The international multi-system OSEs/OSSEs by the UN Ocean Decade Project SynObs and its early results
“Synergistic Observing Network for Ocean Prediction (SynObs)” was launched in 2022 as a project of the United Nations Decade of Ocean Science for Sustainable Development to evaluate the importance of ocean observation systems and co-design the future evolution of the ocean observing network. SynObs...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-10-01
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| Series: | Frontiers in Marine Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2024.1476131/full |
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| author | Yosuke Fujii Yosuke Fujii Elisabeth Remy Magdalena Alonso Balmaseda Shoichiro Kido Jennifer Waters K. Andrew Peterson Gregory C. Smith Ichiro Ishikawa Kamel Chikhar |
| author_facet | Yosuke Fujii Yosuke Fujii Elisabeth Remy Magdalena Alonso Balmaseda Shoichiro Kido Jennifer Waters K. Andrew Peterson Gregory C. Smith Ichiro Ishikawa Kamel Chikhar |
| author_sort | Yosuke Fujii |
| collection | DOAJ |
| description | “Synergistic Observing Network for Ocean Prediction (SynObs)” was launched in 2022 as a project of the United Nations Decade of Ocean Science for Sustainable Development to evaluate the importance of ocean observation systems and co-design the future evolution of the ocean observing network. SynObs is currently leading the flagship OSEs/OSSEs, an internationally coordinated activity in which observing system experiments (OSEs) and observing system simulation experiments (OSSEs) are conducted using a variety of ocean and coupled atmosphere–ocean prediction systems to evaluate ocean observation impacts consistent across most prediction systems. The flagship OSEs/OSSEs comprises the ocean prediction (OP) OSEs for high-resolution ocean predictions, the subseasonal-to-seasonal (S2S) OSEs for long-term lead-time coupled ocean–atmosphere predictions, and the OP OSSEs for evaluating new and future observing systems. SynObs plans to use the results of the flagship OSEs to contribute to the reports on the ocean observing network design made by international organizations and projects. Here, we introduce this initiative, and we report on some initial results. Some observation impacts consistent across four ocean prediction systems are found by a preliminary analysis of the analysis runs for the OP OSEs. For example, impacts of the altimetry data on the assimilated sea surface height (SSH) field are generally large in the westerly boundary current regions and around Antarctic Circumpolar Currents where SSH has large variability but are small in the tropical regions, despite the relatively large SSH variability there. The analysis also indicates the possibility that there are some characteristic differences in the observation impacts between low-resolution and eddy-resolving ocean prediction systems. Although OSE outputs of only four ocean prediction systems are available now, we will make further investigation, adding OSE outputs of other prediction systems that will be submitted in the near future. |
| format | Article |
| id | doaj-art-f82c2d949eb64e28866cecb3bcb24a39 |
| institution | Kabale University |
| issn | 2296-7745 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj-art-f82c2d949eb64e28866cecb3bcb24a392025-01-15T11:59:07ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452024-10-011110.3389/fmars.2024.14761311476131The international multi-system OSEs/OSSEs by the UN Ocean Decade Project SynObs and its early resultsYosuke Fujii0Yosuke Fujii1Elisabeth Remy2Magdalena Alonso Balmaseda3Shoichiro Kido4Jennifer Waters5K. Andrew Peterson6Gregory C. Smith7Ichiro Ishikawa8Kamel Chikhar9Department of Atmosphere, Ocean and Earth System Modeling Research, Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, JapanDepartment of Interdisciplinary Statistical Mathematics,The Institute of Statistical Mathematics, Tachikawa, JapanResearch and Development Department, Mercator Ocean International, Ramonville-Saint-Agne, FranceResearch Department, European Centre for Medium-Range Weather Forecasts, Reading, United KingdomApplication Laboratory, Japan Agency for Marine-Earth Science and Technology, Yokohama, JapanOcean Forecasting Research and Development, Met Office, Exeter, United KingdomEnvironmental Numerical Research Division, Environment and Climate Change Canada, Dorval, QC, CanadaEnvironmental Numerical Research Division, Environment and Climate Change Canada, Dorval, QC, CanadaDepartment of Atmosphere, Ocean and Earth System Modeling Research, Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, JapanMeteorological Service of Canada, Environment and Climate Change Canada, Dorval, QC, Canada“Synergistic Observing Network for Ocean Prediction (SynObs)” was launched in 2022 as a project of the United Nations Decade of Ocean Science for Sustainable Development to evaluate the importance of ocean observation systems and co-design the future evolution of the ocean observing network. SynObs is currently leading the flagship OSEs/OSSEs, an internationally coordinated activity in which observing system experiments (OSEs) and observing system simulation experiments (OSSEs) are conducted using a variety of ocean and coupled atmosphere–ocean prediction systems to evaluate ocean observation impacts consistent across most prediction systems. The flagship OSEs/OSSEs comprises the ocean prediction (OP) OSEs for high-resolution ocean predictions, the subseasonal-to-seasonal (S2S) OSEs for long-term lead-time coupled ocean–atmosphere predictions, and the OP OSSEs for evaluating new and future observing systems. SynObs plans to use the results of the flagship OSEs to contribute to the reports on the ocean observing network design made by international organizations and projects. Here, we introduce this initiative, and we report on some initial results. Some observation impacts consistent across four ocean prediction systems are found by a preliminary analysis of the analysis runs for the OP OSEs. For example, impacts of the altimetry data on the assimilated sea surface height (SSH) field are generally large in the westerly boundary current regions and around Antarctic Circumpolar Currents where SSH has large variability but are small in the tropical regions, despite the relatively large SSH variability there. The analysis also indicates the possibility that there are some characteristic differences in the observation impacts between low-resolution and eddy-resolving ocean prediction systems. Although OSE outputs of only four ocean prediction systems are available now, we will make further investigation, adding OSE outputs of other prediction systems that will be submitted in the near future.https://www.frontiersin.org/articles/10.3389/fmars.2024.1476131/fullocean predictionOSEocean observing networkArgosatellite altimetrydata assimilation |
| spellingShingle | Yosuke Fujii Yosuke Fujii Elisabeth Remy Magdalena Alonso Balmaseda Shoichiro Kido Jennifer Waters K. Andrew Peterson Gregory C. Smith Ichiro Ishikawa Kamel Chikhar The international multi-system OSEs/OSSEs by the UN Ocean Decade Project SynObs and its early results Frontiers in Marine Science ocean prediction OSE ocean observing network Argo satellite altimetry data assimilation |
| title | The international multi-system OSEs/OSSEs by the UN Ocean Decade Project SynObs and its early results |
| title_full | The international multi-system OSEs/OSSEs by the UN Ocean Decade Project SynObs and its early results |
| title_fullStr | The international multi-system OSEs/OSSEs by the UN Ocean Decade Project SynObs and its early results |
| title_full_unstemmed | The international multi-system OSEs/OSSEs by the UN Ocean Decade Project SynObs and its early results |
| title_short | The international multi-system OSEs/OSSEs by the UN Ocean Decade Project SynObs and its early results |
| title_sort | international multi system oses osses by the un ocean decade project synobs and its early results |
| topic | ocean prediction OSE ocean observing network Argo satellite altimetry data assimilation |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2024.1476131/full |
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