Mesoscale thermodynamic influences on convection initiation near a surface dryline in a convection-permitting ensemble

Monthly Weather Review

Volumn 143, Issue 9, 2015, Pages 3726-3753

  Trier, Stanley B ^a   Romine, Glen S ^a   Ahijevych, David A ^a   Trapp, Robert J ^b   Schumacher, Russ S ^c   Coniglio, Michael C ^d   Stensrud, David J ^e  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^c Department of Chemical and Biological Engineering and School of Biomedical Engineering   (United States)

^d NATIONAL SEVERE STORMS LABORATORY   (United States)

^e PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Drylines; Severe storms; Storm environments

Indexed keywords

BUDGET CONTROL; BUOYANCY; COOLING SYSTEMS; MOISTURE; STORMS;

DRYLINES; POTENTIAL TEMPERATURE; SEVERE CONVECTIONS; SEVERE STORMS; SPATIAL VARIABILITY; STORM ENVIRONMENTS; TRAJECTORY ANALYSIS; VERTICAL CIRCULATION;

TEMPERATURE;

AIR TEMPERATURE; ATMOSPHERIC CONVECTION; ENSEMBLE FORECASTING; MESOSCALE METEOROLOGY; SEVERE WEATHER; STORM; THERMODYNAMICS; TROPOSPHERE;

EID: 84945156418     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-15-0133.1     Document Type: Article

References (86)

