Meet Charles Kuster, who played an instrumental role in PARISE and is helping develop rapid-scan radar at NSSL!
Tag: PARISE
Eye Tracking Technology at NSSL
Eye tracking technology has many uses for NSSL researchers. Learn more about how they are using this tool.
Gab at the Lab: Pam Heinselman
Pam Heinselman came to the NOAA National Severe Storms Laboratory in 1995 as a scientist with the University of Oklahoma’s Cooperative Institute for Mesoscale Meteorological Studies. She grew up in Westminster, Maryland, and completed her…
2015 PARISE Experiment
This week, researchers from NOAA’s National Severe Storms Laboratory will launch the 2015 Phased Array Radar Innovative Sensing Experiment to assess the impacts of rapidly updating radar data on forecasters’ warning decision performance. The project…
Impacts of Phased Array Radar Data on Forecaster Performance during Severe Hail and Wind Events
Early online release 1/13/15 Journal: Weather and Forecasting Impacts of Phased Array Radar Data on Forecaster Performance during Severe Hail and Wind Events Katie A. Bowden, Pamela L. Heinselman, Darrel M. Kingfield, and Rick P.…
2013 NOAA National Weather Radar Testbed Spring Experiments
During the 2013 central Oklahoma severe weather season, researchers will demonstrate and evaluate new capabilities developed for the NOAA National Weather Radar Testbed Phased Array Radar (NWRT/PAR).
Phased array radar Spring 2012 projects
The NOAA National Weather Radar Testbed Multi-function Phased Array Radar will support three experiments with data collection during the spring of 2012 as part of the National Severe Storms Laboratory (NSSL) Phased Array Radar Innovative Sensing Experiment (PARISE).
PAR Captures Long-lived Tornado in May 24, 2011 Outbreak
The tornado outbreak forecasted by the NOAA Storm Prediction Center and the National Weather Service Forecast Office in Norman, Oklahoma became a reality as five damage-producing tornadoes struck central Oklahoma between 3 pm and 7…
New enhanced radar scanning strategy to be tested
Focused observations of storms lead to faster updates since the radar does not waste time scanning clear-air regions.
NSSL prepares for first study of operational impacts of faster radar data
NSSL will conduct the first experiment to directly compare how forecasters issue warnings based on data provided at current radar update rates, with warnings issued based on faster data updates provided by Phased Array Radar (PAR).