An Update on the TAMDAR Sensor Network Deployment
Neil A. Jacobs, AirDat LLC, Morrisville, NC; and P. Childs, M. Croke, Y. Liu, and X. Y. Huang
Lower and middle-tropospheric observations are disproportionately sparse, both temporally and geographically, when compared to surface observations. The limited density of observations is likely one of the largest constraints in mesoscale numerical weather prediction. Atmospheric observations collected by a multi-function in-situ atmospheric sensor on aircraft, called the Tropospheric Airborne Meteorological Data Reporting (TAMDAR) sensor, contain measurements of humidity, pressure, temperature, winds, icing, and turbulence, along with the corresponding location, time, and altitude from built-in GPS are relayed via satellite in real-time to a ground-based network operations center.
The TAMDAR sensor was first deployed in December 2004 on a fleet of 63 Saab 340s operated by Mesaba Airlines in the Great Lakes region as a part of the NASA-sponsored Great Lakes Fleet Experiment (GLFE). Over the last five years, the equipage of the sensors has expanded beyond CONUS to include Alaska and Mexico on Horizon, Republic, Chautauqua, Shuttle America, PenAir, Piedmont, Frontier Alaska, AeroMexico Connect and Mesaba Airlines, as well as a few research aircraft. Upon completion of the 2009 installations, more than 6000 daily soundings will be produced in North America.
An update will be provided on the status of the TAMDAR sensor network deployment and data availability, as well as an update on data quality, error statistics, and operational forecasting utility, directly from the TAMDAR soundings and through Weather Research and Forecasting (WRF) model products with various data assimilation techniques.
Extended Abstract (528K)
Session 8, Atmospheric observations for weather and climate: COSMIC/TAMDAR
Wednesday, 20 January 2010, 10:30 AM-12:00 PM, B207
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