cmpdata 2.0.1

Package for handling CMIP6 data

cmpdata package can handle and analyze raw CMIP6 data.

• GitHub repo: https://github.com/TaufiqHassan/cmpdata

Features

• Handle raw CMIP6 data

• Analyze any specific models/experiments/variables

• Perform regridding for model ensemble means

• Data preprocessing

• Statistical analysis

Installation

Use the YAML file provided to create a virtual conda enviroment (cmpdata)

conda env create -f environment.yml

And then activate cmpdata to use cmpdata

conda activate cmpdata

Supports both Mac and Linux. Windows users can use Windows Subsystem.

Usage

cmpdata can be used to handle and analyze raw CMIP6 data. A lot of the options available in acccmip6 is available in cmpdata, especially for selecting models, experiments and variables. cmpdata also tries to be a good command-line interface (CLI). Run cmpdata -h to see a help message with all the arguments you can pass.

python cmpdata.py -h

usage: cmpdata.py [-h] -o {info,rm,mm,stats,ts} [-dir DIR] [-m M] [-e E] [-v V] [-r R] [-out OUT] [-f F] [-init INIT] [-end END] [-t] [-z] [-s S] [-mm]
[-std] [-clim] [-anom] [-manom] [-trend] [-aggr] [-freq FREQ] [-reg REG] [-rm] [-a] [-curve] [-w] [-ci CI] [-regrid]

options:
-h, --help            show this help message and exit
-o {info,rm,mm,stats,ts}, --output-options {info,rm,mm,stats,ts}
        Select an output option
-dir DIR              Select directory.
-m M                  Model names
-e E                  Experiment names
-v V                  Variable names
-r R                  Realization
-out OUT              Output file name
-f F                  Input filenames for stats
-init INIT            Initial year
-end END              Ending year
-t                    Temporal mean option
-z                    Zonal mean option
-s S                  Seasonal mean option
-mm                   Calculate model ensemble mean
-std                  Calculate model std
-clim                 Calculate monthly climatology
-anom                 Calculate monthly anomaly
-manom                Calculate model anomaly
-trend                Calculate variable grid-by-grid trends
-aggr                 Calculate model aggreement
-freq FREQ            Temporal mean frequency: annual/daily/monthly
-reg REG              Select region for timeseries output
-rm                   Use the realization means
-a                    Use cell areas for spatial mean calculations
-curve                Regridding to curvilinear grids
-w                    All model means as ens dim (used by -std, -mm, -aggr stats options)
-ci CI                confidence interval used in -trend and -aggr options
-regrid               regridding on/off

License

This code is licensed under the MIT License.