[Bug]: ENSO metrics run error

[db9608]

What happened?

error occured

What did you expect to happen? Are there are possible answers you came across?

No response

Minimal Complete Verifiable Example (MVCE)

"enso_driver.py -p ...." from the ENSO demo notebook

Relevant log output

mip: cmip5
exp: historical
models: ['ACCESS1-0']
realization:  r1i1p1
mc_name: ENSO_perf
outdir: demo_output/basicTestEnso/ENSO_perf
netcdf_path: demo_output/basicTestEnso/ENSO_perf
debug: True
obs_cmor: True
obs_cmor_path: demo_data/obs4MIPs_PCMDI_monthly
egg_pth: /rhome/soo/anaconda3/envs/pcmdi_metrics_new/share/pmp
output directory for graphics:demo_output/basicTestEnso/ENSO_perf
output directory for diagnostic_results:demo_output/basicTestEnso/ENSO_perf
output directory for metrics_results:demo_output/basicTestEnso/ENSO_perf
list_variables: ['sst']
list_obs: ['AVISO-1-0', 'ERA-INT', 'GPCP-2-3', 'HadISST-1-1']
file_name: None
file_name: demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
list_files: demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
file_name: None
file_name: demo_data/obs4MIPs_PCMDI_monthly/MOHC/HadISST-1-1/mon/ts/gn/v20210727/ts_mon_HadISST-1-1_PCMDI_gn_187001-201907.nc
list_files: demo_data/obs4MIPs_PCMDI_monthly/MOHC/HadISST-1-1/mon/ts/gn/v20210727/ts_mon_HadISST-1-1_PCMDI_gn_187001-201907.nc
PMPdriver: dict_obs readin end
Process start:Fri Jun 13 15:47:03 2025
models: ['ACCESS1-0']
 ----- model:  ACCESS1-0  ---------------------
PMPdriver: var loop start for model  ACCESS1-0
modpath: demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
model_path_list: ['demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc']
realization: r1i1p1
runs_list: ['r1i1p1']
 --- run:  r1i1p1  ---
list_variables: ['sst']
 --- var:  sst  ---
var_in_file: ts
var, areacell_in_file, realm: sst areacella atmos
path:  demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
file_list:  ['demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc']
path:  demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc
file_list:  ['demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc']
path:  demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc
file_list:  ['demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc']
PMPdriver: var loop end
dictDatasets:
{
    "model": {
        "ACCESS1-0_r1i1p1": {
            "sst": {
                "areaname": "areacella",
                "landmaskname": "sftlf",
                "path + filename": "demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc",
                "path + filename_area": "demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc",
                "path + filename_landmask": "demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc",
                "varname": "ts"
            }
        }
    },
    "observations": {
        "ERA-Interim": {
            "sst": {
                "areaname": "areacella",
                "landmaskname": "sftlf",
                "path + filename": "demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc",
                "path + filename_area": null,
                "path + filename_landmask": null,
                "varname": "ts"
            }
        },
        "HadISST": {
            "sst": {
                "areaname": "areacella",
                "landmaskname": "sftlf",
                "path + filename": "demo_data/obs4MIPs_PCMDI_monthly/MOHC/HadISST-1-1/mon/ts/gn/v20210727/ts_mon_HadISST-1-1_PCMDI_gn_187001-201907.nc",
                "path + filename_area": null,
                "path + filename_landmask": null,
                "varname": "ts"
            }
        }
    }
}

