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cordex.cordex_domain

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cordex.cordex_domain#

cordex_domain(domain_id, dummy=False, add_vertices=False, tables=None, attrs=None, mapping_name=None, bounds=False, mip_era='CMIP5', cell_area=False)[source]#

Creates an xarray dataset containg the domain grid definitions.

Parameters:

  • domain_id (str) – Domain identifier.

  • dummy (str or logical) – Name of dummy field, if dummy=topo, the cdo topo operator will be used to create some dummy topography data. dummy data is useful for looking at the domain with ncview.

  • tables (dataframe or list of dataframes, default: cordex_tables) – Tables from which to look up the grid information. Index in the table should be the short name of the domain, e.g., EUR-11. If no table is provided, all standard tables will be searched.

  • attrs (str or dict) – Global attributes that should be added to the dataset. If attrs=’CORDEX’ a set of standard CF global attributes.

  • mapping_name (str) – Variable name of the grid mapping, if mapping_name is None, the CF standard variable name is used.

  • bounds (bool) – Add spatial bounds to longitude and latitude coordinates.

  • mip_era (str) – The mip_era keyword determines the vocabulary for dimensions, coordinates and attributes.

  • cell_area (logical) – Add a grid-cell area coordinate variable.

Returns:

Grid (xr.Dataset) – Dataset containing a CORDEX grid.

References

Please refer to the CF conventions document : https://cfconventions.org/Data/cf-conventions/cf-conventions-1.10/cf-conventions.html#grid-mappings-and-projections

Example

To create a cordex rotated pole domain dataset, you can use ,e.g.,:

import cordex as cx

eur11 = cx.cordex_domain('EUR-11')
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