Setting Up Your Dataset¶
climpred relies on a consistent naming system for
xarray dimensions. This allows things to run more easily under-the-hood.
Prediction ensembles are expected at the minimum to contain dimensions
init is the initialization dimension, that relays the time steps at which the ensemble was initialized.
lead is the lead time of the forecasts from initialization. Another crucial dimension is
member, which holds the various ensemble members. Any additional dimensions will be passed through
climpred without issue: these could be things like
Control runs, references, and observational products are expected to contain the
time dimension at the minimum. For best use of
time dimension should cover the full length of
init from the accompanying prediction ensemble, if possible. These products can also include additional dimensions, such as
See the below table for a summary of dimensions used in
climpred, and data types that
climpred supports for them.
||lead timestep after initialization [
||initialization: start date of experiment|