### Compute the metric collection ###

     ComputeCollection: metric = EnsoAmpl
     ComputeMetric: oneVarmetric = ACCESS1-0_r1i1p1
          EnsoAmpl
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 27)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 27)
               after PreProcessTS
                    axes list 1: (sst) ['time']
                    time bounds 1: (sst) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                    shape 1: (sst) (1872,)
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 25, 89)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (25, 89)
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 65)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 65)
          after PreProcessTS
               axes list 1: (sst1) ['time', 'lat', 'lon']
               time bounds 1: (sst1) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
               shape 1: (sst1) (1872, 25, 89)
               axes list 2: (sst2) ['time', 'lat', 'lon']
               time bounds 2: (sst2) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
               shape 2: (sst2) (1872, 9, 65)
               EnsoUvcdatToolsLib AverageMeridional
          end of EnsoAmpl
               metric value: 0.6630260736952586
               metric value_error: 0.0530845705527287
     ComputeMetric: oneVarmetric = ERA-Interim
          EnsoAmpl
                    Files
                         file name 1: (temperature) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (temperature) (480, 13, 67)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/rhome/soo/anaconda3/envs/pcmdi_metrics_new/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = EnsoDuration
     ComputeMetric: oneVarmetric = ACCESS1-0_r1i1p1
          EnsoDuration
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 27)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 27)
               after PreProcessTS
                    axes list 1: ['time']
                    time bounds 1: ('1850-3-16 12:0:0.0', '2005-10-16 12:0:0.0')
                    shape 1: (1868,)
               after SeasonalMean
                    axes list 1: ['time']
                    time bounds 1: ('1850-12-16 12:0:0.0', '2004-12-16 12:0:0.0')
                    shape 1: (155,)
               after PreProcessTS
                    axes list 1: ['time']
                    time bounds 1: ('1850-3-16 12:0:0.0', '2005-10-16 12:0:0.0')
                    shape 1: (1868,)
               after LinearRegressionTsAgainstTs
                    axes list 1: ['months']
                    shape 1: (72,)
/rhome/soo/anaconda3/envs/pcmdi_metrics_new/lib/python3.10/site-packages/cdms2/MV2.py:318: Warning: arguments order for compress function has changed
it is now: MV2.copmress(array,condition), if your code seems to not react or act wrong to a call to compress, please check this
  warnings.warn(
               after DetectEvents
                    nina year 1: nbr(36): [1861, 1865, 1879, 1882, 1885, 1888, 1889, 1890, 1892, 1894, 1895, 1899, 1900, 1906, 1910, 1918, 1924, 1926, 1928, 1931, 1932, 1935, 1947, 1951, 1953, 1963, 1966, 1969, 1972, 1974, 1976, 1984, 1985, 1991, 1995, 2002]
                    nino year 1: nbr(32): [1853, 1859, 1860, 1862, 1863, 1866, 1868, 1878, 1891, 1902, 1908, 1909, 1914, 1916, 1919, 1922, 1923, 1925, 1941, 1942, 1946, 1954, 1955, 1960, 1968, 1971, 1975, 1977, 1987, 1997, 1999, 2004]
               after DurationAllEvent
                    nina year 1: mean(12.944444444444445): [ 9 18 16 17 14 34 34 34  8 20 20  8  7  8 14  6  7 10  6 14  5  9  5  7
  7 13 17 11 10  7  7 19 19  9  6 11]
                    nino year 1: mean(14.1875): [15 20 20 19 19  8 10 16  6 11 20 20 11 12  7 20 20 11  8  8  8 24 24  5
  9 13  9 17 25  9 15 15]
               before SaveNetcdf
                    variable name 1: sst_against_sst_ts__ACCESS1-0_r1i1p1
                    axes list 1: ['months']
                    shape 1: (72,)
                    variable name 2: Nina_duration__ACCESS1-0_r1i1p1
                    axes list 2: ['years']
                    shape 2: (36,)
                    nina year 2: 216 [1861, 1865, 1879, 1882, 1885, 1888, 1889, 1890, 1892, 1894, 1895, 1899, 1900, 1906, 1910, 1918, 1924, 1926, 1928, 1931, 1932, 1935, 1947, 1951, 1953, 1963, 1966, 1969, 1972, 1974, 1976, 1984, 1985, 1991, 1995, 2002]
                    variable name 3: Nino_duration__ACCESS1-0_r1i1p1
                    axes list 3: ['years']
                    shape 3: (32,)
                    nino year 3: 192 [1861, 1865, 1879, 1882, 1885, 1888, 1889, 1890, 1892, 1894, 1895, 1899, 1900, 1906, 1910, 1918, 1924, 1926, 1928, 1931, 1932, 1935, 1947, 1951, 1953, 1963, 1966, 1969, 1972, 1974, 1976, 1984, 1985, 1991, 1995, 2002]
     ComputeMetric: oneVarmetric = ERA-Interim
          EnsoDuration
                    Files
