Klaus Keller (lead), Patrick Applegate, Won Chang, Chris Forest, Rob Lempert, Christian Traeger, Nancy Tuana, David Pollard, Mort Webster

Analyses of climate risk management strategies can hinge critically on assumptions about how fast the current uncertainties may be reduced (i.e., the dynamics of learning). We use observation system simulation experiments to characterize the dynamics of learning about key climate system parameters, properties, and predictions about potential climate threshold responses as a function of current and potentially improved observation systems.

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