1. Ancell, B., and G. J. Hakim, 2007: Comparing adjoint-and ensemble-sensitivity analysis with applications to observation targeting. Mon. Wea. Rev., 135, 4117-4134, doi: 10.1175/2007MWR1904.1.
2. Anderson, J. L., 2001: An ensemble adjustment Kalman filter for data assimilation. Mon. Wea. Rev., 129, 2884-2903, doi: 10.1175/1520-0493(2001)129, 2884: AEAKFF.2.0.CO;2.
3. Anderson, J. L., 2003: A local least squares framework for ensemble filtering. Mon. Wea. Rev., 131, 634-642, doi: 10.1175/1520-0493(2003)131, 0634: ALLSFF.2.0.CO;2.
4. Anderson, J. L., T. Hoar, K. Raeder, H. Liu, N. Collins, R. Torn, and A. Arellano, 2009: The Data Assimilation Research Testbed: Acommunity facility. Bull. Amer. Meteor. Soc., 90, 1283-1296, doi: 10.1175/2009BAMS2618.1.
5. Asai, T., 1970: Stability of plane parallel flow with variable vertical shear and unstable stratification. J. Meteor. Soc. Japan, 48, 129-138.
6. Asai, T., 1972: Thermal instability of a shear flow turning the direction with height. J. Meteor. Soc. Japan, 50, 525-535.
7. Atkins, N. T., R. M. Wakimoto, and C. L. Ziegler, 1998: Observations of the finescale structure of a dryline during VORTEX 95. Mon. Wea. Rev., 126, 525-550, doi: 10.1175/1520-0493(1998)126, 0525: OOTFSO.2.0.CO;2.
8. Balaji, V., and T. L. Clark, 1988: Scale selection in locally forced convective fields and the initiation of deep cumulus. J. Atmos. Sci., 45, 3188-3211, doi: 10.1175/1520-0469(1988)045, 3188: SSILFC.2.0.CO;2.
9. Barker, D. M., and Coauthors, 2012: The Weather Research and Forecasting Model's Community Variational/Ensemble Data Assimilation System: WRFDA. Bull. Amer. Meteor. Soc., 93, 831-843, doi: 10.1175/BAMS-D-11-00167.1.
10. Bednarczyk, C. N., and B. C. Ancell, 2015: Ensemble sensitivity analysis applied to a southern plains convective event. Mon. Wea. Rev., 143, 230-249, doi: 10.1175/MWR-D-13-00321.1.
11. Bluestein, H. B., and S. S. Parker, 1993: Modes of isolated, severe convective storm formation along the dryline. Mon. Wea. Rev., 121, 1354-1372, doi: 10.1175/1520-0493(1993)121, 1354: MOISCS.2.0.CO;2.
12. Brock, F. V., K. C. Crawford, R. L. Elliot, G. W. Cuperus, S. J. Stadler, H. L. Johnson, and M. D. Elits, 1995: The Oklahoma mesonet: A technical overview. J. Atmos. Oceanic Technol., 12, 5-19, doi: 10.1175/1520-0426(1995)012, 0005: TOMATO.2.0.CO;2.
13. Burghardt, B. J., C. Evans, and P. J. Roebber, 2014: Assessing the predictability of convection initiation in the high plains using an object-based approach. Wea. Forecasting, 29, 403-418, doi: 10.1175/WAF-D-13-00089.1.
14. Cai, H., W.-C. Lee, T. M. Weckwerth, C. Flamant, and H. V. Murphey, 2006: Observations of the 11 June dryline during IHOP_2002-A null case for convection initiation. Mon. Wea. Rev., 134, 336-354, doi: 10.1175/MWR2998.1.
15. Carlson, T. N., S. G. Benjamin, G. S. Forbes, and Y.-F. Li, 1983: Elevated mixed layers in the regional severe storm environment: Conceptual model and case studies. Mon. Wea. Rev., 111, 1453-1473, doi: 10.1175/1520-0493(1983)111, 1453: EMLITR.2.0.CO;2.
16. Chen, F., and J. Dudhia, 2001: Coupling an advanced landsurface hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity. Mon. Wea. Rev., 129, 569-585, doi: 10.1175/1520-0493(2001)129, 0569: CAALSH.2.0.CO;2.
17. Ching, J., R. Rotunno, M. LeMone, A. Martilli, B. Kosovic, P. A. Jimenez, and J. Dudhia, 2014: Convectively induced secondary circulations in fine-grid mesoscale numerical weather prediction models. Mon. Wea. Rev., 142, 3284-3302, doi: 10.1175/MWR-D-13-00318.1.