                         file name 1: (temperature) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (temperature) (480, 13, 67)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/rhome/soo/anaconda3/envs/pcmdi_metrics_new/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = EnsoSeasonality
     ComputeMetric: oneVarmetric = ACCESS1-0_r1i1p1
          EnsoSeasonality
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 27)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 27)
               after PreProcessTS
                    axes list 1: (sst) ['time']
                    time bounds 1: (sst) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                    shape 1: (sst) (1872,)
               after SeasonalMean
                    axes list 1: (sst_NDJ) ['time']
                    shape 1: (sst_NDJ) (155,)
                    axes list 2: (sst_NDJ) ['time']
                    shape 2: (sst_NDJ) (156,)
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 25, 89)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (25, 89)
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 65)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 65)
          after PreProcessTS: netcdf
               axes list 1: (sst1) ['time', 'lat', 'lon']
               time bounds 1: (sst1) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
               shape 1: (sst1) (1872, 25, 89)
               axes list 2: (sst2) ['time', 'lat', 'lon']
               time bounds 2: (sst2) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
               shape 2: (sst2) (1872, 9, 65)
               axes list 3: (sst3) ['time', 'lat', 'lon']
               time bounds 3: (sst3) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
               shape 3: (sst3) (1872, 9, 65)
               after SeasonalMean: netcdf
                    axes list 1: (sst1_NDJ) ['time', 'lat', 'lon']
                    shape 1: (sst1_NDJ) (155, 25, 89)
                    axes list 2: (sst1_MAM) ['time', 'lat', 'lon']
                    shape 2: (sst1_MAM) (156, 25, 89)
                    axes list 3: (sst3_NDJ) ['time', 'lat', 'lon']
                    shape 3: (sst3_NDJ) (155, 9, 65)
                    axes list 4: (sst3_MAM) ['time', 'lat', 'lon']
                    shape 4: (sst3_MAM) (156, 9, 65)
               EnsoUvcdatToolsLib AverageMeridional
               EnsoUvcdatToolsLib AverageMeridional
               EnsoUvcdatToolsLib AverageMeridional
          end of EnsoSeasonality
               metric value: 1.6580607585263336
               metric value_error: 0.2659297490540511
     ComputeMetric: oneVarmetric = ERA-Interim
          EnsoSeasonality
                    Files
                         file name 1: (temperature) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (temperature) (480, 13, 67)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/rhome/soo/anaconda3/envs/pcmdi_metrics_new/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = EnsoSstDiversity_2
     ComputeMetric: oneVarmetric = ACCESS1-0_r1i1p1
          EnsoSstDiversity
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 27)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 27)
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 65)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 65)
               after PreProcessTS
                    axes list 1: (sst ts) ['time']
                    time bounds 1: (sst ts) ('1850-3-16 12:0:0.0', '2005-10-16 12:0:0.0')
                    shape 1: (sst ts) (1868,)
                    axes list 2: (sst map) ['time', 'lat', 'lon']
                    time bounds 2: (sst map) ('1850-3-16 12:0:0.0', '2005-10-16 12:0:0.0')
                    shape 2: (sst map) (1868, 9, 65)
               after DetectEvents
                    nina year 1: nbr(36): [1861, 1865, 1879, 1882, 1885, 1888, 1889, 1890, 1892, 1894, 1895, 1899, 1900, 1906, 1910, 1918, 1924, 1926, 1928, 1931, 1932, 1935, 1947, 1951, 1953, 1963, 1966, 1969, 1972, 1974, 1976, 1984, 1985, 1991, 1995, 2002]
                    nino year 1: nbr(32): [1853, 1859, 1860, 1862, 1863, 1866, 1868, 1878, 1891, 1902, 1908, 1909, 1914, 1916, 1919, 1922, 1923, 1925, 1941, 1942, 1946, 1954, 1955, 1960, 1968, 1971, 1975, 1977, 1987, 1997, 1999, 2004]
               after SeasonalMean
                    axes list 1: (sst) ['time', 'lat', 'lon']
                    shape 1: (sst) (155, 9, 65)
               after TwoVarRegrid
                    axes list 1: (sst) ['time', 'latitude', 'longitude']
                    shape 1: (sst) (155, 10, 120)
               EnsoUvcdatToolsLib AverageMeridional
               after AverageMeridional
                    axes list 1: (sst) ['time', 'longitude']
                    shape 1: (sst) (155, 120)
               after FindXYMinMaxInTs
                    longitude of the minimum SSTA: [243.5 236.5 223.5 239.5 244.5 237.5 170.5 237.5 242.5 245.5 242.5 246.5
