Source code for pycif.plugins.datastreams.fluxes.flux_plugin_template.get_domain

import numpy as np
from logging import debug

from .....utils.classes.setup import Setup
from import Domain

[docs] def get_domain(ref_dir, ref_file, input_dates, target_dir, tracer=None): """Read information to define the data horizontal and, if relevant, vertical domain. There are several possible approaches: - read a reference file that is necessary in :bash:`ref_dir` - read a file among the available data files - read a file specified in the yaml, by using the corresponding variable name; for instance, tracer.my_file From the chosen file, obtain the coordinates of the centers and/or the corners of the grid cells. If corners or centers are not available, deduce them from the available information. Warning: the grid must not be overlapping: e.g for a global grid, the last grid cell must not be the same as the first Warning: Longitudes must be in the range [-180, 180]. For dataset with longitudes beyond -180 or 180, please shift them. and adapt the ``read`` function accordingly Warning: Order the centers and corners latitudes and longitudes in increasing order Note: If the domain information need to be read from one of the files returned by the fetch function, one should use the variable :bash:`tracer.input_files` as follow: .. code-block:: python ref_file = list(itertools.chain.from_iterable(tracer.input_files.values()))[0] Args: ref_dir (str): the path to the input files ref_file (str): format of the input files input_dates (list): simulation interval (start and end dates) target_dir (str): where to copy tracer: the tracer Plugin, corresponding to the paragraph :bash:`datavect/components/fluxes/parameters/my_species` in the configuration yaml; can be needed to fetch extra information given by the user Return: Domain: a domain class object, with the definition of the center grid cells coordinates, as well as corners """ # Print some explanation debug(__doc__) # For the purpose of demonstration, the domain dimensions are specified by default # in input_arguments. # Individual arguments can be modified manually in the yaml lon_min = tracer.lon_min lon_max = tracer.lon_max lat_min = tracer.lat_min lat_max = tracer.lat_max nlon = tracer.nlon nlat = tracer.nlat debug("if lon and lat are flat vectors in the definition, " "convert into a grid with:\n" "zlon, zlat = np.meshgrid(lon, lat)\n") # Some explanations debug( 'Here, read the vertical information, from the same file as the horizontal ' 'information or from another.\n' 'Get the number of vertical levels.\n' 'Get or deduce the sigma_a/sigma_b coefficients from bottom to top if the ' 'vertical ' 'extension is in pressure.\n' 'It is possible to specify the vertical extension in m a.g.l. as well by ' 'defining the variable heights' ) nlev = tracer.nlev punit = "Pa" sigma_a = np.linspace(0, 1, nlev) sigma_b = np.linspace(1, 0, nlev) # Initializes domain setup = Setup.from_dict( { "domain": { "plugin": { "name": "dummy", "version": "std", "type": "domain", }, "xmin": lon_min, # minimum longitude for centers "xmax": lon_max, # maximum longitude for centers "ymin": lat_min, # minimum latitude for centers "ymax": lat_max, # maximum latitude for centers "nlon": nlon, # number of longitudinal cells "nlat": nlat, # number of latitudinal cells "nlev": nlev, # number of vertical levels "sigma_a": sigma_a, "sigma_b": sigma_b, "pressure_unit": "Pa" # adapted to sigmas } } ) Setup.load_setup(setup, level=1) return setup.domain