Project 2.1

Improving the quality and ease of use of climate information

Investigators: Nicholas (lead), Forest, Keller, Haran, Sriver, Reed

Project 2.1 seeks to address the following questions: i) How skillful are current empirical-statistical downscaling tools in their representation of decision-relevant information (e.g., modes and tails of relevant probability density functions or the spatio-temporal correlation structure) on regional to local scales? (ii) What are the inherent trade-offs between downscaling and emulation strategies (e.g. statistical emulators based on observational data versus mechanistic/process emulators based on model ensembles) for generating climate information for IA and IAV? The project will address these questions through the development, testing, and application of tools and data sets to IAM and IAV analyses.

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