2020-07-31 12:43:30,028 [13551] INFO     esmvaltool.diag_scripts.shared._base,443	Starting diagnostic script script1 with configuration:
auxiliary_data_dir: /nird/home/yanchun/diagnostics/recipes/auxiliary_data
input_data:
  ? /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_pr_2000-2002.nc
  : alias: NorESM1-ME
    dataset: NorESM1-ME
    diagnostic: diagnostic1
    end_year: 2002
    ensemble: r1i1p1
    exp: historical
    filename: /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_pr_2000-2002.nc
    frequency: mon
    institute:
    - NCC
    long_name: Precipitation
    mip: Amon
    modeling_realm:
    - atmos
    preprocessor: default
    project: CMIP5
    recipe_dataset_index: 1
    short_name: pr
    standard_name: precipitation_flux
    start_year: 2000
    units: kg m-2 s-1
    variable_group: pr
  ? /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/CMIP5_NorESM1-M_Amon_historical_r1i1p1_pr_2000-2002.nc
  : alias: NorESM1-M
    dataset: NorESM1-M
    diagnostic: diagnostic1
    end_year: 2002
    ensemble: r1i1p1
    exp: historical
    filename: /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/CMIP5_NorESM1-M_Amon_historical_r1i1p1_pr_2000-2002.nc
    frequency: mon
    institute:
    - NCC
    long_name: Precipitation
    mip: Amon
    modeling_realm:
    - atmos
    preprocessor: default
    project: CMIP5
    recipe_dataset_index: 0
    short_name: pr
    standard_name: precipitation_flux
    start_year: 2000
    units: kg m-2 s-1
    variable_group: pr
  ? /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_ta_2000-2002.nc
  : alias: NorESM1-ME
    dataset: NorESM1-ME
    diagnostic: diagnostic1
    end_year: 2002
    ensemble: r1i1p1
    exp: historical
    filename: /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_ta_2000-2002.nc
    frequency: mon
    institute:
    - NCC
    long_name: Air Temperature
    mip: Amon
    modeling_realm:
    - atmos
    preprocessor: preprocessor1
    project: CMIP5
    recipe_dataset_index: 1
    short_name: ta
    standard_name: air_temperature
    start_year: 2000
    units: K
    variable_group: ta
  ? /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/CMIP5_NorESM1-M_Amon_historical_r1i1p1_ta_2000-2002.nc
  : alias: NorESM1-M
    dataset: NorESM1-M
    diagnostic: diagnostic1
    end_year: 2002
    ensemble: r1i1p1
    exp: historical
    filename: /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/CMIP5_NorESM1-M_Amon_historical_r1i1p1_ta_2000-2002.nc
    frequency: mon
    institute:
    - NCC
    long_name: Air Temperature
    mip: Amon
    modeling_realm:
    - atmos
    preprocessor: preprocessor1
    project: CMIP5
    recipe_dataset_index: 0
    short_name: ta
    standard_name: air_temperature
    start_year: 2000
    units: K
    variable_group: ta
  ? /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/MultiModelMean_Amon_ta_2000-2002.nc
  : alias: MultiModelMean
    dataset: MultiModelMean
    diagnostic: diagnostic1
    end_year: 2002
    ensemble: r1i1p1
    exp: historical
    filename: /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/MultiModelMean_Amon_ta_2000-2002.nc
    frequency: mon
    institute:
    - NCC
    long_name: Air Temperature
    mip: Amon
    modeling_realm:
    - atmos
    preprocessor: preprocessor1
    project: CMIP5
    short_name: ta
    standard_name: air_temperature
    start_year: 2000
    units: K
    variable_group: ta
  ? /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/MultiModelMedian_Amon_ta_2000-2002.nc
  : alias: MultiModelMedian
    dataset: MultiModelMedian
    diagnostic: diagnostic1
    end_year: 2002
    ensemble: r1i1p1
    exp: historical
    filename: /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/MultiModelMedian_Amon_ta_2000-2002.nc
    frequency: mon
    institute:
    - NCC
    long_name: Air Temperature
    mip: Amon
    modeling_realm:
    - atmos
    preprocessor: preprocessor1
    project: CMIP5
    short_name: ta
    standard_name: air_temperature
    start_year: 2000
    units: K
    variable_group: ta
input_files:
- /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/metadata.yml
- /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/metadata.yml
log_level: debug
output_file_type: pdf
plot_dir: /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1
profile_diagnostic: false
quickplot:
  plot_type: pcolormesh
realms:
- atmos
recipe: recipe_python.yml
run_dir: /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/run/diagnostic1/script1
script: script1
themes:
- phys
version: 2.0.0
work_dir: /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/work/diagnostic1/script1
write_netcdf: true
write_plots: true

2020-07-31 12:43:30,029 [13551] INFO     esmvaltool.diag_scripts.shared._base,469	Creating /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/work/diagnostic1/script1
