Documents

Invitation to contribute to “Frontiers Research Topics” on

Demonstrating Observation Impacts for the Ocean and Coupled Prediction (link)

Please contact the topic authors (Yosuke Fujii, Elisabeth Remy or Peter Oke) for information. Manuscript submission is open until 1 July 2024. Please find out more by visiting:

SynObs original proposal

SynObs as a project of ForeSea was submitted to the UN Decade second call for action in Jan 2022.

SYNOBS UN DECADE PROPOSAL

The submission document includes details on

project partners and supporting organisations
project objectives
planned project activities and expected outcomes
and more …

SynObs flagship OSE/OSSE

SYNOBS FLAGSHIP OSE GUIDELINE (VER. 1.02) – AUg 2024

SynObs Kick-off workshop

KICK-OFF Workshop summary

Publications

July 2023 ー Jun 2024

Balmaseda, M. A., R. McAdam, S. Masina, M. Mayer, R. Senan, E. De Boisseson, and S. Gualdi, 2024: Skill Assessment of Seasonal Forecasts of Ocean Variables. Frontiers in Marine Science, 11. https://doi.org/10.3389/fmars.2024.1380545
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. https://doi.org/10.1029/2022MS003044
Fujii et al., 2023: SynObs Flagship OSEs Guideline Version 1, published from the OceanPredict website, 25pp. SynObs_FlagshipOSE_Guideline_Ver1.pdf (oceanpredict.org)
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. https://doi.org/10.3389/fmars.2023.1021650
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, https://doi.org/10.1029/2023JC020039.
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. https://doi.org/10.3389/fmars.2024.1358193
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. https://doi.org/10.3389/fmars.2024.1340129
Rahman, R and Rahaman, H., 2024: Impact of bathymetry on Indian Ocean circulation in a nested regional ocean model. Sci Rep 14, 8008. https://doi.org/10.1038/s41598-024-58464-2
Samir Pokhrel, Hasibur Rahaman, Subodh Kumar Saha, Hemantkumar Chaudhari, Anupam Hazra, M. Ravichandran, 2024: Role of Improved Ocean Initial State in the Seasonal Prediction of Indian Summer Monsoon: A Case Study. Ocean-Land-Atmos Res. 2024;3:0034. https://spj.science.org/doi/10.34133/olar.0034
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. https://doi.org/10.3389/fmars.2024.1390781

July 2022 ー Jun 2023

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
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 Programme Office. https://oceanpredict.org/docs/Documents/Task%20Teams/OS-Eval-TT/Workshop-Nov2022/Summary/Summary_of_SynObs_Kickoff_workshop.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.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.https://doi.org/10.1002/qj.4408
Fujii, Y., 2023: Introduction of Synergistic Observing Network for Ocean Predictions (SynObs), Ocean Newsletter, Ocean Policy Research Institute, Sasagawa Peach Foundation (ISSN 2187-8862), 546, https://www.spf.org/opri/en/newsletter/547_1.html
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