Source code for pycif.plugins.transforms.complex.diagmet.propagate_incompatible

import numpy as np
from .....utils.classes.setup import Setup
from .....utils.check.errclass import CifError


[docs] def surface_domain(domain_3d): """Build a single-level (surface) domain from a 3-D domain. Same construction as the 2-D meteo domain of the CHIMERE mapper. Args: domain_3d (Plugin): 3-D domain. Returns: Plugin: copy of ``domain_3d`` with ``nlev = 1`` and truncated vertical coordinates. """ domain_2d = Setup.load_registered( domain_3d.plugin.name, domain_3d.plugin.version, "domain", plg_orig=domain_3d ) for attr in ["nlon", "nlat", "zlon", "zlat", "zlonc", "zlatc", "nlon_side", "nlat_side", "zlonc_side", "zlatc_side", "zlon_side", "zlat_side", "pressure_unit"]: if hasattr(domain_3d, attr): setattr(domain_2d, attr, getattr(domain_3d, attr)) domain_2d.nlev = 1 domain_2d.sigma_a = domain_3d.sigma_a[:2] domain_2d.sigma_b = domain_3d.sigma_b[:2] domain_2d.sigma_a_mid = domain_3d.sigma_a_mid[:1] domain_2d.sigma_b_mid = domain_3d.sigma_b_mid[:1] return domain_2d
[docs] def propagate_incompatible_domain(self, trans_mapper, trid_in, mode="backward"): """Assign the correct domain to a diagmet input tracer. 2-D (surface) and 3-D (column) meteorological fields use different domain objects. This function inspects the output domains already present in the mapper, selects the appropriate 2-D or 3-D domain for *trid_in*, and assigns it. Args: self (Plugin): diagmet plugin instance (carries ``meteo_parameters_2d_in`` listing 2-D field names). trans_mapper (dict): transform mapper; ``'inputs'[trid_in]["domain"]`` is set in-place. trid_in (tuple): ``('meteo', parameter_name)`` key of the input tracer whose domain should be resolved. mode (str): propagation direction (unused; kept for API consistency). Raises: Exception: if multiple distinct 3-D or 2-D domains are found in the output mapper (should not occur in a well-formed configuration). """ meteo_parameters_3d = self.model.meteo_parameters_3d meteo_parameters_2d = self.model.meteo_parameters_2d domains = [trans_mapper["outputs"][trid_out]["domain"] for trid_out in trans_mapper["outputs"] ] # Get 3D domains and check if incompatible domains_3d = [ d for d in domains if d.nlev > 1 ] domain_3d = domains_3d[0] for dom3d in domains_3d: if dom3d != domain_3d: raise CifError( "More than two output 3D domains in diagmet. This should not happen" ) # Get 3D domains and check if incompatible domains_2d = [ d for d in domains if d.nlev == 1 ] # No 2D outputs (e.g., only_convection): build a 2D domain from the 3D one if domains_2d == []: if not hasattr(self, "domain_2d"): self.domain_2d = surface_domain(domain_3d) domains_2d = [self.domain_2d] domain_2d = domains_2d[0] for dom2d in domains_2d: if dom2d != domain_2d: raise CifError( "More than two output 2D domains in diagmet. This should not happen" ) # Now fetch the correct domain trans_mapper["inputs"][trid_in]["domain"] = \ domain_2d if trid_in in self.meteo_parameters_2d_in else domain_3d