Cloud and precipitation processes are still the main source of uncertainties in numerical
weather prediction and climate change projections. The Priority Program" Polarimetric …

Recently published studies of triple‐frequency radar observations of snowfall have
demonstrated that naturally occurring snowflakes exhibit scattering signatures that are in …

Forward models are a key tool to generate synthetic observations given knowledge of the
atmospheric state. In this way, they are an integral part of inversion algorithms that aim to …

A Dual-Polarization Radar Hydrometeor Classification Algorithm for Winter Precipitation in:
Journal of Atmospheric and Oceanic Technology Volume 31 Issue 7 (2014) Jump to …

Retrievals of ice and snow are made from Ka‐and W‐band zenith‐pointing Doppler radars
at Hyytiälä, Finland, during the snow experiment component of the Biogenic Aerosols …

The link between stratiform precipitation microphysics and multifrequency radar observables
is thoroughly investigated by exploiting simultaneous airborne radar and in situ observations …

A new method to automatically classify solid hydrometeors based on Multi-Angle Snowflake
Camera (MASC) images is presented. For each individual image, the method relies on the …

Abstract The Predicted Particle Properties (P3) bulk microphysics scheme has been recently
modified to combine the two major innovations. The triple‐moment approach to represent …

Airborne in-situ cloud measurements were carried out over the northern Fram Strait between
Greenland and Svalbard in spring 2019 and summer 2020. In total, 815 minutes of low-level …

This article focuses on the characteristics of persistent thin single‐layer mixed‐phase
clouds. We seek to answer two important questions:(i) how does ice continually nucleate …