- NSSL/FRDD Rm 4368, 120 David L. Boren Boulevard, Norman, OK 73072
- Lastest Update:
- July 28th, 2011
I am currently involved in research in a number of areas:
- Nonhydrostatic atmospheric model development (particularily numerical methods used to solve the compressible Euler equations)
- Dynamics of severe storms and tornadogenesis
- Radar and other in situ observations of supercell thunderstorms
- The development of ensemble Kalman filter data assimilation techniques for convection
- Numerical weather prediction at meso- and convective scales (a.k.a. Warn on Forecast)
I have a broad set of research interests which generally are focused on numerical analysis, simulation, and forecasts of severe convection and tornadoes. My original research interests in supercells and tornadoes can be traced back to nearly my high school days in the late 1970s. While obtaining my undergraduate and Master's degrees at University of Oklahoma in the 1980s, I became an avid storm chaser and eventually was fortunate enough to be able to work on some of the first in situ deployments of instruments near severe storms with my mentors: Howie Bluestein (OU) and later Don Burgess and Bob Davies-Jones (NSSL). I got the modeling bug while doing my work with Dr. Tzvi Gal-Chen on satellite temperature assimilation for my Master's degree, and was fortunate enough to be able to work on a Ph.D. with Dr. Bob Wilhelmson at the University of Illinois on numerical simulations of tornadogenesis. This work was facilitated by the newly formed NSF computing center, the National Center for Supercomputing Applications, where I became very involved with the newly developing paradigm of "computational science" that is now ubiquitous across most scientific disciplines. During most of the 1990s I was a professor of Atmospheric Sciences at Texas A&M University. In 1999 I was very fortunate to be able to return to my meteorological roots here in Norman as a scientist at the National Severe Storms Lab. My work today continues to focus on severe storms and tornadoes. I very much believe (and history I think demonstrates this clearly) that increasing our scientific understanding of these phenomena directly leads to better forecasts and warnings for the public.
Current Research Interests and Associated Publications
Dynamics of severe storms and tornadoes
Wandishin, M., D. Stensrud, S. Mullen, and L. J. Wicker, 2009: On the predictability of mesoscale convective systems: Three-dimensional simulations. Mon. Wea. Rev., 138, 863-885. DOI: 10.1175/2009MWR2961.1.
Gilmore, M. S., and L. J. Wicker, 2002: Influences of the local environment on supercell cloud-to-ground lightning, radar characteristics, and severe weather on 2 June 1995. Mon. Wea. Rev., 130, 2349-2372.
Wicker, L. J., and R. B. Wilhelmson, 1995: Simulation and analysis of tornado development and decay within a three-dimensional supercell thunderstorm. J. of Atmos. Sci., 52, 2675-2703.
Observation and analyses of supercells and tornadoes
Skinner, P. S., C. C. Weiss, J. L. Schroeder, L. J. Wicker, and M. I. Biggerstaff, 2011: Observations of the surface boundary structure within the 23 May, 2007 Perryton, Texas supercell. Mon. Wea. Rev. In press. PDF available here.
French, M., H. B. Bluestein, D. C. Dowell, L. J. Wicker, M. R. Kramer, and A. L. Pazmany, 2008: An example of the use of mobile, Doppler radar data in tornado verification. Wea. Forecasting., 24, 884-891.
French, M., H. B. Bluestein, D. C. Dowell, L. J. Wicker, M. R. Kramer, and A. L. Pazmany, 2008: High-resolution, mobile, Doppler observations of cyclic mesocyclogenesis in a supercell. Mon. Wea. Rev., 136, 4997–5016. DOI: 10.1175/2008MWR2407.1.
Dowell, D. C., C. R. Alexander, J. M. Wurman, and L. J. Wicker, 2005: Reflectivity patterns and wind-measurement errors in high-resolution radar observations of tornadoes. Mon. Wea. Rev., 133, 1501–1524.
Recent papers on the development of data assimilation methods for convective storms
Dawson II, Daniel T., L. Wicker, E. R. Mansell, and R. L. Tanamachi, 2011: Impact from the environmental wind profile on ensemble forecasts of the 4 May 2007 Greensburg tornado and its associated mesoscyclones. Mon. Wea. Rev., In press. PDF available here.
Dowell, D. C., L. J. Wicker, and C. Snyder, 2011: Ensemble Kalman filter assimilation of radar observations of the 8 May 2003 Oklahoma City supercell: Influences of reflectivity observations on storm-scale analyses. Mon. Wea. Rev., 139 272–294. PDF available here.
Dowell, D. C., and L. J. Wicker, 2009: Additive noise for storm-scale ensemble forecasting and data assimilation. J. Atmos. Ocea. Tech., 26 911-927. DOI: 10.1175/2008JTECHA1156.1.
Stensrud, D., M. Xue, L. J. Wicker, K. E. Kelleher, M. P. Foster, J. T. Schaefer, R. S. Schneider4, S. G. Benjamin, S. S. Weygandt, J. T. Ferree, and J. P. Tuell, 2009: Convective-scale Warn on Forecast: A Vision for 2020. Bull. Amer. Meteor. Soc., 90 1487-1499. DOI: 10.1175/2009BAMS2795.1.
Numerical methods for nonhydrostatic models
Wicker, L. J., 2009: A two-step Adams-Bashforth-Moulton split-explicit integrator for compressible atmospheric models. Mon. Wea. Rev., 137 3588-3595. DOI: 10.1175/2009MWR2838.1
Wicker, L. J., and W. C. Skamarock, 2002: Time-splitting methods for elastic models using forward time schemes. Mon. Wea. Rev., 130, 2088–2097.
Wicker, L. J., and W. C. Skamarock, 1998: A time splitting scheme for the elastic equations incorporating second-order Runge-Kutta time differencing. Mon. Wea. Rev., 126, 1992–1999.
To search my complete list of recent publications, please see NSSL's Publications Search.
Louis J. Wicker (.pdf, last updated 27 July 2012)
Using Git and Dropbox
Python in computational science
Reproducible research in computational science
Randy LeVeque: Wave propagation software, computational science, and reproducible research (.pdf, 412 kB)