Performance of Precipitation Algorithms During IPHEx and Observations of Microphysical Characteristics in Complex Terrain

Monday, 14 December 2015: 11:20
3022 (Moscone West)
Jessica Marie Erlingis, University of Oklahoma Norman Campus, Norman, OK, United States, Jonathan J Gourley, National Severe Storms Lab, Oklahoma City, OK, United States, Pierre Kirstetter, University of Oklahoma Norman Campus, CIMMS, Norman, OK, United States, Emmanouil N Anagnostou, University of Connecticut, Department of Civil & Environmental Engineering, Groton, CT, United States, John A Kalogiros, National Observatory of Athens, Institute of Environmental Research & Sustainable Development, Athens, Greece and Marios Anagnostou, National Technical University of Athens (NTUA), Dept. of Water Resources and Env. Engineering, School of Civil Engineering, Marousi Athens, Greece
An Intensive Observation Period (IOP) for the Integrated Precipitation and Hydrology Experiment (IPHEx), part of NASA’s Ground Validation campaign for the Global Precipitation Measurement Mission satellite took place from May-June 2014 in the Smoky Mountains of western North Carolina. The National Severe Storms Laboratory’s mobile dual-pol X-band radar, NOXP, was deployed in the Pigeon River Basin during this time and employed various scanning strategies, including more than 1000 Range Height Indicator (RHI) scans in coordination with another radar and research aircraft. Rain gauges and disdrometers were also positioned within the basin to verify precipitation estimates and estimation of microphysical parameters. The performance of the SCOP-ME post-processing algorithm on NOXP data is compared with real-time and near real-time precipitation estimates with varying spatial resolutions and quality control measures (Stage IV gauge-corrected radar estimates, Multi-Radar/Multi-Sensor System Quantitative Precipitation Estimates, and CMORPH satellite estimates) to assess the utility of a gap-filling radar in complex terrain. Additionally, the RHI scans collected in this IOP provide a valuable opportunity to examine the evolution of microphysical characteristics of convective and stratiform precipitation as they impinge on terrain. To further the understanding of orographically enhanced precipitation, multiple storms for which RHI data are available are considered.