Exploring precipitation pattern scaling methodologies and robustness among CMIP5 models

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

doi:https://doi.org/10.5194/gmd-10-1889-2017

Articles | Volume 10, issue 5

https://doi.org/10.5194/gmd-10-1889-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-10-1889-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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

Supplement

https://doi.org/10.5194/gmd-10-1889-2017-supplement

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 https://doi.org/10.5281/zenodo.495632

Model code and software

CMIP5 Patterns Cary L., C. Hartin, B. Bond-Lamberty, and B. Kravitz https://github.com/JGCRI/CMIP5_patterns

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.