Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Issue161 durack1 1p0p0 tag commit #199

Merged
merged 2 commits into from
Jan 9, 2015
Merged

Issue161 durack1 1p0p0 tag commit #199

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
10af228
Merge branch 'pcmdi_master'
durack1 Jan 5, 2015
65ae525
Finalise Readme.md with zenodo DOI
durack1 Jan 5, 2015
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ PCMDI metrics package
[![stable version](https://img.shields.io/badge/stable version-1.0.0-brightgreen.svg)](https://github.com/PCMDI/pcmdi_metrics/releases/tag/1.0.0)
![repo size](https://reposs.herokuapp.com/?path=PCMDI/pcmdi_metrics)
![platforms](https://img.shields.io/badge/platforms-linux | osx-lightgrey.svg)
[![DOI](https://img.shields.io/badge/DOI-10.5281/zenodo.xxxxx-orange.svg)](https://doi.org/10.5281/zenodo.xxxxx)
[![DOI](https://img.shields.io/badge/DOI-10.5281/zenodo.13673-orange.svg)](https://doi.org/10.5281/zenodo.13673)

The PCMDI metrics package is used to objectively compare results from climate models with observations using well-established statistical tests. Results are produced in the context of all model simulations contributed to CMIP5 and earlier CMIP phases. Among other purposes, this enables modeling groups to evaluate changes during the development cycle in the context of the structural error distribution of the multi-model ensemble. Currently, the comparisons are focused on large- to global-scale annual cycle performance metrics.

Expand Down