2020-07-31 12:43:30,031 [13551] INFO     esmvaltool.diag_scripts.shared._base,469	Creating /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1
2020-07-31 12:43:30,034 [13551] INFO     diagnostic.py,74	Example of how to select only CMIP5 precipitation data:
[{'alias': 'NorESM1-M',
  'dataset': 'NorESM1-M',
  'diagnostic': 'diagnostic1',
  'end_year': 2002,
  'ensemble': 'r1i1p1',
  'exp': 'historical',
  'filename': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/CMIP5_NorESM1-M_Amon_historical_r1i1p1_pr_2000-2002.nc',
  'frequency': 'mon',
  'institute': ['NCC'],
  'long_name': 'Precipitation',
  'mip': 'Amon',
  'modeling_realm': ['atmos'],
  'preprocessor': 'default',
  'project': 'CMIP5',
  'recipe_dataset_index': 0,
  'short_name': 'pr',
  'standard_name': 'precipitation_flux',
  'start_year': 2000,
  'units': 'kg m-2 s-1',
  'variable_group': 'pr'},
 {'alias': 'NorESM1-ME',
  'dataset': 'NorESM1-ME',
  'diagnostic': 'diagnostic1',
  'end_year': 2002,
  'ensemble': 'r1i1p1',
  'exp': 'historical',
  'filename': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_pr_2000-2002.nc',
  'frequency': 'mon',
  'institute': ['NCC'],
  'long_name': 'Precipitation',
  'mip': 'Amon',
  'modeling_realm': ['atmos'],
  'preprocessor': 'default',
  'project': 'CMIP5',
  'recipe_dataset_index': 1,
  'short_name': 'pr',
  'standard_name': 'precipitation_flux',
  'start_year': 2000,
  'units': 'kg m-2 s-1',
  'variable_group': 'pr'}]
2020-07-31 12:43:30,034 [13551] INFO     diagnostic.py,78	Example of how to sort this selection by dataset:
[{'alias': 'NorESM1-M',
  'dataset': 'NorESM1-M',
  'diagnostic': 'diagnostic1',
  'end_year': 2002,
  'ensemble': 'r1i1p1',
  'exp': 'historical',
  'filename': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/CMIP5_NorESM1-M_Amon_historical_r1i1p1_pr_2000-2002.nc',
  'frequency': 'mon',
  'institute': ['NCC'],
  'long_name': 'Precipitation',
  'mip': 'Amon',
  'modeling_realm': ['atmos'],
  'preprocessor': 'default',
  'project': 'CMIP5',
  'recipe_dataset_index': 0,
  'short_name': 'pr',
  'standard_name': 'precipitation_flux',
  'start_year': 2000,
  'units': 'kg m-2 s-1',
  'variable_group': 'pr'},
 {'alias': 'NorESM1-ME',
  'dataset': 'NorESM1-ME',
  'diagnostic': 'diagnostic1',
  'end_year': 2002,
  'ensemble': 'r1i1p1',
  'exp': 'historical',
  'filename': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_pr_2000-2002.nc',
  'frequency': 'mon',
  'institute': ['NCC'],
  'long_name': 'Precipitation',
  'mip': 'Amon',
  'modeling_realm': ['atmos'],
  'preprocessor': 'default',
  'project': 'CMIP5',
  'recipe_dataset_index': 1,
  'short_name': 'pr',
  'standard_name': 'precipitation_flux',
  'start_year': 2000,
  'units': 'kg m-2 s-1',
  'variable_group': 'pr'}]
2020-07-31 12:43:30,036 [13551] INFO     diagnostic.py,83	Example of how to group and sort input data by standard_name:
OrderedDict([('air_temperature',
              [{'alias': 'MultiModelMean',
                'dataset': 'MultiModelMean',
                'diagnostic': 'diagnostic1',
                'end_year': 2002,
                'ensemble': 'r1i1p1',
                'exp': 'historical',
                'filename': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/MultiModelMean_Amon_ta_2000-2002.nc',
                'frequency': 'mon',
                'institute': ['NCC'],
                'long_name': 'Air Temperature',
                'mip': 'Amon',
                'modeling_realm': ['atmos'],
                'preprocessor': 'preprocessor1',
                'project': 'CMIP5',
                'short_name': 'ta',
                'standard_name': 'air_temperature',
                'start_year': 2000,
                'units': 'K',
                'variable_group': 'ta'},
               {'alias': 'MultiModelMedian',
                'dataset': 'MultiModelMedian',
                'diagnostic': 'diagnostic1',
                'end_year': 2002,
                'ensemble': 'r1i1p1',
                'exp': 'historical',
                'filename': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/MultiModelMedian_Amon_ta_2000-2002.nc',
                'frequency': 'mon',
                'institute': ['NCC'],
                'long_name': 'Air Temperature',
                'mip': 'Amon',
                'modeling_realm': ['atmos'],
                'preprocessor': 'preprocessor1',
                'project': 'CMIP5',
                'short_name': 'ta',
                'standard_name': 'air_temperature',
                'start_year': 2000,
                'units': 'K',
                'variable_group': 'ta'},
               {'alias': 'NorESM1-M',
                'dataset': 'NorESM1-M',
                'diagnostic': 'diagnostic1',
                'end_year': 2002,
                'ensemble': 'r1i1p1',
                'exp': 'historical',
