The Tropospheric Airborne Meteorological Data Reporting (TAMDAR) sensor 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.
The objectives of this study are to (i) optimize impacts that TAMDAR data may have on the WRF-ARW forecasting systems, (ii) quantify any gains in forecast skill provided by more precisely assimilating asynpotic observations, and (iii) monitor the accuracy, contribution, and health of the TAMDAR QA system.
Preliminary verification results suggest that the proper assimilation of the TAMDAR data improves the analyses and forecasts of the NCAR-AirDat operational forecasting systems. These findings will be presented for 2010