To today's level we add the change of every past year over the same two weeks. The result is a distribution of outcomes.An analogue forecast is a method of predicting future weather or climate by looking at what happened in similar past situations. The idea is simple: if today's conditions resemble those of a particular year in the past, then the coming weeks or months might unfold similarly. Instead of relying on complex physics equations, this approach uses history as a guide.
Analogue forecasting has roots in the early 20th century, but it gained formal traction in the 1970s and 1980s as climate data archives grew and computers made pattern-matching feasible.
To make an analogue forecast, you start with today's state—say, the current sea-surface temperature pattern. Then you search through decades of past records for years where the same pattern appeared at the same time of year. For each matching 'analogue year,' you note how conditions changed over the following two weeks. By combining those historical changes—often taking an average or building a distribution—you get a range of possible outcomes for the future.
It is used in seasonal climate outlooks, especially for regions where long-term records are rich but dynamical models are less reliable, such as monsoon forecasts in South Asia.
Analogue forecasts were used by the U.S. military during World War II to plan operations, long before numerical weather prediction became standard.