18. Clark, A. J., W. A. Gallus Jr., M. Xue, and F. Kong, 2010: Convection-allowing and convection-parameterizing ensemble forecasts of a mesoscale convective vortex and associated severe weather environment. Wea. Forecasting, 25, 1052-1081, doi: 10.1175/2010WAF2222390.1.
19. Clark, A. J., M. C. Coniglio, B. E. Coffer, G. Thompson, M. Xue, and F. Kong, 2015: Sensitivity of 24-h forecast dryline position and structure to boundary layer parameterizations in convectionallowing WRF Model simulations. Wea. Forecasting, 30, 613-638, doi: 10.1175/WAF-D-14-00078.1.
20. Colby, F. P., Jr., 1984: Convective inhibition as a predictor of convection during AVE-SESAME II. Mon. Wea. Rev., 112, 2239-2252, doi: 10.1175/1520-0493(1984)112, 2239: CIAAPO.2.0.CO;2.
21. Coniglio, M. C., J. Correia Jr., P. T. Marsh, and F. Kong, 2013: Verification of convection-allowing WRF Model forecasts of the planetary boundary layer using sounding observations. Wea. Forecasting, 28, 842-862, doi: 10.1175/WAF-D-12-00103.1.
22. Davis, C. A., and D. A. Ahijevych, 2013: Thermodynamic environments of deep convection in Atlantic tropical disturbances. J. Atmos. Sci., 70, 1912-1928, doi: 10.1175/JAS-D-12-0278.1.
23. Demoz, B., and Coauthors, 2006: The dryline on 22 May 2002 during IHOP_2002: Convective-scale profiling measurements at the profiling site. Mon. Wea. Rev., 134, 294-310, doi: 10.1175/MWR3054.1.
24. Evensen, G., 2003: The ensemble Kalman filter: Theoretical formulation and practical implementation. Ocean Dyn., 53, 343-367, doi: 10.1007/s10236-003-0036-9.
25. Hakim, G. J., and R. D. Torn, 2008: Ensemble synoptic analysis. Synoptic-Dynamic Meteorology and Weather Analysis and Forecasting: A Tribute to Fred Sanders, Meteor. Monogr., No. 55, Amer. Meteor. Soc., 147-162, doi: 10.1175/0065-9401-33.55.147.
26. Hane, C. E., C. L. Ziegler, and H. B. Bluestein, 1993: Investigation of the dryline and convective storms initiated along the dryline: Field experiments during COPS-91. Bull. Amer. Meteor. Soc., 74, 2133-2145, doi: 10.1175/1520-0477(1993)074, 2133: IOTDAC.2.0.CO;2.
27. Hane, C. E., M. E. Baldwin, H. B. Bluestein, T. M. Crawford, and R. M. Rabin, 2001: A case study of severe storm development along a dryline with a synoptically active environment. Part I: Dryline motion and an Eta Model forecast. Mon. Wea. Rev., 129, 2183-2203, doi: 10.1175/1520-0493(2001)129, 2183: ACSOSS.2.0.CO;2.
28. Hanley, K. E., D. J. Kirshbaum, S. E. Belcher, N. M. Roberts, and G. Leoncini, 2011: Ensemble predictability of an isolated mountain thunderstorm in a high-resolution model. Quart. J. Roy. Meteor. Soc., 137, 2124-2137, doi: 10.1002/qj.877.
29. Hawblitzel, D. P., F. Zhang, Z. Meng, and C. A. Davis, 2007: Probabilistic evaluation of the dynamics and predictability of the mesoscale convective vortex of 10-13 June 2003. Mon. Wea. Rev., 135, 1544-1563, doi: 10.1175/MWR3346.1.
30. Iacono, M. J., J. S. Delamere, E. J. Mlawer, M. W. Shephard, S. A. Clough, and W. D. Collins, 2008: Radiative forcing by longlived greenhouse gases: Calculations with the AER radiative transfer models. J. Geophys. Res., 113, D13103, doi: 10.1029/2008JD009944.
31. Janjić, Z. I., 1994: The step-mountain eta coordinate model: Further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon. Wea. Rev., 122, 927-945, doi: 10.1175/1520-0493(1994)122, 0927: TSMECM.2.0.CO;2.
32. Janjić, Z. I., 2002: Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model. NCEP Office Note 437, 61 pp. [Available online at http://www.emc.ncep.noaa.gov/officenotes/newernotes/on437.pdf.]
33. Kain, J. S., and Coauthors, 2013: A feasibility study for probabilistic convection initiation forecasts based on explicit numerical guidance. Bull. Amer. Meteor. Soc., 94, 1213-1225, doi: 10.1175/BAMS-D-11-00264.1.