 246.5 241.5 248.5 258.5 217.5 245.5 225.5 246.5 218.5 248.5 242.5 246.5
 243.5 243.5 247.5 250.5 242.5 241.5 229.5 245.5 238.5 229.5 243.5 243.5]
               after FindXYMinMaxInTs
                    longitude of the maximum SSTA: [237.5 206.5 227.5 264.5 237.5 251.5 252.5 241.5 247.5 240.5 248.5 232.5
 221.5 207.5 248.5 248.5 246.5 247.5 243.5 239.5 267.5 246.5 239.5 246.5
 245.5 248.5 219.5 249.5 247.5 246.5 249.5 243.5]
          end of EnsoSstDiversity
               diagnostic (IQR) value: 10.0
               diagnostic (IQR) value_error: None
               diagnostic (MAD) value: 4.0
               diagnostic (MAD) value_error: None
     ComputeMetric: oneVarmetric = ERA-Interim
          EnsoSstDiversity
                    Files
                         file name 1: (temperature) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (temperature) (480, 13, 67)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/rhome/soo/anaconda3/envs/pcmdi_metrics_new/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = EnsoSstSkew
     ComputeMetric: oneVarmetric = ACCESS1-0_r1i1p1
          EnsoSstSkew
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 27)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 27)
               after PreProcessTS
                    axes list 1: (sst) ['time']
                    time bounds 1: (sst) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                    shape 1: (sst) (1872,)
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 25, 89)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (25, 89)
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 65)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 65)
          after PreProcessTS
               axes list 1: (sst1) ['time', 'lat', 'lon']
               time bounds 1: (sst1) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
               shape 1: (sst1) (1872, 25, 89)
               axes list 2: (sst2) ['time', 'lat', 'lon']
               time bounds 2: (sst2) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
               shape 2: (sst2) (1872, 9, 65)
               EnsoUvcdatToolsLib AverageMeridional
          end of EnsoSstSkew
               metric value: -0.3339196537261717
               metric value_error: -0.02673496883520293
     ComputeMetric: oneVarmetric = ERA-Interim
          EnsoSstSkew
                    Files
                         file name 1: (temperature) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (temperature) (480, 13, 67)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/rhome/soo/anaconda3/envs/pcmdi_metrics_new/lib/python3.10/site-packages/share/cdutil/navy_land.nc
file_name: demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
list_files: demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
netcdf_name: cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1
json_name: cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1
dict_metric:
{
    "ACCESS1-0": {
        "r1i1p1": {
            "metadata": {
                "description_of_the_collection": "Describe which science question this collection is about",
                "metrics": {},
                "name": "Metrics Collection for ENSO performance"
            },
            "value": {}
        }
    }
}
INFO::2025-06-13 15:48::pcmdi_metrics:: Results saved to a json file: /rhome/soo/pcmdi_metrics/pcmdi_metrics/doc/jupyter/Demo/demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1.json
2025-06-13 15:48:56,109 [INFO]: base.py(write:429) >> Results saved to a json file: /rhome/soo/pcmdi_metrics/pcmdi_metrics/doc/jupyter/Demo/demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1.json
2025-06-13 15:48:56,109 [INFO]: base.py(write:429) >> Results saved to a json file: /rhome/soo/pcmdi_metrics/pcmdi_metrics/doc/jupyter/Demo/demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1.json
INFO::2025-06-13 15:49::pcmdi_metrics:: Results saved to a json file: /rhome/soo/pcmdi_metrics/pcmdi_metrics/doc/jupyter/Demo/demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_diveDown.json
2025-06-13 15:49:03,969 [INFO]: base.py(write:429) >> Results saved to a json file: /rhome/soo/pcmdi_metrics/pcmdi_metrics/doc/jupyter/Demo/demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_diveDown.json
2025-06-13 15:49:03,969 [INFO]: base.py(write:429) >> Results saved to a json file: /rhome/soo/pcmdi_metrics/pcmdi_metrics/doc/jupyter/Demo/demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_diveDown.json
figure plotting start
metrics: ['EnsoAmpl', 'EnsoDuration', 'EnsoSeasonality', 'EnsoSstDiversity_2', 'EnsoSstSkew']
filename_js: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1.json
met: EnsoAmpl
filename_nc: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_EnsoAmpl.nc
failed for  ACCESS1-0 r1i1p1
'EnsoAmpl'
PMPdriver: model loop end
Process end: Fri Jun 13 15:49:03 2025

