Saving Lives & Property...
The National Severe Storms Laboratory serves the nation by working to improve the leadtime and accuracy of severe weather warnings and forecasts in order to save lives and reduce property damage. NSSL scientists are committed to their mission to understand the causes of severe weather and explore new ways to use weather information to assist National Weather Service forecasters and federal, university and private sector partners.
At NSSL, our basic and applied research focuses on understanding severe weather processes, developing weather observation technology, and improving forecast tools, with emphasis on:
- WEATHER RADAR
- HYDROMETEOROLOGY
- FORECAST & WARNING IMPROVEMENTS
NSSL News Items
April 12th Reddit AMA: What’s On the Radar? | Talk Weather Research with NOAA
When severe weather strikes anywhere in the United States, weather radar is one of the most important tools forecasters use to track storms and warn the public. The current system,…
Women of NSSL: Kodi Berry
To celebrate Women’s History Month in March NOAA National Severe Storms Laboratory is publishing a series of stories highlighting some women working at the lab. Kodi Berry is a research scientist and Sea Grant liaison for the Cooperative Institute for Mesoscale Meteorological Studies working at NSSL. Berry, who also serves as the executive officer of the NOAA Hazardous Weather Testbed, completed her doctorate from the University of Oklahoma in 2014.
Women of NSSL: Linda McGuckin
To celebrate Women’s History Month in March NOAA National Severe Storms Laboratory is publishing a series of stories highlighting some women working at the lab. One Q&A segment will be…
NOAA Hazardous Weather Testbed starts with HS-PHI experiment
The NOAA Hazardous Weather Testbed is once again busy buzzing with activity as researchers kick off the year’s first research activities. From March 12-16, participants will assess a new tool using rapid-updating, high-resolution Probabilistic Hazard Information, known as PHI. HS-PHI is testing an experimental concept for delivering information to the public in a way that simulates how National Weather Service forecasters would use it within their software.