|Bldg 33, Room C116|
|Greenbelt, MD 20771|
Specific interests in developing new methods to detect, estimate, characterize and predict for natural variabilities and climate changes, and in the studying of variability and predictability of the Madden-Julian Oscillation; and short-term climate and dynamical seasonal forecasting.
Dr. Yehui Chang received a BS in Physics from ECNU in 1982, and a Ph.D., in Geophysical Fluid Dynamics from the Florida State University in 1994. He took a lectureship in Physics in the Nanjing College of Economics from 1982 to 1987. From 1994 to 2001, he served as senior scientist in SAIC studying climate and its variability and predictability, the variability and predictability of the Madden-Julian Oscillation, extreme weather events, short term climate and dynamical seasonal forecasting. His specific interest is in developing and applying mathematical, numerical and statistical methods to diagnose and characterize the complex climate systems and the system responses. Such methods are important not only in the detection and estimation of forced signals but provide a clue as to natural variability of a climate system and the accuracy of the data assimilation system. Dr. Chang's publications deal with EOF modeling, diagnostics of climate and the data assimilation system, dynamical seasonal prediction, the impact of ENSO on extratropical low frequency noise in seasonal forecasts and extreme weather events. Dr. Chang joined GEST in September 2001, as Associate Research Scientist at UMBC. In 2011, he became a member of GESTAR.