This paper uses an original approach for the typification of synoptic situations from re-analysis data over a long period of time. This approach includes the typification of surface atmospheric pressure and surface wind velocity fields over the Azov-Black Sea basin. The results of typification (structures) of surface atmospheric pressure and surface velocity are presented in the form of Kohonen self-organizing maps (SOM), and the percentage of time recurrence of the allocated structures is given. The relevance of the study is due to the need to study the physical patterns of development of various types of intense atmospheric circulation over the Azov-Black Sea basin and their relationship with the largescale atmospheric circulation on multi-annual scales.
The purpose of this study is to investigate the interannual variability of the Black Sea suspended matter concentrations based on satellite data. The spatial and temporal variability of the bio-optical parameters are investigated by satellite data analysis. To analyze the interannual variability of suspended matter concentration on the northwestern shelf of the Black Sea, the combined monthly fields of the backscatter factor (BBP) for the period 1998-2010, obtained from the data of the SeaWiFS scanners, MODIS, MERIS are presented in a uniform spatial resolution grid of 4.6 km. empiric orthogonal function (EOF) analysis is applied to these data arrays with the aim to classify the spatial variability of BBP signal. As a result, the characteristics of the interannual spatial-temporal variability of the suspended matter concentration are given by four Empiric orthogonal function maps. They describe around 52% of summary suspended matter variance on the northwestern shelf of the Black Sea and thus its define the main regions (sources) of matter input. The influence of the Danube water inflow and suspended matters transport on the northwestern part of the Black Sea are discussed. The relationship between interannual variability of the suspended matter concentrations and large-scale atmospheric circulation processes was compared via North Atlantic Oscillation index.