Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation Experiments
A coordinated effort, based on observing system simulation experiments (OSSEs), has been carried out by four European ocean forecasting centers for the first time, in order to provide insights on the present and future design of the in situ Atlantic Ocean observing system from a monitoring and forec...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2019-03-01
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Series: | Frontiers in Marine Science |
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Online Access: | https://www.frontiersin.org/article/10.3389/fmars.2019.00083/full |
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author | Florent Gasparin Stephanie Guinehut Chongyuan Mao Isabelle Mirouze Isabelle Mirouze Elisabeth Rémy Robert R. King Mathieu Hamon Rebecca Reid Andrea Storto Andrea Storto Pierre-Yves Le Traon Pierre-Yves Le Traon Matthew J. Martin Simona Masina |
author_facet | Florent Gasparin Stephanie Guinehut Chongyuan Mao Isabelle Mirouze Isabelle Mirouze Elisabeth Rémy Robert R. King Mathieu Hamon Rebecca Reid Andrea Storto Andrea Storto Pierre-Yves Le Traon Pierre-Yves Le Traon Matthew J. Martin Simona Masina |
author_sort | Florent Gasparin |
collection | DOAJ |
description | A coordinated effort, based on observing system simulation experiments (OSSEs), has been carried out by four European ocean forecasting centers for the first time, in order to provide insights on the present and future design of the in situ Atlantic Ocean observing system from a monitoring and forecasting perspective. This multi-system approach is based on assimilating synthetic data sets, obtained by sub-sampling in space and time using an eddy-resolving unconstrained simulation, named the Nature Run. To assess the ability of a given Atlantic Ocean observing system to constrain the ocean model state, a set of assimilating experiments were performed using four global eddy-permitting systems. For each set of experiments, different designs of the in situ observing system were assimilated, such as implementing a global drifter array equipped with a thermistor chain down to 150 m depth or extending a part of the global Argo array in the deep ocean. While results from the four systems show similarities and differences, the comparison of the experiments with the Nature Run, generally demonstrates a positive impact of the different extra observation networks on the temperature and salinity fields. The spread of the multi-system simulations, combined with the sensitivity of each system to the evaluated observing networks, allowed us to discuss the robustness of the results and their dependence on the specific analysis system. By helping define and test future observing systems from an integrated observing system view, the present work is an initial step toward better-coordinated initiatives supporting the evolution of the ocean observing system and its integration within ocean monitoring and forecasting systems. |
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institution | Directory Open Access Journal |
issn | 2296-7745 |
language | English |
last_indexed | 2024-12-21T22:46:29Z |
publishDate | 2019-03-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Marine Science |
spelling | doaj.art-ce696ee9a8874c8b82a7e0b2cd8f3fdb2022-12-21T18:47:42ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452019-03-01610.3389/fmars.2019.00083431698Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation ExperimentsFlorent Gasparin0Stephanie Guinehut1Chongyuan Mao2Isabelle Mirouze3Isabelle Mirouze4Elisabeth Rémy5Robert R. King6Mathieu Hamon7Rebecca Reid8Andrea Storto9Andrea Storto10Pierre-Yves Le Traon11Pierre-Yves Le Traon12Matthew J. Martin13Simona Masina14Mercator Océan International, Ramonville-Saint-Agne, FranceCollecte Localisation Satellites (CLS), Ramonville-Saint-Agne, FranceMet Office, Exeter, United KingdomFondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Bologna, ItalyCentre Européen de Recherche et de Formation Avancée en Calcul Scientifique, Toulouse, FranceMercator Océan International, Ramonville-Saint-Agne, FranceMet Office, Exeter, United KingdomMercator Océan International, Ramonville-Saint-Agne, FranceMet Office, Exeter, United KingdomFondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Bologna, ItalyNATO Centre for Maritime Research and Experimentation, La Spezia, ItalyMercator Océan International, Ramonville-Saint-Agne, FranceInstitut Français de Recherche pour l’Exploitation de la Mer (Ifremer), Plouzané, FranceMet Office, Exeter, United KingdomFondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Bologna, ItalyA coordinated effort, based on observing system simulation experiments (OSSEs), has been carried out by four European ocean forecasting centers for the first time, in order to provide insights on the present and future design of the in situ Atlantic Ocean observing system from a monitoring and forecasting perspective. This multi-system approach is based on assimilating synthetic data sets, obtained by sub-sampling in space and time using an eddy-resolving unconstrained simulation, named the Nature Run. To assess the ability of a given Atlantic Ocean observing system to constrain the ocean model state, a set of assimilating experiments were performed using four global eddy-permitting systems. For each set of experiments, different designs of the in situ observing system were assimilated, such as implementing a global drifter array equipped with a thermistor chain down to 150 m depth or extending a part of the global Argo array in the deep ocean. While results from the four systems show similarities and differences, the comparison of the experiments with the Nature Run, generally demonstrates a positive impact of the different extra observation networks on the temperature and salinity fields. The spread of the multi-system simulations, combined with the sensitivity of each system to the evaluated observing networks, allowed us to discuss the robustness of the results and their dependence on the specific analysis system. By helping define and test future observing systems from an integrated observing system view, the present work is an initial step toward better-coordinated initiatives supporting the evolution of the ocean observing system and its integration within ocean monitoring and forecasting systems.https://www.frontiersin.org/article/10.3389/fmars.2019.00083/fullobserving system simulation experimentH2020 AtlantOS projectArgo floatdeep observationsdrifterglobal monitoring and forecasting systems |
spellingShingle | Florent Gasparin Stephanie Guinehut Chongyuan Mao Isabelle Mirouze Isabelle Mirouze Elisabeth Rémy Robert R. King Mathieu Hamon Rebecca Reid Andrea Storto Andrea Storto Pierre-Yves Le Traon Pierre-Yves Le Traon Matthew J. Martin Simona Masina Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation Experiments Frontiers in Marine Science observing system simulation experiment H2020 AtlantOS project Argo float deep observations drifter global monitoring and forecasting systems |
title | Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation Experiments |
title_full | Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation Experiments |
title_fullStr | Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation Experiments |
title_full_unstemmed | Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation Experiments |
title_short | Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation Experiments |
title_sort | requirements for an integrated in situ atlantic ocean observing system from coordinated observing system simulation experiments |
topic | observing system simulation experiment H2020 AtlantOS project Argo float deep observations drifter global monitoring and forecasting systems |
url | https://www.frontiersin.org/article/10.3389/fmars.2019.00083/full |
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