34. Kang, S.-L., and G. H. Bryan, 2011: A large-eddy simulation study of moist convection initiation over heterogeneous surface fluxes. Mon. Wea. Rev., 139, 2901-2917, doi: 10.1175/MWR-D-10-05037.1.
35. Lock, N. A., and A. L. Houston, 2014: Empirical examination of factors regulating thunderstorm initiation. Mon. Wea. Rev., 142, 240-258, doi: 10.1175/MWR-D-13-00082.1.
36. Lynch, S. L., and R. S. Schumacher, 2014: Ensemble-based analysis of the May 2010 extreme rainfall in Tennessee and Kentucky. Mon. Wea. Rev., 142, 222-239, doi: 10.1175/MWR-D-13-00020.1.
37. Markowski, P., C. Hannon, and E. Rasmussen, 2006: Observations of convection initiation "failure" from the 12 June 2002 IHOP deployment. Mon. Wea. Rev., 134, 375-405, doi: 10.1175/MWR3059.1.
38. Martin, W. J., and M. Xue, 2006: Sensitivity analysis of convection of the 24 May 2002 IHOP case using very large ensembles. Mon. Wea. Rev., 134, 192-207, doi: 10.1175/MWR3061.1.
39. McGuire, E. L., 1962: The vertical structure of three dry lines as revealed by aircraft traverses. National Severe Storms Project Tech. Rep. 7, 11 pp. [Available online at http://docs.lib.noaa. gov/noaa_documents/NOAA_historic_documents/WB/National_Severe_Storms_Project/report_7.pdf.]
40. Mecikalski, J. R., and K. M. Bedka, 2006: Forecasting convection initiation by monitoring the evolution of moving cumulus in daytime GOES imagery. Mon. Wea. Rev., 134, 49-78, doi: 10.1175/MWR3062.1.
41. Melhauser, C., and F. Zhang, 2012: Practical and intrinsic predictability of severe and convective weather at the mesoscales. J. Atmos. Sci., 69, 3350-3371, doi: 10.1175/JAS-D-11-0315.1.
42. Mellor, G. L., and T. Yamada, 1982: Development of a turbulence closure model for geophysical fluid problems. Rev. Geophys., 20, 851-875, doi: 10.1029/RG020i004p00851.
43. Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough, 1997: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J. Geophys. Res., 102, 16 663-16 682, doi: 10.1029/97JD00237.
44. Ogura, Y., and Y. L. Chen, 1977: Life history of an intense mesoscale convective storm in Oklahoma. J. Atmos. Sci., 34, 1458-1476, doi: 10.1175/1520-0469(1977)034, 1458: ALHOAI.2.0.CO;2.
45. Peckham, S. E., R. B.Wilhelmson, L. J. Wicker, and C. L. Ziegler, 2004: Numerical simulation of the interaction between the dryline and horizontal convective rolls. Mon. Wea. Rev., 132, 1792-1812, doi: 10.1175/1520-0493(2004)132, 1792: NSOTIB.2.0.CO;2.
46. Reinecke, P. A., and D. R. Durran, 2009: Initial-condition sensitivities and the predictability of downslope winds. J. Atmos. Sci., 66, 3401-3418, doi: 10.1175/2009JAS3023.1.
47. Rhea, J. O., 1966: A study of thunderstorm formation along drylines. J. Appl.Meteor., 5, 58-63, doi: 10.1175/1520-0450(1966)005, 0058: ASOTFA.2.0.CO;2.
48. Roberts, R. D., and S. Rutledge, 2003: Nowcasting storm initiation and growth using GOES-8 and WSR-88D data. Wea. Forecasting, 18, 562-584, doi: 10.1175/1520-0434(2003)018, 0562: NSIAGU.2.0.CO;2.
49. Romine, G. S., C. S. Schwartz, C. Snyder, J. L. Anderson, and M. L. Weisman, 2013: Model bias in a continuously cycled assimilation system and its influence on convection-permitting forecasts. Mon. Wea. Rev., 141, 1263-1284, doi: 10.1175/MWR-D-12-00112.1.
50. Romps, D. M., 2010: A direct measurement of entrainment. J. Atmos. Sci., 67, 1908-1927, doi: 10.1175/2010JAS3371.1.
51. Rotunno, R., and J. B. Klemp, 1985: On the rotation and propagation of simulated supercell thunderstorms. J. Atmos. Sci., 42, 271-292, doi: 10.1175/1520-0469(1985)042, 0271: OTRAPO.2.0.CO;2.
