Karl Schableger,
"Statistische Analyse klimatologischer Zeitreihen"
, in Historical Social Research, 1996, Schableger ,K.: Statistische Analyse klimatologischer Zeitreihen, Historical Social Research, 21, 3, 4-33
Original Titel:
Statistische Analyse klimatologischer Zeitreihen
Sprache des Titels:
Deutsch
Englische Kurzfassung:
In the scope of discussions about global warming, various statistical models describing longterm temperature time series are proposed. The time series of the daily air temperature of Vienna between 1.1.1874 and 31.12.1993 has been the basis for this analysis. In general, the results obtained from this analysis can be used for examining the climatic cjange of the central European area. ARIMA-Modelling, created by Box and Jenkins, was the main type of model utilized for the analysis. In addition to digfference filter dynamic regression analysis and transfer function models werde used. Using nonstochastic, exogenous input variables (called interventions) an expected temperature equilibrium was estimated. Morover, ordinary trend estimation was done to get an impression of the development and power of temperature increses. Finally, the results of the analysis of extreme temperature values were suitable to the theory of global warming. Unfortunately, checking the variation of the temperature series with various measuring techniques was not an unambiguous success. Therefore, the frequently mentioned hypothesis of growing varaibility could not be confirmed.
Forschungs-