Derived variables structure update

lib/adf_derive.py

@@ -0,0 +1,274 @@
+import glob
+import os
+from pathlib import Path
+import xarray as xr
+
+
+def check_derive(self, res, var, case_name, diag_var_list, constit_dict, hist_file_ds, hist0):
+    """
+    For incoming variable, look for list of constituents if available
+     - as a list in variable defaults file
+
+     If the variable does not have the argument `derivable_from` or `derivable_from_cam_chem`,
+     then it will be assumed not to be a derivable variable, just missing from history file
+
+     If the variable does have the argument `derivable_from` or `derivable_from_cam_chem`,
+     first check cam-chem, then regular cam.
+
+    Arguments
+    ---------
+        self: AdfDiag
+            - ADF object
+        res: dict
+            - variable defaults dictionary from yaml file
+        var: str
+            - derived variable name
+        case_name: str
+            - model case
+        diag_var_list: list
+            - list of variables for diagnostics
+            NOTE: this is user supplied, but gets modified here for constituents
+        constit_dict: dict
+            - dictionary of derived variables as keys and list of constituents as values
+        hist_file_ds: xarray.DataSet
+            - history file dataset for checking if constituents are available
+        hist0: str
+            - history number for case
+
+    Returns
+    -------
+        constit_list: list
+           - list of declared consituents from the variable defaults yaml file
+           - empty list:
+             * if missing `derived_from` argument(s)
+             * if `derived_from` argument(s) exist but not declared
+
+        diag_var_list: list
+           - updated list (if applicable) of ADF variables for time series creation
+    """
+
+    # Aerosol Calcs
+    #--------------
+
+    # Always make sure PMID is made if aerosols are desired in config file
+    # Since there's no requirement for `aerosol_zonal_list`, allow it to be absent:
+    azl = res.get("aerosol_zonal_list", [])
+    if azl:
+        if "PMID" not in diag_var_list:
+            if any(item in azl for item in diag_var_list):
+                diag_var_list += ["PMID"]
+        if "T" not in diag_var_list:
+            if any(item in azl for item in diag_var_list):
+                diag_var_list += ["T"]
+    # End aerosol calcs
+
+    # Set error messages for printing/debugging
+    # Derived variable, but missing constituent list
+    constit_errmsg = f"create time series for {case_name}:"
+    constit_errmsg += f"\n Can't create time series for {var}. \n\tThis variable"
+    constit_errmsg += " is flagged for derivation, but is missing list of constiuents."
+    constit_errmsg += "\n\tPlease add list of constituents to 'derivable_from' "
+    constit_errmsg += f"for {var} in variable defaults yaml file."
+
+    # No time series creation
+    exit_msg = f"WARNING: {var} is not in the file {hist0} and can't be derived."
+    exit_msg += "\t     ** No time series will be generated. **"
+
+    # Initialiaze list for constituents
+    # NOTE: This is if the variable is NOT derivable but needs
+    #       an empty list as a check later
+    constit_list = []
+
+    try_cam_constits = True
+    # Try finding info from variable defaults yaml file
+    try:
+        vres = res[var]
+    except KeyError:
+        print(exit_msg)
+        self.debug_log(exit_msg)
+        return diag_var_list, constit_dict
+
+    # Check first if variable is potentially part of a CAM-CHEM run
+    if "derivable_from_cam_chem" in vres:
+        constit_list = vres["derivable_from_cam_chem"]
+
+        if constit_list:
+            if all(item in hist_file_ds.data_vars for item in constit_list):
+                # Set check to look for regular CAM constituents in variable defaults
+                try_cam_constits = False
+                msg = f"derive time series for {case_name}:"
+                msg += "\n\tLooks like this a CAM-CHEM run, "
+                msg += f"checking constituents for '{var}'"
+                self.debug_log(msg)
+        else:
+            self.debug_log(constit_errmsg)
+        # End if
+    # End if
+
+    # If not CAM-CHEM, check regular CAM runs
+    if try_cam_constits:
+        if "derivable_from" in vres:
+            constit_list = vres["derivable_from"]
+        else:
+            # Missing variable or missing derivable_from argument
+            der_from_msg = f"derive time series for {case_name}:"
+            der_from_msg += f"\n Can't create time series for {var}.\n\tEither "
+            der_from_msg += "the variable is missing from CAM output or it is a "
+            der_from_msg += "derived quantity and is missing the 'derivable_from' "
+            der_from_msg += "config argument.\n\tPlease add variable to CAM run "
+            der_from_msg += "or set appropriate argument in variable "
+            der_from_msg += "defaults yaml file."
+            self.debug_log(der_from_msg)
+        # End if
+    # End if
+
+    # Log if this variable can be derived but is missing list of constituents
+    if isinstance(constit_list, list) and not constit_list:
+        self.debug_log(constit_errmsg)
+
+    # Check if any constituents were found
+    if constit_list:
+        # Add variable and constituent list to dictionary
+        constit_dict[var] = constit_list
+
+        # Add constituents to ADF diag variable list for time series generation
+        for constit in constit_list:
+            if constit not in diag_var_list:
+                diag_var_list.append(constit)
+    else:
+        print(exit_msg)
+        self.debug_log(exit_msg)
+    # End if
+
+    return diag_var_list, constit_dict
+
+########
+
+def derive_variable(self, case_name, var, res=None, ts_dir=None,
+                         constit_list=None, overwrite=None):
+    """
+    Derive variables acccording to steps given here.  Since derivations will depend on the
+    variable, each variable to derive will need its own set of steps below.
