Autori: Alina Bãrbulescu and Elena Bautu

Editorial: Springer, Theoretical and Applied Climatology, 2009.

Rezumat:

The understanding of processes that occur in climate change evolution and their spatial and temporal variations are of major importance in environmental sciences. Modeling these processes is the first step in the prediction of weather change. In this context, this paper presents the results of statistical investigations of monthly and annual meteorological data collected between 1961 and 2007 in Dobrudja (a region situated in the South–East of Romania between the Black Sea and the lower Danube River) and the models obtained using time series analysis and gene expression programming. Using two fundamentally different approaches, we provide a comprehensive analysis of temperature variability in Dobrudja, which may be significant in understanding the processes that govern climate changes in the region.

Cuvinte cheie: serii de timp, programare cu expresii genetice // time series, gene expression programming, ARIMA

URL: http://www.springerlink.com/content/b664275mn3j4l627/?p=117351d0546c459985235ba8707bbe13&pi=33