                'filename': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/CMIP5_NorESM1-M_Amon_historical_r1i1p1_ta_2000-2002.nc',
                'frequency': 'mon',
                'institute': ['NCC'],
                'long_name': 'Air Temperature',
                'mip': 'Amon',
                'modeling_realm': ['atmos'],
                'preprocessor': 'preprocessor1',
                'project': 'CMIP5',
                'recipe_dataset_index': 0,
                'short_name': 'ta',
                'standard_name': 'air_temperature',
                'start_year': 2000,
                'units': 'K',
                'variable_group': 'ta'},
               {'alias': 'NorESM1-ME',
                'dataset': 'NorESM1-ME',
                'diagnostic': 'diagnostic1',
                'end_year': 2002,
                'ensemble': 'r1i1p1',
                'exp': 'historical',
                'filename': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_ta_2000-2002.nc',
                'frequency': 'mon',
                'institute': ['NCC'],
                'long_name': 'Air Temperature',
                'mip': 'Amon',
                'modeling_realm': ['atmos'],
                'preprocessor': 'preprocessor1',
                'project': 'CMIP5',
                'recipe_dataset_index': 1,
                'short_name': 'ta',
                'standard_name': 'air_temperature',
                'start_year': 2000,
                'units': 'K',
                'variable_group': 'ta'}]),
             ('precipitation_flux',
              [{'alias': 'NorESM1-M',
                'dataset': 'NorESM1-M',
                'diagnostic': 'diagnostic1',
                'end_year': 2002,
                'ensemble': 'r1i1p1',
                'exp': 'historical',
                'filename': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/CMIP5_NorESM1-M_Amon_historical_r1i1p1_pr_2000-2002.nc',
                'frequency': 'mon',
                'institute': ['NCC'],
                'long_name': 'Precipitation',
                'mip': 'Amon',
                'modeling_realm': ['atmos'],
                'preprocessor': 'default',
                'project': 'CMIP5',
                'recipe_dataset_index': 0,
                'short_name': 'pr',
                'standard_name': 'precipitation_flux',
                'start_year': 2000,
                'units': 'kg m-2 s-1',
                'variable_group': 'pr'},
               {'alias': 'NorESM1-ME',
                'dataset': 'NorESM1-ME',
                'diagnostic': 'diagnostic1',
                'end_year': 2002,
                'ensemble': 'r1i1p1',
                'exp': 'historical',
                'filename': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_pr_2000-2002.nc',
                'frequency': 'mon',
                'institute': ['NCC'],
                'long_name': 'Precipitation',
                'mip': 'Amon',
                'modeling_realm': ['atmos'],
                'preprocessor': 'default',
                'project': 'CMIP5',
                'recipe_dataset_index': 1,
                'short_name': 'pr',
                'standard_name': 'precipitation_flux',
                'start_year': 2000,
                'units': 'kg m-2 s-1',
                'variable_group': 'pr'}])])
2020-07-31 12:43:30,036 [13551] INFO     diagnostic.py,89	Processing variable air_temperature
2020-07-31 12:43:30,036 [13551] INFO     diagnostic.py,91	Processing dataset MultiModelMean
2020-07-31 12:43:30,036 [13551] DEBUG    diagnostic.py,41	Loading /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/MultiModelMean_Amon_ta_2000-2002.nc
2020-07-31 12:43:30,091 [13551] DEBUG    diagnostic.py,44	Running example computation
2020-07-31 12:43:30,098 [13551] INFO     diagnostic.py,52	Saving analysis results to /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/work/diagnostic1/script1/MultiModelMean_Amon_ta_2000-2002_mean.nc
2020-07-31 12:43:30,178 [13551] INFO     diagnostic.py,57	Plotting analysis results to /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/MultiModelMean_Amon_ta_2000-2002_mean.pdf
2020-07-31 12:43:30,178 [13551] DEBUG    esmvaltool.diag_scripts.shared.plot._plot,125	Creating 'pcolormesh' plot /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/MultiModelMean_Amon_ta_2000-2002_mean.pdf
2020-07-31 12:43:30,353 [13551] DEBUG    matplotlib.colorbar,600	locator: <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f86e416fc10>
2020-07-31 12:43:30,354 [13551] DEBUG    matplotlib.colorbar,645	Using auto colorbar locator <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f86e416fc10> on colorbar
2020-07-31 12:43:30,354 [13551] DEBUG    matplotlib.colorbar,799	Setting pcolormesh
2020-07-31 12:43:30,376 [13551] DEBUG    matplotlib.font_manager,1334	findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0.
