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Generation of synthetic sequences of half‐hourly temperature

doi: 10.1002/env.905
handle: 11541.2/112701
AbstractWe present tools to generate synthetic sequences of half‐hourly temperatures with similar statistical characteristics to observed historical data. Temperatures are generated using a combination of daily and half‐hourly temperature models which account for intra‐day and intra‐year seasonality, as well as short‐and long‐term serial correlations. Details of the model estimation are given as well as a description of the synthetic generation. Copyright © 2008 John Wiley & Sons, Ltd.
- Monash University Australia
- University of South Australia Australia
- University of South Australia Australia
seasonal block bootstrap, fourier series, synthetic generation, time series analysis, applied statistics, stochastic analysis and modelling, ARMA models
seasonal block bootstrap, fourier series, synthetic generation, time series analysis, applied statistics, stochastic analysis and modelling, ARMA models
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).24 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
