Source code for improver.cli.generate_topography_bands_mask

#!/usr/bin/env python
# (C) Crown Copyright, Met Office. All rights reserved.
#
# This file is part of 'IMPROVER' and is released under the BSD 3-Clause license.
# See LICENSE in the root of the repository for full licensing details.
"""Script to run topographic bands mask generation."""

from improver import cli


[docs] @cli.clizefy @cli.with_output def process( orography: cli.inputcube, land_sea_mask: cli.inputcube = None, *, bands_config: cli.inputjson = None, ): """Runs topographic bands mask generation. Reads orography and land_sea_mask fields of a cube. Creates a series of masks, where each mask excludes data below or equal to the lower threshold and excludes data above the upper threshold. Args: orography (iris.cube.Cube): The orography on a standard grid. land_sea_mask (iris.cube.Cube): The land mask on standard grid, with land points set to one and sea points set to zero. If provided sea points will be set to zero in every band. If no land mask is provided, sea points will be included in the appropriate topographic band. bands_config (dict): Definition of orography bands required. The expected format of the dictionary is e.g {'bounds':[[0, 50], [50, 200]], 'units': 'm'} The default dictionary has the following form: {'bounds': [[-500., 50.], [50., 100.], [100., 150.],[150., 200.], [200., 250.], [250., 300.], [300., 400.], [400., 500.], [500., 650.],[650., 800.], [800., 950.], [950., 6000.]], 'units': 'm'} Returns: iris.cube.Cube: list of orographic band mask cube. """ from improver.generate_ancillaries.generate_ancillary import ( THRESHOLDS_DICT, GenerateOrographyBandAncils, ) if bands_config is None: bands_config = THRESHOLDS_DICT if land_sea_mask: land_sea_mask = next( land_sea_mask.slices( [land_sea_mask.coord(axis="y"), land_sea_mask.coord(axis="x")] ) ) orography = next( orography.slices([orography.coord(axis="y"), orography.coord(axis="x")]) ) result = GenerateOrographyBandAncils()( orography, bands_config, landmask=land_sea_mask ) result = result.concatenate_cube() return result