The 4-D data assimilation (FDDA) is optimized for the Tropospheric Airborne Meteorological Data Reporting (TAMDAR) sensor, which measures humidity, pressure, temperature, winds aloft, icing, and turbulence, along with the corresponding location, time, and altitude from built-in GPS. These observations are transmitted in real time to a ground-based network operations center via a global satellite network.
Preliminary verification results suggest that the proper assimilation of the TAMDAR data improves the analyses and forecasts of the NCAR-AirDat operational forecasting system. Overall statistics, as well as multiple cases of severe weather outbreaks, will be presented for both the 2011 and 2012 spring convective seasons.