I am a climate scientist studying the mathematical and physical aspects of the climate system. My research focuses on atmospheric dynamics, climate modeling, and ocean-atmosphere interaction. I work with global and regional models of climate to study phenomena such as midlatitude storms, tropical cyclones, and global modes of low-frequency variability. An important goal of my research is to help improve predictions of weather and climate. Foreknowledge of sea surface temperature can be used to predict the evolution of atmospheric flow. Coupled climate models can help predict the evolution of sea surface temperatures on time scales of months to years.

My recent research addresses the following science questions:

  • What is the influence of large-scale phenomena such as El Niño and the Atlantic Meridional Mode on tropical cyclone activity?

  • Do mesoscale eddies in the ocean affect atmospheric storms in the middle latitudes?

  • Can statistical and machine learning approaches be used to analyze the relationship between atmospheric state and satellite measurements of rainfall?

I use a hierarchy of weather and climate models running on supercomputers, as well as statistical data analysis, to answer these questions. I have taught courses at both the undergraduate and graduate level, on the topics of atmospheric science, climatology, geophysical fluid dynamics, statistical methods, and computer programming. Further biographical details can be found in the bio page.

Some of my recent presentations can be found in the Presentations page

I also have a keen interest in the innovative use of computers in scientific research and more recently, in classroom teaching. (For more info, see the Software page.)

You can also view my work web site.

Hurricane Isabel photo taken on September 15, 2003 from International Space Station ( NASA), superimposed with Cray-1 supercomputer photo by Clemens Pfeiffer ( CC BY 2.5 license).