The APR-2 algorithm suite and the GRIP experiment dataset

The Ku-/Ka-band, Doppler, scanning, polarimetric airborne radar, known as the Airborne Dual-Frequency Precipitation Radar (APR-2), collected most of its data during 4 major campaigns (Wakasa Bay, Japan 2003; NAMMA, Cape Verde 2006; and TC4, Costa Rica 2007 and Genesis and Rapid Intensification Processes, GRIP 2010). The APR-2 suite of processing and retrieval algorithms (ASPRA) was upgraded during the GRIP experiment to produce improved L1 products in real time, microphysical classification and retrievals, and wind intensity estimates. In this presentation we will discuss the APR-2 dataset produced during GRIP and the ASPRA, focusing on a) the improvements to ASPRA to enhance the retrieval algorithms to produce high-resolution retrieved three-dimensional fields of microphysical properties, b) the improvements aiming at the production of cross-track wind intensity estimates (used in GRIP to detect genesis and hurricane intensity), and c) the use of the APR-2 dataset to prepare the observational database of surface scattering and path attenuation statistics expected from the GPM DPR (Global Precipitation Measurement mission, Dual-Frequency Precipitation Radar). Most of the enhancements pertain the representation of mixed phase particles and clouds and take advantage of advanced models for scattering properties and detailed analysis of in-situ data to characterize the a priori assumptions included in the retrieval process. The whole APR-2 dataset will then be used in GPM algorithm development and validation.