Journal of Atmospheric Science Research

Abstract: Singular Spectrum Analysis (SSA) was applied to daily time series of carbon monoxide (CO) and ozone (O₃) observed between 2000 and 2018 in Campo Grande, MS, Brazil, to identify seasonal patterns, long-term variability, and evaluating the predictive capacity of the technique. The methodology involved the decomposition of the series into structural components and subsequent prediction... More

Abstract: Rainfall prediction is crucial for agricultural planning and water resource management, as Bangladesh’s agriculture heavily depends on rainfed irrigation. Existing forecasting models are complex and costly, both budgetarily and computationally. As a result, our study evaluates the comparative performance of forecasting models, comprising two traditional time series models (Exponential Smoothing (ES) and Seasonal Autoregressive Integrated... More