1 / 44

Visually Enhanced Composite Charts for Severe Weather Forecasting and Real-time Diagnosis

Visually Enhanced Composite Charts for Severe Weather Forecasting and Real-time Diagnosis. Josh Korotky NWS Pittsburgh PA NROW Annual Meeting 2002. Agenda. Composite Chart Approach and Diagnostic Templates A Case study LES 4 Panels Cyclogenesis 4 Panels GFS .

mayes
Download Presentation

Visually Enhanced Composite Charts for Severe Weather Forecasting and Real-time Diagnosis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Visually Enhanced Composite Charts for Severe Weather Forecasting and Real-time Diagnosis Josh Korotky NWS Pittsburgh PA NROW Annual Meeting 2002

  2. Agenda • Composite Chart Approach and Diagnostic Templates • A Case study • LES 4 Panels • Cyclogenesis 4 Panels • GFS

  3. The real atmosphere has great difficulty simulating the model atmosphere……many good forecasts will continue to be ruined by atmospheric error! The Forecaster’s Paradox

  4. Motivation • Due to the growing volume of available data… • …and the time intensive process of generating / disseminating forecast and warning products… • …it is critical that forecasters extract relevant information quickly before and during severe weather forecast and warning operations • Diagnostic and forecast methods that use visualization to highlight essential physical processes … • Promote a better (and quicker) understanding of the real-time potential • Allow forecasters to better anticipate the most probable range of convective evolutions for a given environment

  5. Composite Chart Approach • Effective composite charts: • Highlight important information….not all information • Reveal the physical processes that promote severe storm development, convective organization, and storm mode • Lead to quick recognition of the convective potential • Composite chart contents include: • Measures of instability and vertical wind shear • 3D moisture content, distribution, and availability • Synoptic and mesoscale forcing mechanisms • Charts are enhanced visually by managing colors, images, and contours

  6. Evaluating the Convective Potential

  7. Composite Chart Model Diagnostic Templates

  8. Low – level Features

  9. Upper – level Features

  10. RUC Analysis

  11. A Case Study • Highlights a severe convective wind event that effected parts of Ohio, Pennsylvania, West Virginia, New York, and Maryland on 9 March 2002 • Composite charts of model forecast fields (Eta) are supplemented with composite charts of hourly RUC surface analysis • Eta for evaluating large scale convective potential • Hourly RUC provides a critical link to the model forecasts

  12. 850mb Wind (kt) and Normalized Vcomp Wind Anomaly 08/12 UTC Eta: 33hr Forecast Valid 3/9/02 - 21 UTC 4 – 4.5 SD

  13. 850mb Wind and Normalized Vcomp Wind Anomaly 27hr Forecast Valid 3/9/02 - 21 UTC > 4.5 SD

  14. Upper and Low-level Features • 33, 21, 9 hr forecasts valid at 21 UTC 9 March

  15. Upper-level Features - 08/12 UTC Eta 33hr Forecast Valid 3/9/02 - 21 UTC

  16. Low-level Features - 08/12 UTC Eta 33hr Forecast Valid 3/9/02 - 21 UTC

  17. Upper-level Features – 09/00 UTC Eta 21hr Forecast Valid 3/9/02 - 21 UTC

  18. Low-level Features – 09/00 UTC Eta 21hr Forecast Valid 3/9/02 - 21 UTC

  19. Upper-level Features – 09/12 UTC Eta 9hr Forecast Valid 3/9/02 - 21 UTC

  20. Low-level Features – 09/12 UTC Eta 9hr Forecast Valid 3/9/02 - 21 UTC

  21. Summary of the Large Scale Potential Successive runs of the Eta indicate: • Deep layer of strong flow • 65 – 70 kts at 850mb over Ohio Valley • Significant vertical wind shear associated with vigorous low-level jet • SRH 400 – 500 m2s2 • 0-3km normalized shear > .014 s-1 • Moderate moisture • Warm sector surface dew points 55 – 57oF • Narrow layer of deep moisture • Potential for cloud breaks ahead of front • Destabilizing potential

  22. Summary of the Large Scale Potential • Considerable low-level forcing • Strong moisture flux convergence • Strong frontogenesis along a vigorous frontal system • Significant pressure rise/fall couplet indicates deepening/dynamic system • 10mb/3hr pressure rises behind front • 8mb/3hr pressure falls ahead of front • But….only marginal instability • CAPE forecast to remain less than 500 jkg-1 • Best Lifted Index (BLI) expected to reduce no further than -2

  23. A Range of Expectations • Expectations • Strong linear forcing will promote a narrow low-topped squall line • Isolated/scattered wind damage the primary threat … unless the real-time environment destabilizes more than indicated • The real time challenge • Do observations / RUC / LAPS analysis indicate greater instability? • Greater instability would indicate more widespread severe potential

  24. Real Time RUC Surface Analysis3/9/02/ 18 UTC – 3/9/02/ 21 UTC Linking the model forecast to real-time events…

  25. 18 UTC RUC Analysis

  26. 19 UTC RUC Analysis

  27. 20 UTC RUC Analysis

  28. RUC / Observational Summary at 20 UTC • The moisture, forcing, vertical wind shear, pressure pattern, and pressure tendency substantiate initial expectations… • The environment has destabilized more than expected !! • Observations • Winds gusting mid 30s kts ahead of front • Radar indicated a developing low-topped narrow squall line • Reports from CLE and ILN indicated wind gusts > 80 mph and wind damage associated with convective line • New Expectations • With indications of greater instability and real-time reports… • Damage is going to be widespread rather than scattered/isolated • Damage will be from winds…low probability of tornadoes

  29. 23 UTC Radar and Satellite

  30. Conclusions • A narrow, low-topped squall line produced significant wind damage throughout the NWS PBZ CWA • Forecast (Eta) and diagnostic (RUC) methods that combine science and visualization… • Allowed forecasters to better anticipate the most probable range of convective evolutions before the event • Promoted a better (and quicker) understanding of the changing convective potential during the event • Contributed to more effective warning decisions.

  31. LES 4 Panels

  32. Low – level Features

  33. Low-level Features – Valid 00 UTC

  34. Low-level Features – Valid 00 UTC

  35. Low-level Features – Valid 12 UTC

  36. Low-level Features – Valid 12 UTC

  37. Cyclogenesis 4 Panels

  38. Upper-level Features – Valid 21 UTC 16 Oct 2002

  39. Low-level Features – Valid 21 UTC 16 Oct 2002

  40. GFS

More Related