Date post: | 28-Dec-2015 |
Category: |
Documents |
Upload: | dennis-terry |
View: | 214 times |
Download: | 1 times |
Sensitivity of PBL Parameterization on
Ensemble Forecast of Convection Initiation
Bryan Burlingame
M.S. Graduate Research Assistant
University of Wisconsin-Milwaukee
http://derecho.math.uwm.edu/~bmburlin/
Clark Evans - UWM
Paul Roebber - UWM
Ryan Torn – SUNY Albany
Glen Romine - UCAR
OverviewGoalWhat is CI, and how we define
it?Model configuration and toolsPreliminary results/findings
Convection Initiation (CI)Requirements:
Reflectivity ≥ 35 dBZ at the -10 C isotherm for 30 minutes (Gremillion & Orville 1999)
Observed CI objects:42 Radars in Central US (111 to 93 W, 27 to 50
N)Warning Decision Support System -- Integrated
Information (WDSS-II)Tracking Algorithm (V. Lakshmanan 2009,2010)
Used in both observed and modelled CI
WRF Configuration
WRF V3.4.115-3km Nest, Thompson MP, RRTMG LW & SWFive - 30 member Convective Allowing EnsemblesVarying PBL scheme
15 hour simulations (15-06z)Modifications to interpolate Reflectivity to -10 C
isotherm
PBL SchemesFive PBL Schemes used:
Non-LocalACM2 (Asymmetric Convective Model 2)YSU (Yonsei University)
LocalMYJ (Mellor-Yamada-Janjic)QNSE (Quasi-Normal Scale Elimination)MYNN2.5 (Mellor-Yamada-Nakanishi-Niino level 2.5)
3 CasesMay 19-20, 2013
Deep trough SW flow into PlainsInitiation along boundaries
May 31-June 1, 2013 500mb cutoff lowWesterly winds into the plains June 8-9, 2013Ridge in Pacific NWNW flow into the Central
Plains. Minimal initiation
Forecast VerificationVerified against observed CI
Domain – 2000 J/kg CAPE field18z RAP (13km) 00 hour analysis
5 Time and Space bins40 km/1 hour80 km/1.5 hour120 km/2 hour160 km/2.5 hour200 km/3 hour
(Van Klooster and Paul J. Roebber 2009) – Figure 1
Forecast Verification
(Roebber 2009)
Brier Skill ScorePerformance Diagram
POD vs SR (1-FAR)Bias (Blue)Critical Success Index (Black)
ConclusionsForecasts overproduce initiation events
Overproduce in areas of less instabilityPBL schemes too energetic??
In area of high probability of convective occurrence:All forecasts verified well within 80km / 1 hour
References Adam J. Clark, Michael C. Coniglio, Brice E. Coffer, Greg Thompson, Ming Xue, and Fanyou Kong, 2015: Sensitivity of
24-h Forecast Dryline Position and Structure to Boundary Layer Parameterizations in Convection-Allowing WRF Model Simulations. Wea. Forecasting, 30, 613–638.
Ariel E. Cohen, Steven M. Cavallo, Michael C. Coniglio, and Harold E. Brooks, 2015: A Review of Planetary Boundary Layer Parameterization Schemes and Their Sensitivity in Simulating Southeastern U.S. Cold Season Severe Weather Environments. Wea. Forecasting, 30, 591–612.
Michael C. Coniglio, James Correia Jr., Patrick T. Marsh, and Fanyou Kong, 2013: Verification of Convection-Allowing WRF Model Forecasts of the Planetary Boundary Layer Using Sounding Observations. Wea. Forecasting, 28, 842–862.
Gremillion M.S. and R.E. Orville 1999: Thunderstorm characteristics of cloud-to-ground at the Kennedy 146 Space Center, Florida: A study of lightning initiation signatures as indicated by the WSR-88D. 147 Wea. Forecasting, 14, 640-649.
V. Lakshmanan, K. Hondl, and R. Rabin, “ An efficient, general-purpose technique for identifying storm cells in geospatial images,'' J. Ocean. Atmos. Tech., vol. 26, , no. 3, pp. 523-37, 2009
V. Lakshmanan and T. Smith, “ An objective method of evaluating and devising storm tracking algorithms,'' Wea. and Forecasting, pp. 721-729, vol. 29 no. 3, 2010.
Paul J. Roebber, 2009: Visualizing Multiple Measures of Forecast Quality. Wea. Forecasting, 24, 601–608
Sara L. Van Klooster and Paul J. Roebber, 2009: Surface-Based Convective Potential in the Contiguous United States in a Business-as-Usual Future Climate. J. Climate, 22, 3317–3330