Assimilation of Sea Surface Temperature data for Central Vietnam’s Water Using Regional Ocean Modeling System (ROMS)
Main Article Content
Abstract
This paper presents the preliminary results of SST data assimilation for the Central Vietnam’s water using Regional Ocean Modeling System (ROMS). ROMS was used to assimilate with high-resolution SST from satellite with 4D-PSAS assimilation technique. Multi-scale Ultra-high Resolution (Mur) SST dataset which combines satellite and microwave data was used. ROMS has been set up based on the HYCOM products with the forcing from ECMWF. The results showed that the HYCOM SST and MurSST has significant difference in temperature which could be up to 1oC. Assimilated SST and hydrodynamic structures have been discussed. The impact of assimilation is mostly on the surface layer (less than 50 m). It’s possible to produce the best estimated initial fields with high resolution for the Central Vietnam water to further investigations.
Keywords:
Data assimilation, SST, ROMS model, 4DVar, 4DPSAS
References
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[8] L. L. Phuong, P. Q. Nam, T. Q. Duc, P. V. Tan, An Experiment for Assimilating Different Type of Data Observations in Forecasting Heavy Rainfall over Central Highlands Region Due to the Impact of Hurricane Damrey, VNU Journal of Science: Earth and Environmental Sciences, Vol. 35, No. 4, 2019, pp. 121-129, http://dx.doi.org/10.25073/25881094/vnuees.4478 (in Vietnamese).
[9] N. T. Thanh, N. M. Huan, T. Q. Tien, Application of Data Assimilation Method for Wave Height in Eastern Vietnam Sea by The Ensemble Kalman Filter, Journal of Marine Science and Technology, Vol. 18, No. 4, 2018, pp. 358-367, https://doi.org/10.15625/1859-3097/18/4/12474.
[10] T. Q. Tien, N. T. Trang, Experiment of Wave Height Assimilation with Radar Data Using SWAN Model, Vietnam Journal of Hydro-Meteorology, Vol. 647, 2014, pp. 31-35 (in Vietnamese).
[11] My ROMS: PSAS Tutorial, https://www.myroms.org/wiki/PSAS_Tutorial, (accessed on: December 1st, 2019).
[12] D. B. Haidvogel, H. Arango, W. P. Budgell, B. D. Cornuelle, E. Curchitser, E. Di Lorenzo, K. Fennel, W. R. Geyer, A. J. Hermann, L. Lanerolle, J. Levin, J. C. McWilliams, A. J. Miller, A. M. Moore, T. M. Powell, A. F. Shchepetkin, C. R. Sherwood, R. P. Signell, J. C. Warner, J. Wilkin, Ocean Forecasting in Terrain-Following Coordinates: Formulation and Skill Assessment of the Regional Ocean Modeling System, Journal of Computational Physics,
Vol. 227, No. 7, 2008, pp. 3595-3624, https://doi.org/10.1016/j.jcp.2007.06.016.
[13] J. L. Wilkin, H. G. Arango, D. B. Haidvogel, C. S. Lichtenwalner, S. M. Durski, K. S. Hedstrom, A Regional Ocean Modeling System for the Long-term Ecosystem Observatory, Journal of Geophysical Research, Vol. 110, 2005, C06S91, https://doi.org/10.1029/2003JC002218.
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