Assimilation of Aeolus winds in the ECMWF analyses and forecasts improves the Kelvin Waves representation and forecasts in the tropical tropopause layer.
A novel approach to weather forecasting uses convolutional neural networks to generate exceptionally fast global forecasts based on past weather data.
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 of representing microphysical uncertainty in convective-scale data assimilation reduces biases in model states and improves the accuracy of short-term precipitation forecasts.
Global warming is projected to alleviate PM2.5 pollution in Delhi by decreasing pollution-favorable weather days and increasing clean-favorable weather days.
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.
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.
Decisions about water use will have to reflect changing trends in the local hydroclimate.
These intense maritime storms pose threats to high-latitude coastal communities and economic activities and may influence climate and ocean circulation.
By adding support for spatially variable velocity fields and anisotropy, the CoSMoS simulation package can more accurately reproduce physical phenomena.