52. Rotunno, R., J. B. Klemp, and M. L. Weisman, 1988: A theory for long-lived squall lines. J. Atmos. Sci., 45, 463-485, doi: 10.1175/1520-0469(1988)045, 0463: ATFSLL.2.0.CO;2.
53. Schultz, D. M., C. C. Weiss, and P. M. Hoffman, 2007: The synoptic regulation of dryline intensity. Mon. Wea. Rev., 135, 1699-1709, doi: 10.1175/MWR3376.1.
54. Schumacher, R. S., 2011: Ensemble-based analysis of factors leading to the development of a multiday warm-season heavy rain event. Mon. Wea. Rev., 139, 3016-3035, doi: 10.1175/MWR-D-10-05022.1.
55. Schumacher, R. S., A. J. Clark, M. Xue, and F. Kong, 2013: Factors influencing the development and maintenance of nocturnal heavy-rainproducing convective systems in a storm-scale ensemble. Mon. Wea. Rev., 141, 2778-2801, doi: 10.1175/MWR-D-12-00239.1.
56. Schwartz, C. S., G. S. Romine, K. R. Smith, and M. L. Weisman, 2014: Characterizing and optimizing precipitation forecasts from a convection-permitting ensemble initialized by a mesoscale ensemble Kalman filter. Wea. Forecasting, 29, 1295-1318, doi: 10.1175/WAF-D-13-00145.1.
57. Schwartz, C. S., G. S. Romine, M. L. Weisman, R. A. Sobash, K. R. Fossell, K. W. Manning, and S. B. Trier, 2015: A real-time convectionallowing ensemble prediction system initialized by mesoscale ensemble Kalman filter analyses. Wea. Forecasting, doi: 10.1175/WAF-D-15-0013.1, in press.
58. Skamarock, W. C., and J. B. Klemp, 2008: A time-split nonhydrostatic model for weather research and forecasting applications. J. Comput. Phys., 227, 3465-3485, doi: 10.1016/j.jcp.2007.01.037.
59. Stensrud, D. J., and Coauthors, 2013: Progress and challenges with Warn-on-Forecast. Atmos. Res., 123, 2-16, doi: 10.1016/j.atmosres.2012.04.004.
60. Sun, W.-Y., and Y. Ogura, 1979: Boundary-layer forcing as a possible trigger to squall line formation. J. Atmos. Sci., 36, 235-254, doi: 10.1175/1520-0469(1979)036, 0235: BLFAAP.2.0.CO;2.
61. Sun, W.-Y., and C.-C. Wu, 1992: Formation and diurnal variation of the dryline. J. Atmos. Sci., 49, 1606-1619, doi: 10.1175/1520-0469(1992)049, 1606: FADVOT.2.0.CO;2.
62. Tegen, I., P.Hollrig, M. Chin, I. Fung, D. Jacob, and J. Penner, 1997: Contribution of different aerosol species to the global aerosol extinction optical thickness: Estimates from model results. J. Geophys. Res., 102, 23 895-23 915, doi: 10.1029/97JD01864.
63. Thompson, G., P. R. Field, R. M. Rasmussen, and W. D. Hall, 2008: Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization. Mon. Wea. Rev., 136, 5095-5115, doi: 10.1175/2008MWR2387.1.
64. Tiedtke, M., 1989: A comprehensive mass flux scheme for cumulus parameterization in large-scale models. Mon. Wea. Rev., 117, 1779-1800, doi: 10.1175/1520-0493(1989)117, 1779: ACMFSF.2.0.CO;2.
65. Torn, R. D., and G. S. Romine, 2015: Sensitivity of central Oklahoma convection forecasts to upstream potential vorticity anomalies during two strongly forced cases during MPEX. Mon. Wea. Rev., doi: 10.1175/MWR-D-15-0085.1, in press.
66. Torn, R. D., G. J. Hakim, and C. Snyder, 2006: Boundary conditions for limited-area ensemble Kalman filters. Mon. Wea. Rev., 134, 2490-2502, doi: 10.1175/MWR3187.1.
67. Trapp, R. J., D. J. Stensrud, M. C. Coniglio, R. S. Schumacher, M. Baldwin, S. Waugh, and D. Conlee, 2015: Mobile radiosonde deployments during the Mesoscale Predictability Experiment (MPEX): Rapid and adaptive sampling of upscale convective feedbacks. Bull. Amer. Meteor. Soc., doi: 10.1175/BAMS-D-14-00258.1, in press.
68. Trier, S. B., F. Chen, and K. W. Manning, 2004: A study of convection initiation in a mesoscale model using high-resolution land surface initial conditions. Mon. Wea. Rev., 132, 2954-2976, doi: 10.1175/MWR2839.1.
