Aerosol impacts on climate change are still poorly understood, in part, because the few observations and methods for detecting their effects are not well established. For the first time, the enhancement in cloud albedo is directly measured on a cloud-by-cloud basis and linked to increasing aerosol concentrations by using multiple autonomous unmanned aerial vehicles to simultaneously observe the...

Deep convective clouds (DCCs) play a crucial role in the general circulation, energy, and hydrological cycle of our climate system. Aerosol particles can influence DCCs by altering cloud properties, precipitation regimes, and radiation balance. Previous studies reported both invigoration and suppression of DCCs by aerosols, but few were concerned with the whole life cycle of DCC. By conducting ...

As a first step in evaluating the realism of the model-simulated cloud fields, the observed and simulated 11 μm MODIS brightness temperatures are shown above. A detailed comparison indicates that the PBL and cloud microphysics schemes both exert a strong influence on the spatial distribution of the simulated clouds. For instance, compared to the WSM6 and PLIN simulations, the upper-level cloud ...

Bartman et al., (2022). PySDM v1: particle-based cloud modeling package for warm-rain microphysics and aqueous chemistry. Journal of Open Source Software, 7(72), 3219, https://doi.org/10.21105/joss.03219

cumulus parameterization in numerical weather prediction models can significantly affect severe weather forecasts, such as hurricanes, flash floods, and winter storms. the role of convection is essential in stabilizing an unstable atmosphere through vertically transferring moisture, energy, chemical species and momentum. cumulus parameterization schemes use simple one-dimensional convective clo...