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  2. Prognostic chart - Wikipedia

    en.wikipedia.org/wiki/Prognostic_chart

    The global models are run outwards to varying times into the future. The UKMET Unified Model is run six days into the future, [16] the European Centre for Medium-Range Weather Forecasts model is run out to 10 days into the future, [17] while the Global Forecast System model run by the Environmental Modeling Center is run 16 days into the future ...

  3. Weather forecasting - Wikipedia

    en.wikipedia.org/wiki/Weather_forecasting

    Microsoft's Aurora system offers global 10-day weather and 5-day air pollution (CO 2, NO, NO 2, SO 2, O 3, and particulates) forecasts with claimed accuracy similar to physics-based models, but at orders-of-magnitude lower cost. Aurora was trained on more than a million hours of data from six weather/climate models.

  4. File:Newspaper weather forecast - today and tomorrow.svg

    en.wikipedia.org/wiki/File:Newspaper_weather...

    {{Information |Description=An example of a two-day weather forecast in the visual style that a newspaper might use. |Source=self-made |Date=2007-5-8 |Author= Parhamr}} File usage The following 3 pages use this file:

  5. Weather on AOL.com - AOL Help

    help.aol.com/articles/weather-on-aolcom

    2. Click the weather icon in the top-left corner of the page. 3.Select the Settings icon next to current city name - The Location Settings menu will appear. 4. Select Add New Location. 5. In the City or ZIP code search bar enter the ZIP code or city you wish to track 6. Select the city name to add the location.

  6. Windy (weather service) - Wikipedia

    en.wikipedia.org/wiki/Windy_(weather_service)

    The portal was founded by Ivo Lukačovič in November 2014, [1] [2] initially focusing on wind animation. It has since expanded to include various essential meteorological parameters, such as temperature , pressure , relative humidity , cloud base, and additional panels featuring more advanced data.

  7. Model output statistics - Wikipedia

    en.wikipedia.org/wiki/Model_output_statistics

    In weather forecasting, model output statistics (MOS) is a multiple linear regression technique in which predictands, often near-surface quantities (such as two-meter-above-ground-level air temperature, horizontal visibility, and wind direction, speed and gusts), are related statistically to one or more predictors.

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