document.write(`
by: Andrej Fast, Brian Lewis, Christopher Kadow, Etor Lucio Eceiza, Martin Bergemann and many others
import freva
import xarray as xr
files = freva.databrowser(
project="cmip6",
experiment="historical",
model="mpi*",
ensemble="r1i1*",
variable="tas",
time_frequency="mon"
)
dset = xr.open_mfdataset(files, combine="by_coords", parallel=True)
⋊ freva databrowser project=cmip6 experiment=historical model='mip*' ensemble='r1i1*' time_frequency=mon variable=tas
Solution: Use an existing freva plugin.
⋊ freva plugin -l
Animator: Animate data on lon/lat grids
ClimateChangeProfile: Create climate change signals.
ClimDexCalc: Calculate the ETCCDI climate extreme indices on the
basis of daily temperature and precipitation data using
the ClimDex software provided by PCIC.
Climpact: Process climate model data for input of impact model
CWT: Calculate Circulation Weather Type by mean sea level pressure.
EnsemblePlotter: Create and Plot maps of multi-model ensemble means and
standard deviations
MoviePlotter: Plots 2D lon/lat movies in GIF format
Papermill: Parametrize a given notebook
freva-plugin animator variable=pr project=reanalysis experiment=era5 cmap=Blues