Constructor.

Parameters¶

data_source: str or xarray.Dataset

The data or the file search pattern, should end with suffix ‘.nc’. One or many files.

output_vars: list of str

The output variables

var2ncvar: dict, optional

Mapping from variable names to variable names in the nc file

fixed_vars: dict, optional

Uniform values for output variables, instead of reading from data

states_coord: str

The states coordinate name in the data

x_coord: str

The x coordinate name in the data

y_coord: str

The y coordinate name in the data

h_coord: str, optional

The height coordinate name in the data

load_mode: str

The load mode, choices: preload, lazy, fly. preload loads all data during initialization, lazy lazy-loads the data using dask, and fly reads only states index and weights during initialization and then opens the relevant files again within the chunk calculation

weight_ncvar: str, optional

Name of the weight data variable in the nc file(s)

time_format: str

The datetime parsing format string

sel: dict, optional

Subset selection via xr.Dataset.sel()

isel: dict, optional

Subset selection via xr.Dataset.isel()

interp_nans: bool

Linearly interpolate nan values

bounds_extra_space: float or str, optional

The extra space, either float in m, or str for units of D, e.g. ‘2.5D’

interpn_pars: dict, optional

Additional parameters for scipy.interpolate.interpn