Ron currently is a co-PI on an LDRD to develop Bayesian stochastic inversion methods to determine optimal source term characteristics based on measurements of an atmospheric release. He also is creating an Atmospheric Modeling Testbed for researchers to rapidly assemble weather analysis, forecasting, and dispersion models linked to large meteorological data sets and visualization tools.
His research interests include:
- Mesoscale meteorological modeling and analyses
- Inverse and receptor-oriented modeling and source reconstruction methods
- Modeling atmospheric releases of chemical, biological, radiological, and nuclear material
- Model evaluation studies
- Air quality and aerosol science studies
- Wind and solar energy studies
- Boundary layer, satellite, mountain, urban, forensic, and agricultural meteorology
Honors and Awards
- LLNL Directorate Gold Awards in 2011, 2009, 200, 2005, and 2004
Selected (Recent) Publications
Mirocha, J. D., M. D. Simpson, J. D. Fast, L. K. Berg, & R. L. Baskett (2015) Investigation of lower-atmospheric wind predictions during low-level jet events using the Weather Research and Forecasting model. Accepted for publication in
Lucas, D.D., Gowardhan, A., Johanesson, G, Cameron-Smith, P.J., & Baskett, R.L. (2014) Atmospheric Source Estimation with Uncertainty Quantification for Urban Scales.