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In 2024, a group of researchers at Google's DeepMind AI research laboratories published a paper in Nature to descrivbe their machine-learning model, called GenCast, that is expected to produce more accurate forecasts than the best traditional weather forecasting systems. [85]
The Weather Research and Forecasting (WRF) Model [1] (/ ˈ w ɔːr f /) is a numerical weather prediction (NWP) system designed to serve both atmospheric research and operational forecasting needs. NWP refers to the simulation and prediction of the atmosphere with a computer model, and WRF is a set of software for this.
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 ...
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.
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
Weather forecast skill is often presented in the form of seasonal geographical maps. Forecasting skill for single-value forecasts (i.e., time series of a scalar quantity) is commonly represented in terms of metrics such as correlation, root mean squared error, mean absolute error, relative mean absolute error, bias, and the Brier score, among ...
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.