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Important Factors for Tornadogenesis as Revealed by High-Resolution Ensemble Forecasts of the Tsukuba Supercell Tornado of 6 May 2012 in Japan

Important Factors for Tornadogenesis as Revealed by High-Resolution Ensemble Forecasts of the... AbstractTo identify important factors for supercell tornadogenesis, 33-member ensemble forecasts of the supercell tornado that struck the city of Tsukuba, Japan, on 6 May 2012 were conducted using a mesoscale numerical model with a 50-m horizontal grid. Based on the ensemble forecasts, the sources of the rotation of simulated tornadoes and the relationship between tornadogenesis and mesoscale environmental processes near the tornado were analyzed. Circulation analyses of near-surface, tornadolike vortices simulated in several ensemble members showed that the rotation of the tornadoes could be frictionally generated near the surface. However, the mechanisms responsible for generating circulation were only weakly related to the strength of the tornadoes. To identify the mesoscale processes required for tornadogenesis, mesoscale atmospheric conditions and their correlations with the strength of tornadoes were examined. The results showed that two near-tornado mesoscale factors were important for tornadogenesis: strong low-level mesocyclones (LMCs) at about 1 km above ground level and humid air near the surface. Strong LMCs and large water vapor near the surface strengthened the nonlinear dynamic vertical perturbation pressure gradient force and buoyancy, respectively. These upward forces made contributions essential for tornadogenesis via tilting and stretching of vorticity near the surface. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Monthly Weather Review American Meteorological Society

Important Factors for Tornadogenesis as Revealed by High-Resolution Ensemble Forecasts of the Tsukuba Supercell Tornado of 6 May 2012 in Japan

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0493
eISSN
1520-0493
DOI
10.1175/MWR-D-17-0254.1
Publisher site
See Article on Publisher Site

Abstract

AbstractTo identify important factors for supercell tornadogenesis, 33-member ensemble forecasts of the supercell tornado that struck the city of Tsukuba, Japan, on 6 May 2012 were conducted using a mesoscale numerical model with a 50-m horizontal grid. Based on the ensemble forecasts, the sources of the rotation of simulated tornadoes and the relationship between tornadogenesis and mesoscale environmental processes near the tornado were analyzed. Circulation analyses of near-surface, tornadolike vortices simulated in several ensemble members showed that the rotation of the tornadoes could be frictionally generated near the surface. However, the mechanisms responsible for generating circulation were only weakly related to the strength of the tornadoes. To identify the mesoscale processes required for tornadogenesis, mesoscale atmospheric conditions and their correlations with the strength of tornadoes were examined. The results showed that two near-tornado mesoscale factors were important for tornadogenesis: strong low-level mesocyclones (LMCs) at about 1 km above ground level and humid air near the surface. Strong LMCs and large water vapor near the surface strengthened the nonlinear dynamic vertical perturbation pressure gradient force and buoyancy, respectively. These upward forces made contributions essential for tornadogenesis via tilting and stretching of vorticity near the surface.

