Oct. 2016

Curriculum Vitae
Gregory Thompson
Research Applications Laboratory - NCAR
P.O. Box 3000
Boulder, CO 80307-3000
tel: (303) 497-2805
fax: (303) 497-8401
e-mail: gthompsn@ucar.edu


2016:  Doctor of Philosophy, Atmospheric Science, University of Colorado (Advisor: Katja Friedrich)
Dissertation: "Advances in a microphysics parameterization to predict supercooled liquid water and application to aircraft icing."
1993:  Master of Science, Atmospheric Science, Colorado State University (Advisor: William R. Cotton)
Thesis: "Prototype real-time mesoscale prediction during the 1991-92 winter season and statistical verification of model data."
1990:  Bachelor of Science, Meteorology, Pennsylvania State University

Professional Experience:

8/2010 - present:  Project Scientist II, Research Applications Laboratory - NCAR
4/2003 - 7/2010:  Associate Scientist IV, Research Applications Laboratory - NCAR
7/1997 - 3/2003:  Associate Scientist III, Research Applications Program - NCAR
6/1993 - 6/1997:  Associate Scientist II, Research Applications Program - NCAR
3/1993 - 6/1993:  Research Assistant, ASTeR Inc.
8/1990 - 3/1993:  Graduate Research Assistant, Colorado State University

Research Activities:

   The primary focus of my research has been numerical weather modeling, particularly the parameterization of cloud physics and precipitation processes. In collaborations over the last few years, I developed a bulk microphysical parameterization for use in WRF, COAMPS, NEMS, and other mesoscale models consisting of a two-moment representation of cloud water, rain, and cloud ice plus one-moment prediction of snow and graupel. A version of this scheme is used in routine operations in the National Center for Environmental Prediction Rapid Refresh (RAP) model. The latest version of the scheme includes explicit treatment of aerosols as cloud condensation and ice nuclei. The scheme is extensively tested using numerous case studies from various field experiments and frequently compared to microphysical observations from research field projects. Besides observations, the scheme is also compared to various other two-moment bulk schemes (e.g. Morrison, Seifert, Milbrandt) and against results from more sophisticated explicit/bin/spectral schemes (e.g. Geresdi, Khain and Lynn). Simultaneous to improving cloud physics parameterizations in weather models, I have contributed towards the development of automated aircraft and ground icing forecast applications using the output of models and their explicit prediction of supercooled liquid water together with various surface, radar, and multispectral satellite data to create end-user icing hazard products.

   In addition to cloud physics research, I developed software to ingest, decode, visualize and deliver weather data and graphics to the world wide web. This resulted in multiple, comprehensive and complex websites: NCAR-RAP Realtime Weather Data and ADDS. For the latter, I managed/directed software engineers and coordinated with our collaborators at NOAA-FSL and NCEP-AWC. ADDS is extremely popular with pilots of all abilities, major and minor airline dispatchers, and the military. It is also the showcase for products developed by the FAA's Aviation Weather Research Program.

Other Activities:

WMO Cloud Modeling Workshop (2012): Case study co-organizer.
WMO Cloud Modeling Workshop (2008): Workshop co-chair and organizer (with Hugh Morrison).
WMO Cloud Modeling Workshop (2000, 2004): Case study organizer.
ICE-L (2007): Prepare input data and run real-time simulations to support field operations.
IMPROVE-2 (2001): Observe/Photograph/Record snow crystals (and other parameters) during field project.
WISP94 (1994): Forecast and provide general computer/software/data support during field project.
Review articles submitted to Amer. Met. Soc. journals (ongoing).
Prepare/Present weather talks/slideshows for K-12, Universities, and professional societies (ongoing).

Computer Skills:

Proficient in UNIX/Linux, FORTRAN, Perl, NCAR-Graphics, NCL, HTML, PHP, MySQL, Javascript, Matlab


UCAR Outstanding Performance - Science and Technical Achievement (1999)
Government Technology Leadership Award (2000)

Professional Affiliations:

American Meteorological Society (AMS)
American Geophysical Union (AGU)

Refereed Articles:

Thompson, G., M. K. Politovich, and R. M. Rasmussen, 2016: A numerical weather model's ability to predict the characteristics of aircraft icing environments. Wea. and Forecasting, accepted.

Liu, C. and coauthors, 2016: Continental-scale convection-permitting modeling of the current and future climate of North America. Climate Dynamics, accepted.

Ikeda, K., M. Steiner, and G. Thompson, 2016: Examination of mixed-phase precipitation forecasts from the High-Resolution Rapid Refresh model using surface observations and sounding data. Wea. and Forecasting, submitted.

White, B. A., P. Stier, G. Thompson, and H. Morrison, 2016: Can models represent aerosol-convection interactions if the microphysics is uncertain? J. Geophys. Res., submitted.

Brown, B. R., M. M. Bell, and G. Thompson, 2016: Modifications to a partially double moment microphysics parameterization for hurricane simulations J. Advances in Modeling Earth Systems, submitted.