2020-07-31 12:43:30,376 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,377 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
2020-07-31 12:43:30,377 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
2020-07-31 12:43:30,377 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,377 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
2020-07-31 12:43:30,377 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:30,377 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,377 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:30,377 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,378 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,378 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,378 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,378 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
2020-07-31 12:43:30,378 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
2020-07-31 12:43:30,378 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,378 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,378 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:30,378 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,379 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
2020-07-31 12:43:30,379 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,379 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
2020-07-31 12:43:30,379 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
2020-07-31 12:43:30,379 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:30,379 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
2020-07-31 12:43:30,379 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,379 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
2020-07-31 12:43:30,379 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,380 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
2020-07-31 12:43:30,380 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,380 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
2020-07-31 12:43:30,380 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:30,380 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:30,380 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,380 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:30,380 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,380 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,381 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,381 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:30,381 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial Black' (ariblk.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,381 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial Narrow' (arialni.ttf) italic normal 400 condensed>) = 11.25
2020-07-31 12:43:30,381 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial Narrow' (arialn.ttf) normal normal 400 condensed>) = 10.25
2020-07-31 12:43:30,381 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'LiSu' (simli.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,381 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'FangSong_GB2312' (simfang.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,381 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial' (arial.ttf) normal normal 400 normal>) = 6.413636363636363
2020-07-31 12:43:30,381 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Times New Roman' (timesbi.ttf) italic normal 700 normal>) = 11.335
2020-07-31 12:43:30,382 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'SimHei' (simhei.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,382 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Times New Roman' (timesbd.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:30,382 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arev Sans' (ArevIt.ttf) oblique normal 400 normal>) = 11.05
2020-07-31 12:43:30,382 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'SimSun' (simsun.ttc) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,382 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STXingkai' (stxingka.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,382 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,382 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial' (ariali.ttf) italic normal 400 normal>) = 7.413636363636363
2020-07-31 12:43:30,382 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arev Sans' (ArevBI.ttf) oblique normal 700 normal>) = 11.335
2020-07-31 12:43:30,382 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Microsoft YaHei' (msyh.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,383 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial Narrow' (arialnb.ttf) normal normal 700 condensed>) = 10.535
2020-07-31 12:43:30,383 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arev Sans' (ArevBd.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:30,383 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'YouYuan' (simyou.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,383 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial' (arialbi.ttf) italic normal 700 normal>) = 7.698636363636363
2020-07-31 12:43:30,383 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Times New Roman' (timesi.ttf) italic normal 400 normal>) = 11.05
2020-07-31 12:43:30,383 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arev Sans' (Arev.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,383 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'KaiTi_GB2312' (simkai.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,383 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial' (arialbd.ttf) normal normal 700 normal>) = 6.698636363636363
2020-07-31 12:43:30,383 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial Narrow' (arialnbi.ttf) italic normal 700 condensed>) = 11.535
2020-07-31 12:43:30,384 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Times New Roman' (times.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:30,384 [13551] DEBUG    matplotlib.font_manager,1366	findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0 to DejaVu Sans ('/projects/NS9252K/conda/esmvaltool/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000.
2020-07-31 12:43:37,993 [13551] DEBUG    matplotlib.backends.backend_pdf,763	Assigning font /b'F1' = '/projects/NS9252K/conda/esmvaltool/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
2020-07-31 12:43:38,004 [13551] DEBUG    matplotlib.font_manager,1334	findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.
