A team from NSSL will partner with the NOAA Hydrometeorological Testbed at the Weather Prediction Center to host the 1st annual Flash Flood and Intense Rainfall Experiment (FFaIR).
Forecast Research News
The Hazardous Weather Testbed Spring Forecast Experiment was in full operation on May 20, 2013 as the tornado tore through Newcastle and Moore, OK.
Today, researchers launched the Mesoscale Predictability EXperiment (MPEX) field project to collect data on pre-storm and post-storm environments in an effort to better predict where and when thunderstorms will form. MPEX runs from May 15 – June 15, and is funded by the National Science Foundation.
A team of scientists, including NSSL’s Dave Turner published a new study in Nature that showed how clouds over the central Greenland Ice Sheet last July were “just right” for driving surface temperatures there above the melting point.
High atop the Greenland Ice Sheet, cloudy skies portend warmer temperatures and higher winds. These clouds alter the surface energy budget, diminish the strong near-surface atmospheric stability, and precipitate ice crystal to the surface.
The NOAA National Severe Storms Laboratory (NSSL), in partnership with the University of Oklahoma and has launched an app where users can anonymously report precipitation from their iPhone or Android through the “mobile Precipitation Identification Near the Ground “mPING” app.
A NOAA National Severe Storms Laboratory (NSSL) scientist is leading an experiment to collect a comprehensive dataset on vertical turbulence and thermodynamic profiles in a portion of the lower atmosphere known as the boundary layer.
An NSSL microphysics scheme that will help forecast six different types of precipitation more accurately was included in the most recent update of the Weather Research and Forecasting (WRF) model.
A group of researchers, including NSSL’s Dave Stensrud, recently announced they plan to study the effects of cities on thunderstorms.
The 2012 Atlantic hurricane season will provide a valuable research opportunity for the Coastal and Inland-Flooding Observation and Warning Project (CI-FLOW).