Geostatistical Assessment Of Forest-Based, Exponential Smoothing And Curve Fitting Algorithms In Forecasting Wet And Dry Conditions Of The Short Rain Season At A Local Scale In Uganda.
Context and objectives:Climate extremes associated with wet and dry conditions are one of the main causal elements of the disasters that adversely impact Uganda`s agriculturally based economy. However, the lack of reliable forecast records for wet and dry conditions remains a challenge at a local scale.