Evaluation of near-term daily temperature and precipitation simulationsĪ data-driven approach for obtaining near-term (2–20 years) regional temperature and precipitation projections utilizing local historical observations was established in this study to facilitate civil and environmental engineering applications. Results of the quantitative assessment on annual forecasts Quantitative evaluation metrics for near-term regional climate forecasts Comparisons of annual forecasts between the ARIMA and other statistical techniques Evaluations of near-term regional temperature and precipitation projections Simulation of near-term daily temperature and precipitation Near-term projections of annual temperature and precipitation extremes Near-term projections of annual average temperature and total precipitation Methodology of applying the ARIMA model to obtain near-term forecasts for engineering applications 2) Combination of Box–Cox transformation.Background of the selected statistical techniques for time series forecasting Temporal correlation and skewed distribution Location-specific historical climate data Selection of a statistical time series forecasting model
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