Deadline for manuscript submissions: 30 April 2020.

Dear Colleagues,

Atmosphere dedicates this Special Issue to the precipitation particle size distribution (PSD). PSD is the fundamental metric that describes rain and snow. Knowledge of how raindrops and snowflakes as well as other hydrometeors are distributed within the atmosphere enables more precise hydrometeorological forecasts, more accurate remote sensing, and better characterization of their erosive effect on soil and materials. The measurement and modeling of precipitation particles dates to the mid-20th century, with much of this research scattered through various publications. This Special Issue brings together research on the PSD of both rain and snow, highlighting some key advances made in their measurement and modeling in the past decade, with a particular focus on remote sensing and cloud-resolving models.

Since precipitation plays a vital role within the Earth system, its depiction in remote sensing and numerical weather prediction is of great importance to better understanding and predicting weather and climate. Hence, we invite you to contribute articles to this Special Issue by reporting on current research entailing the measurement of precipitation particle sizes, both in situ and via remote sensing, as well as modeling of the precipitation PSD, including its representation by statistical models and parameterization in cloud-resolving models.

Dr. Patrick Gatlin
Dr. Merhala Thurai
Dr. Christopher Williams
Dr. Elisa Adirosi
Guest Editors