metobs_toolkit.modeltimeseries.ModelTimeSeries.to_xr

ModelTimeSeries.to_xr() → xrDataset

Convert a Modelimeseries 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) – Modeltimeseries object with time-indexed data.

• fmt_datetime_coordinate (bool, optional) – If True, format datetime for CF compliance. Default is True.

Returns:

Dataset with dimensions (‘kind’, ‘models’, ‘datetime’).

Return type:

xarray.Dataset