Staff

• Research Scientist
• Email: ctebaldi@climatecentral.org

Dr. Tebaldi comes to Climate Central from the Carnegie Institution at Stanford University, where she was a visiting investigator at the Department of Global Ecology. She was previously a Project Scientist at the National Center for Atmospheric Research and continues to collaborate with NCAR scientists. Her research focuses primarily on the statistical analysis of climate change models, focusing on the relation between their performance in simulating current climate and their reliability in predicting future climate change, especially at the regional level. She holds a Ph.D. in statistics from Duke University.

Publications

• G. Meehl, C.Tebaldi, G. Walton, D. Easterling, and L. McDaniel (2009), The relative increase of record high maximum temperatures compared to record low minimum temperatures in the US, Geophys. Res. Lett., 36, L23701, doi:10.1029/2009GL040736 W. M. Washington, R. Knutti, G. A. Meehl, H. Teng, C. Tebaldi, D. Lawrence, L. Buja, and W. G. Strand (2009), How much climate change can be avoided by mitigation? Geophys. Res. Lett., 36, L08703, doi:10.1029/2008GL037074 R. L. Smith, C. Tebaldi, D. Nychka and L.O.Mearns (2009), Bayesian modeling of uncertainty in ensembles of climate models. Journal of the American Statistical Association, Vol. 104, no. 485, pp.97116.
• D. G. Groves, D. Yates, and C. Tebaldi (2008), Developing and applying uncertain global climate change pro jections for regional water management planning, Water Resour. Res., 44, W12413, doi:10.1029/2008WR006964.
• C. Tebaldi  and B. Sanso (2008) Joint pro jections of temperature and precipitation change from multiple climate models: a hierarchical Bayesian approach. Journal of the Royal Statistical Society A, Vol. 172, no. 1, pp. 83-106.
• C. Tebaldi and D. B. Lobell (2008), Towards probabilistic pro jections of climate change impacts on global crop yields. Geophysical Research Letters. , Vol. 35, L08705, doi:10.1029/2008GL033423
• D. B. Lobell, M. B. Burke, C. Tebaldi, M. D. Mastrandrea, W. P. Falcon, and R. L. Naylor (2008), Prioritizing climate change adaptation needs for food security in 2030. Science, Vol. 319, no. 5863, pp. 607-610.
• G. A. Meehl, C. Tebaldi, H. Teng and T. C. Peterson (2007), Current and future U.S. weather extremes and El Nino Geophysical Research Letters, Vol. 34, L20704, doi:10.1029/2007GL031027.
• G. A. Meehl, J. M. Arblaster and C. Tebaldi (2007), Contributions of natural and anthro- pogenic forcing to changes in temperature extremes over the U.S. Geophysical Research Letters, Vol. 34, L19709, doi:10.1029/2007GL030948.
• H. J. Fowler, Blenkinsop, S. and C. Tebaldi (2007), Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling International Journal of Climatology, Vol. 27, no. 12, pp. 1547-1578. C. Tebaldi and R. Knutti (2007), The use of the multimodel ensemble in probabilistic climate pro jections. Philosophical Transactions of the Royal Society (special issue on Probabilistic Climate Change Projections), Vol. 365, pp. 2053-2075.
• C. Tebaldi, K. Hayhoe, J. M. Arblaster, and G. A. Meehl (2006), Going to the extremes: An intercomparison of model-simulated historical and future changes in extreme events. Climatic Change, Vol. 79, pp. 185-211.
• A. Lopez, C. Tebaldi, M. New, D. Stainforth, M. Allen and J. Kettleborough (2006), Two approaches to quantifying uncertainty in global temperature changes. Journal of Climate, Vol. 19, pp. 4785 - 4796.
• G. A. Meehl, J. M. Arblaster and C. Tebaldi (2005), Understanding future patterns of increased precipitation intensity in climate models. Geophysical Research Letters, Vol. 32, L18719, doi:10.1029/2005GL023680.
• C. Tebaldi, R. W. Smith, D. Nychka and L. O. Mearns (2005), Quantifying uncertainty in Projections of Regional Climate Change: a Bayesian Approach to the Analysis of Multi-model Ensembles. Journal of Climate, Vol. 18, pp. 1524-1540.
• C. Tebaldi, L. O. Mearns., D. Nychka and R. W. Smith (2004), Regional probabilities of precipitation change: A Bayesian analysis of multimodel simulations. Geophysical Research Letters, Vol. 31, L24213, doi:10.1029/2004GL021276.
• G. A. Meehl, C. Tebaldi and D. Nychka (2004), Changes in Frost Days in Simulations of 21st Century Climate. Climate Dynamics, Vol. 23, no. 5, pp. 495-512.
• G. A. Meehl and C. Tebaldi (2004), More intense, more frequent and longer lasting heat waves in the 21st century. Science, Vol. 305, no. 5686, pp. 994-997.
• G. A. Meehl, W. M. Washington, C. M. Ammann, J. A. Arblaster, T. M. Wigley and C. Tebaldi (2004), Combinations of natural and anthropogenic forcings in 20th century climate. Journal of Climate, Vol. 17, pp. 3721-3727.