Keeler, J. M., R. M. Rauber, B. F. Jewett, G. M. McFarquhar, R. M. Rasmussen, L. Xue, C. Liu, and G. Thompson, 2016: Dynamics of cloud-top generating cells in winter cyclones. Part III: Shear and convective organization. J. Atmos. Sci., submitted.

Fan, J. and coauthors, 2016: Cloud-resolving model intercomparison of a MC3E squall line case - properties of convective cores. J. Geophys. Res., submitted.

Saide, P., G. Thompson, T. Eidhammer, A. da Silva, R. Pierce, and G. Carmichael, 2016: Assessment of biomass burning smoke influence on environmental conditions for multi-year tornado outbreaks by combining aerosol-aware microphysics and fire emission constraints. J. Geophys. Res., accepted.

Nugent, A. D., G. Thompson, C. D. Watson, and R. B. Smith, 2016: Aerosol impacts on thermally driven orographic convection. J. Atmos. Sci., 73, 3115–3132.

Sarkadi, N., I. Geresdi, and G. Thompson, 2016: Numerical simulation of precipitation formation in the case orographically induced convective cloud: comparison of the results of bin and bulk microphysical schemes. Atmos. Res., 180, 241–261.

Keeler, J. M., B. F. Jewett, R. M. Rauber, G. M. McFarquhar, R. M. Rasmussen, L. Xue, C. Liu, and G. Thompson, 2016: Dynamics of cloud-top generating cells in winter cyclones. Part I: Idealized simulations in the context of field observations. J. Atmos. Sci., 73, 1507–1527.

Keeler, J. M., B. F. Jewett, R. M. Rauber, G. M. McFarquhar, R. M. Rasmussen, L. Xue, C. Liu, and G. Thompson, 2016: Dynamics of cloud-top generating cells in winter cyclones. Part II: Radiative and instability forcing. J. Atmos. Sci., 73, 1529–1553.

Thompson, G., M. Tewari, K. Ikeda, S. Tessendorf, C. Weeks, J. Otkin and F. Kong, 2016: Explicitly-coupled cloud physics and radiation parameterization and subsequent evaluation in WRF high-resolution convective forecasts. Atmos. Res., 168, 92–104.

Jimenez, P. A., J. Hacker, J. Dudhia, S. Haupt, J. A. Ruiz-Arias, C. Gueymard, G. Thompson, T. Eidhammer, and A. Deng, 2016: WRF-Solar: An augmented NWP model for solar power prediction. Bull. Amer. Meteo. Soc., 97, 1249–1264.

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 Convection-allowing WRF Model Simulations. Wea. and Forecasting, 30, 613–638.

Theriault, J.M., J. A. Milbrandt, J. Doyle, G. Thompson, J. Minder and I. Geresdi, 2015: Impact of melting snow on the valley flow field and precipitation phase transition. Atmos. Res., 156, 111–124.

Makkonen, L., G. Thompson, B. E. K. Nygaard, and P. Lehtonen, 2014: Vertical Distribution of Ice Load on Tall Masts and Towers. J. Intl. Assoc. for Shell and Spatial Structures, 55, 175–182.

Morrison, H., J. A. Milbrandt, G. Bryan, K. Ikeda, S. A. Tessendorf, and G. Thompson, 2015: Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part II: Case Study Comparisons with Observations and Other Schemes. J. Atmos. Sci., 72, 312–339.

Hagos, S., Z. Feng, K.-S. Lim, C. N. Long, D. Wu, and G. Thompson, 2014: Evaluation of high resolution simulations of cloud populations in Madden-Julian Oscillation using data collected during AMIE/DYNAMO field campaign. J. Geophys. Res. (Atmos), 119(21), 12052–12068.

Thompson, G. and T. Eidhammer, 2014: A study of aerosol impacts on clouds and precipitation development in a large winter cyclone. J. Atmos. Sci., 71, 3636–3658.

Geresdi, I., N. Sarkadi, and G. Thompson, 2014: Effect of the accretion of water drops on the melting of snowflakes. Atmos. Research, 149, 96–110.

Jones, K. F., G. Thompson, K. J. Claffey, and E. P. Kelsey, 2014: Gamma distribution parameters for cloud drop distributions from multicylinder measurements. J. Appl. Meteor. Climatol., 53, 1606–1617.

Huang, Y., S. T. Siems, M. J. Manton, and G. Thompson, 2014: An Evaluation of WRF Simulations of Clouds over the Southern Ocean with A-Train Observations. Mon. Wea. Rev., 142, 647–667.

Jin, Y., S. Wang, J. Nachamkin, J. D. Doyle, G. Thompson, L. Grasso, T. Holt, J. Moskaitis, H. Jin, R. M. Hodur, Q. Zhao, M. Liu, and M. DeMaria, 2013: The impact of ice phase cloud parameterizations on tropical cyclone prediction. Mon. Wea. Rev., 142, 606–625.

Kim, C. K., M. Stuefer, C. G. Schmitt, A. Heymsfield, and G. Thompson, 2014: Numerical modeling of ice fog in interior Alaska using the Weather Research and Forecasting model. Pure and Appl. Geophys., doi10.1007/s00024-013-0766-7.