+
+    Caution: this method assumes that there will be one time series file per variable
+
+    If the file for the derived variable exists, the kwarg `overwrite` determines
+    whether to overwrite the file (true) or exit with a warning message.
+
+    """
+
+    # Loop through derived variables
+    print(f"\t - deriving time series for {var}")
+
+    # Grab all required time series files for derived variable
+    constit_files = []
+    for constit in constit_list:
+        # Check if the constituent file is present, if so add it to list
+        if glob.glob(os.path.join(ts_dir, f"*.{constit}.*.nc")):
+            constit_files.append(glob.glob(os.path.join(ts_dir, f"*.{constit}.*"))[0])
+    # End for
+
+    # Check if all the necessary constituent files were found
+    if len(constit_files) != len(constit_list):
+        ermsg = f"\t   ** Not all constituent files present; {var} cannot be calculated. **\n"
+        ermsg += f"\t     Please remove {var} from 'diag_var_list' or find the "
+        ermsg += "relevant CAM files.\n"
+        print(ermsg)
+        if constit_files:
+            # Add what's missing to debug log
+            dmsg = f"derived time series for {case_name}:"
+            dmsg += f"\n\tneeded constituents for derivation of "
+            dmsg += f"{var}:\n\t\t- {constit_list}\n\tfound constituent file(s) in "
+            dmsg += f"{Path(constit_files[0]).parent}:\n\t\t"
+            dmsg += f"- {[Path(f).parts[-1] for f in constit_files if Path(f).is_file()]}"
+            self.debug_log(dmsg)
+        else:
+            dmsg = f"derived time series for {case_name}:"
+            dmsg += f"\n\tneeded constituents for derivation of "
+            dmsg += f"{var}:\n\t\t- {constit_list}\n"
+            dmsg += f"\tNo constituent(s) found in history files"
+            self.debug_log(dmsg)
+        # End if
+    else:
+        # Open a new dataset with all the constituent files/variables
+        ds = self.data.load_dataset(constit_files)
+        if not ds:
+            dmsg = f"derived time series for {case_name}:"
+            dmsg += f"\n\tNo files to open."
+            self.debug_log(dmsg)
+            return
+
+        # Grab attributes from first constituent file to be used in derived variable
+        attrs = ds[constit_list[0]].attrs
+
+        # create new file name for derived variable
+        derived_file = constit_files[0].replace(constit_list[0], var)
+
+        # Check if clobber is true for file
+        if Path(derived_file).is_file():
+            if overwrite:
+                Path(derived_file).unlink()
+            else:
+                msg = f"[{__name__}] Warning: '{var}' file was found "
+                msg += "and overwrite is False. Will use existing file."
+                print(msg)
+
+        #NOTE: this will need to be changed when derived equations are more complex! - JR
+        if var == "RESTOM":
+            der_val = ds["FSNT"]-ds["FLNT"]
+        else:
+            # Loop through all constituents and sum
+            der_val = 0
+            for v in constit_list:
+                der_val += ds[v]
+
+        # Set derived variable name and add to dataset
+        der_val.name = var
+        ds[var] = der_val
+
+        # Aerosol Calculations
+        #----------------------------------------------------------------------------------
+        # These will be multiplied by rho (density of dry air)
+
+        # User-defined defaults might not include aerosol zonal list
+        azl = res.get("aerosol_zonal_list", [])
+        if var in azl:
+            # Check if PMID is in file:
+            ds_pmid = self.data.load_dataset(glob.glob(os.path.join(ts_dir, "*.PMID.*"))[0])
+            if not ds_pmid:
+                errmsg = "Missing necessary files for dry air density (rho) "
+                errmsg += "calculation.\nPlease make sure 'PMID' is in the CAM "
+                errmsg += "run for aerosol calculations"
+                print(errmsg)
+                dmsg = "derived time series:"
+                dmsg += f"\n\t missing 'PMID' in {ts_dir}, can't make time series for {var} "
+                self.debug_log(dmsg)
+
+            # Check if T is in file:
+            ds_t = self.data.load_dataset(glob.glob(os.path.join(ts_dir, "*.T.*"))[0])
+            if not ds_t:
+                errmsg = "Missing necessary files for dry air density (rho) "
+                errmsg += "calculation.\nPlease make sure 'T' is in the CAM "
+                errmsg += "run for aerosol calculations"
+                print(errmsg)
+
+                dmsg = "derived time series:"
+                dmsg += f"\n\t missing 'T' in {ts_dir}, can't make time series for {var} "
+                self.debug_log(dmsg)
+
+            # Multiply aerosol by dry air density (rho): (P/Rd*T)
+            ds[var] = ds[var]*(ds_pmid["PMID"]/(res["Rgas"]*ds_t["T"]))
+
+            # Sulfate conversion factor
+            if var == "SO4":
+                ds[var] = ds[var]*(96./115.)
+        #----------------------------------------------------------------------------------
+
+        # Drop all constituents from final saved dataset
+        # These are not necessary because they have their own time series files
+        ds_final = ds.drop_vars(constit_list)
+        # Copy attributes from constituent file to derived variable
+        ds_final[var].attrs = attrs
+        ds_final.to_netcdf(derived_file, unlimited_dims='time', mode='w')
+    # End if (all the necessary constituent files exist)
+########