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  2. Fan chart (time series) - Wikipedia

    en.wikipedia.org/wiki/Fan_chart_(time_series)

    In time series analysis, a fan chart is a chart that joins a simple line chart for observed past data, by showing ranges for possible values of future data together with a line showing a central estimate or most likely value for the future outcomes.

  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. [83] [84]

  4. Meteorologist - Wikipedia

    en.wikipedia.org/wiki/Meteorologist

    A meteorologist is a scientist who studies and works in the field of meteorology aiming to understand or predict Earth's atmospheric phenomena including the weather. [1] Those who study meteorological phenomena are meteorologists in research, while those using mathematical models and knowledge to prepare daily weather forecasts are called weather forecasters or operational meteorologists.

  5. Probabilistic forecasting - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_forecasting

    Probabilistic forecasting summarizes what is known about, or opinions about, future events. In contrast to single-valued forecasts (such as forecasting that the maximum temperature at a given site on a given day will be 23 degrees Celsius, or that the result in a given football match will be a no-score draw), probabilistic forecasts assign a probability to each of a number of different ...

  6. Will students face storms as they head back to school? What ...

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  7. Forecasting - Wikipedia

    en.wikipedia.org/wiki/Forecasting

    Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis.