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Climate ; Climatic variability ; Eleventh Century ; Historical climate ; Statistics ; Time series ; Twentieth Century ; Weather type
On the base of several shifts of stationarities, a segmentation procedure has been applied to proxy series. The statistical significance of resulted sub-series is proved by PDF. Two groups of PDF exist, first one stand for cold sub-series
and the second one for warm sub-series. That means two features of the climate at century scale. This approach has to be applied before ARIMA. - (BJ)53173.

Atmospheric circulation ; Climatic trend ; Europe ; Iberian Peninsula ; Mountain ; Portugal ; Spain ; Temperature ; Time series
The aims of this contribution are to highlight significant trends in temperatures series of several mountains stations of the Iberian Peninsula and to compare those trends with the evolution of some nearby low-altitude stations. Finally, we analyze

Climatic variability ; Drought ; Greece ; Moisture ; Precipitation ; Time series ; Years 1960-69 ; Years 1990-99
The data set of this study is composed by daily precipitation values from 22 stations uniformly distributed within the Greek region ; the time series extend from 1958-2000. The objective is to calculate and to analyse the maximum number of dry

Aridity ; Climate ; Exceptional event ; Italy ; Lombardia ; Seasonal variability ; Time series ; Weather type

and favourable period's for rest, tourism and recreation. Utilisation of calendar on basis of multiannual series makes up examples of complex climatological study about wide use. They can use ecologists, farmers, foresters, gardeners, employee of individuals

Basse-Normandie ; Climatic data ; Climatic trend ; Climatic variation ; Data processing ; France ; Precipitation ; Time series

Longest series of climatic data for several meteo stations in Ethiopa were collected. They include 14 raingauges and 5 thermometric stations located in the highlands and in the Main Ethiopan Rift Valley and ranging in elevation from 1200 to 2500 m

The Gaik-Brzezowa and Szymbark series of daily weather observations and measurements was used to analyse the variability of the number of days with snowfall and the total snowfall during the cold season (Nov.-Apr.) in the period 1971-2000

, Woodruff et al. 1987). This sea area covers the Bay of Gdańsk and the area of South-East Baltic (Gdańsk Deep and S part of Gotland Deep) adjacent to it in the north. The analysis of correlation between the SST and the temperature of air made use of a series

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