Evan Lowery Dr. Eric Hoffman Northeast Regional Operational Workshop IX - Northern New England thunderstorms pose a forecasting challenge - Large-scale flow has often been.
Download ReportTranscript Evan Lowery Dr. Eric Hoffman Northeast Regional Operational Workshop IX - Northern New England thunderstorms pose a forecasting challenge - Large-scale flow has often been.
Evan Lowery Dr. Eric Hoffman Northeast Regional Operational Workshop IX - Northern New England thunderstorms pose a forecasting challenge - Large-scale flow has often been used as a forecasting tool Few thunderstorm climatologies have been completed across northern New England - How does large-scale flow affect the development and intensity of northern New England thunderstorms during the warm-season months April – September (2003 – 2007)? How does large-scale flow affect the development and intensity of northern New England thunderstorms? Questions 1. How can thunderstorms be identified and monitored? 2. How can the pre-convective environment be analyzed? 3. How can large-scale flow be identified for each thunderstorm cell? 4. How can results be objectively analyzed? How does large-scale flow affect the development and intensity of northern New England thunderstorms? 1. How can thunderstorms be identified and monitored? “Vertically integrated liquid (VIL) water content of thunderstorms has been shown to be a good indicator for the potential of severe weather.” Winston and Ruthi (1986) Grasso and Hilgendorf (2001) a. cell-based or gridded VIL? b. VIL limitations c. VIL threshold for thunderstorms? d. Which radar product will be used? FIG 1: Miller (2007) How does large-scale flow affect the development and intensity of northern New England thunderstorms? 1. How can thunderstorms be identified and monitored? a. cell-based or gridded VIL? (VIL: cell-based) b. Limitations of VIL c. VIL threshold for thunderstorms? d. Which radar product will be used? 25 km 25 km 125km km 125 FIG 2: FMiller IG 3: and Brown Sirvakta (2000)(2007) How does large-scale flow affect the development and intensity of northern New England thunderstorms? 25 km from RDA 125 km from RDA FIG 4: VIL sampling region (25 – 125 km from KGYX) How does large-scale flow affect the development and intensity of northern New England thunderstorms? 1. How can thunderstorms be identified and monitored? a. cell-based or gridded VIL? (VIL: cell-based) b. VIL limitations? (Range: 25 – 125 km) c. VIL threshold for thunderstorms? d. Which radar product will be used? “VIL values in organized convective cells usually exceeded 10 kg m-2.” Kitzmiller et al. (1995) Brimelow (2006) “A VIL threshold of 25-30 kg m-2 was effective at correctly identifying those storms associated with the severe hail over central Alberta.” Brimelow (2006) How does large-scale flow affect the development and intensity of northern New England thunderstorms? 1. How can thunderstorms be identified and monitored? a. cell-based or gridded VIL? (VIL: cell-based) b. VIL limitations? (Range: 25 – 125 km) c. VIL threshold for thunderstorms? (Threshold: 10 kg m-2) d. Which radar product will be used? WSR-88D Level III Storm Structure Product (Gray/Portland, ME) How does large-scale flow affect the development and intensity of northern New England thunderstorms? WSR-88D Level III Storm Structure Product (Gray/Portland, ME) FIG FIG 4: 5: 6:7: NCDC NCDC Java Java NEXRAD NEXRAD Viewer Viewer (Short (Storm (Storm range structure structure reflectivity product product 06/19/2006) 06/19/2006) 06/19/2006) FIG 9: 8: NCDC Java NEXRAD Viewer (Storm structure alphanumeric table 06/19/2006) How does large-scale flow affect the development and intensity of northern New England thunderstorms? 1. How can thunderstorms be identified and monitored? a. cell-based or gridded VIL? (VIL: cell-based) b. VIL limitations? (Range: 25 – 125 km) c. VIL threshold for thunderstorms? (Threshold: 10 kg m-2) d. Which radar product will be used? (Storm Structure) WSR-88D Level III Storm Structure Product (Gray/Portland, ME) How accurately can the storm structure product track storms? “The results show that cells above 40 dBz have a 68% of being detected and that cells with reflectivities above 50 dBz have a 96% chance of being detected.” Johnson et al. 1998 How does large-scale flow affect the development and intensity of northern New England thunderstorms? 