Regional spatial plot

Generate spatial map of a 2D field (regional data example).

References

General functionality is provided using CSET recipe generic_surface_spatial_plot_sequence.yaml

The following CSET operators are used:

• CSET.operators.read.read_cubes

• CSET.operators.plot.spatial_pcolormesh_plot or CSET.operators.plot.spatial_contour_plot.

Using cset bake on the command line

• Access recipe file using cset cookbook.

• Set required recipe inputs on command line.

Example to generate full-domain spatial maps of temperature_at_screen_level for all output times:

cset cookbook generic_surface_spatial_plot_sequence.yaml
cset -v bake -i "/path/to/input/data" -o "./output_path" \
             -r generic_surface_spatial_plot_sequence.yaml \
             --VARNAME="temperature_at_screen_level" \
             --MODEL_NAME="my_model_label" \
             --METHOD="SEQ" \
             --SUBAREA_TYPE='None' --SUBAREA_EXTENT='None' --SUBAREA_NAME='None'

Configuring the cset_workflow

• Update workflow configuration settings via rose edit GUI or in rose-suite.conf file.

• Complete General setup options and Cycling and Model options details - see Configure the workflow.

• Set required configuration options on Diagnostics / Surface (2D) fields panel:

  SURFACE_FIELDS = ["temperature_at_screen_level", ...]
  SPATIAL_SURFACE_FIELD = True
  

Example python code

from CSET import sample_data_path
from CSET.operators import plot, read

# Set path to input data
filename = sample_data_path("air_temperature.nc")

# Read selected variable(s) of interest
cube = read.read_cube(filename, ["temperature_at_screen_level"])

# Plot single time using spatial_contour_plot
plot.spatial_contour_plot(cube[-1])