- pyart.map.grid_from_radars(radars, grid_shape, grid_limits, gridding_algo='map_gates_to_grid', copy_field_dtypes=True, **kwargs)[source]#
Map one or more radars to a Cartesian grid returning a Grid object.
Additional arguments are passed to
radars (Radar or tuple of Radar objects.) – Radar objects which will be mapped to the Cartesian grid.
grid_shape (3-tuple of floats) – Number of points in the grid (z, y, x).
grid_limits (3-tuple of 2-tuples) – Minimum and maximum grid location (inclusive) in meters for the z, y, x coordinates.
gridding_algo (‘map_to_grid’ or ‘map_gates_to_grid’) – Algorithm to use for gridding. ‘map_to_grid’ finds all gates within a radius of influence for each grid point, ‘map_gates_to_grid’ maps each radar gate onto the grid using a radius of influence and is typically significantly faster.
copy_field_dtypes (bool) – Whether or not to maintain the original dtypes found in the radar fields, which will then be used in the grid fields.
grid (Grid) – A
pyart.io.Gridobject containing the gridded radar data.
Map to grid and return a dictionary of radar fields.
Map each gate onto a grid returning a dictionary of radar fields.
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Pauley, P. M. and X. Wu, 1990: The theoretical, discrete, and actual response of the Barnes objective analysis scheme for one- and two-dimensional fields. Monthly Weather Review, 118, 1145-1164