Probability forecasts – Part 1: ensembles and probabilistic forecasts

Abstract Ensemble weather forecasts have been in use for many years to help forecasters understand uncertainty in weather predictions but are now becoming core to some operational NWP systems. Ensembles offer greater predictive skill and information content than deterministic forecasts but are more complex to interpret and communicate; essential if users are to benefit through improved decision‐making. This Part 1 introduces the rationale for ensemble forecasts and illustrates some of the ways they can be post‐processed to produce useful forecast information in support of decision‐making. Part 2 will consider effective communication of such information and ask the question, will people understand?

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Publication Details

Journal
Weather
Published
2025-12-18
DOI
https://doi.org/10.1002/wea.70015
Citations
1
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
1.30

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article

Probability forecasts – Part 1: ensembles and probabilistic forecasts

Ken Mylne
1 citations
Weather
Meteorological Phenomena and Simulations
1.30
article

Probability forecasts – Part 1: ensembles and probabilistic forecasts

Ken Mylne
article en
1 citations

Abstract

Abstract Ensemble weather forecasts have been in use for many years to help forecasters understand uncertainty in weather predictions but are now becoming core to some operational NWP systems. Ensembles offer greater predictive skill and information content than deterministic forecasts but are more complex to interpret and communicate; essential if users are to benefit through improved decision‐making. This Part 1 introduces the rationale for ensemble forecasts and illustrates some of the ways they can be post‐processed to produce useful forecast information in support of decision‐making. Part 2 will consider effective communication of such information and ask the question, will people understand?

WeatherVol. 81(3)
Met Office (GB)
Met Office
Openalex Percentile: Top 15%
Meteorological Phenomena and Simulations
1.30
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