Development of Value-Added Products from the Scanning ARM Cloud Radar (SACR) Systems
Authors
Michael Jensen — Brookhaven National Laboratory
Karen Lee Johnson — Brookhaven National Laboratory
Scott Matthew Collis — Argonne National Laboratory
Jonathan Helmus — Argonne National Laboratory
Ieng Jo — McGill University
Katia Lamer — Brookhaven National Laboratory
Pavlos Kollias — Stony Brook University
Giri Prakash — Oak Ridge National Laboratory
Aleksandra Tatarevic — McGill University
Category
ARM Infrastructure
Description
A summary of the algorithms and development activities for the Ka-, W- and X-band scanning ARM cloud radar system value-added products (VAPs) is presented. Initial development efforts are aimed at providing feature masking and correction of moments for individual radar frequencies. We discuss the relevant algorithms and provide examples of the expected products. A primary product is the significant feature mask. A robust masking algorithm differentiates hydrometeors and other significant returns (insects, ground clutter, second trip echoes) from radar receiver noise. Interpolated soundings are incorporated into the VAP to enable the estimation of water vapor attenuation and perform the associated reflectivity corrections. Sounding-derived winds are used as a first guess of horizontal winds in the unfolding of aliased mean Doppler velocities. Second trip echoes are identified and removed. A user-friendly visualization system will also be discussed.The expected timeline for VAP development will also be outlined.Lead PI
Michael Jensen — Brookhaven National Laboratory