Wednesday, 6 August 2003
Radar Data Assimilation For Real-time Short term Forecasting of Snowbands
A mesoscale, real-time four-dimensional data assimilation and
short-term forecasting system (RTFDDA) has been developed at NCAR.
Built upon a high-resolution MM5, the RTFDDA system continuously
assimilates available observations from various sources and provides
updated 3-dimensional analyses and short-term forecasts every 3 hours.
The system is now being adapted for real-time, short term forecast
of snowbands in the airport terminal area by adding a radar data
In this work, feasibility of using the RTFDDA system for snowband
forecasting is investigated. Techniques that can effectively
assimilate real-time radar data into MM5 are explored. Case studies
are conducted for snowstorm events that occurred in northeastern U.S.
Both Level 2 and Level 3 WSR-88D radar observations are assimilated.
A series of forecasting experiments are conducted to search for the
optimal strategies for radar data assimilation in an operational setting.
Results from these experiments will be presented at the conference.