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by transportguy
1738 days ago
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GFS takes a simple average of the ensembles for their avg model, I believe. The biggest problem is that you can't use statistics like you normally would in meteorology. Predictions are actually very good for knowing WHAT happens to a weather system, but not WHERE it happens. I work in the sailing space, so this is what happens there: A racing offshore sailor would consider a variety of models and ensembles. Then they would consider the various possibilities for the weather systems and fronts (e.g. front crosses your path +/-5% East/West within a +/-3h gap). A sailor would then avoid any possible dangerous situations, and pick a path that on the most number of models gives them an optimal wind. It is both an art and a science. If you compare the results of sailors who compete in offshore competitions (such as the Vendee globe), where the boats are all constructed in very similar ways, you'll see that the best sailors consistently get good results, and that is based on good meteorology and a good gain to risk ratio for route choice. |
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A lot of private providers roll up different agencies models to provide their own proper ie tart weather model because this is a lot cheaper than running the HPC required for most deterministic models.
The most important thing when checking the weather, especially with apps like windy, is to compare multiple models for your self to see how “stable” the forecasts are that day.