Aug. 2013 : Ph.D., Geosciences, Penn State University.
Jun. 2010 : M.Sc., Geosciences, Penn State University.
Apr. 2007 : B.Sc.,Environmental Sciences (Physical Stream), York University.
My research centers on the question of how we can improve current multi-model prediction methods, and how does the application of the improved methods change future climate projections. Specific application areas are Atlantic Meridional Overturning Circulation (AMOC) and, regional surface temperatures.
R. Olson, W. Chang, K. Keller, M. Haran, K. L. Ruckert, and S.-I. An: Stilt - a package for Gaussian process interpolation of vector data in multi-dimensional space. In preparation for The R Journal.
R. Olson, S.-I. An, Y. Fan and J. P. Evans: Bayesian Model Variability Averaging for red noise stochastic dynamical systems. In preparation for Geoscientic Model Development.
F. Ji, J. P. Evans, A. Di Luca, N. Jiang, R. Olson, L. Fita, D. Argueso, L. T. -C. Chang, Y. Scorgie and M. Riley: Projected change in characteristics of near surface temperature inversions for Southeast Australia. In review at Climate Dynamics.
R. Olson, S. -I. An, Y. Fan, J. P. Evans and L. Caesar (2017): North Atlantic observations sharpen meridional overturning projections. Climate Dynamics, doi:10.1007/s00382-017-3867-7.
J. Shin, R. Olson and S. -I. An: Heat wave projections for the Korean Peninsula in the 21st century. Accepted to Asia-Pacific Journal of Atmospheric Sciences.
Y. Fan, R. Olson and J. P. Evans (2017): A Bayesian posterior predictive framework for weighting ensemble regionl climate models. Geoscientific Model Development, 10, 2321-2332, doi:10.5194/gmd-10-2321-2017.
Evans, J. P., D. Argueso, R. Olson, A. Di Luca (2016): Future projections of extreme rainfall in south-east Austrailia. Theoretical and Applied Climatology, doi:10.1007/s00704-016-1949-9.
Olson, R. Fan, Y. and Evans, J. P : A simple method for Bayesian Model Averaging of regional climate projections: application to south-east Australian temperatures. Geophysical Research Letters, 43, doi:10.1002/2016GL069704.
Olson, R., J.P. Evans, A.Di Luca and D. Argueso: The NARCliM project: model agreement and significance of climate projections. Climate Research, 69, 209-227.
Evans, J. P., R. Olson, L. Fita, D.Argueso and A.Di Luca (2015): NARCliM model performance including teleconnectinos with climate modes. 21st International Congress on Modeling and Simulation, Gold Coast, Australia, 29 Nove-4 Dec 2015.
Chang, W., M. Haran, R. Olson, and K. Keller (2014): "A composite likelihood approach to computer model calibration with high-dimensinal spatial data". Statistica Sinica, 25, pp. 243-259
Chang. W., M. Haran, R. Olson, and K. Keller (2014): Fast dimension-reduced climate model calibraion. (2nd place winner of the 2014 American Statistical Association Section on the Statistics and the Environment Studuent Paper Competition). Annals of Applied Statistics, 8(2), pp. 649-673.
Olson R., R. Sriver, M. Haran, W. Chang, N. M. Urban, and K. Keller (2013): What is the effect of unresolved internal climate variability on climate sensitivity estimates? Journal of Geophysical Research - Atmospheres, 118, doi: 10.1002/jgrd.50390.
Sriver, R., N. Urban, R. Olson, and K. Keller (2012): Towards a physically plausible upper bound of sea-level projections. Climatic Change, 115, pp. 893-902.
Tuana N., R. Sriver, T. Svoboda, R. Olson, P. Irvine, J. Haqq-Misra, and K. Keller (2012): Towards integrated ethical and scientific analysis of geoengineering: A research agenda. Ethics, Policy & Environment. 15(20, pp. 136-155.
Bhat, K. S., M. Haran, R. Olson, and K. Keller (2012): Inferring likelihoods and climate system characteristics from climate models and multiple tracers. Environmetrics, 23(4), pp. 345-362.
Olson R., R. Sriver, M. Goes, N. M. Urban, H. D. Matthews, M. Haran, and K. Keller (2012): A climate sensitivity estimate using Bayesian fusion of instrumental observations and an Earth System model, Journal of Geophysical Research - Atmospheres, 117(D04103), doi:10.1029/2011JD016620.