Using an analogy between WT representation of a time series and a music score, the authors illustrate the importance of local versus global information in the time–frequency localization of climate ...

Time series forecasting, bolstered by models such as ARIMA, SARIMA and LSTM, ensures that decisions are made based on robust data analytics rather than mere chance.