Wednesday, November 6, 2013

Methodologies for regional downscaling

		Pl-A3-01: M. Deque Overview of dynamical downscaling methods
		Pl-A3-02: B. Timbal Statistical downscaling methods
		Pl-A3-03: R. Jones Sources of uncertainty in regional climate information
		Pl-A3-04: D. Waliser Developing a systematic set of observations, diagnostics/metrics and tools for evaluating Regional Climate Models
		Pl-A3-05: W. Gutowski Performance metrics
		Pl-A3-06: M. Juckes Plans for CORDEX data archival and access through ESGF
		Pl-A3-07: G. Lenderink Added value and signal-to-noise in an eight-member ensemble of the KNMI regional climate model RACMO2 at 12 km resolution
		Pl-A3-08: F. Otto Quantifying changes in risk of extreme weather events attributable to anthropogenic climate change using regional climate models
		Pl-A3-09: H. Haensler Comparison of projected climate change signals of REMO over overlapping regions of several CORDEX domains
		Pl-A3-10: D. Wuebbles Regional climate science for the 3rd U.S. National Climate Assessment
		Pl-A3-11: A. Mezghani Improving the quality of regional climate projections by joining empirical-statistical and dynamical downscaling
		Pl-A3-12: J. M. Guiterrez The statistical downscaling portal. An end-to-end tool for regional impact studies

Back to the programme at a glance