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SynObs flagship OSE/OSSE

Contributing Documents

Please register your paper/document/data/etc related to SynObs through the SynObs literature reporting form

July 2022 ー Jun 2023

  • Ford, D. et al., 2022: A solution for autonomous, adaptive monitoring of coastal ocean ecosystems: Integrating ocean robots and operational forecasts. Frontiers in Marine Science.Front. Front. Mar. Sci. 9:1067174. doi: 10.3389/fmars.2022.1067174

  • Fowler, A., et al., 2023: Validating and improving the uncertainty assumptions for the assimilation of ocean-colour-derived chlorophyll a into a marine biogeochemistry model of the Northwest European Shelf Seas. Quarterly Journal of the Royal Meteorological Society, 149(750), 300-324.

  • Chang I, Kim YH, Jin H, Park Y-G, Pak G and Chang Y-S (2023) Impact of satellite and regional in-situ profile data assimilation on a high-resolution ocean prediction system in the Northwest Pacific. Front. Mar. Sci. 10:1085542. doi: 10.3389/fmars.2023.1085542

  • Gasparin F, Lellouche J-M, Cravatte SE, Ruggiero G, Rohith B, Le Traon PY and Rémy E (2023) On the control of spatial and temporal oceanic scales by existing and future observing systems: An observing system simulation experiment approach.Front. Mar. Sci. 10:1021650. doi: 10.3389/fmars.2023.1021650

  • Fujii, Y., 2023: Introduction of Synergistic Observing Network for Ocean Predictions (synObs), Ocean Newsletter, Ocean Policy Resewarch Institute, Sasagawa Peach Foundation (ISSN 2187-8862), 546,

  • Cucurull, L., D, Menemenlis, D. Du, K. Q. Zhang, S. Akella, E. Remy, K. Wilmer-Becker, S. Masuda, G. Yamanaka, Y. Takaya, and Y. Fujii, 2023: Joint workshop of the OS-Eval TT and CP-TT and SynObs Kick-Off. Workshop Summary. OceanPredict Project Office.

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