Researcher's Profile

  • Fellow
  • Ping CHANG
  • RCAST Fellow

Biography

August 1988 Ph.D, in atmosphere/ocean science, Princeton University
September 1988 Postdoctoral Felloe, University of Washington
September 1990 Assistant Professor, Department of Oceanography, Texas A&M University
September 1995 Associate Professor, Department of Oceanography, Texas A&M University
September 1998 Professor, Department of Oceanography, Texas A&M University (current position)
August 2010 Louis & Elizabeth Scherck Chair in Oceanography (current position)
September 2014 Fellow, RCAST, The University of Tokyo

Research Interests

Understanding of dynamics of meteorology, climate and ocean, in addition interaction among these (ocean-atmosphere interaction), is of quite importance, not only from the viewpoint of industry and economy, but also from a very wide perspective in our lives, such as natural environment and disaster prevention. For years, I have been tackling many issues concerning the climate dynamics and ocean-atmosphere interaction, especially in the Tropics and Atlantic.
My previous studies have deepen our understanding of long-term variability of the meridionally overturning circulation in the Atlantic Ocean and large-scale coupled ocean-atmosphere variability in the tropical Pacific, namely El Niño/Southern Oscillation, in addition to their climate impacts. Applying these insights obtained for present climate to paleo-climate study, the role of sea surface temperature change and ocean currents in North Atlantic for abrupt climate variability immediately after the Last Glacial Maximum has been revealed, and so to global warming study, enhanced warming along the Kuroshio and Guff Stream has been found.
Recently I have been deeply involved into high-resolution numerical modeling of the climate system, focusing on locally intensified air-sea interaction associated with a tropical cyclone. Now, I am also working on interaction between cloud/precipitation systems and mid-latitude ocean eddies.

Keywords

Climate Dynamics, Climate Syetem Modeling

Related Articles

    page top