Wang95b Wang, W. -C., G.-X. Wu, H.-H. Hsu, X.-Z. Liang, C.-Y. Li, W.-S. Kau, A. Samel, K. Sperber and Y. Luo, 1995: Research activities of AMIP Subproject No. 25: GCM simulations of the East Asian Climate (EAC). Abstracts of the First International AMIP Scientific Conference, Monterey, California, 69.

A workshop, "General circulation model simulation of East Asian Climate" was held October 18-20, 1994 at the Atmospheric Sciences Research Center, State University of New York at Albany. The workshop was attended by fourteen scientists from five groups, 1995: several graduate students from SUNYA also participated. Two sessions were organized: the first session (one-day) consisted of presentations of GCM simulations and diagnosis of East Asian climate from the individual groups, 1995: the second session (two-days) included discussion and writing of the workshop document for the planning of future research. The participating groups agreed to hold the Second Workshop, tentatively scheduled for October 17-19, 1995, in Taipei. National Taiwan University will host the Workshop.

The following three studies have been agreed upon by the participants and preliminary results will be presented in the 15-19 May 1995 AMIP Scientific Conference to be held in Monterey, California.

First, both GCM simulations and observations will be analyzed to examine the characteristics relevant to the climatological mean evolution of the EAC, including the seasonal march of western Pacific subtropical high, the south Asian high, the Siberian high, and the onset and retreat of East Asian monsoon. Seasonal and monthly mean states of the model climate will be documented to examine the simulated annual cycle of the model. The quantities include general circulation and precipitation statistics. The spatial and frequency distributions of simulated variance will also be documented to understand simulated climate variabilities in the East Asian and Western Pacific regions. In addition, the evolution of atmospheric circulation will be diagnosed with focus on the abrupt changes identified with the monsoon. Similar analyses will be carried out using ECWMF and CCM2 simulations.

Second, an ensemble of full AMIP runs with different initial conditions will be conducted and the permutation procedure/correlation method used to study EAC predictability. The signal/noise statistics will be analyzed to substantiate significance of results. Third, the sensitivity of EAC to model horizontal resolution will be explored.