Real-time Boundary Layer Profiling at SGP
18 June 2018 - 20 July 2018
Lead Scientist: David Turner
The National Research Council has argued that the Nation needs to establish a boundary layer profiling network across CONUS; these observations would benefit a wide range of applications including short-term severe weather forecasting by providing better initial conditions for weather prediction models. ARM has established a prototype network in the SGP, with 5 sites able to provide high temporal resolution (better than 5 min) profiles of temperature and humidity (retrieved from the AERI) and wind (from the Doppler Lidar) profiles.
NOAA has funded two projects to evaluate the impact of assimilating these profiles into real-time forecasts by the Weather Research and Forecasting (WRF) model. The two NOAA projects have different foci: one is aimed at better precipitation forecasts while the other hopes to improve the prediction of severe weather. This campaign is enabling these investigations by making these boundary layer profiling observations available in real-time.