monsoon (AA monsoon) plays a key role in affecting the
livelihood of Asian and Australian region where more
than 60% of the world population live. The agricultural,
industrial, and economic productivities are heavily
dependent on the variability of the monsoon in this
region. In addition to this, there is strong linkage
of the AA monsoon system to the global climate system,
it can not be emphasized to much on its importance.
Therefore better understanding and prediction of the
AA monsoon are needed.
GCM(AGCM) have been widely used in predicting the monsoon.
With all its progression and success, AGCM still has
many predictability limitations. In a climate modeling
sense, the intercomparisons between various AGCMs has
a lot of advantages in improvement over the individual
processes modifying a single model. It can help to pick
up common problems, limitations and differences appearing
in various AGCM models according to various treatments
in their constructing a model, and understandings causing
these will be very helpful to improve and individual
model. So, the AGCM intercompany was proposed to promote
the performance in AGCM and the monsoon predictability.
The AGCM intercomparison
program was initiated right after the WCRP/CLIVAR Asian-Australian
Monsoon Panel meeting held in Kyong-ju, Korea in April,
1998. The main foci of this program are intercomparing
intraseasonal oscillation, monsoon dynamics and hydrology,
atmosphere-ocean interaction, and global heat budget
at the top of atmosphere and the surface in atmospheric
GCMs. 14 GCM groups from 8 countries, that is CSIRO/Australia,
IAP/China., IITM/India, MRI and CCSR in Japan, SNU/Korea,
DNM/Russia, NCAR, GEOS(NASA), SUNA/GSFC(NASA), GFDL,
COLA in U.S., UKMO/U.K. and NTU/Taiwan gave their interests
in participating this program and are doing this monsoon
intercomparison experiment with their models. In this
page, we will give the outline of participating
modeling groups, experimental design, Participaing Models, on-line model outputs, analysis results, news letters, and relevant other links.