Research Scanning Polarimeter (RSP) cloud optical property neural network algorithm Algorithm Theoretical Basis Document (ATBD), ORACLES field campaign

This document describes a dataset of cloud optical properties generated from the airborne Research Scanning Polarimeter (RSP) remote sensing observations during the multi-year Observations of Aerosols above Clouds and their Interactions (ORACLES) field campaign. The algorithm is based on a Neural Network (NN) that has been trained on modeled clouds as they would be observed by RSP for a variety of conditions, and is described in Miller et al. (2020). This is the second version of this product (denoted V2), an earlier version (V1) is described in Segal-Rozenhaimer et al., (2018). Note that in the file naming convention, revisions numbers start at R0, indicating that these are the first files submitted to the ESPO or ASDC archives. This algorithm takes as input multi-angle polarimetric measurements in seven visible, nearinfrared and short-wave infrared channels and produces an estimate of Cloud Optical Thickness (t) and cloud droplet size distribution Effective Radius (re).