2020-07-31 12:43:38,005 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeFiveSym' (STIXSizFiveSymReg.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,005 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Bold.ttf) normal normal 700 normal>) = 0.33499999999999996
2020-07-31 12:43:38,005 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXNonUnicode' (STIXNonUniIta.ttf) italic normal 400 normal>) = 11.05
2020-07-31 12:43:38,005 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmss10' (cmss10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,005 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans' (DejaVuSans-BoldOblique.ttf) oblique normal 700 normal>) = 1.335
2020-07-31 12:43:38,005 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBol.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:38,005 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmsy10' (cmsy10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,005 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Bold.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:38,005 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymReg.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,005 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Serif Display' (DejaVuSerifDisplay.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,005 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymReg.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymReg.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans' (DejaVuSans-Oblique.ttf) oblique normal 400 normal>) = 1.05
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans' (DejaVuSans.ttf) normal normal 400 normal>) = 0.05
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmb10' (cmb10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymReg.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeOneSym' (STIXSizOneSymBol.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXGeneral' (STIXGeneralItalic.ttf) italic normal 400 normal>) = 11.05
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXGeneral' (STIXGeneral.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXGeneral' (STIXGeneralBolIta.ttf) italic normal 700 normal>) = 11.335
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-BoldOblique.ttf) oblique normal 700 normal>) = 11.335
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeThreeSym' (STIXSizThreeSymBol.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-BoldItalic.ttf) italic normal 700 normal>) = 11.335
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,006 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Italic.ttf) italic normal 400 normal>) = 11.05
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmtt10' (cmtt10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans Mono' (DejaVuSansMono-Oblique.ttf) oblique normal 400 normal>) = 11.05
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXNonUnicode' (STIXNonUni.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXNonUnicode' (STIXNonUniBolIta.ttf) italic normal 700 normal>) = 11.335
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXGeneral' (STIXGeneralBol.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeTwoSym' (STIXSizTwoSymBol.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmmi10' (cmmi10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Serif' (DejaVuSerif-Bold.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Sans Display' (DejaVuSansDisplay.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'DejaVu Serif' (DejaVuSerif.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmr10' (cmr10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STIXSizeFourSym' (STIXSizFourSymBol.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial Black' (ariblk.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial Narrow' (arialni.ttf) italic normal 400 condensed>) = 11.25
2020-07-31 12:43:38,007 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial Narrow' (arialn.ttf) normal normal 400 condensed>) = 10.25
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'LiSu' (simli.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'FangSong_GB2312' (simfang.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial' (arial.ttf) normal normal 400 normal>) = 6.413636363636363
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Times New Roman' (timesbi.ttf) italic normal 700 normal>) = 11.335
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'SimHei' (simhei.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Times New Roman' (timesbd.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arev Sans' (ArevIt.ttf) oblique normal 400 normal>) = 11.05
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'SimSun' (simsun.ttc) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'STXingkai' (stxingka.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'cmex10' (cmex10.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial' (ariali.ttf) italic normal 400 normal>) = 7.413636363636363
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arev Sans' (ArevBI.ttf) oblique normal 700 normal>) = 11.335
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Microsoft YaHei' (msyh.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial Narrow' (arialnb.ttf) normal normal 700 condensed>) = 10.535
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arev Sans' (ArevBd.ttf) normal normal 700 normal>) = 10.335
2020-07-31 12:43:38,008 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'YouYuan' (simyou.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,009 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial' (arialbi.ttf) italic normal 700 normal>) = 7.698636363636363
2020-07-31 12:43:38,009 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Times New Roman' (timesi.ttf) italic normal 400 normal>) = 11.05
2020-07-31 12:43:38,009 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arev Sans' (Arev.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,009 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'KaiTi_GB2312' (simkai.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,009 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial' (arialbd.ttf) normal normal 700 normal>) = 6.698636363636363
2020-07-31 12:43:38,009 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Arial Narrow' (arialnbi.ttf) italic normal 700 condensed>) = 11.535
2020-07-31 12:43:38,009 [13551] DEBUG    matplotlib.font_manager,1346	findfont: score(<Font 'Times New Roman' (times.ttf) normal normal 400 normal>) = 10.05
2020-07-31 12:43:38,009 [13551] DEBUG    matplotlib.font_manager,1366	findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('/projects/NS9252K/conda/esmvaltool/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000.
2020-07-31 12:43:38,025 [13551] DEBUG    matplotlib.backends.backend_pdf,805	Embedding font /projects/NS9252K/conda/esmvaltool/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
2020-07-31 12:43:38,025 [13551] DEBUG    matplotlib.backends.backend_pdf,812	Writing TrueType font.
