This is the repository for JGCRI's CMIP6 archive that is stored under /pic/projects/GCAM/CMIP6
on pic. The purpose of this repository is to document and organize the CMIP6 netcdfs used at the Institute and to minimize duplicative efforts to download the data.
All JGCRI pic users are welcome to process CMIP6 netcdfs stored on the pic archive however we ask that you do not modify the netcdf files or save any of your work here because these netcdf files are shared Institute resources.
To figure out what data and where data is stored on pic take a look at cmip6_archive_index.csv
it contains a CMIP6 information in a table that is easy to subset and filter.
There are several different ways to access the cmip6_archive_index
cmip6_archive_index.csv
and open with excel or import into R/python/ect.archive <- readr::read_csv(url("https://raw.githubusercontent.com/JGCRI/CMIP6/master/cmip6_archive_index.csv"))
to import directly from github into Rcmip6_archive_index
column description
gn
is the native model grid, gr
means the model grid has been regirdded, and gm
refers to a global mean.file | type | variable | domain | model | experiment | ensemble | grid | time |
---|---|---|---|---|---|---|---|---|
/pic/projects/GCAM/CMIP6/archive/co2s/co2s_Emon_CNRM-ESM2-1_esm-hist_r1i1p1f2_gr_185001-201412.nc | data | co2s | Emon | CNRM-ESM2-1 | esm-hist | r1i1p1f2 | gr | 185001-201412 |
/pic/projects/GCAM/CMIP6/archive/co2s/co2s_Emon_CNRM-ESM2-1_esm-piControl_r1i1p1f2_gr_185001-209912.nc | data | co2s | Emon | CNRM-ESM2-1 | esm-piControl | r1i1p1f2 | gr | 185001-209912 |
/pic/projects/GCAM/CMIP6/archive/co2s/co2s_Emon_CNRM-ESM2-1_esm-piControl_r1i1p1f2_gr_210001-234912.nc | data | co2s | Emon | CNRM-ESM2-1 | esm-piControl | r1i1p1f2 | gr | 210001-234912 |
/pic/projects/GCAM/CMIP6/archive/co2s/co2s_Emon_CNRM-ESM2-1_piControl_r1i1p1f2_gr_185001-234912.nc | data | co2s | Emon | CNRM-ESM2-1 | piControl | r1i1p1f2 | gr | 185001-234912 |
If you are intrested in data that is not included in the index then it is also not downlaoded on pic. Please open a GitHub issue describing your data needs (model / experiment / variable and so on) and an ideal timeline. That way we can coordinate the data download and keep track of changes the the archive.