-
Notifications
You must be signed in to change notification settings - Fork 37
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
1 changed file
with
1 addition
and
1 deletion.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -12,7 +12,7 @@ Badge](https://anaconda.org/pcmdi/pcmdi_metrics/badges/downloads.svg)](https://a | |
|
||
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 emphasize large- to global-scale annual cycle performance metrics, although there are v1.1x branches soon be committed to master that include established statistics for ENSO, regional monsoon precipitation, and the diurnal cycle of preciptation. | ||
|
||
The metrics package consists of four parts: 1) Analysis software, 2) an observationally-based database of global (or near global, land or ocean) annual cycle climatologies, 3) a database of performance metrics computed for CMIP models and 4) package documentation. ** Users of the current release (v1.1) will need to contact the PMP developers ([email protected]) to get started.** | ||
The metrics package consists of four parts: 1) Analysis software, 2) an observationally-based database of global (or near global, land or ocean) annual cycle climatologies, 3) a database of performance metrics computed for CMIP models and 4) package documentation. **Users of the current release (v1.1) will need to contact the PMP developers ([email protected]) to get started.** | ||
|
||
The package expects model data to be [CF-compliant](http:https://cfconventions.org/). To successfully use the package some input data "conditioning" may be required. We provide several demo scripts within the package to facilitate new users. | ||
|
||
|