SynObsについて 最近の活動 SynObs協力機関 ドキュメント English WebPgae
SynObs フラッグシップ OSEの指針(Ver. 1.0)
SynObsキックオフ・ワークショップ
ワークショップ概要
Frontiers in Marine Science SynObs 特集号のページ
Paul. B., B. Baduru, and A. Paul (2024): A study of forecast sensitivity to observations in the Bay of Bengal using LETKF. Frontiers in Marine Science, 11.
Kerry, C., M. Roughan, and J. M. A. C. de Souza (2024): Assessing the impact of subsurface temperature observations from fishing vessels on temperature and heat content estimates in shelf seas: a New Zealand case study using Observing System Simulation Experiments. Frontiers in Marine Science, 11.
Waters J., M. J. Martin, M. J. Bell, R. King, L. Gaultier, C. Ubelmann, and C. Donlon (2024): Assessing the potential impact of assimilating total surface current velocities in the Met Office's global ocean forecasting system. Frontiers in Marine Science, 11.
Smith, G. C., C. Hébert-Pinard, A.-A. Gauthier, F. Roy, K. A. Peterson, P. Veillard, Y. Faugère, S. Mulet, and M. M. Maqueda (2024): Impact of Assimilation of Absolute Dynamic Topography on Arctic Ocean Circulation. Frontiers in Marine Science, 11.
Gasparin, F., Lellouche, J. M., Cravatte, S. E., Ruggiero, G., Rohith, B., Le Traon, P. Y., & Remy, E. (2023). On the control of spatial and temporal oceanic scales by existing and future observing systems: An observing system simulation experiment approach. Frontiers in Marine Science, 10, 1021650.
Hackert, E., S. Akella, L. Ren, K. Nakada, J. A. Carton, and A. Molod (2023), Impact of the TAO/TRITON Array on Reanalyses and Predictions of the 2015 El Niño, Journal of Geophysical Research: Oceans, 128(11), e2023JC020039,
Du, D., Subramanian, A.C., Han, W., Wei, H.H., Sarojini, B.B., Balmaseda, M. and Vitart, F., 2023. Assessing the Impact of Ocean In Situ Observations on MJO Propagation Across the Maritime Continent in ECMWF Subseasonal Forecasts. Journal of Advances in Modeling Earth Systems, 15(2), p.e2022MS003044.
Fujii et al., 2023: SynObs Flagship OSEs Guideline Version 1, published from the OceanPredict website, 25pp. SynObs_FlagshipOSE_Guideline_Ver1.pdf (oceanpredict.org)
https://oceanpredict.org/docs/Documents/SynObs/SynObs_FlagshipOSE_Guideline_Ver1.pdf
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.
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.