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Improving Quality Control of Multi-Radar Multi-Sensor Products

The Multi-Radar Multi-Sensor (MRMS) Hydrometeorology Testbed - Hydro (hereafter denoted as HMT-Hydro) experiment is a part of the United States Weather Research Program (USWRP) through the Hydrometeorology Testbed (HMT) that runs from 24 June to 19 July 2019. During the HMT-Hydro experiment, forecasters and hydrologists from the National Weather Service (NWS) will work with National Severe Storms Laboratory (NSSL) research scientists to explore new technology and techniques to improve the prediction and warning of flash flooding. In particular, NWS participants will evaluate new probabilistic hydrologic modeling concepts and output within the Flooded Locations and Simulated Hydrographs (FLASH) system that could help convey the uncertainty of the flash flood threat. NWS participants will also evaluate high resolution precipitation forecasts from the NSSL Warn-on-Forecast (WoF) project and the addition of these forecasts into the FLASH system. Feedback from participants will allow NSSL research scientists to identify how these high spatio-temporal resolution precipitation forecasts could influence the warning decision making process, including the potential for increased warning lead time. Evaluations of the various probabilistic data sets will provide further understanding on the usability and effectiveness of these products, as well as guide future efforts of the Forecasting A Continuum of Environmental Threats (FACETs) project for flooding hazards. The HMT-Hydro experiment runs in conjunction with the Flash Flood and Intense Rainfall (FFaIR) experiment at the Weather Prediction Center (WPC) to collaborate on the short-term forecasting of flash flooding for both a national and regional scale.

With a focus on upgrading the quality control algorithm for the Multi-Radar Multi-Sensor (MRMS) system, this project aims to allow the MRMS system to more effectively identify and filter non-meteorological artifacts from the radar data. This will eliminate these non-meteorological artifacts from transferring into final radar data products that serve operational end users across aviation, severe weather, and numerical weather prediction.

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