Abstract
Analog forecasting is a method widely used for generating future forecasts by matching current forecast with historical weather patterns. Under optimal conditions, it was shown to generate accurate and well-calibrated forecasts. However, under suboptimal conditions, which include extreme or rare weather patterns, a small search repository, or a changing relationship between forecasts and observed outcomes, analogs can fail and do so without a known level of uncertainty.
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