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Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Modelling Long-Term Variability in Daily Air Temperature Time Series for Southern Hemisphere Stations
Abstract Customarily, climate studies of long-range temperature variability have been carried out using annual or monthly averages. The approach mixes the details of short- and long-range variability that are different for air temperature series. This work shows that a useful method for eliminating short-range variability on long-range variability is to apply a sufficiently long (about 2 months) time step to the daily series. An autoregressive integrated moving average model is fitted to daily maximum and minimum temperature anomalies from the mean seasonal cycle, using data from a number of Australian and New Zealand weather stations. The fitted model can be considered as a sum of random walk plus white noise. This enables us to obtain a quantitative long-term description of the temperature variability.
Modelling Long-Term Variability in Daily Air Temperature Time Series for Southern Hemisphere Stations
Abstract Customarily, climate studies of long-range temperature variability have been carried out using annual or monthly averages. The approach mixes the details of short- and long-range variability that are different for air temperature series. This work shows that a useful method for eliminating short-range variability on long-range variability is to apply a sufficiently long (about 2 months) time step to the daily series. An autoregressive integrated moving average model is fitted to daily maximum and minimum temperature anomalies from the mean seasonal cycle, using data from a number of Australian and New Zealand weather stations. The fitted model can be considered as a sum of random walk plus white noise. This enables us to obtain a quantitative long-term description of the temperature variability.
Modelling Long-Term Variability in Daily Air Temperature Time Series for Southern Hemisphere Stations
Kärner, Olavi (Autor:in) / Freitas, Chris R. (Autor:in)
Environmental Modeling & Assessment ; 17 ; 221-229
24.06.2011
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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