Anything else we need to know?

No response

Environment

[db9608]

@lee1043 please take this a look

[lee1043]

@yyplanton Hi, just checking in, my colleague got this issue which I was not able to reproduce. I just wanted to check with you if you see anything obvious that I missed.

[AntoniaJost]

Hello, I would like to join this issue as I am facing a very similar, yet slightly different error when running the Demo_6_ENSO.ipynb notebook as well as enso_driver.py -p basic_enso_param.py --debug with different data input than the demo data.

What happened?

Running enso_driver.py -p basic_enso_param.py does not produces the expected .nc outputs.
In particular:

file not found: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_BiasPrLatRmse.nc
file not found: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_BiasPrLonRmse.nc
file not found: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_BiasSstLonRmse.nc
file not found: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_BiasTauxLonRmse.nc
filename_nc: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_EnsoAmpl.nc
failed for  ACCESS1-0 r1i1p1
'EnsoAmpl'

What did you expect to happen? Are there any possible answers you came across?

In the first place, I expected no error at all. In the second place, I expected to only receive the error from the demo notebook:

figure plotting start
metrics: ['BiasPrLatRmse', 'BiasPrLonRmse', 'BiasSstLonRmse', 'BiasTauxLonRmse', 'EnsoAmpl', 'EnsoDuration', 'EnsoSeasonality', 'EnsoSstDiversity_2', 'EnsoSstLonRmse', 'EnsoSstSkew', 'EnsoSstTsRmse', 'SeasonalPrLatRmse', 'SeasonalPrLonRmse', 'SeasonalSstLonRmse', 'SeasonalTauxLonRmse']
filename_js: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1.json
met: BiasPrLatRmse
filename_nc: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_BiasPrLatRmse.nc
failed for  ACCESS1-0 r1i1p1
'BiasPrLatRmse'

Minimal Complete Verifiable Example (MVCE)

