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  2. AD–AS model - Wikipedia

    en.wikipedia.org/wiki/AD–AS_model

    The AD (aggregate demand) curve in the static ADAS model is downward sloping, reflecting a negative correlation between output and the price level on the demand side. It shows the combinations of the price level and level of the output at which the goods and assets markets are simultaneously in equilibrium.

  3. 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.

  4. DAD–SAS model - Wikipedia

    en.wikipedia.org/wiki/DAD–SAS_model

    The DAD (Dynamic aggregate demand) curve is in the long run a horizontal line called the EAD (Equilibrium aggregate Demand) curve. The short run DAD curve at flexible exchange rates is given by the equation: = + + (+)

  5. Weather forecasting - Wikipedia

    en.wikipedia.org/wiki/Weather_forecasting

    The simplest method of forecasting the weather, persistence, relies upon today's conditions to forecast tomorrow's. This can be valid when the weather achieves a steady state, such as during the summer season in the tropics. This method strongly depends upon the presence of a stagnant weather pattern.

  6. Forecast skill - Wikipedia

    en.wikipedia.org/wiki/Forecast_skill

    In this case, a perfect forecast results in a forecast skill metric of zero, and skill score value of 1.0. A forecast with equal skill to the reference forecast would have a skill score of 0.0, and a forecast which is less skillful than the reference forecast would have unbounded negative skill score values. [4] [5]

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  8. 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 ...

  9. 2025 NFL mock draft: Expert projections for Cam Ward ... - AOL

    www.aol.com/2025-nfl-mock-draft-expert-192129777...

    NFL POWER RANKINGS WEEK 17: Another close battle for No. 1 spot. 2025 NFL mock draft roundup. Order is current entering Week 17 games. 1. New York Giants. USA TODAY Sports: Shedeur Sanders, QB ...