<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Topics tagged with rating]]></title><description><![CDATA[A list of topics that have been tagged with rating]]></description><link>https://community.windy.com/tags/rating</link><generator>RSS for Node</generator><lastBuildDate>Wed, 12 Aug 2026 02:26:40 GMT</lastBuildDate><atom:link href="https://community.windy.com/tags/rating.rss" rel="self" type="application/rss+xml"/><pubDate>Invalid Date</pubDate><ttl>60</ttl><item><title><![CDATA[User Feedback for App Weather Predictions]]></title><description><![CDATA[@asheem01
Windy shows several deterministic weather models. The probability of a forecast is not displayed as this is deduced from ensemble weather models.
But in Windy the user can compare several models. By using the “Compare” table the user can feel the probability of the forecast.
[image: 1705049425785-28f6de61-1a9a-4a1a-ae27-7254a827839c.jpeg]
Then you can rely on Meteoblue which itself is a Multimodel with A.I processing, as Meteoblue explain.
Looking ahead, there is no doubt that artificial intelligence (AI) and machine learning (ML) will become increasingly important in weather forecasting. The ECMWF, whose IFS model is the one used by default in Windy, is already carrying out parallel work with its new AI model:
https://www.ecmwf.int/en/about/media-centre/aifs-blog/2023/ECMWF-unveils-alpha-version-of-new-ML-model
]]></description><link>https://community.windy.com/topic/30816/user-feedback-for-app-weather-predictions</link><guid isPermaLink="true">https://community.windy.com/topic/30816/user-feedback-for-app-weather-predictions</guid><dc:creator><![CDATA[idefix37]]></dc:creator><pubDate>Invalid Date</pubDate></item></channel></rss>