Research results relevant to the analysis and prediction of observed atmospheric circulations and physics, including technique development, data assimilation, model validation, and relevant case studies. This includes papers on numerical and data assimilation techniques that apply to the atmosphere and/or ocean environments as well as socioeconomic analyses of the impacts of weather and weather forecasts. MWR focuses on phenomena having seasonal and subseasonal time scales. Reviews of climatological aspects of high-impact events such as hurricanes, as well as review articles, are occasionally published.

American Meteorological Society

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Combining satellites, radar provides path for better forecasts

Every minute counts when it comes to predicting severe weather. Combing data from cutting-edge geostationary satellites and traditional weather radar created a path toward earlier, more accurate warnings, according to Penn ...

Facial recognition technique could improve hail forecasts

The same artificial intelligence technique typically used in facial recognition systems could help improve prediction of hailstorms and their severity, according to a new study from the National Center for Atmospheric Research ...

New weather model could increase tornado-warning times

Penn State researchers are the first to use data obtained from recent next-generation satellites in a numerical weather-prediction model used to provide guidance for tornadic thunderstorm forecasting.

Insight into complicated Arctic cloud processes

The Arctic has changed at a faster rate than the rest of the planet. Clouds impact the surface energy budget and, thus, the melting or growth of land- and ocean-based ice. Many Arctic clouds are "mixed phase," consisting ...

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