- NSSL/FRDD Rm 3332, 120 David L. Boren Boulevard, Norman, OK 73072
- Lastest Update:
- April 14, 2016
- Nonhydrostatic atmospheric model development (particularily numerical methods used to solve the compressible Euler equations)
- The use of ensemble Kalman filter data assimilation techniques for storm-scale analysis and prediction
- Dynamics and predictability of severe storms and tornadogenesis
- Radar and other in situ observations of supercell thunderstorms
As part of that work, I am interested in a number of related scientific problems....
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
Dahl, J., M. D. Parker and L. J. Wicker, 2014: The roles of ambient and storm-generated vorticity in the development of near-ground rotation in a simulated supercell. J. Atmos. Sci., 3027-3051. PDF Available Here
Dawson II, D. T., E. R. Mansell, Y. Jungsun, L. J. Wicker, M. R. Kumjian, and M. Xue 2014: Low-level Zdr Signatures in Supercell Forward Flanks: The Role of Size Sorting and Melting Hail. J. Atmos. Sci. 71, 276-299. PDF Available Here
Observation and analyses of supercells and tornadoes
Skinner, P. S., C. C. Weiss, L. J. Wicker, C. K. Potvin, D. C. Dowell, 2015: Forcing mechanisms for an internal rear-flank downdraft momentum surge in the 18 May 2010 Dumas, Texas supercell. Mon. Wea. Rev., 143, 4305–4330, PDF available here.
Potvin, C. K., L.J. Wicker, D. Betten, M. I. Biggerstaff, and A. Shapiro, 2013: Comparison between storm-scale dual-Doppler and EnKF wind analyses: The 29-30 May 2004 Geary, Oklahoma, supercell thunderstorm. Mon. Wea. Rev., 141, 1612-1628, PDF available here.
Recent papers on the development of data assimilation methods for convective storms
Yussouf, N., D. C. Dowell, L. J. Wicker, K. Knopfmeier, and D. M. Wheatley, 2015: Storm-scale data assimilation and ensemble forecasts for the 27 April 2011 severe weather outbreak in Alabama., Mon. Wea. Rev., 143, 3044-3066. PDF Available Here
Sobash, R. A. and L. J. Wicker, 2015: On the impact of additive noise in storm-scale EnKF experiments., Mon. Wea. Rev., 143, 3067-3086. PDF Available Here
Dawson II, D. T., L. J. Wicker, E. R. Mansell, and M. Xue 2013: Low-level Polarimetric Radar Signatures in EnKF Analyses and Forecasts of the 8 May 2003 Oklahoma City Tornadic Supercell: Impact of Multi-moment Microphysics and Comparisons with Observations. Advances In Meteorology, Article ID 818394, 13 pp., PDF Available Here
Numerical methods for nonhydrostatic models
Flyer, N., G. Barnett, L. J. Wicker, 2016: Enhancing finite differences with radial basis functions: Experiments on the Navier–Stokes equations. J. Comp. Phys., 316 39-62. DOI: PDF Available Here
Wicker, L. J., 2009: A two-step Adams-Bashforth-Moulton split-explicit integrator for compressible atmospheric models. Mon. Wea. Rev., 137 3588-3595. DOI: PDF Available Here
Wicker, L. J., and W. C. Skamarock, 2002: Time-splitting methods for elastic models using forward time schemes. Mon. Wea. Rev., 130, 2088–2097.
To search my complete list of recent publications, please see NSSL's Publications Search or download my curriculum vitae below.
Louis J. Wicker (.pdf, last updated 14 April 2016)
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)