1. How can thunderstorms be identified and monitored? CRITERIA VIL: cell-based Range: 25 – 125 km from GYX Min VIL: 10 kg m-2 Min Reflectivity: 50 dBz Min Duration: > 1 Volume scan WSR-88D Product: Storm Structure How does large-scale flow affect the development and intensity of northern New England thunderstorms? 1. How can thunderstorms be identified and monitored? NLDN Lightning strikes Vs. VIL values June – August (2005) Radar Identified Storms With CG Lightning (%) % (Lightning Count / Total Count) 100 95 90 89.8 85 80 75 70 65 60 55 50 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 VIL FIG 10: VIL (kg m-2) Vs. Lightning Count (%) How does large-scale flow affect the development and intensity of northern New England thunderstorms? 2. How can the pre-convective environment be analyzed? Proximity Soundings a. Def. proximity sounding? “Proximity refers to events which are required to occur within 3 h of the sounding time and within 100 nautical miles (185 km) in space. Craven (2001), Craven et al. (2002a,b), and Brooks (2003) b. Which Reanalysis dataset should be used? “It is expected that the NARR data set will show the mesoscale detail in weather systems, particularly severe weather, that the coarser NCEP/NCAR GR would miss.” Grumm (2005) How does large-scale flow affect the development and intensity of northern New England thunderstorms? 3. How can large-scale flow be identified for each thunderstorm? 700 hPa is “the first mandatory pressure level that is clearly above the underlying terrain.” Wasula and Bosart (2002) How does large-scale flow affect the development and intensity of northern New England thunderstorms? 4. How can results be objectively analyzed? Radar Data Objective Analysis Interpolation Method: Isotropic Barnes Analysis wq = exp(-r’2/k) k = k*[(2Δaz)2max] Trapp and Doswell (2000) k 32.8 k* 0.5 2Δaz 232km [1o (π/180)] grid spacing 4 km radius of influence 3 * grid spacing min. # obs 3 R = 232 km How does large-scale flow affect the development and intensity of northern New England thunderstorms? Monitoring Storm Cell Intensity - Find radar indicated start time - Find location of Max intensification (ΔVIL/Δt) - Find location of Max intensity (VIL) - Find location of Max Weakening (ΔVIL/Δt) - Find radar indicated end time - Download relevant NARR data - Identify large-scale flow (925, 700 hPa) per storm - Stratify results by large-scale flow How does large-scale flow affect the development and intensity of northern New England thunderstorms? Thunderstorm cells (VIL ≥ 23 kg m-2, Ref ≥ 50 dBz, Range ≥ 25 km and ≤ 125 km, > 1 Volume scan) - 231 events - 3238 thunderstorm cells meet criteria - 700 hPa Flow: (SW=1921, W=651, NW=599, SE=45, NE=22) Total Storm Cells Per Flow (700 hPa) 2500 1921 # Storm cells 2000 1500 1000 651 599 W NW 500 0 22 0 45 NE E SE SW Flow FIG 11: Thunderstorm cells per flow regime (700 hPa) How does large-scale flow affect the development and intensity of northern New England thunderstorms? Thunderstorm cells (VIL ≥ 23 kg m-2, Ref ≥ 50 dBz, Range ≥ 25 km and ≤ 125 km, > 1 Volume scan) Yearly, Monthly, and Diurnal distribution Total Storm Cells PerHour Month (700hPa hPaFlow) Flow) Total Storm Total Storm Cells Per Cells Per (700 Year 800 900 300 792 800 700 730 250 749 700 600 500 400 300 200 593 200 # Storm Cells cells ## Storm Storm cells 600 500 NE NE 400 150 374 300 E SE SE SW SW 100 W 200 W NW NW 50 100 100 0 E 00 0 2003 1 42 3 4 5 5620047 8 9 10 6 112005 12 13 14 7 15 16 2006 17 188 19 20 21 2007 22 9 23 HourYear Month (UTC) FFFIG IG IG12: 13: 14:Yearly Monthly Diurnaldistribution distribution distribution ofof of thunderstorm thunderstorm thunderstorm cells cells cells How does large-scale flow affect the development and intensity of northern New England thunderstorms? Thunderstorm cells (VIL ≥ 23 kg m-2, Ref ≥ 50 dBz, Range ≥ 25 km and ≤ 125 km, > 1 Volume scan) Focus on 4 Flow Regimes Level, Flow # Events # Thunderstorm cells 925 hPa, SE 49 274 700 hPa, SW 150 1921 700 hPa, W 79 651 700 hPa, NW 73 599 Northern New England Terrain Map How does large-scale flow affect the development and intensity of northern New England thunderstorms? Thunderstorm