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Science Question 3: Numerical Weather Prediction Aspects of Forecasting Alberta Thunderstorms

Science Question 3: Numerical Weather Prediction Aspects of Forecasting Alberta Thunderstorms. Jason Milbrandt Recherche en Prévision Numérique [RPN] (Numerical Weather Prediction Research Section), Meteorological Research Division, Environment Canada. OUTLINE of PRESENTATION

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Science Question 3: Numerical Weather Prediction Aspects of Forecasting Alberta Thunderstorms

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  1. Science Question 3:Numerical Weather Prediction Aspects of Forecasting Alberta Thunderstorms Jason Milbrandt Recherche en Prévision Numérique [RPN] (Numerical Weather Prediction Research Section), Meteorological Research Division, Environment Canada 1st UNSTABLE Science Workshop 18-19 April 2007

  2. OUTLINE of PRESENTATION • ISSUES related to high-resolution NWP • DEMONSTRATION of high-resolution simulations • SUB-QUESTIONS • CONCLUSION 1st UNSTABLE Science Workshop 18-19 April 2007

  3. Science Question 3 • Premise: • NWP part of UNSTABLE should focus on maximizing and improving the usefulness of high-resolution Canadian models as forecasting tools for severe convection • (with emphasis on storms that originate along the foothills)

  4. Science Question 3 Science Question 3: To what extent can high-resolution NWP models contribute to forecasting the initiation and development of severe convective storms that originate in the Alberta foothills? • That is: • How can the usefulness of the current GEM-LAM (2.5 km) forecasts be maximized? • How can the forecasts from the GEM-LAM be improved?

  5. ISSUES Pertaining to Science Question 3

  6. Science Question 3 • Issues Pertaining to Science Question 3: • (and high-resolution NWP in general) • DATA • - initial conditions of model are crucial • high-resolution data assimilation is a complex topic • research on development of high-resolution analyses is possible in context of UNSTABLE • - IOP data useful for verification (examination of sub-questions)

  7. Science Question 3 • Issues Pertaining to Science Question 3: • (and high-resolution NWP in general) • DATA • COMPUTATIONAL RESOURCES • high-resolution NWP is very expensive • resources are increasing •  This is a logical time to examine Science Question 3

  8. Science Question 3 • Issues Pertaining to Science Question 3: • (and high-resolution NWP in general) • DATA • COMPUTATIONAL RESOURCES • MODEL DETAILS • GEM is an appropriate tool for this job • non-hydrostatic, limited-area model (LAM), sophisticated physics • To be learned: • 1. modelling strategies • 2. improvements to physics parameterizations

  9. Science Question 3 • Issues Pertaining to Science Question 3: • (and high-resolution NWP in general) • DATA • COMPUTATIONAL RESOURCES • MODEL DETAILS • DETERMINISTIC vs. PROBABILISTIC • Use of any single model run is inherently deterministic • Analysis errors mean that a single high-resolution NWP run is doomed •  Ensembles of runs will ultimately need to be considered for high-resolution NWP

  10. EXAMPLES of simulated thunderstorms

  11. RADAR 14 July 2000 Pine Lake Storm Accumulated Precipitation Estimated from WMI radar: 4-km GEM simulation:* * Source: Erfani et al. (2003), Meteorol. Atmos. Phy.

  12. mm 40 30 25 20 16 13 10 8 6 4 50 km RADAR mm 30 25 20 15 10 5 50 km 14 July 2000 Pine Lake Storm Accumulated Precipitation Estimated from WMI radar: N 8:00 pm 1-km MC2 simulation:* N 8:00 pm 33 mm 1-km CNTR * Source: Milbrandt and Yau (2006a), J. Atmos. Sci.

  13. 16 km 16 km 40 km 40 km 750 hPa COMPOSITE Maximum: 63.6 dBZ Maximum: 60–65 dBZ dBZ 1-km MC2 Simulation* using detailed microphysics SIMULATION: 4:30 h [6:30 pm] RADAR: 0030 UTC [6:30 pm] dBZ 65 60 57 54 51 48 45 42 39 36 33 30 N N * Source: Milbrandt and Yau (2006a), J. Atmos. Sci.

