Numerical prediction of aerosol particle properties has become an important activity at many
research and operational weather centers. This development is due to growing interest from …

The representations of clouds, aerosols, and cloud–aerosol–radiation impacts remain some
of the largest uncertainties in climate change, limiting our ability to accurately reconstruct …

Anthropogenic land use and land cover change, including local environmental disturbances,
moderate rates of wind‐driven soil erosion and dust emission. These human‐dust cycle …

Satellite aerosol optical depth (AOD) data assimilation (DA) using numerical air quality
forecast models has shown a limited improvement due to large uncertainties in the AOD …

We investigate the dust forecasts from two operational global atmospheric models in
comparison with in situ and remote sensing measurements obtained during the AERosol …

The extreme dust storm that affected the Middle East and the eastern Mediterranean in
September 2015 resulted in record-breaking dust loads over Cyprus with aerosol optical …

A data assimilation system for aerosol, based on an ensemble Kalman filter, has been
developed for the ECHAM–Hamburg Aerosol Model (ECHAM-HAM) global aerosol model …

Global climate models struggle to simulate both the convection and cloud ice fundamental to
lightning formation. We use the first convection‐permitting, future climate simulations for the …

The local strong sandstorms (LSS), similar to haboobs in Sahara and the North America,
often occur suddenly, in tens of minutes during the late afternoon, and before dusk in deserts …

Cold pool outflows (CPOs) are thought to be the most significant meteorological mechanism
of mineral dust emission from the world's largest source in the central and western Sahara in …