Simulation modelling of wind-induced sea level fluctuations at the ports of the Odesa Region in the North-Western part of the Black Sea
The paper is devoted to discussion of the prospects of simplified 2D hydrodynamic model use aimed at forecasting the wind-induced sea level fluctuations within the area of sea ports (Chornomorsk, Odesa and Yuzhnyi) of the Odesa Region in the North-Western part of the Black Sea. Spatio-temporal variability of wind conditions at the sea-atmosphere division is specified based on the data of the global numerical weather prediction model of the Global Forecast System (GFS). The research includes the description of the mathematical structure of the hydrodynamic model and the results of its adaptation to the conditions of the simulated sea area. It presents the results of model verification in the version which implies adoption of wind data from the archives of GFS-analysis and GFS-forecasts for 2010, 2016 and 2017. The verification was performed by comparing wind-induced denivellations of the sea level at the ports of Chornomorsk, Odesa and Yuzhnyi calculated over the course of modelling and those established on the basis of observational data (with the discreteness of 6 hours). A quantitative assessment of the calculation accuracy was performed for the cases where, according to the observational data, level denivellations exceeded the value of the standard deviation for the entire series. New series of the observed and calculated model-based significant wind-induced denivellations of sea level were formed for each of the ports from the sets of samples that met this condition. Using these series estimates of the mean square error of the calculations, allowable error of calculations, correlation coefficient between the actual and calculated values of the level denivellations, the probability of the calculation method under the allowable error were obtained. It was established that in the case of use of the data from wind GFS-analysis (with spatial resolution of 0.5° both latitudinally and longitudinally) over the course of modelling the probability of calculation of significant sea level denivellation constitutes 84-85%, and in case of using the data from the GFS-archive of wind forecasts (with spatial resolution of 0.25°) – 88-91%. This allowed making a conclusion that the model has good prospects of use for operational forecast of the sea level fluctuations caused by storm wind in the version implying assimilation of the predicted information on the spatio-temporal variability of wind conditions obtained by means of the GFS global weather forecast model.
Lonin, S.A. & Tuchkovenko, Yu.S. (1999). Imitatsiya sgonno-nagonnykh kolebaniy urovnya morya v portakh severo-zapadnoy chasti Chernogo morya [Simulation of the inflow-outflow oscillations of the sea water level in the ports of the North-Western part of the Black Sea]. Ekologicheskaya bezopasnost' pribrezhnoy i shel'fovoy zon i kompleksnoe ispol'zovanie resursov shel'fa [Environmental safety of coastal and shelf zone and integrated usage of shelf resources]. Sevastopol: Marine Hydrophysical Institute of NASU, pp. 58-66. (in Russ.)
Komorin, V.N. & Tuchkovenko, Yu.S. (2002). Ispol'zovanie chislennoy gidrodinamicheskoy modeli dlya prognoza sgonno-nagonnykh kolebaniy urovnya morya v portakh severo-zapadnogo shel'fa Chernogo morya [The Use of a Numerical Hydrodynamic Model for Forecasting Wind Fluctuations of the Sea Level at the Ports in the North-Western Shelf of the Black Sea]. Meteorolohiia, klimatolohiia ta hidrolohiia [Meteorology, Climatology and Hydrology], 46, pp. 324-331. (in Russ.)
Volcinger, R.V. & Piaskovskii R.V. (1977). Teoriya melkoy vody. Okeanologicheskie zadachi i chislennye metody [The shallow-water theory. Oceanological Problems and Numerical Methods]. Leningrad: Gidrometeoizdat. (in Russ.)
German, V.Kh. & Levikov, S.P. (1988). Veroyatnostnyy analiz i modelirovanie kolebaniy urovnya morya [Probability Analysis and Simulation of Oscillations of the Sea Level]. Leningrad: Gidrometeoizdat. (in Russ.)
Blatov, A.S., Bulgakov, N.P., Ivanov, V.A. et al. (1984). Izmenchivost' gidrofizicheskikh poley Chernogo morya [Variability of Hydrophysical Fields of the Black Sea]. Leningrad: Gidrometeoizdat. (in Russ.)
The GFS Atmospheric Model. Available at: http://www.emc.ncep.noaa.gov/gmb/moorthi/gam.html (Accessed: 15.10.2017).
NOAA. National Weather Servise. Environmental Modeling Center. Available at: http://www.emc.ncep.noaa.gov/GFS/.php (Accessed: 11.11.2017).
Lui, S.K. & Leendertse, J.J. (1978). Multidimensional numerical modeling of estuaries and coastal seas. Adv. Hydrosci., 11, pp. 95 - 164.
NOAA. Global Forecast System (GFS). GFS Analysis. Available at: https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs. GFS-ANL 004 (0.5º). Available at: https://nomads.ncdc.noaa.gov/data/gfsanl/...(Accessed: 15.07.2016)
National Centers for Environmental Prediction/National Weather Service/NOAA. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. NCEP GFS 0.25 Degree Global Forecast Grids Historical Archive. Available at: https://rda.ucar.edu/datasets/ds084.1/#!access (Accessed: 21.10.2017).
Nastavlenie po sluzhbe prognozov [Guidance for the Forecasting Service]. Section 3, Part 3: Sluzhba morskikh gidrologicheskikh prognozov [The Service for Marine Hydrological Forecasts]. (2011). Russian Hydrometeorological Service. (in Russ.)
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