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  • Bell, J. A., L. C. Sloan, and M. A. Snyder (2004), Regional changes in extreme climatic events: A future climate scenario, J. Clim., 17, 8187.
  • Brooks, H. E. (2006), A global view of severe thunderstorms: Estimating the current distribution and possible future changes, Preprints, AMS Severe Local Storms Special Symposium, no. J4.2, Am. Meteorol. Soc., Atlanta, Ga., 30 Jan. – 2 Feb. (Available at http://www.nssl.noaa.gov/users/brooks/public_html/papers/AMS2K6.pdf).
  • Brooks, H. E., and C. A. Doswell III (2001), Normalized damage from major tornadoes in the United States: 1890–1999, Weather Forecasting, 16, 168176.
  • Brooks, H. E., C. A. Doswell III, and M. P. Kay (2003), Climatological estimates of local daily tornado probability for the United States, Weather Forecasting, 18, 626640.
  • Browning, K. A. (1964), Airflow and precipitation trajectories within severe local storms which travel to the right of the winds, J. Atmos. Sci., 21, 634639.
  • Burgess, D. W., V. T. Wood, and R. A. Brown (1982), Mesocyclone evolution statistics, Preprints, in 12th Conference on Severe Local Storms, Am. Meteorol. Soc., pp. 422424, San Antonio, Tx.
  • Chen, F., and J. Dudhia (2001), Coupling an advanced land-surface/hydrology model with the Penn State/NCAR MM5 modeling system. Part I: Model description and implementation, Mon. Weather Rev., 129, 569585.
  • Davies-Jones, R. P. (1984), Streamwise vorticity: The origin of updraft rotation in supercell storms, J. Atmos. Sci., 41, 29913006.
  • Denis, B., R. Laprise, D. Caya, and J. Côté (2002), Downscaling ability of one-way nested regional climate models: The Big-Brother Experiment, Clim. Dyn., 18, 627646.
  • Diffenbaugh, N. S., J. S. Pal, R. J. Trapp, and F. Giorgi (2005), Fine-scale processes regulate the response of extreme events to global climate change, Proc. Natl. Acad. Sci. U. S. A., 102, 15,77415,778.
  • Diffenbaugh, N. S., M. Ashfaq, B. Shuman, and J. W. Williams (2006), Summer aridity in the United States: Response to mid-Holocene changes in insolation and sea surface temperature, Geophys. Res. Lett., 33, L22712, doi:10.1029/2006GL028012.
  • Droegemeier, K. K., S. M. Lazarus, and R. P. Davies-Jones (1993), The influence of helicity on numerically simulated convective storms, Mon. Weather Rev., 121, 20052029.
  • Dudhia, J. (1989), Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model, J. Atmos. Sci., 46, 30773107.
  • Giorgi, F., and L. O. Mearns (1999), Introduction to special section: Regional climate modeling revisited, J. Geophy. Res., 104(D6), 63356352.
  • Giorgi, F., G. Bates, and S. Nieman (1993), The multi-year surface climatology of a regional atmospheric model over the western United States, J. Clim., 6, 7595.
  • Hoxit, L. R., and C. F. Chappell (1975), Tornado outbreak of April 3–4, 1974: Synoptic analysis, NOAA Tech. Rep. ERL-338-APCL-37, Natl. Oceanic. and Atmos. Admin., Boulder, Colo. (Available at http://www.ncdc.noaa.gov/oa/climate/extremes/1999/april/TornOut.pdf).
  • Iacono, M. J., E. J. Mlawer, S. A. Clough, and J.-J. Morcrette (2000), Impact of an improved longwave radiation model, RRTM, on the energy budget and thermodynamic properties of the NCAR Community Climate Model, CCM3, J. Geophys. Res., 105, 14,87314,890.
  • Intergovernmental Panel on Climate Change (2001), Climate Change 2001: The Scientific Basis: Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change, edited by J. T. Houghton et al., 881 pp., Cambridge Univ. Press, New York.
  • Johns, R. H., J. M. Davies, and P. W. Leftwich (1993), Some wind and instability parameters associated with strong and violent tornadoes: 2. Variations in the combinations of wind and instability parameters, in The Tornado: Its Structure, Dynamics, Prediction and Hazards, Geophys. Monogr., vol.79., edited by C. Church et al., pp. 583590, AGU, Washington, D. C.
  • Kain, J. S. (2004), The Kain–Fritsch convective parameterization: An update, J. Appl. Meteorol., 43, 170181.
  • Kain, J. S., S. J. Weiss, J. J. Levit, M. E. Baldwin, and D. R. Bright (2006), Examination of convection-allowing configurations of the WRF model for the prediction of severe convective weather: The SPC/NSSL spring program 2004, Weather Forecasting, 21, 167181.
  • Kalnay, E. (1996), The NCEP/NCAR 40-Year reanalysis project, Bull. Am. Meteorol. Soc., 77, 437471.
