4.7.3. thuner.data.gridrad

Process GridRad data.

Functions

get_gridrad_filepaths(options)	Get the start and end dates for the cases in the GridRad-Severe dataset (doi.org/10.5065/2B46-1A97).
open_gridrad(path, dataset_options)	Open a GridRad netcdf file, converting variables with an "Index" dimension back to 3D
convert_gridrad(time, filepath, ...)	Convert gridrad data to the standard format.
filter(ds[, weight_thresh, ...])	Filter a GridRad dataset.
remove_speckles(ds[, window_size, ...])	Remove speckles in GridRad data.
remove_low_level_clutter(ds[, variables])	Remove low level clutter from GridRad data.
remove_clutter_below_anvils(ds[, variables])	Remove clutter below anvils in GridRad data.
remove_clutter(ds[, variables, low_level, ...])	Remove clutter from GridRad data.

pydantic model thuner.data.gridrad.GridRadSevereOptions

Bases: BaseDatasetOptions

Options for GridRad Severe datasets.

Fields:

• dataset_id (str)

• event_start (str)

• obs_thresh (int)

• type (Literal['GridRadSevereOptions'])

• version (str)

Validators:

• _check_filepaths » all fields

• _check_times » all fields

field dataset_id: str = 'ds841.6'

UCAR RDA dataset ID.

field event_start: str [Required]

Event start date.

field obs_thresh: int = 2

Observation count threshold for filtering.

field type: Literal['GridRadSevereOptions'] = 'GridRadSevereOptions'

field version: str = 'v4_2'

GridRad version.

convert_dataset(time, filepath, track_options, grid_options)

Convert GridRad dataset.

get_filepaths()

Get the filepaths for the GridRad dataset assuming filenames and directory structure match the remote location.

thuner.data.gridrad.convert_gridrad(time, filepath, track_options, dataset_options, grid_options)

Convert gridrad data to the standard format.

thuner.data.gridrad.filter(ds, weight_thresh=1.2, echo_frac_thresh=0.3, refl_thresh=0, obs_thresh=2, variables=None)

Filter a GridRad dataset. Based on code from the GridRad website https://gridrad.org/software.html and edits by Stacey Hitchcock.

Parameters:

• ds (xarray.Dataset) – The GridRad dataset.

• weight_thresh (float, optional) – The bin weight threshold. Default is 1.5.

• echo_frac_thresh (float, optional) – The echo fraction threshold. Default is 0.6.

• refl_thresh (float, optional) – The reflectivity threshold. Default is 0.

• obs_thresh (int, optional) – The number of observations. Default is 3.

Returns:

ds – The filtered GridRad dataset

Return type:

xarray.Dataset

thuner.data.gridrad.get_gridrad_filepaths(options)

Get the start and end dates for the cases in the GridRad-Severe dataset (doi.org/10.5065/2B46-1A97).

thuner.data.gridrad.open_gridrad(path, dataset_options)

Open a GridRad netcdf file, converting variables with an “Index” dimension back to 3D

thuner.data.gridrad.remove_clutter(ds, variables=None, low_level=True, below_anvil=False)

Remove clutter from GridRad data. Based on code from the GridRad website https://gridrad.org/software.html and edits by Stacey Hitchcock.

Parameters:

• ds (xarray.Dataset) – The GridRad dataset.

• variables (list, optional) – The variables to remove clutter from. Default is [“Reflectivity”].

Returns:

ds – The GridRad dataset with clutter removed.

Return type:

xarray.Dataset

thuner.data.gridrad.remove_clutter_below_anvils(ds, variables=None)

Remove clutter below anvils in GridRad data. Based on code from the GridRad website https://gridrad.org/software.html and edits by Stacey Hitchcock.

thuner.data.gridrad.remove_low_level_clutter(ds, variables=None)

Remove low level clutter from GridRad data. Based on code from the GridRad website https://gridrad.org/software.html and edits by Stacey Hitchcock.

thuner.data.gridrad.remove_speckles(ds, window_size=5, coverage_thresh=0.32, variables=None)

Remove speckles in GridRad data. Based on code from the GridRad website https://gridrad.org/software.html and edits by Stacey Hitchcock. Modified from the original to use xr.rolling instead of np.roll to correctly handle edges and corners.