Signal processing methods in analyzing of spatial-temporal climate data

Abstract

Climate data fields are characterized by a large amount of information (having, usually, many non-dominant patterns), multivariability, and non-linear nature. Several statistical and signal processing methods are applied in analyzing such of data - some of them are used here in analyzing of climate in the region of Serbia and Montenegro. The teleconnection with the two major generators of the global climate variability: the ENSO (El Nino Southern Oscillation) and the NAO (North Atlantic Oscillation) is approved.