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Search ESGF for model runs that contain multiple variables

$ python cmip6-variable-search.py --source_id TaiESM1 --experiment_id ssp126 --variable tas mrro pr evspsbl --frequency mon
                                                                                                  variable_id
mip_era activity_id institution_id source_id experiment_id member_id table_id grid_label version
CMIP6   ScenarioMIP AS-RCEC        TaiESM1   ssp126        r1i1p1f1  Amon     gn         20201124     evspsbl
                                                                                         20201124          pr
                                                                                         20201124         tas
                                                                     Lmon     gn         20201124        mrro

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#!/bin/bash

## Option A - use the central conda environment
# module use /g/data/hh5/public/modules
# module load conda/analysis3

## Option B - use your own conda environment
conda create -c conda-forge -n dynlib python numpy pytest liblapack pytz basemap scipy matplotlib pillow netcdf4 gfortran_impl_linux-64
conda activate dynlib

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#!/g/data/hh5/public/apps/miniconda3/envs/analysis3-20.01/bin/python
"""
Extract a year of data from a UM ancil file, and use it to create a new periodic ancillary

    ./extract_ancil_year.py --year=2000 --output=SPARCO3_2000.anc ~access/data/ancil/CMIP5/SPARCO3_1850-2009_L38.anc
"""

import mule
import argparse

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#!/bin/bash
set -eux

# Set up your run directory following https://accessdev.nci.org.au/trac/wiki/access/ACCESS1.0_raijin
# Also add oasis3 to submodels/ with 'svn co https://access-svn.nci.org.au/svn/oasis/branches/oasis3_cmip5'

# Number of processors CICE will be assigned
CICE_PROCS=6

# Clear the environment file

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