Source code for pycif.plugins.models.lmdz_old.io.outputs2native_adj

import datetime
import glob
import os

import numpy as np
import pandas as pd
import xarray as xr

from .....utils.datastores.empty import init_empty
from .inputs.make_endconcs import make_endconcs
from .inputs.obs import make_obs




def outputs2native_adj(
    self,
    data2dump,
    input_type,
    datei,
    datef,
    runsubdir,
    mode="fwd",
    dump=True,
    onlyinit=False,
    do_simu=True,
    check_transforms=False,
    **kwargs,
):
    """Reads outputs to pycif objects.

    If the mode is 'fwd' or 'tl', only observation-like outputs are extracted.
    For the 'adj' mode, all outputs relative to model sensitivity are extracted.

    Dumps to a NetCDF file with output concentrations if needed

    Args:
        self (pycif.utils.classes.models.Model): Model object
        runsubdir (str): current sub-sumilation directory
        mode (str): running mode; one of: 'fwd', 'tl', 'adj'; default is 'fwd'

        dump (bool): dumping outputs or not; default is True
    Return:
        dict

    """
    ddi = min(datei, datef)
    ddf = max(datei, datef)

    # Hour steps of the sub-run
    hour_dates = pd.date_range(ddi, ddf, freq="1h")

    for trid in data2dump:
        mod_input = trid[0]
        trcr = trid[1]

        if mod_input != "endconcs":
            if onlyinit:
                make_obs(
                    self,
                    ddi,
                    data2dump[trid][ddi],
                    runsubdir,
                    "fwd",
                    trcr,
                    input_type,
                    do_simu,
                )
            else:
                make_obs(
                    self,
                    ddi,
                    data2dump[trid][ddi],
                    runsubdir,
                    "adj",
                    trcr,
                    input_type,
                    do_simu,
                )

        elif mod_input == "endconcs":
            if not onlyinit:
                make_endconcs(
                    self,
                    data2dump,
                    runsubdir,
                    mode,
                    ddi,
                    ddf,
                    onlyinit,
                    check_transforms=check_transforms,
                )