it depends on computer weather models and software that analyze observed weather data and make forecasts. When that data is incomplete, the models must interpolate (or estimate) the missing data between the available data points. As the distance between available observational data points grows, the computer model’s ability to interpolate weakens. The chance of an error occurring during interpolation can go up, depending on the time frame getting analyzed. For example, if the forecast period is longer, the model may have to interpolate more data. This can increase the chance of errors in its predictions.