Stoelinga, M. T., R. E. Stewart, G. Thompson, and J. Theriault, 2013: Microphysical processes within winter orographic cloud and precipitation systems. Mountain Weather Research and Forecasting, Springer, pp 345–408.

Muhlbauer, A., and Coauthors, 2013: Reexamination of the state of the Art of Cloud Modeling Shows Real Improvements. Bull. Amer. Meteor. Soc., 94, ES45–ES48.

Morrison, H., S. Tessendorf, K. Ikeda, and G. Thompson, 2012: Sensitivity of a simulated mid-latitude squall line to parameterization of raindrop breakup. Mon. Wea. Rev., 140, 2437–2460.

Mahoney, K., M. A. Alexander, G. Thompson, J. Barsugli, and J. D. Scott, 2012: Changes in hail and flood risk in high-resolution simulations over Colorado's mountains. Nature Climate Change, 2, 125–131.

Gutman, E. D., R. M. Rasmussen, C. Liu, K. Ikeda, D. J. Gochis, M. Clark, J. Dudhia, and G. Thompson, 2012: A comparison of statistical and dynamical downscaling of winter precipitation over complex terrain. J. Clim., 25, 262–281.

Heymsfield, A. J., G. Thompson, H. Morrison, A. Bansemer, R. M. Rasmussen, P. Minnis, Z. Wang, and D. Zhang, 2011: Formation and spread of aircraft-induced holes in clouds. Science, 333, 77–81.

Liu, C., K. Ikeda, G. Thompson, R. Rasmussen, and J. Dudhia, 2011: High-resolution simulations of wintertime precipitation in the Colorado headwaters region: Sensitivity to physics parameterizations. Mon. Wea. Rev., 139, 3533–3553.

Rasmussen, R., C. Liu, K. Ikeda, D. Gochis, D. Yates, F. Chen, M. Tewari, M. Barlage, J. Dudhia, W. Yu, K. Miller, K. Arsenault, V. Grubisic, G. Thompson, E. Gutmann, 2011: High-resolution coupled climate runoff simulations of seasonal snowfall over Colorado: A process study of current and warmer climate. J. Clim., 24, 3015–3048.

Ikeda, K., R. M. Rasmussen, C. Liu, D. Gochis, D. Yates, F. Chen, M. Tewari, M. Barlage, J. Dudhia, K. Miller, K. Arsenault, V. Grubisic, and G. Thompson, 2010: Simulation of Seasonal Snowfall over Colorado. Atmos. Res., 97, 462–477.

Morrison, H, G. Thompson, and V. Tatarskii, 2009: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of one- and two-moment schemes. Mon. Wea. Rev., 137, 991–1007.

Morrison, H, G. Thompson, M. Gilmore, W. Gong, R. Leaitch, and A. Muhlbauer, 2009: WMO International Cloud Modeling Workshop, meeting summaries. Bull. Amer. Meteor. Soc., 90, 1683–1686.

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.

Brandes, E., K. Ikeda, G. Thompson, and M. Schönhuber, 2008: Aggregate Terminal Velocity/Temperature Relations. J. Appl. Meteor. Climat., 47, 2729–2736.

Ikeda, K., R. M. Rasmussen, W. Hall, G. Thompson, 2007: Observations of freezing drizzle in extratropical cyclonic storms during IMPROVE-2. J. Atmos. Sci., 64, 3016–3043.

Thompson, G., R.M. Rasmussen, and K. Manning, 2004: Explicit Forecasts of winter precipitation using an improved bulk microphysics scheme. Part I: Description and sensitivity analysis. Mon. Wea. Rev., 132, 519–542.

Stoelinga, M.T., P.V. Hobbs, C.F. Mass, J.D. Locatelli, B.A. Colle, R.A. Houze Jr., A. Rangno, N.A. Bond, B.F. Smull, R.M. Rasmussen, G. Thompson, and B.R. Colman, 2003: Improvement of microphysical parameterization through observational verification experiments (IMPROVE) Bull. Amer. Meteor. Soc., 84, 1807–1826.

Rasmussen, R.M., I. Geresdi, G. Thompson, K. Manning, and E. Karplus, 2002: Freezing drizzle formation in stably stratified layer clouds: The role of radiative cooling of cloud droplets, cloud condensation nuclei, and ice initiation. J. Atmos. Sci., 59, 837–860.

Thompson, G., T.F. Lee, and R. Bullock, 1997: Using Satellite data to reduce areal extent of diagnosed icing. Wea. & Forecasting, 12, 185–190.

Thompson, G., R. Bruintjes, B. Brown, and F. Hage, 1997: Intercomparison of in-flight icing algorithms. Part I: WISP94 real-time icing prediction and evaluation program. Wea. & Forecasting, 12, 878–889.

Brown, B., G. Thompson, R. Bruintjes, R. Bullock, and T. Kane, 1997: Intercomparison of in-flight icing algorithms. Part II: Statistical verification results. Wea. & Forecasting, 12, 890–914.

Cotton, W., G. Thompson, and P. Mielke, 1994: Real-time mesoscale prediction on workstations. Bull. Amer. Meteor. Soc., 75, 349–362.