INTERANNUAL VARIABILITY OF STORM WAVES IN THE BLACK SEA ACCORDING TO NUMERICAL MODELLING RESULTS
Abstract
Parameters of wind waves in the Black Sea were simulated by the SWAN model and NCEP/NCAR reanalysis. The results of the simulation are used to define specific features of the spatio-temporal distribution of storminess. The simulation results were verified by the data of in-situ measurements performed with a Datawell wave buoy. Simulated values of significant wave height are lower than measured ones, therefore an empirical relationship is applied for correction. Seasonal and inter-annual variability of extreme storminess was assessed by analyzing series of annual and seasonal significant wave height values corresponding to each year, maximum monthly wave heights, and the spatial distribution of seasonal significant wave height maxima. No significant trends of these parameters were derived. A period of increased storminess in the 1960-s – early 1970-s, which was determined previously in terms of storm number and duration, is also expressed in annual significant wave height maxima. The spatial distribution of storminess is assessed based on the locations of annual significant wave height maxima. Their highest recurrence corresponds to the southwestern part of the sea. Storms of July 13th, 1969, and February 13th, 2004, are discussed as examples of extreme storms on the Black Sea.
About the Authors
F. N. Gippius
Lomonosov Moscow State University
Russian Federation
Faculty of Geography, Department of Oceanology, Scientific Researcher
Russian Federation
Faculty of Geography, Department of Oceanology, Scientific Researcher
V. S. Arkhipkin
Lomonosov Moscow State University
Russian Federation
Faculty of Geography, Department of Oceanology, Associate Professor, PhD. in Geograph
Russian Federation
Faculty of Geography, Department of Oceanology, Associate Professor, PhD. in Geograph
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Review
For citations:
Gippius F.N., Arkhipkin V.S. INTERANNUAL VARIABILITY OF STORM WAVES IN THE BLACK SEA ACCORDING TO NUMERICAL MODELLING RESULTS. Vestnik Moskovskogo universiteta. Seriya 5, Geografiya. 2017;1(1):38-47. (In Russ.)
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