Office: Room 305, Marine Science Center
Dr. Ben Kirtman is the program director for the Climate & Environmental Hazards program at the Center for Computational Science. He is also a Professor in the Division of Meteorology and Physical Oceanography at the University of Miami’s Rosenstiel School for Marine and Atmospheric Science (RSMAS). Prior to joining the University of Miami, Dr. Kirtman was a Professor at George Mason University.
In June of 2016, he was appointed Director of CIMAS, the National Oceanic and Atmospheric Administration‘s (NOAA) Cooperative Institute for Marine and Atmospheric Studies.
Dr. Kirtman received his Bachelor’s degree from the University of California at San Diego in Applied Mathematics. He holds Masters and PhD degrees in Meteorology and Physical Oceanography from the University of Maryland–College Park. Dr. Kirtman is very active in scientific leadership both internationally and nationally. Currently, he is a Coordinating Lead Author of the Intergovernmental Panel of Climate Change (IPCC) Assessment Report (AR) Five.
An Executive Editor of Climate Dynamics (one the most prestigious, peer-reviewed journals in the field), Dr, Kirtman is also an Associate Editor of the American Geophysical Union’s (AGU) Journal for Geophysical Research –Atmospheres. He is the author and/or co-author of over 100 peer reviewed papers focused on understanding and predicting climate variability on time scales from intra-seasonal to decadal. Recently, Dr. Kirtman has also published on understanding how climate variability might change in a warmer climate.
Dr. Kirtman has advised and continues to work with several Ph. D. students. His research is wide-ranging program to understand and quantify the limits of climate predictability from days to decades. The research also involves understanding how the climate will change in response to changes in anthropogenic (e.g., greenhouse gases) and natural (e.g., volcanoes) forcing. This research involves hypothesis testing numerical experiments using sophisticated very high resolution state-of-the-art climate models and experimental real-time prediction.