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    <title>Forecasting on AI Science Report</title>
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      <title>The AI Weather Model That Uses 200 Times Less Energy Than the World&#39;s Best</title>
      <link>https://aiscience.uk/posts/ai-weather-subseasonal-ecmwf-200x-energy/</link>
      <pubDate>Wed, 08 Jul 2026 00:00:00 +0800</pubDate>
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      <description>&lt;p&gt;The European Centre for Medium-Range Weather Forecasts has spent decades running the world&amp;rsquo;s most sophisticated weather simulations on some of the planet&amp;rsquo;s largest supercomputers. Their model, the Integrated Forecasting System, crunches through the laws of physics hour by hour to predict what the atmosphere will do next. Last week, ECMWF announced that a machine learning model using 200 times less energy can now match it. In the weeks-ahead range that matters most for disaster planning, it can beat it.&lt;/p&gt;&#xA;&lt;p&gt;That model is called AIFS-SUBS, and it is ECMWF&amp;rsquo;s first AI system designed specifically for sub-seasonal forecasting: the awkward middle ground between next week&amp;rsquo;s weather and next season&amp;rsquo;s climate. Meteorologists call this the &amp;ldquo;predictability desert.&amp;rdquo;&lt;/p&gt;</description>
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