Journal

Monthly Weather Review – American Meteorological Society

Published: Apr 6, 2018

References

  • A numerical simulation of cyclic mesocyclogenesis
    Adlerman, E. J.; Droegemeier, K. K.; Davies-Jones, R.
  • Comparing adjoint- and ensemble-sensitivity analysis with applications to observation targeting
    Ancell, B. C.; Hakim, G. J.
  • Flux parameterization over land surfaces for atmospheric models
    Beljaars, A. C. M.; Holtslag, A. A. M.
  • Airflow and precipitation trajectories within severe local storms which travel to the right of the winds
    Browning, K. A.
  • Simulated supercells in nontornadic and tornadic VORTEX2 environments
    Coffer, B. E.; Parker, M. D.
  • Volatility of tornadogenesis: An ensemble of simulated nontornadic and tornadic supercells in VORTEX2 environments
    Coffer, B. E.; Parker, M. D.; Dahl, J. M. L.; Wicker, L. J.; Clark, A. J.
  • Baseline climatology of sounding derived parameters associated with deep, moist convection
    Craven, J. P.; Brooks, H. E.
  • Uncertainties in trajectory calculations within near-surface mesocyclones of simulated supercells
    Dahl, J. M. L.; Parker, M. D.; Wicker, L. J.
  • Stratocumulus-capped mixed layers derived from a three-dimensional model
    Deardorff, J. W.
  • Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics
    Evensen, G.
  • Four-dimensional ensemble Kalman filtering
    Hunt, B. R.
  • Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter
    Hunt, B. R.; Kostelich, E. J.; Szunyogh, I.
  • Development of a hybrid terrain-following vertical coordinate for JMA non-hydrostatic model
    Ishida, J.
  • The Kain–Fritsch convective parameterization: An update
    Kain, J. S.
  • A one-dimensional entraining/detraining plume model and its application in convective parameterization
    Kain, J. S.; Fritsch, J. M.
  • Some practical considerations regarding horizontal resolution in the first generation of operational convection-allowing NWP
    Kain, J. S.
  • A new approach to linear filtering and prediction problems
    Kalman, R. E.
  • A study of the tornadic region within a supercell thunderstorm
    Klemp, J. B.; Rotunno, R.
  • Bulk parameterization of the snow field in a cloud model
    Lin, Y.-L.; Farley, R. D.; Orville, H. D.
  • Hook echoes and rear-flank downdrafts: A review
    Markowski, P. M.
  • An idealized numerical simulation investigation of the effects of surface drag on the development of near-surface vertical vorticity in supercell thunderstorms
    Markowski, P. M.
  • The influence of environmental low-level shear and cold pools on tornadogenesis: Insights from idealized simulations
    Markowski, P. M.; Richardson, Y. P.
  • Direct surface thermodynamic observations within the rear-flank downdrafts of nontornadic and tornadic supercells
    Markowski, P. M.; Straka, J. M.; Rasmussen, E. N.
  • Tornadogenesis resulting from the transport of circulation by a downdraft: Idealized numerical simulations
    Markowski, P. M.; Straka, J. M.; Rasmussen, E. N.
  • Vortex lines within low-level mesocyclones obtained from pseudo-dual-Doppler radar observations
    Markowski, P. M.; Richardson, Y. P.; Rasmussen, E.; Straka, J.; Davies-Jones, R.; Trapp, R. J.
  • The pretornadic phase of the Goshen County, Wyoming, supercell of 5 June 2009 intercepted by VORTEX2. Part I: Evolution of kinematic and surface thermodynamic fields
    Markowski, P. M.
  • A numerical study of the 6 May 2012 Tsukuba City supercell tornado. Part I: Vorticity sources of low-level and midlevel mesocyclones
    Mashiko, W.
  • A numerical study of the 6 May 2012 Tsukuba City supercell tornado. Part II: Mechanisms of tornadogenesis
    Mashiko, W.
  • Numerical simulation of tornadogenesis in an outer-rainband minisupercell of Typhoon Shanshan on 17 September 2006
    Mashiko, W.; Niino, H.; Kato, T.
  • Numerical modeling of dynamical and microphysical evolution of an isolated convective cloud —The 19 July 1981 CCOPE cloud
    Murakami, M.
  • Improvement of the Mellor–Yamada turbulence closure model based on large-eddy simulation data
    Nakanishi, M.
  • An improved Mellor–Yamada Level-3 model with condensation physics: Its design and verification
    Nakanishi, M.; Niino, H.
  • An improved Mellor–Yamada Level-3 model: Its numerical stability and application to a regional prediction of advection fog
    Nakanishi, M.; Niino, H.
  • Genesis and structure of a major tornado in a numerically-simulated supercell storm: Importance of vertical vorticity in a gust front
    Noda, A. T.; Niino, H.
  • A numerical investigation of a supercell tornado: Genesis and vorticity budget
    Noda, A. T.; Niino, H.
  • Production of near-surface vertical vorticity by idealized downdrafts
    Parker, M. D.; Dahl, J. M. L.
  • The role of surface drag in mesocyclone intensification leading to tornadogenesis within an idealized supercell simulation
    Roberts, B.; Xue, M.
  • The role of surface drag in tornadogenesis within an idealized supercell simulation
    Roberts, B.; Xue, M.; Schenkman, A. D.; Dawson, D. T.
  • The influence of the shear-induced pressure gradient on thunderstorm motion
    Rotunno, R.; Klemp, J. B.
  • On the rotation and propagation of simulated supercell thunderstorms
    Rotunno, R.; Klemp, J. B.
  • The operational JMA nonhydrostatic mesoscale model
    Saito, K.
  • Tornadogenesis in a simulated mesovortex within a mesoscale convective system
    Schenkman, A. D.; Xue, M.; Shapiro, A.
  • Tornadogenesis in a high-resolution simulation of the 8 May 2003 Oklahoma City supercell
    Schenkman, A. D.; Xue, M.; Hu, M.
  • Ensemble experiments using a nested LETKF system to reproduce intense vortices associated with tornadoes of 6 May 2012 in Japan
    Seko, H.; Kunii, M.; Yokota, S.; Tsuyuki, T.; Miyoshi, T.
  • An observational and idealized numerical examination of low-level counter-rotating vortices in the rear flank of supercells
    Straka, J. M.; Rasmussen, E. N.; Davies-Jones, R. P.; Markowski, P. M.
  • Close proximity soundings within supercell environments obtained from the Rapid Update Cycle
    Thompson, R. L.; Edwards, R.; Hart, J. A.; Elmore, K. L.; Markowski, P.
  • Ensemble-based sensitivity analysis
    Torn, R. D.; Hakim, G. J.
  • A reassessment of the percentage of tornadic mesocyclones
    Trapp, R. J.; Stumpf, G. J.; Manross, K. L.
  • The dependence of numerically simulated convective storms on vertical wind shear and buoyancy
    Weisman, M. L.; Klemp, J. B.
  • Simulation and analysis of tornado development and decay within a three-dimensional supercell thunderstorm
    Wicker, L. J.; Wilhelmson, R. B.
  • The tornadic supercell on the Kanto Plain on 6 May 2012: Polarimetric radar and surface data assimilation with EnKF and ensemble-based sensitivity analysis
    Yokota, S.; Seko, H.; Kunii, M.; Yamauchi, H.; Niino, H.