2020-07-31 12:43:38,131 [13551] INFO     diagnostic.py,61	Recording provenance of /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/work/diagnostic1/script1/MultiModelMean_Amon_ta_2000-2002_mean.nc:
{'ancestors': ['/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/MultiModelMean_Amon_ta_2000-2002.nc'],
 'authors': ['andela_bouwe', 'righi_mattia'],
 'caption': 'Average Air Temperature between 2000 and 2002 according to '
            'MultiModelMean.',
 'domains': ['global'],
 'plot_file': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/MultiModelMean_Amon_ta_2000-2002_mean.pdf',
 'plot_types': ['zonal'],
 'references': ['acknow_project'],
 'statistics': ['mean']}
2020-07-31 12:43:38,134 [13551] INFO     diagnostic.py,91	Processing dataset MultiModelMedian
2020-07-31 12:43:38,134 [13551] DEBUG    diagnostic.py,41	Loading /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/MultiModelMedian_Amon_ta_2000-2002.nc
2020-07-31 12:43:38,161 [13551] DEBUG    diagnostic.py,44	Running example computation
2020-07-31 12:43:38,166 [13551] INFO     diagnostic.py,52	Saving analysis results to /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/work/diagnostic1/script1/MultiModelMedian_Amon_ta_2000-2002_mean.nc
2020-07-31 12:43:38,201 [13551] INFO     diagnostic.py,57	Plotting analysis results to /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/MultiModelMedian_Amon_ta_2000-2002_mean.pdf
2020-07-31 12:43:38,202 [13551] DEBUG    esmvaltool.diag_scripts.shared.plot._plot,125	Creating 'pcolormesh' plot /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/MultiModelMedian_Amon_ta_2000-2002_mean.pdf
2020-07-31 12:43:38,348 [13551] DEBUG    matplotlib.colorbar,600	locator: <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f86e40c4910>
2020-07-31 12:43:38,348 [13551] DEBUG    matplotlib.colorbar,645	Using auto colorbar locator <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f86e40c4910> on colorbar
2020-07-31 12:43:38,349 [13551] DEBUG    matplotlib.colorbar,799	Setting pcolormesh
2020-07-31 12:43:45,666 [13551] DEBUG    matplotlib.backends.backend_pdf,763	Assigning font /b'F1' = '/projects/NS9252K/conda/esmvaltool/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
2020-07-31 12:43:45,691 [13551] DEBUG    matplotlib.backends.backend_pdf,805	Embedding font /projects/NS9252K/conda/esmvaltool/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
2020-07-31 12:43:45,691 [13551] DEBUG    matplotlib.backends.backend_pdf,812	Writing TrueType font.
2020-07-31 12:43:45,698 [13551] INFO     diagnostic.py,61	Recording provenance of /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/work/diagnostic1/script1/MultiModelMedian_Amon_ta_2000-2002_mean.nc:
{'ancestors': ['/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/MultiModelMedian_Amon_ta_2000-2002.nc'],
 'authors': ['andela_bouwe', 'righi_mattia'],
 'caption': 'Average Air Temperature between 2000 and 2002 according to '
            'MultiModelMedian.',
 'domains': ['global'],
 'plot_file': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/MultiModelMedian_Amon_ta_2000-2002_mean.pdf',
 'plot_types': ['zonal'],
 'references': ['acknow_project'],
 'statistics': ['mean']}
2020-07-31 12:43:45,704 [13551] INFO     diagnostic.py,91	Processing dataset NorESM1-M
2020-07-31 12:43:45,704 [13551] DEBUG    diagnostic.py,41	Loading /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/CMIP5_NorESM1-M_Amon_historical_r1i1p1_ta_2000-2002.nc
2020-07-31 12:43:45,731 [13551] DEBUG    diagnostic.py,44	Running example computation
2020-07-31 12:43:45,736 [13551] INFO     diagnostic.py,52	Saving analysis results to /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/work/diagnostic1/script1/CMIP5_NorESM1-M_Amon_historical_r1i1p1_ta_2000-2002_mean.nc
2020-07-31 12:43:45,769 [13551] INFO     diagnostic.py,57	Plotting analysis results to /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/CMIP5_NorESM1-M_Amon_historical_r1i1p1_ta_2000-2002_mean.pdf
2020-07-31 12:43:45,769 [13551] DEBUG    esmvaltool.diag_scripts.shared.plot._plot,125	Creating 'pcolormesh' plot /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/CMIP5_NorESM1-M_Amon_historical_r1i1p1_ta_2000-2002_mean.pdf
2020-07-31 12:43:45,914 [13551] DEBUG    matplotlib.colorbar,600	locator: <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f848c11b970>
2020-07-31 12:43:45,915 [13551] DEBUG    matplotlib.colorbar,645	Using auto colorbar locator <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f848c11b970> on colorbar
2020-07-31 12:43:45,915 [13551] DEBUG    matplotlib.colorbar,799	Setting pcolormesh
2020-07-31 12:43:53,235 [13551] DEBUG    matplotlib.backends.backend_pdf,763	Assigning font /b'F1' = '/projects/NS9252K/conda/esmvaltool/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
2020-07-31 12:43:53,266 [13551] DEBUG    matplotlib.backends.backend_pdf,805	Embedding font /projects/NS9252K/conda/esmvaltool/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
2020-07-31 12:43:53,266 [13551] DEBUG    matplotlib.backends.backend_pdf,812	Writing TrueType font.
2020-07-31 12:43:53,277 [13551] INFO     diagnostic.py,61	Recording provenance of /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/work/diagnostic1/script1/CMIP5_NorESM1-M_Amon_historical_r1i1p1_ta_2000-2002_mean.nc:
{'ancestors': ['/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/CMIP5_NorESM1-M_Amon_historical_r1i1p1_ta_2000-2002.nc'],
 'authors': ['andela_bouwe', 'righi_mattia'],
 'caption': 'Average Air Temperature between 2000 and 2002 according to '
            'NorESM1-M.',
 'domains': ['global'],
 'plot_file': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/CMIP5_NorESM1-M_Amon_historical_r1i1p1_ta_2000-2002_mean.pdf',
 'plot_types': ['zonal'],
 'references': ['acknow_project'],
 'statistics': ['mean']}
2020-07-31 12:43:53,287 [13551] INFO     diagnostic.py,91	Processing dataset NorESM1-ME
2020-07-31 12:43:53,287 [13551] DEBUG    diagnostic.py,41	Loading /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_ta_2000-2002.nc
2020-07-31 12:43:53,319 [13551] DEBUG    diagnostic.py,44	Running example computation
2020-07-31 12:43:53,325 [13551] INFO     diagnostic.py,52	Saving analysis results to /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/work/diagnostic1/script1/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_ta_2000-2002_mean.nc
2020-07-31 12:43:53,361 [13551] INFO     diagnostic.py,57	Plotting analysis results to /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_ta_2000-2002_mean.pdf
2020-07-31 12:43:53,361 [13551] DEBUG    esmvaltool.diag_scripts.shared.plot._plot,125	Creating 'pcolormesh' plot /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_ta_2000-2002_mean.pdf
2020-07-31 12:43:53,517 [13551] DEBUG    matplotlib.colorbar,600	locator: <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f848c0bf910>
2020-07-31 12:43:53,517 [13551] DEBUG    matplotlib.colorbar,645	Using auto colorbar locator <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f848c0bf910> on colorbar
2020-07-31 12:43:53,517 [13551] DEBUG    matplotlib.colorbar,799	Setting pcolormesh
2020-07-31 12:44:01,586 [13551] DEBUG    matplotlib.backends.backend_pdf,763	Assigning font /b'F1' = '/projects/NS9252K/conda/esmvaltool/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
2020-07-31 12:44:01,628 [13551] DEBUG    matplotlib.backends.backend_pdf,805	Embedding font /projects/NS9252K/conda/esmvaltool/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
2020-07-31 12:44:01,628 [13551] DEBUG    matplotlib.backends.backend_pdf,812	Writing TrueType font.
2020-07-31 12:44:01,639 [13551] INFO     diagnostic.py,61	Recording provenance of /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/work/diagnostic1/script1/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_ta_2000-2002_mean.nc:
{'ancestors': ['/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/ta/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_ta_2000-2002.nc'],
 'authors': ['andela_bouwe', 'righi_mattia'],
 'caption': 'Average Air Temperature between 2000 and 2002 according to '
            'NorESM1-ME.',
 'domains': ['global'],
 'plot_file': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_ta_2000-2002_mean.pdf',
 'plot_types': ['zonal'],
 'references': ['acknow_project'],
 'statistics': ['mean']}
2020-07-31 12:44:01,657 [13551] INFO     diagnostic.py,89	Processing variable precipitation_flux
2020-07-31 12:44:01,657 [13551] INFO     diagnostic.py,91	Processing dataset NorESM1-M
2020-07-31 12:44:01,657 [13551] DEBUG    diagnostic.py,41	Loading /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/CMIP5_NorESM1-M_Amon_historical_r1i1p1_pr_2000-2002.nc
2020-07-31 12:44:01,687 [13551] DEBUG    diagnostic.py,44	Running example computation
2020-07-31 12:44:01,694 [13551] INFO     diagnostic.py,52	Saving analysis results to /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/work/diagnostic1/script1/CMIP5_NorESM1-M_Amon_historical_r1i1p1_pr_2000-2002_mean.nc
2020-07-31 12:44:01,727 [13551] INFO     diagnostic.py,57	Plotting analysis results to /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/CMIP5_NorESM1-M_Amon_historical_r1i1p1_pr_2000-2002_mean.pdf
2020-07-31 12:44:01,727 [13551] DEBUG    esmvaltool.diag_scripts.shared.plot._plot,125	Creating 'pcolormesh' plot /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/CMIP5_NorESM1-M_Amon_historical_r1i1p1_pr_2000-2002_mean.pdf
2020-07-31 12:44:02,185 [13551] DEBUG    matplotlib.colorbar,600	locator: <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f848c0dc2b0>
2020-07-31 12:44:02,186 [13551] DEBUG    matplotlib.colorbar,645	Using auto colorbar locator <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f848c0dc2b0> on colorbar
2020-07-31 12:44:02,186 [13551] DEBUG    matplotlib.colorbar,799	Setting pcolormesh
2020-07-31 12:44:04,946 [13551] DEBUG    matplotlib.backends.backend_pdf,763	Assigning font /b'F1' = '/projects/NS9252K/conda/esmvaltool/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
2020-07-31 12:44:04,993 [13551] DEBUG    matplotlib.backends.backend_pdf,805	Embedding font /projects/NS9252K/conda/esmvaltool/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
2020-07-31 12:44:04,993 [13551] DEBUG    matplotlib.backends.backend_pdf,812	Writing TrueType font.
