The SST Variability Investigation In Northern Atlantic And The Assessment Of Related Changes In European Climate

Remote sensing data provided the major contribution to the sea surface temperature (SST) field analysis during last several decades. Climate variability of the SST in Northern Atlantic is investigated by using an empirical orthogonal function (EOF) and fuzzy classification techniques. The leading EOF of the wintertime sea-level pressure (SLP) field is more strongly coupled to the surface atmosphere temperature (SAT) fluctuations over Europe than the NAO. Non-linear trend estimation technique was developed to detect an inter-annual variability of the SST, the SLP and the SAT. The SST had a tendency to dropping in interval from late forties to early seventies of last century. This tendency was changed to increasing in the middle of seventies and continued to the end of last century. It is in a good coherence with the SAT climate series in Europe.