enso_driver.py -p basic_enso_param.py --debug

Relevant log output

/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/cdutil/create_landsea_mask.py:4: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
  import pkg_resources
mip: cmip5
exp: historical
models: ['ACCESS1-0']
realization:  r1i1p1
mc_name: ENSO_perf
outdir: demo_output/basicTestEnso/ENSO_perf
netcdf_path: demo_output/basicTestEnso/ENSO_perf
debug: True
obs_cmor: True
obs_cmor_path: demo_data/obs4MIPs_PCMDI_monthly
egg_pth: /home/a/a270220/.conda/envs/pcmdi/share/pmp
output directory for graphics:demo_output/basicTestEnso/ENSO_perf
output directory for diagnostic_results:demo_output/basicTestEnso/ENSO_perf
output directory for metrics_results:demo_output/basicTestEnso/ENSO_perf
list_variables: ['pr', 'sst', 'taux']
list_obs: ['AVISO-1-0', 'ERA-INT', 'GPCP-2-3', 'HadISST-1-1']
file_name: None
file_name: None
file_name: None
file_name: demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/pr/gn/v20210727/pr_mon_ERA-INT_PCMDI_gn_197901-201903.nc
list_files: demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/pr/gn/v20210727/pr_mon_ERA-INT_PCMDI_gn_197901-201903.nc
file_name: demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
list_files: demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
file_name: demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/tauu/gn/v20210727/tauu_mon_ERA-INT_PCMDI_gn_197901-201903.nc
list_files: demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/tauu/gn/v20210727/tauu_mon_ERA-INT_PCMDI_gn_197901-201903.nc
file_name: demo_data/obs4MIPs_PCMDI_monthly/NOAA-NCEI/GPCP-2-3/mon/pr/gn/v20210727/pr_mon_GPCP-2-3_PCMDI_gn_197901-201907.nc
list_files: demo_data/obs4MIPs_PCMDI_monthly/NOAA-NCEI/GPCP-2-3/mon/pr/gn/v20210727/pr_mon_GPCP-2-3_PCMDI_gn_197901-201907.nc
file_name: None
file_name: None
file_name: None
file_name: demo_data/obs4MIPs_PCMDI_monthly/MOHC/HadISST-1-1/mon/ts/gn/v20210727/ts_mon_HadISST-1-1_PCMDI_gn_187001-201907.nc
list_files: demo_data/obs4MIPs_PCMDI_monthly/MOHC/HadISST-1-1/mon/ts/gn/v20210727/ts_mon_HadISST-1-1_PCMDI_gn_187001-201907.nc
file_name: None
PMPdriver: dict_obs readin end
Process start:Fri Nov 14 12:49:55 2025
models: ['ACCESS1-0']
 ----- model:  ACCESS1-0  ---------------------
PMPdriver: var loop start for model  ACCESS1-0
modpath: demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
model_path_list: ['demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc']
realization: r1i1p1
runs_list: ['r1i1p1']
 --- run:  r1i1p1  ---
list_variables: ['pr', 'sst', 'taux']
 --- var:  pr  ---
var_in_file: pr
var, areacell_in_file, realm: pr areacella atmos
path:  demo_data/CMIP5_demo_data/pr_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
file_list:  ['demo_data/CMIP5_demo_data/pr_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc']
path:  demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc
file_list:  ['demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc']
path:  demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc
file_list:  ['demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc']
PMPdriver: var loop end
 --- var:  sst  ---
var_in_file: ts
var, areacell_in_file, realm: sst areacella atmos
path:  demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
file_list:  ['demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc']
path:  demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc
file_list:  ['demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc']
path:  demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc
file_list:  ['demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc']
PMPdriver: var loop end
 --- var:  taux  ---
var_in_file: tauu
var, areacell_in_file, realm: taux areacella atmos
path:  demo_data/CMIP5_demo_data/tauu_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
file_list:  ['demo_data/CMIP5_demo_data/tauu_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc']
path:  demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc
file_list:  ['demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc']
path:  demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc
file_list:  ['demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc']
PMPdriver: var loop end
dictDatasets:
{
    "model": {
        "ACCESS1-0_r1i1p1": {
            "pr": {
                "areaname": "areacella",
                "landmaskname": "sftlf",
                "path + filename": "demo_data/CMIP5_demo_data/pr_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc",
                "path + filename_area": "demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc",
                "path + filename_landmask": "demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc",
                "varname": "pr"
            },
            "sst": {
                "areaname": "areacella",
                "landmaskname": "sftlf",
                "path + filename": "demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc",
                "path + filename_area": "demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc",
                "path + filename_landmask": "demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc",
                "varname": "ts"
            },
            "taux": {
                "areaname": "areacella",
                "landmaskname": "sftlf",
                "path + filename": "demo_data/CMIP5_demo_data/tauu_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc",
                "path + filename_area": "demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc",
                "path + filename_landmask": "demo_data/CMIP5_demo_data/sftlf_fx_ACCESS1-0_amip_r0i0p0.nc",
                "varname": "tauu"
            }
        }
    },
    "observations": {
        "ERA-Interim": {
            "pr": {
                "areaname": "areacella",
                "landmaskname": "sftlf",
                "path + filename": "demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/pr/gn/v20210727/pr_mon_ERA-INT_PCMDI_gn_197901-201903.nc",
                "path + filename_area": null,
                "path + filename_landmask": null,
                "varname": "pr"
            },
            "sst": {
                "areaname": "areacella",
                "landmaskname": "sftlf",
                "path + filename": "demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc",
                "path + filename_area": null,
                "path + filename_landmask": null,
                "varname": "ts"
            },
            "taux": {
                "areaname": "areacella",
                "landmaskname": "sftlf",
                "path + filename": "demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/tauu/gn/v20210727/tauu_mon_ERA-INT_PCMDI_gn_197901-201903.nc",
                "path + filename_area": null,
                "path + filename_landmask": null,
                "varname": "tauu"
            }
        },
        "GPCPv2.3": {
            "pr": {
                "areaname": "areacella",
                "landmaskname": "sftlf",
                "path + filename": "demo_data/obs4MIPs_PCMDI_monthly/NOAA-NCEI/GPCP-2-3/mon/pr/gn/v20210727/pr_mon_GPCP-2-3_PCMDI_gn_197901-201907.nc",
                "path + filename_area": null,
                "path + filename_landmask": null,
                "varname": "pr"
            }
        },
        "HadISST": {
            "sst": {
                "areaname": "areacella",
                "landmaskname": "sftlf",
                "path + filename": "demo_data/obs4MIPs_PCMDI_monthly/MOHC/HadISST-1-1/mon/ts/gn/v20210727/ts_mon_HadISST-1-1_PCMDI_gn_187001-201907.nc",
                "path + filename_area": null,
                "path + filename_landmask": null,
                "varname": "ts"
            }
        }
    }
}

