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291 points meetpateltech | 1 comments | | HN request time: 0s | source
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binsquare ◴[] No.45955754[source]
I find it interesting that they quantify the improvement on speed and number of forecast-ed scenarios but lack details on how it results in improved accuracy of the forecast per:

``` WeatherNext 2 can generate forecasts 8x faster and with resolution up to 1-hour. This breakthrough is enabled by a new model that can provide hundreds of possible scenarios. ```

As an end user, all I care is that there's one accurate forecasted scenario.

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1. sails ◴[] No.45957542[source]
As others have explained, ensembles are useful.

As a layperson, what _is_ useful is to look at the difference between models. My long range favourite is to compare ECMWF and GFS27 and if the deviation is high (windy app has this) then you can bet that at least one of them is likely wrong