metobs_toolkit.modeltimeseries.ModelTimeSeries.to_xr

ModelTimeSeries.to_xr() → xarray.Dataset

Convert a model time series object to an xarray Dataset.

The returned Dataset contains a single variable named after the observation type (e.g. ‘temperature’). Its DataArray has three dimensions:

• kind: distinguishes the nature of the stacked data. For model

  time series this contains a single value: ‘model’.

• models: the model name (length 1 here, prepared for concatenation).

• datetime: timestamps of the model output.

Attributes on the variable describe the observation type and model metadata.

Parameters:

modeltimeseries (ModelTimeseries) – Object holding a time-indexed pandas Series and related metadata.

Returns:

Dataset with dimensions (‘kind’, ‘models’, ‘datetime’) where kind = [‘model’].

Return type:

xarray.Dataset