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  2. Template:Weather box maker - Wikipedia

    en.wikipedia.org/wiki/Template:Weather_box_maker

    This page was last edited on 11 January 2019, at 12:27 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

  3. WUHU (software) - Wikipedia

    en.wikipedia.org/wiki/WUHU_(software)

    Weather Underground / HeavyWeather Uploader, commonly WUHU, is a free software package for Microsoft Windows which allows users with Personal Weather Stations to contribute weather data to one of several networks, including: Weather Underground (wunderground.com) Citizen Weather Observer Program (also known as CWOP) [1] WeatherBug [2] YoWindow [3]

  4. Numerical weather prediction - Wikipedia

    en.wikipedia.org/wiki/Numerical_weather_prediction

    The ENIAC main control panel at the Moore School of Electrical Engineering operated by Betty Jennings and Frances Bilas. The history of numerical weather prediction began in the 1920s through the efforts of Lewis Fry Richardson, who used procedures originally developed by Vilhelm Bjerknes [1] to produce by hand a six-hour forecast for the state of the atmosphere over two points in central ...

  5. SYNOP - Wikipedia

    en.wikipedia.org/wiki/SYNOP

    SYNOP (surface synoptic observations) is a numerical code (called FM-12 by WMO) used for reporting weather observations made by staffed and automated weather stations. SYNOP reports are typically sent every six hours by Deutscher Wetterdienst on shortwave and low frequency using RTTY.

  6. Meteogram - Wikipedia

    en.wikipedia.org/wiki/Meteogram

    An example meteogram showing plots of temperature, pressure, precipitation, cloud cover, wind speed and wind direction. A meteogram, also known as a meteorogram, [1] is a graphical presentation of one or more meteorological variables with respect to time, whether observed or forecast, for a particular location. [2]

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  8. Weather forecasting - Wikipedia

    en.wikipedia.org/wiki/Weather_forecasting

    The Weather Machine: A Journey Inside the Forecast. New York: HarperCollins. ISBN 978-0-062-36861-4. Ian Roulstone & John Norbury (2013). Invisible in the Storm: the role of mathematics in understanding weather. Princeton University Press. ISBN 978-0691152721.

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    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!