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 …

Forecasts of the amount and geographic distribution of snow are highly sensitive to a
model's parameterization of hydrometeor fallspeed. Riming is generally thought to lead to …

In situ observations of cloud properties made by airborne probes play a critical role in ice
cloud research through their role in process studies, parameterization development, and …

We describe a novel data-processing and analysis pipeline for optical observations of
moving objects, either of natural (asteroids, meteors) or artificial origin (satellites, space …

During typical field campaigns, millions of cloud particle images are captured with imaging
probes. Our interest lies in classifying these particles in order to compute the statistics …

The shape of ice crystals affects their radiative properties, growth rate, fall speed, and
collision efficiency; thus, it plays a significant role in cloud optical properties and …

The airborne two-dimensional stereo (2D-S) optical array probe has been operating for
more than 10 yr, accumulating a large amount of cloud particle image data. However, due to …

We present detailed airborne in situ measurements of cloud microphysics in two midlatitude
cirrus clouds, collected as part of the Cirrus Coupled Cloud‐Radiation Experiment. A new …

The cloud particle concentration, size and shape data from optical array probes (OAPs) are
routinely used to parameterise cloud properties and constrain remote sensing retrievals …

Light scattering by particles large compared to the wavelength of incident light is traditionally
solved using ray optics which considers absorption inside the particle approximately, along …