A novel approach to weather forecasting uses convolutional neural networks to generate exceptionally fast global forecasts based on past weather data.
weather
The Benefits of Better Ocean Weather Forecasting
Improvements in our ability to forecast oceanic conditions weeks to months in advance will help communities, industries, and other groups prepare amid a changing climate.
A New Way to Represent Microphysical Uncertainty
A new way of representing microphysical uncertainty in convective-scale data assimilation reduces biases in model states and improves the accuracy of short-term precipitation forecasts.
Reduced Winter PM2.5 in Northern India Under Global Warming
Global warming is projected to alleviate PM2.5 pollution in Delhi by decreasing pollution-favorable weather days and increasing clean-favorable weather days.
Polar Vortex Linked to Atmospheric Circulation at Daily Scale
A simplified representation of polar vortex at monthly scale was revised using a new method, and its daily association with air-sea teleconnections was analyzed to study weather impacts.
Los retos de predecir las pequeñas, pero intensas, depresiones polares
Estas intensas tormentas marítimas suponen una amenaza para las comunidades costeras y las actividades económicas de las altas latitudes y puede que influencien el clima y la circulación oceánica.
Shifts in Weather Patterns Vary by Region
Decisions about water use will have to reflect changing trends in the local hydroclimate.
The Challenges of Forecasting Small, But Mighty, Polar Lows
These intense maritime storms pose threats to high-latitude coastal communities and economic activities and may influence climate and ocean circulation.
Improving Weather Simulations Through Increased Generality
By adding support for spatially variable velocity fields and anisotropy, the CoSMoS simulation package can more accurately reproduce physical phenomena.