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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.
In comparison to traditional physics-based methods, machine learning (ML), or more broadly, artificial intelligence (AI) approaches, have demonstrated potential in enhancing weather forecasts (refer to the review by Shen et al. [39]). As detailed in Table 4 of Shen et al., these AI-driven models were trained with ERA5 reanalysis data and CMIP6 ...
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.
Las cabañuelas (also cavanuelas or cabanuelas) were a method of forecasting the weather practiced throughout the Hispanic diaspora. It is a traditional form of weather prediction dating back many centuries in Spain.
Top: Weather Research and Forecasting model simulation of Hurricane Rita tracks. Bottom: The spread of National Hurricane Center multi-model ensemble forecast. Ensemble forecasting is a method used in or within numerical weather prediction. Instead of making a single forecast of the most likely weather, a set (or ensemble) of forecasts is produced.
Barometer – an instrument used to measure atmospheric pressure using either water, air, or mercury; useful for forecasting short term changes in the weather; NOAA continental US weather forecast map for November 7, 2006. Ceiling balloon – a balloon, with a known ascent rate, used to measure the height of the base of clouds during daylight
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Articles on forecasting and analysis techniques, forecast verification studies, and case studies useful to forecasters. In addition, submissions that report on changes to the suite of operational numerical models and statistical post-processing techniques, and articles that demonstrate the transfer of research results to the forecasting community.