The CVDP-LE has been deprecated as ensemble metrics are now available in the CVDP.
The Climate Variability Diagnostics Package for Large Ensembles (CVDP-LE) developed by NCAR's Climate Analysis Section is an automated analysis tool and data repository for exploring internal and forced contributions to climate variability and change in coupled model “initial-condition” Large Ensembles and observations.
The package computes a wide range of modes of interannual-to-multidecadal variability in the atmosphere, ocean and cryosphere, as well as long-term trends and key indices of global and regional climate. Diagnostics include the ensemble-mean (i.e., forced response) and ensemble-spread (i.e., internal variability) of each model, as well as quantitative metrics comparing the models to observations. All diagnostics and metrics are saved to a data repository for later use and analysis.
CVDP-LE example comparison:
CMIP6 Historical 1900-2014
The CVDP-LE was built upon the CVDP codebase. Note that while many of the individual simulation metrics are similar between the CVDP and CVDP-LE, the CVDP-LE has a focus on ensemble metrics.
View the readme file for details on how to run the CVDP-LE. The CVDP-LE User’s Guide provides general background on initial-condition Large Ensembles, detailed documentation of all diagnostics and metrics in the package, and guidance on interpreting the results.
The CVDP-LE can read in the following data types as input:
- CMIP6
- CMIP5
- CMIP3
- CSM, CCSM and CESM
- Observations with file names and data array names matching CMIP conventions.
If the readme file, the CVDP-LE User’s Guide or the CVDP-LE website do not answer your query or if you have a bug report or suggestion, it is recommended that you open an issue on Github.