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Promoting Synthesis

How can we better promote/facilitate a) synthesis across forecasts and b) the synthesis required within a subdiscipline/problem needed to build and calibrate forecasts?

I am interested in what we can learn from weather forecasting in terms of promoting synthesis within sub-disciplines.  A common forecasting goal combined with a nexus for comparison of strengths and weaknesses across platforms and models.