Stochastic Behavior of the Daily Minimum, Mean and Maximum Temperature in Modena, Italy

Aprilesi, Giancarlo; Marseguerra, M.; Morelli, Sandra; Rivasi, Maria Rosa; Saltini, G.; Santangelo, R.

doi:10.1175/1520-0493(1977)105<1434:sbotdm>2.0.co;2

Cited by 12 publications

(3 citation statements)

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“…It is generally accepted that in extratropical regions the expected measurements of daily temperatures can be approximated to a simple harmonic representation (Rayner 1971, Aprilesi et al 1977, Neilson & Hsieh 1982, WMO 1983. In the measurements that compose time series, likely climatic changes can be also detected, the form of which can be complex (Katsoulis 1987).…”

Section: Methodsmentioning

confidence: 99%

“…Several studies have dealt with the characterisation of cold-spell occurrences in the Mediterranean region and, more generally, in other regions of Europe and the northern hemisphere, e.g. Hop-kins & White (1975), Aprilesi et al (1977), Brody & Nestor (1980), Le Boutillier & Waylen (1988), , Konrad & Calucci (1989), Gerstengarbe & Werner (1992), Macchiato et al (1993), Lana & Burgueno (1996), Henderson & Pittock (1997), Domonkos (1998), and Heino et al (1999). Studies concerned with extreme temperatures in the Greek region include Karapiperis (1953Karapiperis ( , 1956a, Livadas (1955), Flocas (1970), Repapis (1975), Metaxas (1976), Flocas & Angouridakis (1979) among others.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of cold spells in the Greek region

Pappas¹,

Hatzianastassiou

Katsoulis

2004

Clim. Res.

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The extreme phenomenon of cold-spell events in the Greek region was investigated in this study by using a combined deterministic-stochastic model, along with 31 yr daily minimum temperature data from 16 meteorological stations of the Hellenic National Meteorological Service (HNMS). Trend analysis and the spatio-temporal distribution of cold spells were investigated by applying linear regression and Fourier analysis. The frequency, duration, distribution, timing and intensity of cold spells were successfully fitted with Poisson, Gauss and exponential distributions. The features of cold spells were found to vary widely, due to the effect of physicogeographical parameters such as latitude, longitude, altitude, and continentality, as well as to the synoptic weather situations prevailing in the various Greek sub-areas. The relative importance of the physicogeographical peculiarities was assessed: latitude and altitude were evaluated as the most important parameters for determining the features of cold spells in Greece. The highest probability of cold spells in the Greek peninsula exists when a persistent NW European and/or Siberian anticyclone reaches its highest intensity during winter and extends high-pressure ridges to the Balkans, and particularly to the Greek area.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of cold spells in the Greek region

Pappas¹,

Hatzianastassiou

Katsoulis

2004

Clim. Res.

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“…The methods employed rely on the reasonable assumption of normality of maximum daily temperatures on any given day (Aprilesi et al 1977;Larsen and Pense 1982;WMO 1983;LeBoutillier and Waylen 1988). The distribution of the timings of events has also been found to be statistically similar to that of a normal distribution.…”

Section: Normality Of Temperaturementioning

confidence: 99%

The stochastic properties of high daily maximum temperatures applying crossing theory to modeling high-temperature event variables

Keellings

Waylen

2011

Theor Appl Climatol

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The statistical properties of the excursions of maximum daily temperatures above various critical thresholds of interest are analyzed with a view to developing models of heat wave events using more than 100 years of record from meteorological stations in Lake City, DeFuniak Springs, Avon Park, and Fort Myers, Florida. These stochastic variables include; event density (number of such events per unit time), duration, timing, and peak values over the threshold. The theoretical basis for the modeling is found in Crossing Theory. The methodology has the flexibility to extrapolate to such levels while also having the advantage of being able to be applied to spatially differentiated data to determine risks associated with hightemperature events during any time period or at any location of interest.

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Statistical analysis of freezing temperatures in Central and Southern Florida

Waylen

1988

J. Climatol.

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The probability distributions of the number of freezing periods per year, their timing and severity are examined at 25 stations in southern and central Florida. The proposed distributions, derived from stochastic crossing theory, provide adequate fits with the exception of three variables at different stations. The estimated parameter values reflect the changing geography of the freeze hazard. The freeze variable that exhibits the greatest variability over the area appears to be the number of periods, while the average severity of freezes and their timings are fairly homogeneous. The theoretical basis of the method permits estimation of the distribution of the dates of first and last freezes and the distribution of the coldest temperature likely to be encountered during any period of interest. The risks of periods of extremely cold temperatures, rarely observed in the historic records, may also be obtained from those at the more commonly encountered level. The technique provides a thorough yet easily interpreted summary of cold-spell risks at any location.

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Stochastic Behavior of the Daily Minimum, Mean and Maximum Temperature in Modena, Italy

Cited by 12 publications

References 0 publications

Analysis of cold spells in the Greek region

Analysis of cold spells in the Greek region

The stochastic properties of high daily maximum temperatures applying crossing theory to modeling high-temperature event variables

Statistical analysis of freezing temperatures in Central and Southern Florida

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