Articles | Volume 19, issue 2
https://doi.org/10.5194/gmd-19-933-2026
https://doi.org/10.5194/gmd-19-933-2026
Methods for assessment of models
 | 
29 Jan 2026
Methods for assessment of models |  | 29 Jan 2026

Identifying sea breezes from atmospheric model output (sea_breeze v1.1)

Andrew Brown, Claire Vincent, and Ewan Short

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Short summary
We developed software to identify sea breezes from weather model output, using three different methods, and applied these to four models for a 6-month period over Australia. We tested each method using case studies and statistics of sea breeze occurrences, finding that a method that identifies atmospheric moisture fronts performs well. Some potential errors are demonstrated due to detection of other frontal systems, but this method could be useful for robustly analyzing sea breezes from models.
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