Articles | Volume 10, issue 5
Methods for assessment of models
12 May 2017
Methods for assessment of models |  | 12 May 2017

Exploring precipitation pattern scaling methodologies and robustness among CMIP5 models

Ben Kravitz, Cary Lynch, Corinne Hartin, and Ben Bond-Lamberty

Data sets

An open-access CMIP5 pattern library for temperature and precipitation: Description and methodology. C. Lynch, C. Hartin, B. Bond-Lamberty, and B. Kravitz

Model code and software

CMIP5 Patterns Cary L., C. Hartin, B. Bond-Lamberty, and B. Kravitz

Short summary
Pattern scaling is a way of approximating regional changes without needing to run a full, complex global climate model. We compare two methods of pattern scaling for precipitation and evaluate which methods is better in particular circumstances. We also decompose precipitation into a CO2 portion and a non-CO2 portion. The methodologies discussed in this paper can help provide precipitation fields for other models for a wide variety of scenarios of future climate change.