BAYESIAN PROCESSOR OF OUTPUT: A NEW TECHNIQUE FOR PROBABILISTIC WEATHER FORECASTING
Roman Krzysztofowicz · 2004
Rational decision making by industries, agencies, and the public in anticipation of heavy precipitation, snow storm, flood, or other disruptive weather phenomenon, requires information about the degree of confidence that the user can place in a weather forecast. It is vital, therefore, to advance the meteorologist’s capability of quantifying forecast uncertainty to meet the society’s rising expectations for reliable information.