on the extension ofOS-Eval to coastal regions, the deep ocean, polar regions, coupled data assimilation,and biogeochemical applications are also presented. Basedon the examples above,we identify the limitations of OS-Eval, indicating that themost significant limitation isreduction 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 tomitigate the limitation and to strengthen the impact of evaluations is discussed. Inparticular, we emphasize the importance of collaboration within the ODAP community formulti-system ... Article in Journal/Newspaper North Atlantic Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Triton ENVELOPE(-55.615,-55.615,49.517,49.517) Frontiers in Marine Science 6 |