  • Lilly, D. K. (1986), The structure, energetics and propagation of rotating convective storms. Part I: Energy exchange with the mean flow, J. Atmos. Sci., 43, 113124.
  • Lin, Y.-L., R. D. Farley, and H. D. Orville (1983), Bulk parameterization of the snow field in a cloud model, J. Clim. Appl. Meteorol., 22, 10651092.
  • Meehl, G. A., J. M. Arblaster, and C. Tebaldi (2005), Understanding future patterns of increased precipitation intensity in climate model simulations, Geophys. Res. Lett., 32, L18719, doi:10.1029/2005GL023680.
  • Michalakes, J., S. Chen, J. Dudhia, L. Hart, J. Klemp, J. Middlecoff, and W. Skamarock (2001), Development of a next generation regional weather research and forecast model, in Developments in Teracomputing: Proceedings of the Ninth ECMWF Workshop on the Use of High Performance Computing in Meteorology, edited by W. Zwieflhofer, and N. Kreitz, pp. 269276, World Sci. Hackensack, N. J.
  • 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, 16,66316,682.
  • NOAA (2005), Natural hazard statistics (Cited 2005), Off. Clim., Water, Weather Svc., Silver Spring, Md. (Available at http://www.nws.noaa.gov/om/hazstats.shtml).
  • Noh, Y., W. G. Cheon, S.-Y. Hong, and S. Raasch (2003), Improvement of the K-profile model for the planetary boundary layer based on large eddy simulation data, Boundary Layer Meteorol., 107, 401427.
  • Pal, J., E. Small, and E. Eltahir (2000), Simulation of regional-scale water and energy budgets: Representation of subgrid cloud and precipitation processes within RegCM, J. Geophy. Res., 105(D24), 29,57929,594.
  • Pal, J. S., et al. (2007), Regional climate modeling for the developing world: The ICTP RegCM3 and RegCNET, Bull. Am. Meteorol. Soc., 88, 13951409.
  • Schlesinger, M. E., and S. Malyshev (2001), Changes in near-surface temperature and sea-level for the Post-SRES CO2-stabilization scenarios, Integrated Assess., 2, 95199.
  • Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, W. Wang, and J. G. Powers (2005), A description of the Advanced Research WRF Version 2, NCAR Tech. Note, NCAR/TN-468+STR, 88 pp., Natl. Cent. for Atmos. Res., Boulder, Colo.
  • Tebaldi, C., K. Hayhoe, J. M. Arblaster, and G. A. Meehl (2006), Going to the extremes: An intercomparison of model-simulated historical and future changes in extreme events, Clim. Change, 79, 185211, doi:10.1007/s10584-006-9051-4.
  • Trapp, R. J., S. A. Tessendorf, E. S. Godfrey, and H. E. Brooks (2005a), Tornadoes from squall lines and bow echoes. Part I: Climatological distribution, Weather Forecasting, 20, 2334.
  • Trapp, R. J., G. J. Stumpf, and K. L. Manross (2005b), A reassessment of the percentage of tornadic mesoscyclones, Weather Forecasting, 20, 680687.
  • Trapp, R. J., D. M. Wheatley, N. T. Atkins, R. W. Przybylinski, and R. Wolf (2006), Buyer beware: Some words of caution on the use of severe wind reports in post-event assessment and research, Weather Forecasting, 21, 408415.
  • Warner, T. T., and H.-M. Hsu (2000), Nested-model simulation of moist convection: The impact of coarse-grid parameterized convection on fine-grid resolved convection, Mon. Weather Rev., 128, 22112231.
  • Weaver, C. P., and R. Avissar (2001), Atmospheric disturbances caused by human modification of the landscape, Bull. Am. Meteorol. Soc., 82, 269281.
  • Weisman, M. L., and J. B. Klemp (1982), The dependence of numerically simulated convective storms on vertical wind shear and buoyancy, Mon. Weather Rev., 110, 504520.
  • Weisman, M. L., and J. B. Klemp (1984), The structure and classification of numerically simulated convective storms in directionally varying wind shears, Mon. Weather Rev., 112, 24792498.
  • Weisman, M. L., W. C. Skamarock, and J. B. Klemp (1997), The resolution dependence of explicitly modeled convective systems, Mon. Weather Rev., 125, 527548.
  • Weisman, M. L., C. Davis, J. Done, W. Wang, and J. Bresch (2004), Real-time explicit convective forecasts using the WRF model during the BAMEX field program, Preprints, 20th Conf. on Weather Analysis and Forecasting/16th Conf. on Numerical Weather Prediction, no. 12.4, Amer. Meteor. Soc., Seattle, Wash. (Available at http://ams.confex.com/ams/84Annual/techprogram/paper_72169.htm).
  • Weiss, S., J. Kain, J. Levit, M. Baldwin, D. Bright, G. Carbin, and J. Hart (2005), SPC/NSSL Spring Program 2005: Program overview and operations plan, NOAA, Silver Spring, Md. (Available at http://www.spc.noaa.gov/exper/Spring_2005/2005_ops_plan.pdf).