Stationary and non-stationary temperature-duration-frequency curves for Australia
نویسندگان
چکیده
Abstract Australian summer heat events have become more frequent and severe in recent times. Temperature-duration-frequency (TDF) curves connect the severity of episodes various durations to their frequencies thus can be an effective tool for analysing extremes. This study examines using data from 82 meteorological stations. TDF been developed under stationary non-stationary conditions. Generalised Extreme Value (GEV) distribution is considered estimate extreme temperatures return periods 2, 5, 10, 25, 50 100 years. Three major climate drivers Australia as potential covariates along with Time develop curves. According Akaike information criterion, framework modelling provides a better fit than its equivalent. The findings beneficial offering new aid adaptation mitigation at regional level Australia.
منابع مشابه
Time-Frequency Domain Characterization of Stationary and Non stationary Signals
Abstract-This paper presents the various methods for the spectral analysis of signals for the stationary as well as non-stationary signals. Due to non-stationary characteristics of the signals, it has been always a challenge to achieve time frequency distribution of such signals. Between the various techniques of signal analysis, this paper uses Fourier transform, Short time Fourier transform, ...
متن کاملProjected non-stationary simultaneous iterative methods
In this paper, we study Projected non-stationary Simultaneous It-erative Reconstruction Techniques (P-SIRT). Based on algorithmic op-erators, convergence result are adjusted with Opial’s Theorem. The advantages of P-SIRT are demonstrated on examples taken from to-mographic imaging.
متن کاملStationary and non-stationary time series
Time series analysis is about the study of data collected through time. The field of time series is a vast one that pervades many areas of science and engineering particularly statistics and signal processing: this short article can only be an advertisement. Hence, the first thing to say is that there are several excellent texts on time series analysis. Most statistical books concentrate on sta...
متن کاملstatistical inference via empirical bayes approach for stationary and dynamic contingency tables
چکیده ندارد.
15 صفحه اولUsing Wavelets and Splines to Forecast Non-Stationary Time Series
This paper deals with a short term forecasting non-stationary time series using wavelets and splines. Wavelets can decompose the series as the sum of two low and high frequency components. Aminghafari and Poggi (2007) proposed to predict high frequency component by wavelets and extrapolate low frequency component by local polynomial fitting. We propose to forecast non-stationary process u...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Stochastic Environmental Research and Risk Assessment
سال: 2023
ISSN: ['1436-3259', '1436-3240']
DOI: https://doi.org/10.1007/s00477-023-02518-w