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        "\n# Plotting Baseline Surface Radiation Network (BSRN) QC Flags\n\nSimple example for applying BSRN QC and\nplotting the data and the corresponding QC flags\nusing colorblind friendly colors.\nhttps://bsrn.awi.de/data/quality-checks/\n\nAuthor: Ken Kehoe\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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      "source": [
        "from arm_test_data import DATASETS\nfrom matplotlib import pyplot as plt\n\nimport act\n\n# Read in data and convert from ARM QC standard to CF QC standard\nfilename_brs = DATASETS.fetch('sgpbrsC1.b1.20190705.000000.cdf')\nds = act.io.arm.read_arm_netcdf(filename_brs, cleanup_qc=True)\n\n# Creat Plot Display and plot data including embedded QC from data file\nvariable = 'down_short_hemisp'\ndisplay = act.plotting.TimeSeriesDisplay(ds, figsize=(15, 10), subplot_shape=(2,))\n\n# Plot radiation data in top plot\ndisplay.plot(variable, subplot_index=(0,), day_night_background=True, cvd_friendly=True)\n\n# Plot ancillary QC data in bottom plot\ndisplay.qc_flag_block_plot(variable, subplot_index=(1,), cvd_friendly=True)\nplt.show()\n\n# Add initial BSRN QC tests to ancillary QC varialbles. Use defualts for\n# test set to Physicall Possible and use_dask.\nds.qcfilter.bsrn_limits_test(\n    gbl_SW_dn_name='down_short_hemisp',\n    glb_diffuse_SW_dn_name='down_short_diffuse_hemisp',\n    direct_normal_SW_dn_name='short_direct_normal',\n    glb_SW_up_name='up_short_hemisp',\n    glb_LW_dn_name='down_long_hemisp_shaded',\n    glb_LW_up_name='up_long_hemisp',\n)\n\n# Add initial BSRN QC tests to ancillary QC varialbles. Use defualts for\n# test set to Extremely Rare\" and to use Dask processing.\nds.qcfilter.bsrn_limits_test(\n    test='Extremely Rare',\n    gbl_SW_dn_name='down_short_hemisp',\n    glb_diffuse_SW_dn_name='down_short_diffuse_hemisp',\n    direct_normal_SW_dn_name='short_direct_normal',\n    glb_SW_up_name='up_short_hemisp',\n    glb_LW_dn_name='down_long_hemisp_shaded',\n    glb_LW_up_name='up_long_hemisp',\n    use_dask=True,\n)\n\n# Add comparison BSRN QC tests to ancillary QC varialbles. Request two of the possible\n# comparison tests.\nds.qcfilter.bsrn_comparison_tests(\n    ['Global over Sum SW Ratio', 'Diffuse Ratio'],\n    gbl_SW_dn_name='down_short_hemisp',\n    glb_diffuse_SW_dn_name='down_short_diffuse_hemisp',\n    direct_normal_SW_dn_name='short_direct_normal',\n)\n\n# Add K-tests QC to ancillary QC variables.\nds.qcfilter.normalized_rradiance_test(\n    [\n        'Clearness index',\n        'Upper total transmittance',\n        'Upper direct transmittance',\n        'Upper diffuse transmittance',\n    ],\n    dni='short_direct_normal',\n    dhi='down_short_hemisp',\n    ghi='down_short_diffuse_hemisp',\n)\n\n# Creat Plot Display and plot data including embedded QC from data file\nvariable = 'down_short_hemisp'\ndisplay = act.plotting.TimeSeriesDisplay(ds, figsize=(15, 10), subplot_shape=(2,))\n\n# Plot radiation data in top plot. Add QC information to top plot.\ndisplay.plot(\n    variable,\n    subplot_index=(0,),\n    day_night_background=True,\n    assessment_overplot=True,\n    cvd_friendly=True,\n)\n\n# Plot ancillary QC data in bottom plot\ndisplay.qc_flag_block_plot(variable, subplot_index=(1,), cvd_friendly=True)\nplt.show()"
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