Reply to “Comments on ‘The North American Regional Climate Change Assessment Program: Overview of Phase I Results'”

Date
2013-07-01
Authors
Gutowski, William
Mearns, Linda
Bukovsky, Melissa
Leung, Ruby
Qian, Yun
Takle, Eugene
Arritt, Ray
Gutowski, William
Takle, Eugene
Biner, Sébastien
Caya, Daniel
Correia, James
Jones, Richard
Sloan, Lisa
Snyder, Mark
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Agronomy
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AgronomyGeological and Atmospheric Sciences
Abstract

The authors of Mearns et al. (2012) are aware of the role of driving RCMs with reanalyses and have written extensively on the roles of different types of regional climate models (RCMs) simulations (e.g., Giorgi and Mearns 1999; Leung et al. 2003). Thus, we agree that the skill of dynamical downscaling in which global reanalysis is used to provide boundary conditions in general indicates an upper bound of skill compared to dynamical downscaling in which the boundary conditions come from global climate model simulations. This finding has long been established, as global climate model simulations cannot outperform global reanalysis in providing boundary conditions since the latter is constrained by observations through data assimilation (that is, unless the reanalyses themselves have been shown to have serious deficiences; e.g., Cerezo-Mota et al 2011). The classification of different types of dynamical downscaling introduced by Castro et al. (2005) further adds clarity to this point.

Comments

This article is from Bull. Amer. Meteor. Soc., 94, 1077–1078. doi: http://dx.doi.org/10.1175/BAMS-D-13-00013.1. Posted with permission.

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