  14. Equivalent Reflectivity (750 hPa) Reflectivity CAPPI (2 km) N 10 km 10 km 1-km MC2 Simulation* using detailed microphysics 1-km SIMULATION: 4:15 h [6:15 pm] RADAR: 0030 UTC [6:30 pm] N Source: Milbrandt and Yau (2006a), J. Atmos. Sci.

  15. SENSITIVITY EXPERIMENTS:Variations in microphysics scheme 700 hPa: Zeh[dBZ] Local time: 6:30 pm (Simulation time: 4:30 h) TRIPLE-MOMENT DOUBLE-MOMENT Diagnosed a SINGLE-MOMENT-A DOUBLE-MOMENT Fixed a = 0 Source: Milbrandt and Yau (2006b), J. Atmos. Sci.

  16. 35 14 25 13 23 34 SENSITIVITY EXPERIMENTS:Variations in microphysics scheme 6-h ACCUMLATED SOLID PRECIPITATION (Hail)[mm] TRIPLE-MOMENT DOUBLE-MOMENT Diagnosed a 9 9 10 SINGLE-MOMENT DOUBLE-MOMENT Fixed a = 0 Source: Milbrandt and Yau (2006b), J. Atmos. Sci.

  17. SENSITIVITY OF MICROPHYSICS SCHEME 4-category SINGLE-momentvs. 6-cateogory DOUBLE-moment: MC2_2.5 km: Kong-Yauscheme (nested from GEM15 output) “GRAUPEL” 429 mm h-1 RAIN [g kg-1] MC2_2.5 km: Milbrandt-Yauscheme (nested from GEM15 output) GRAUPEL HAIL 112 mm h-1 RAIN [g kg-1]

  18. SUB-QUESTIONS for Science Question 3

  19. Science Question 3 SUB-QUESTION A: What defines a “success” for a high-resolution simulation in terms providing useful numerical guidance from the current GEM-LAM-2.5 configuration? • The simulated storm structure may be realistic, but its track displaced; • The location of CI may be incorrect, but the type of storm that is forecast may be similar to the observed •  Success or a bust?

  20. Science Question 3 SUB-QUESTION B: How can the model’s ability to accurately simulate the general nature of the observed convection be quantified? • Once a “success” is defined, how can the general skill of the model be measured? • Important for evaluating the effects of changes to the model configuration

  21. Science Question 3 SUB-QUESTION C: Can the atmospheric state be classified a priorias “predictable” or “non-predictable” in terms of recommended use of the GEM-LAM-2.5 run to guide the forecast?

  22. Science Question 3 SUB-QUESTION D: How realistic are the simulated storm structures and microphysical fields? • Comparison to radar observations • (related to definition of “success”?)

  23. Science Question 3 SUB-QUESTION E: How realistic is the evolution of the boundary layer and surface processes in the foothill regions for the high-resolution model simulations? • Comparison to IOP observations • Sensitivity tests for hind-cast simulations

  24. Science Question 3 SUB-QUESTION F: Can deficiencies in the current physical parameterizations be identified? • Comparison to IOP observations • Sensitivity tests for hind-cast simulations

  25. Science Question 3 SUB-QUESTION G: What would be the effect of performing a subsequent nest to a higher-resolution (e.g. 1-km) grid, driven from the 2.5-km run? • dx = 2.5 km is INSUFFICIENT to fully resolve individual storms • Would the value added by a 1-km grid be worth the cost?

  26. Science Question 3 SUB-QUESTION H: Can an ensemble of high-resolution runs improve the prediction of convective initiation? • Modified ICs (different members from different 15-km driving runs) • Modified physical parameterizations/settings for 2-5 km runs

  27. Science Question 3 SUB-QUESTION I: Can a high-resolution analysis, created using the additional observations, improve the numerical prediction of convective initiation and subsequent storm development?

  28. CONCLUSION • Emphasis of NWP component of UNSTABLE is on maximizing and improving the utility of high-resolution NWP output as a forecast tool • Real-time 2.5-km runs will be done (and archived) by CMC for summers of 2007 and 2008 (and hopefully beyond…) • Investigation of several sub-questions can begin any time 1st UNSTABLE Science Workshop 18-19 April 2007

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