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And of course, global warming is an important target. Then the new generation modeling project presented as Dr. Matsuno and others. Then here is a new one. I have kept it in my mind and hope this project. Data assimilation for climate variability by use of a coupled model. This is an inverse problem. The data are mostly remote sensing data, plus voluntary ship data and Argo buoy data. What should be sought or to be determined? Probably they are air-sea fluxes, heat flux, fresh water flux and momentum flux, and then we know flux corrections. Then through this analysis we may be able to solve the flux adjustment problem.

 

Dr. Toshio Yamagata (Climate Variations Research Program):

I used to be an amateur tennis player and if things are going well we should not change the direction, just carry on. Thus I Iike to show the current activities. Our research program consists of 3 groups.

First is the model group. This is really international in members. The key words are here: Indian Ocean dipole, MOM3, POM, FrAM, coupled model and so on. FrAM which we recently developed is an atmosphere model developed by oceanographers, so we gave the name FrAM after well-known research vessel. We stress the cooperation with our sister institute IPRC and also EU and we started cooperation with IRI by sending a young scientist. Also we are very active in collaboration with the National Aeronautics Laboratory by using the NWT (Numerical Wind Tunnel), which is the prototype of the vector parallel computer installed at the ECMWF and from which the Earth Simulator has evolved. And also we are cooperating with the National Institute for Earth Science and Disaster Prevention (NIED). NIED developed a nice coupled model, which successfully reproduce the Indian Ocean dipole and even the Indian Ocean subtropical dipole. On the other hand so far we don't have an ocean weather forecast model until ours started. It is a multiply nested model centered at Japan. This project is called Japan Coastal Ocean Prediction Experiment (JCOPE). We start the collaboration with the Mediterranean group. They developed a very nice prediction model. Hopefully we like to introduce a nested coupled GCM. Today we listened to a very interesting talk about high-resolution atmospheric regional model. Hopefully in the future JCOPE will merge with this atmospheric group.

The diagnostic study group has evolved from a group at the University of Tokyo lead by Dr. Nakamura starting about 5 years ago. Here I write several key words (not shown). This group is very active and also actively cooperating with a EU group. I am suggesting this group to strengthen studies of interaction among different scale phenomena. Interaction among different time and space scales is very important. Today I spoke only seasonal variations but that kind plays major roles, in my viewpoint, in decadal and centennial variations.

 

 

 

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