cells (VIL ≥ 23 kg m-2, Ref ≥ 50 dBz, Range ≥ 25 km and ≤ 125 km, > 1 Volume scan) 925 hPa SE Flow 49 events Storm Density [count / area * 100] 274 thunderstorm cells How does large-scale flow affect the development and intensity of northern New England thunderstorms? Thunderstorm cells (VIL ≥ 23 kg m-2, Ref ≥ 50 dBz, Range ≥ 25 km and ≤ 125 km, > 1 Volume scan) 700 hPa SW Flow Storm Density [count / area * 100] High Storm Density 150 events 1921 thunderstorm cells How does large-scale flow affect the development and intensity of northern New England thunderstorms? Thunderstorm cells (VIL ≥ 23 kg m-2, Ref ≥ 50 dBz, Range ≥ 25 km and ≤ 125 km, > 1 Volume scan) 700 hPa W Flow Storm Density [count / area * 100] High Storm Density 79 events 651 thunderstorm cells How does large-scale flow affect the development and intensity of northern New England thunderstorms? Thunderstorm cells (VIL ≥ 23 kg m-2, Ref ≥ 50 dBz, Range ≥ 25 km and ≤ 125 km, > 1 Volume scan) 700 hPa NW Flow Storm Density [count / area * 100] High Storm Density 73 events 599 thunderstorm cells How does large-scale flow affect the development and intensity of northern New England thunderstorms? Thunderstorm cells (VIL ≥ 23 kg m-2, Ref ≥ 50 dBz, Range ≥ 25 km and ≤ 125 km, > 1 Volume scan) Stability Assessment 700 hPa Flow CAPE [ J / kg ] CAPE(J/kg) 0 Stable 0-1000 Marginally unstable 1000-2500 Moderately unstable Highest CAPE values south of 2500-3500 Very unstable mountains and away from coast ≥3500 Extremely unstable Avg MU CAPE (700 hPa Flow): All Storms 1600 CAPE [ J / kg ] 1400 1200 NE 1000 E 800 SE 600 SW 400 W 200 NW 0 79 73 150events events Flow FIG 15: Avg CAPE per 700 hPa Flow Regime 651 599 1921thunderstorm thunderstormcells cells How does large-scale flow affect the development and intensity of northern New England thunderstorms? Thunderstorm cells (VIL ≥ 23 kg m-2, Ref ≥ 50 dBz, Range ≥ 25 km and ≤ 125 km, > 1 Volume scan) Stability Assessment Total Totals Index 43 Total Totals [-] 53 TT = (T850 + Td850) - (2 * T500) Thunderstorms Severe thunderstorms possible Severe thunderstorms likely, tornadoes possible Avg TT (700 hPa Flow): All Storms 50 45 40 Total Totals [-] 44 50 ≥ 55 700 hPa Flow 35 NE 30 E 25 SE 20 SW 15 W 10 NW 5 0 Flow FIG 15: Avg. TT per 700 hPa Flow FIG 26: Total Totals Histogram (700 hPa SW Flow) How does large-scale flow affect the development and intensity of northern New England thunderstorms? SW Flow has the largest number of thunderstorm cells 925 hPa SE Flow thunderstorm cells develop along mountains 700 hPa SW, W, NW Flow localized concentrations of thunderstorm cells Total Totals low variability across all flow regimes Ongoing Research - Compare: Severe Vs. non-severe days Short, medium, long duration storms - Generate soundings Severe Vs. non-severe days Short, medium, long duration storms AMS Glossary (2007). Definition of Vertically Integrated Liquid (VIL). Retrieved February 9, 2007 from http://amsglossary.allenpress.com/glossary/search?id=vertically-integrated-liquid1 Brimelow,C.,G.W. Reuter,2006: Spatial Forecasts of Maximum Hail Size Using Prognostic Model Soundings and HAILCAST. Weather and Forecasting, 21, Issue 2, 206-219. Brooks,H.E,J.W. Lee,J.P. Craven,2003: The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data. Atmospheric Research., 67-68, 73-94. Brown, R. A., V. T. Wood, 2000: Improved WSR-88D Scanning Strategies for Convective Storms. Weather & Forecasting, 15 Issue 208-220. 2, Johnson, J. T., P. L. MacKeen, 1998: The Storm Cell Identification and Tracking Algorithm: An Enhanced WSR-88D Algorithm. Weather & Forecasting, 13 Issue 2, 263-276. Kitzmiller, D. H., W. E. McGovern, and R. F. Saffle, 1995: TheWSR-88D severe weather potential algorithm. Wea. Forecasting,10, 141– 159. Miller, S. T. K., Class Lecture (28 Mar 2007) Trapp, R.J., C.A. Doswell: Radar Data Objective Analysis. Journal of Atm. Sci., 17, 105-120. Wasula, C. W., L. F. Bosart, 2002: The Influence of Terrain on the Severe Weather Distribution across Interior Eastern New York and Western New England. Weather & Forecasting, 17 Issue 6, 1277-1289. Winston H. A., L. J. Ruthi, 1986: Evaluation of RADAP II Severe-Storm-Detection Algorithms. Bulletin of the American Meteorological Society, 67 Issue 2, 145-150.