69. min) to diagnose simulated thermodynamic destabilization. Part I: Methodology and case studies of MCS initiation environments. Mon. Wea. Rev., 142, 945-966, doi: 10.1175/MWR-D-13-00272.1.
70. Wakimoto, R. M., and H. V. Murphey, 2009: Analysis of a dryline during IHOP: Implications for convection initiation. Mon. Wea. Rev., 137, 912-936, doi: 10.1175/2008MWR2584.1.
71. Wang, Q.-W., and M. Xue, 2012: Convective initiation on 19 June 2002 during IHOP: High-resolution simulations and analysis of the mesoscale structures and convection initiation. J. Geophys. Res., 117, D12107, doi: 10.1029/2012JD017552.
72. 2O Project (IHOP_2002) and some preliminary highlights. Bull. Amer. Meteor. Soc., 85, 253-277, doi: 10.1175/BAMS-85-2-253.
73. Weckwerth, T. M., H. V. Murphey, C. Flamant, J. Goldstein, and C. R. Pettet, 2008: An observational study of convection initiation on 12 June 2002 during IHOP_2002. Mon. Wea. Rev., 136, 2283-2304, doi: 10.1175/2007MWR2128.1.
74. Weisman, M. L., and Coauthors, 2015: The Mesoscale Predictability Experiment (MPEX). Bull. Amer. Meteor. Soc., doi: 10.1175/BAMS-D-13-00281.1, in press.
75. Weiss, C. C., and H. B. Bluestein, 2002: Airborne pseudo-dual Doppler analysis of a dryline-outflow boundary intersection. Mon. Wea. Rev., 130, 1207-1226, doi: 10.1175/1520-0493(2002)130, 1207: APDDAO.2.0.CO;2.
76. 2O Project (IHOP). Mon. Wea. Rev., 134, 273-293, doi: 10.1175/MWR3068.1.
77. Wheatley, D. M., D. J. Stensrud, D. C. Dowell, and N. Yussouf, 2012: Application of a WRF mesoscale data assimilation system to springtime severe weather events 2007-09. Mon. Wea. Rev., 140, 1539-1557, doi: 10.1175/MWR-D-11-00106.1.
78. Wilson, J. W., and W. E. Schreiber, 1986: Initiation of convective storms at radar-observed boundary-layer convergence lines. Mon. Wea. Rev., 114, 2516-2536, doi: 10.1175/1520-0493(1986)114, 2516: IOCSAR.2.0.CO;2.
79. Xue, M., and W. J. Martin, 2006: A high-resolution modeling study of the 24 May 2002 dryline case during IHOP. Part II: Horizontal convective rolls and convective initiation. Mon. Wea. Rev., 134, 172-191, doi: 10.1175/MWR3072.1.
80. Yeo, K., and D. M. Romps, 2013: Measurement of convective entrainment using Lagrangian particles. J. Atmos. Sci., 70, 266-277, doi: 10.1175/JAS-D-12-0144.1.
81. Zhang, C., Y. Wang, and K. Hamilton, 2011: Improved representation of boundary layer clouds over the southeast Pacific in ARW-WRF using a modified Tiedke cumulus parameterization scheme. Mon. Wea. Rev., 139, 3489-3513, doi: 10.1175/MWR-D-10-05091.1.
82. Zheng, M., E. K. M. Chang, and B. A. Colle, 2013: Ensemble sensitivity tools for assessing extratropical cyclone intensity and track predictability. Wea. Forecasting, 28, 1133-1156, doi: 10.1175/WAF-D-12-00132.1.
83. Ziegler, C. L., and E. N. Rasmussen, 1998: The initiation of moist convection at the dryline: Forecasting issues from a case study perspective. Wea. Forecasting, 13, 1106-1131, doi: 10.1175/1520-0434(1998)013, 1106: TIOMCA.2.0.CO;2.
84. Ziegler, C. L., W. J. Martin, R. A. Pielke, and R. L. Walko, 1995: A modeling study of the dryline. J. Atmos. Sci., 52, 263-285, doi: 10.1175/1520-0469(1995)052, 0263: AMSOTD.2.0.CO;2.
85. Ziegler, C. L., T. J. Lee, and R. A. Pielke Sr., 1997: Convection initiation at the dryline: A modeling study. Mon. Wea. Rev., 125, 1001-1026, doi: 10.1175/1520-0493(1997)125, 1001: CIATDA.2.0.CO;2.
86. Ziegler, C. L., E.R. Mansell, J. M. Straka, D. R. MacGorman, and D. W. Burgess, 2010: The impact of spatial variations of lowlevel stability on the life cycle of a simulated supercell storm. Mon. Wea. Rev., 138, 1738-1766, doi: 10.1175/2009MWR3010.1.