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  2. Numerical weather prediction - Wikipedia

    en.wikipedia.org/wiki/Numerical_weather_prediction

    Weather reconnaissance aircraft, such as this WP-3D Orion, provide data that is then used in numerical weather forecasts.. The atmosphere is a fluid.As such, the idea of numerical weather prediction is to sample the state of the fluid at a given time and use the equations of fluid dynamics and thermodynamics to estimate the state of the fluid at some time in the future.

  3. Template:IUCN bird chart - Wikipedia

    en.wikipedia.org/wiki/Template:IUCN_bird_chart

    Template: IUCN bird chart. 3 languages. ... This template accepts no arguments, and produces the chart and text shown above.

  4. Template:IUCN bird chart/doc - Wikipedia

    en.wikipedia.org/wiki/Template:IUCN_bird_chart/doc

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  5. Prognostic chart - Wikipedia

    en.wikipedia.org/wiki/Prognostic_chart

    A prognostic chart is a map displaying the likely weather forecast for a future time. Such charts generated by atmospheric models as output from numerical weather prediction and contain a variety of information such as temperature , wind , precipitation and weather fronts .

  6. History of numerical weather prediction - Wikipedia

    en.wikipedia.org/wiki/History_of_numerical...

    ENIAC was used to create the first forecasts via computer in 1950, and over the years more powerful computers have been used to increase the size of initial datasets and use more complicated versions of the equations of motion. The development of global forecasting models led to the first climate models.

  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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  9. Data assimilation - Wikipedia

    en.wikipedia.org/wiki/Data_assimilation

    Data assimilation is a mathematical discipline that seeks to optimally combine theory (usually in the form of a numerical model) with observations. There may be a number of different goals sought – for example, to determine the optimal state estimate of a system, to determine initial conditions for a numerical forecast model, to interpolate sparse observation data using (e.g. physical ...