2020-07-31 12:44:05,004 [13551] INFO     diagnostic.py,61	Recording provenance of /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/work/diagnostic1/script1/CMIP5_NorESM1-M_Amon_historical_r1i1p1_pr_2000-2002_mean.nc:
{'ancestors': ['/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/CMIP5_NorESM1-M_Amon_historical_r1i1p1_pr_2000-2002.nc'],
 'authors': ['andela_bouwe', 'righi_mattia'],
 'caption': 'Average Precipitation between 2000 and 2002 according to '
            'NorESM1-M.',
 'domains': ['global'],
 'plot_file': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/CMIP5_NorESM1-M_Amon_historical_r1i1p1_pr_2000-2002_mean.pdf',
 'plot_types': ['zonal'],
 'references': ['acknow_project'],
 'statistics': ['mean']}
2020-07-31 12:44:05,028 [13551] INFO     diagnostic.py,91	Processing dataset NorESM1-ME
2020-07-31 12:44:05,028 [13551] DEBUG    diagnostic.py,41	Loading /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_pr_2000-2002.nc
2020-07-31 12:44:05,053 [13551] DEBUG    diagnostic.py,44	Running example computation
2020-07-31 12:44:05,061 [13551] INFO     diagnostic.py,52	Saving analysis results to /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/work/diagnostic1/script1/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_pr_2000-2002_mean.nc
2020-07-31 12:44:05,092 [13551] INFO     diagnostic.py,57	Plotting analysis results to /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_pr_2000-2002_mean.pdf
2020-07-31 12:44:05,092 [13551] DEBUG    esmvaltool.diag_scripts.shared.plot._plot,125	Creating 'pcolormesh' plot /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_pr_2000-2002_mean.pdf
2020-07-31 12:44:05,492 [13551] DEBUG    matplotlib.colorbar,600	locator: <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f848c18fd00>
2020-07-31 12:44:05,492 [13551] DEBUG    matplotlib.colorbar,645	Using auto colorbar locator <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f848c18fd00> on colorbar
2020-07-31 12:44:05,492 [13551] DEBUG    matplotlib.colorbar,799	Setting pcolormesh
2020-07-31 12:44:07,490 [13551] DEBUG    matplotlib.backends.backend_pdf,763	Assigning font /b'F1' = '/projects/NS9252K/conda/esmvaltool/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
2020-07-31 12:44:07,523 [13551] DEBUG    matplotlib.backends.backend_pdf,805	Embedding font /projects/NS9252K/conda/esmvaltool/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
2020-07-31 12:44:07,523 [13551] DEBUG    matplotlib.backends.backend_pdf,812	Writing TrueType font.
2020-07-31 12:44:07,531 [13551] INFO     diagnostic.py,61	Recording provenance of /projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/work/diagnostic1/script1/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_pr_2000-2002_mean.nc:
{'ancestors': ['/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/preproc/diagnostic1/pr/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_pr_2000-2002.nc'],
 'authors': ['andela_bouwe', 'righi_mattia'],
 'caption': 'Average Precipitation between 2000 and 2002 according to '
            'NorESM1-ME.',
 'domains': ['global'],
 'plot_file': '/projects/NS2345K/www/diagnostics/esmvaltool/yanchun/recipe_python_20200731_124254/plots/diagnostic1/script1/CMIP5_NorESM1-ME_Amon_historical_r1i1p1_pr_2000-2002_mean.pdf',
 'plot_types': ['zonal'],
 'references': ['acknow_project'],
 'statistics': ['mean']}
2020-07-31 12:44:07,552 [13551] INFO     esmvaltool.diag_scripts.shared._base,480	End of diagnostic script run.