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

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

time_format: str, optional

The datetime parsing format string

bounds_extra_space: float or str, optional

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

height_bounds: tuple, optional

The (h_min, h_max) height bounds in m. Defaults to H +/- 0.5*D

sel: dict, optional

Subset selection via xr.Dataset.sel()

isel: dict, optional

Subset selection via xr.Dataset.isel()

weight_factor: float, optional

The factor to multiply the weights with

check_times: bool

Whether to check the time coordinates for consistency

check_input_nans: bool

Whether to check input data for NaNs, otherwise NaNs are removed

preprocess_nc: callable, optional

A function to preprocess the netcdf Dataset before use

interp_pars: dict, optional

Additional parameters the interpolation

kwargs: dict, optional

Additional arguments for the base class