foxes.input.states.NEWAStates(input_files_nc, time_coord='time', west_east_coord='west_east', south_north_coord='south_north', height_coord='height', xlat_coord='XLAT', xlon_coord='XLON', output_vars=None, var2ncvar=None, load_mode='fly', time_format=None, bounds_extra_space=0.0, height_bounds=None, interp_pars={}, wrf_point_plot=None, **kwargs)[source]

Constructor.

Parameters

input_files_nc: str

The input netcdf file(s), can contain wildcards, e.g. ‘wrfout_2025*.nc’

time_coord: str

The time coordinate name in the data

west_east_coord: str

The west-east coordinate name in the data

south_north_coord: str

The south-north coordinate name in the data

height_coord: str, optional

The height coordinate name in the data

xlat_coord: str

The latitude coordinate name in the data

xlon_coord: str

The longitude coordinate name in the data

output_vars: list of str, optional

The output variables to load, if None, the default variables are loaded (FV.WS, FV.WD, FV.TI, FV.RHO)

var2ncvar: dict, optional

A dictionary mapping foxes variable names to the corresponding netcdf variable names.

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 calculations.

time_format: str

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

interp_pars: dict, optional

Additional parameters for scipy.interpolate.griddata, e.g. {‘method’: ‘linear’, ‘fill_value’: None, ‘rescale’: True}

wrf_point_plot: str, optional

Path to a plot file, e.g. wrf_points.png, to visualize the selected WRF grid points and the layout of the farm.

kwargs: dict, optional

Additional parameters for the base class