328 Recent Upgrads to East China ATMB High Resolution Aviation Weather Forecast Capability: Real-Time Operation of eIAWSTM-R3R

Monday, 8 January 2018
Exhibit Hall 3 (ACC) (Austin, Texas)
Jing Cheng, IMSG, Rockville, MD; and S. Liu, Y. Weng, J. M. García-Rivera, Y. Li, W. Guo, Q. Xing, Q. Shi, X. Li, Z. Chen, X. Wang, and L. Jiang

The East China Air Traffic Management Bureau (EC ATMB) handles one of the busiest airspace corridors in the world. Shanghai reached new records in 2016 with 100 million passengers, which makes it one of the top five busiest airports following London, New York, Tokyo and Atlanta. However convective storms cause a significant problem in East China during summer time by contributing to delays and reducing safety and efficiency. Aimed at improving strategic air traffic management (ATM) decision-making with more accurate 2 to 9 hours’ weather forecasting, the Enterprise Integrated Aviation Weather System (eIAWS™), en-Route Service Function uses the Regional Rapid-Refresh (eIAWS-R3R) modeling framework as a state-of-the-art solution. Adopting the Non-hydrostatic Multiscale Model on the B-grid (NMMB) as its mesoscale modeling core, and ingesting conventional and radar observation hourly through Gridpoint Statistical Interpolation (GSI) platforms, the results are expected to provide hourly high resolution (3 km) forecasts for regional airspace covering both East China airport terminals and regional flight routes. Fully implemented in May 2017 and upgrades several times, the eIAWS-R3R is now in real time operation at EC ATMB. With the unprecedented level of aviation weather forecast information provided by eIAWS-R3R, professional forecasters and air traffic controllers at EC ATMB are able to improve the operational efficiency while maintaining air traffic safety. After several months of real-time operation, the performance of the eIAWS-R3R during the convective season in East China will be evaluated for further tailoring of the eIAWS for optimal performance in customer environment other than that of U.S. The issues and problems encountered during system customization, utilization and collaboration with forecasters in EC ATMB will be discussed too.
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