日本財団 図書館


Obviously, institutional health is absolutely critical. That requires stable founding. I think you have that. Commitment to the highest quality, and that is much easier said than done. It is lot easier to hire people than to create excellence. It requires commitment to personal and institutional integrity and sometimes your institution may not wish you to do that. Commitment to basic science, I can assure you that the institutions above you will regard this more about threat than a necessity. Yet you have to fight for that. Yet you have to have commitment to your key applications and the key applications in this case will be focusing on South East Asia. Will you make the best possible model by focusing on only South East Asia? No, you won't. The patience to do both of these basic science and key applications is also required.

This is the phrase that I created about decade ago, "Hardware/Brain ware ratio" Hardware/Brain ware ratio, how much are you spending on the equipment and staff, how much are you spending on human power. Satellite for example, has a Hardware/Brain ware ratio United States of the ordered 100 to 1. Not 1. We have tremendous investments in this. The fact that you may be cursed with the best computer system in the world, something that surely has occurred to you because this ratio being very high. Questions how do you assemble the brain ware necessary to be consistent with this tremendous asset.

The freedom to try new approaches. Institutional strengths to abandoning unproductive approaches or ones irrelevant to the goal. Commitment to collaborative efforts where you are not likely getting resources from other people, but providing information and value with the other people. Properly rewards for team efforts. It is a monster issue. You have to be very much aware that. This is a Jerry special here, "Disrespect for organization charts but at the same time, respect for organization's goals".

 

Dr. Maurice Blackmon (NCAR):

I agree almost everything Jerry said, but I'd like to amplify a few points. We need to recognize that the value of our products, whatever it's going to be, increases dramatically when we reduce uncertainty, reduce the biases, and produce more accurate products. Let me just show you one slide which shows the problem that we're in. This is from the data from the most recent IPCC report and only seven models have been selected.

 

 

 

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