This paper has been authored by employees of Brookhaven Science Associates, LLC, under Contract DE-AC02-98CH10886 with the U.S. Department of Energy. The publisher by accepting the manuscript for publication acknowledges that the U.S. government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for U.S. government purposes. Doctor Giangrande's work is supported by the Climate Science for a Sustainable Energy Future project of the Earth System Modeling (ESM) program in the DOE Office of Science. Doctor McGraw's support is from the FASTER project (http://www.bnl.gov/faster/) supported by the DOE ESM program. The authors thank Drs. Alexander Ryzhkov (OU-NSSL), Michele Galletti (BNL), and Guifu Zhang (OU) for critical discussions throughout the writing process as well as the comments of several anonymous reviewers. Additional ARM radar dataset support and operational implementation were assisted by Dr. Scott Collis (ANL). A version of the LP-based method described by this manuscript and all associated datasets are freely available online (http://www.arm.gov) and as part of the open-source Python ARM Radar Toolkit.
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