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Two-year assessment of Nowcasting performance in the CASA system
- 1. TWO-YEAR ASSESSMENT OF NOWCASTING PERFORMANCE IN THE CASA SYSTEM Evan Ruzanski 1 , V. Chandrasekar 2 , and Delbert Willie 2 1 Vaisala, Inc., Louisville, Colorado, USA 2 Colorado State University, Fort Collins, Colorado, USA July 27, 2011
- 3. Introduction DARTS Algorithm System Architecture Data Results Conclusions Overarching CASA - Distributed Collaborative Adaptive Sensing (DCAS) Concept Intro M eteorological C ommand and C ontrol steers radars to scan when and where user needs are greatest NWS forecasters, emergency managers, researchers
- 4. Introduction DARTS Algorithm System Architecture Data Results Conclusions Intro NWS forecasters evaluate CASA data E. Bass and B. Philips, CASA researchers CASA data and products being used at the NWS Norman, Oklahoma, forecast office
- 5. DARTS Algorithm DARTS Algorithm System Architecture Data Results Conclusions Intro Discretize the general continuity equation using FFT Formulate linear system Solve linear system; recover motion estimates using IFFT E. Ruzanski, V. Chandrasekar, and Y. Wang, “The CASA Nowcasting System,” J. Atmos. Oceanic Technol. , vol. 28, no. 5, pp. 640–655, 2011.
- 6. System Architecture DARTS Algorithm System Architecture Data Results Conclusions Intro Real-time data transfer via LDM Data processing/nowcasting software development and evaluation The CASA radar network (KSAO, KCYR, KLWE, KRSP) System Operations Control Center (SOCC) and Meteorological Command and Control (MC&C) Nowcasting system operation
- 7. System Architecture DARTS Algorithm System Architecture Data Results Conclusions Intro Ingest Merge and Grid Nowcasting (DARTS) Radial reflectivity cuts from each CASA radar node MC&C LDM SOCC Internet Display
- 9. Results DARTS Algorithm System Architecture Data Results Conclusions Intro Example CASA observation and corresponding 10-min. prediction (web display)
- 10. Results DARTS Algorithm System Architecture Data Results Conclusions Intro Example CASA observation and corresponding 10-min. prediction sequences
- 11. Results DARTS Algorithm System Architecture Data Results Conclusions Intro (a) CSI, (b) POD, (c) FAR, (d) MAE scores for 2009–2010 events
- 13. Results DARTS Algorithm System Architecture Data Results Conclusions Intro MC&C observation 20090517-0246005 showing steering using previous observations (left) vs steering using previous observations and 5-min. DARTS nowcasts (right). The leading edge of the storm cut-off on the left. Leading edge missed without nowcasting Leading edge observed with nowcasting support Storm motion Storm motion