2024-12-13_15:24:37 [INFO] : __main__ : Starting main()
2024-12-13_15:24:37 [INFO] : analysis.StatisticsDatabase.mpas : Control Experiment: 2024-12-01
2024-12-13_15:24:37 [INFO] : analysis.StatisticsDatabase.mpas : ('Non-control Experiment(s): ', ['2024-12-09'])
2024-12-13_15:24:37 [INFO] : __main__ : 
2024-12-13_15:24:37 [INFO] : __main__ : Analyzing StatsDB for mpas
2024-12-13_15:24:37 [INFO] : analysis.StatisticsDatabase.mpas : =====================================================
2024-12-13_15:24:37 [INFO] : analysis.StatisticsDatabase.mpas : Construct pandas dataframe from static database files
2024-12-13_15:24:37 [INFO] : analysis.StatisticsDatabase.mpas : =====================================================
2024-12-13_15:24:37 [INFO] : analysis.StatisticsDatabase.mpas : Reading intermediate statistics files
2024-12-13_15:24:37 [INFO] : analysis.StatisticsDatabase.mpas : with 128 out of 256 processors
Generating CY-type figures
control: 2024-12-01
experiments: ['2024-12-01:jwittig_3denvar-60-iter_O120km_VarBC.2024-12-01_cron', '2024-12-09:jwittig_3denvar-60-iter_O120km_VarBC.2024-12-09_cron']
model forecast None 2018-04-21 18:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-15 00:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-15 06:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-15 12:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-15 18:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-16 00:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-16 06:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-16 12:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-16 18:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-17 00:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-17 06:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-17 12:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-17 18:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-18 00:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-18 06:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-18 12:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-18 18:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-19 00:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-19 06:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-19 12:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-19 18:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-20 00:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-20 06:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-20 12:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-20 18:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-21 00:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-21 06:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-21 12:00:00
2024-12-13_15:24:47 [INFO] : analysis.StatisticsDatabase.mpas :   Working on cycle time 2018-04-21 18:00:00
2024-12-13_15:24:55 [INFO] : analysis.StatisticsDatabase.mpas : Concatenating statistics sub-dictionaries from multiple processors
2024-12-13_15:24:55 [INFO] : analysis.StatisticsDatabase.mpas : Constructing a dataframe from statistics dictionary
2024-12-13_15:24:57 [INFO] : analysis.StatisticsDatabase.mpas : Sorting the dataframe index
2024-12-13_15:24:57 [INFO] : analysis.StatisticsDatabase.mpas : Extracting index values
2024-12-13_15:25:01 [INFO] : analysis.StatisticsDatabase.mpas : availableDiagnostics: ['mmgfsan']
2024-12-13_15:25:01 [INFO] : analysis.Analyses.mpas : Analyses Constructed
2024-12-13_15:25:01 [INFO] : analysis.Analyses.mpas : Entering Analyses.analyze()
2024-12-13_15:25:01 [INFO] : analysis.AnalysisBase.mpas.CYandBinValAxes2D : analyze()
2024-12-13_15:25:02 [INFO] : analysis.AnalysisBase.mpas.CYandBinValAxes2D : mmgfsan, lat, identity
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
2024-12-13_15:25:24 [INFO] : analysis.AnalysisBase.mpas.CYandBinValAxes2D : mmgfsan, ModLev, ITCZ
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
2024-12-13_15:25:32 [INFO] : analysis.AnalysisBase.mpas.CYandBinValAxes2D : mmgfsan, ModLev, NTro
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
2024-12-13_15:25:41 [INFO] : analysis.AnalysisBase.mpas.CYandBinValAxes2D : mmgfsan, ModLev, NXTro
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
2024-12-13_15:25:49 [INFO] : analysis.AnalysisBase.mpas.CYandBinValAxes2D : mmgfsan, ModLev, STro
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
2024-12-13_15:25:58 [INFO] : analysis.AnalysisBase.mpas.CYandBinValAxes2D : mmgfsan, ModLev, SXTro
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
2024-12-13_15:26:06 [INFO] : analysis.AnalysisBase.mpas.CYandBinValAxes2D : mmgfsan, ModLev, Tro
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
2024-12-13_15:26:14 [INFO] : analysis.AnalysisBase.mpas.CYandBinValAxes2D : mmgfsan, ModLev, abi_g16
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
2024-12-13_15:26:23 [INFO] : analysis.AnalysisBase.mpas.CYandBinValAxes2D : mmgfsan, ModLev, ahi_himawari8
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
2024-12-13_15:26:31 [INFO] : analysis.AnalysisBase.mpas.CYandBinValAxes2D : mmgfsan, ModLev, identity
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:461: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, var]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
2024-12-13_15:26:40 [INFO] : analysis.Analyses.mpas : Exiting Analyses.analyze()
2024-12-13_15:26:40 [INFO] : __main__ : Finished main() successfully