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Summary of the High Ice Water Content (HIWC) RADAR Flight Campaigns

National Center for Atmospheric Research (NCAR)-Aaron Bansemer
AMA-NASA Langley Research Center-Justin Strickland, Patricia Hunt
Published 2019-06-10 by SAE International in United States
NASA and the FAA conducted two flight campaigns to quantify onboard weather radar measurements with in-situ measurements of high concentrations of ice crystals found in deep convective storms. The ultimate goal of this research was to improve the understanding of high ice water content (HIWC) and develop onboard weather radar processing techniques to detect regions of HIWC ahead of an aircraft to enable tactical avoidance of the potentially hazardous conditions. Both HIWC RADAR campaigns utilized the NASA DC-8 Airborne Science Laboratory equipped with a Honeywell RDR-4000 weather radar and in-situ microphysical instruments to characterize the ice crystal clouds. The purpose of this paper is to summarize how these campaigns were conducted and highlight key results.The first campaign was conducted in August 2015 with a base of operations in Ft. Lauderdale, Florida. Ten research flights were made into deep convective systems that included Mesoscale Convective Systems (MCS) near the Gulf of Mexico and Atlantic Ocean, and Tropical Storms Danny and Erika near the Caribbean Sea. The radar and in-situ measurements from these ten flights were analyzed…
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On the confluence of mesoscale meteorological research and urban air pollution applications

National Center for Atmospheric Research (NCAR)-Walter F. Dabberdt
  • Technical Paper
  • 1999-23-0049
Published 1999-05-31 by Technical University of Graz in Austria
The past two decades have seen significant advances in mesoscale meteorological research and applications, such as the development of sophisticated and now widely used advanced mesoscale prognostic models, large eddy simulation models, four-dimensional data assimilation, adjoint models, adaptive and targeted observational strategies, and ensemble or probabilistic forecasts. Some of these advances have made their way into the urban air quality modeling and applications. Three high-priority air quality issues for the near-to-intermediate future are likely to be: (1) routine operational forecasting of adverse air quality episodes; (2) real-time high-level support to emergency response activities; and (3) quantification of model uncertainty. This paper discusses these issues and also illustrates quantification of the application of ensemble simulations and model uncertainty to the problem of dispersion modeling in support of emergency response through the use of an actual event involving the accidental release of the toxic chemical oleum.