### Compute the metric collection ###

     ComputeCollection: metric = BiasPrLatRmse
     ComputeMetric: oneVarRMSmetric, BiasPrLatRmse = ACCESS1-0_r1i1p1 and ERA-Interim
          BiasPrLatRmse
                    Files
                         file name 1: (precipitations) demo_data/CMIP5_demo_data/pr_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (precipitations) pr
                    after ReadSelectRegionCheckUnits
                         axes list 1: (precipitations) ['time', 'lat', 'lon']
                         time bounds 1: (precipitations) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (precipitations) (1872, 25, 33)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (precipitations) ['lat', 'lon']
                         shape 1: (precipitations) (25, 33)
                    Files
                         file name 1: (precipitations) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/pr/gn/v20210727/pr_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (precipitations) pr
                    after ReadSelectRegionCheckUnits
                         axes list 1: (precipitations) ['time', 'lat', 'lon']
                         time bounds 1: (precipitations) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (precipitations) (480, 41, 81)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = BiasPrLonRmse
     ComputeMetric: oneVarRMSmetric, BiasPrLonRmse = ACCESS1-0_r1i1p1 and ERA-Interim
          BiasPrLonRmse
                    Files
                         file name 1: (precipitations) demo_data/CMIP5_demo_data/pr_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (precipitations) pr
                    after ReadSelectRegionCheckUnits
                         axes list 1: (precipitations) ['time', 'lat', 'lon']
                         time bounds 1: (precipitations) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (precipitations) (1872, 9, 65)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (precipitations) ['lat', 'lon']
                         shape 1: (precipitations) (9, 65)
                    Files
                         file name 1: (precipitations) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/pr/gn/v20210727/pr_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (precipitations) pr
                    after ReadSelectRegionCheckUnits
                         axes list 1: (precipitations) ['time', 'lat', 'lon']
                         time bounds 1: (precipitations) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (precipitations) (480, 13, 161)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = BiasSstLonRmse
     ComputeMetric: oneVarRMSmetric, BiasSstLonRmse = ACCESS1-0_r1i1p1 and ERA-Interim
          BiasSstLonRmse
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 65)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 65)
                    Files
                         file name 1: (temperature) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (temperature) (480, 13, 161)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = BiasTauxLonRmse
     ComputeMetric: oneVarRMSmetric, BiasTauxLonRmse = ACCESS1-0_r1i1p1 and ERA-Interim
          BiasTauxLonRmse
                    Files
                         file name 1: (wind stress) demo_data/CMIP5_demo_data/tauu_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (wind stress) tauu
               EnsoUvcdatToolsLib AverageHorizontal
                    after ReadSelectRegionCheckUnits
                         axes list 1: (wind stress) ['time', 'lat', 'lon']
                         time bounds 1: (wind stress) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (wind stress) (1872, 9, 64)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = EnsoAmpl
     ComputeMetric: oneVarmetric = ACCESS1-0_r1i1p1
          EnsoAmpl
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 27)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 27)
               after PreProcessTS
                    axes list 1: (sst) ['time']
                    time bounds 1: (sst) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                    shape 1: (sst) (1872,)
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 25, 89)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (25, 89)
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 65)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 65)
          after PreProcessTS
               axes list 1: (sst1) ['time', 'lat', 'lon']
               time bounds 1: (sst1) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
               shape 1: (sst1) (1872, 25, 89)
               axes list 2: (sst2) ['time', 'lat', 'lon']
               time bounds 2: (sst2) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
               shape 2: (sst2) (1872, 9, 65)
               EnsoUvcdatToolsLib AverageMeridional
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/cdms2/dataset.py:2179: Warning: Files are written with compression and no shuffling
You can query different values of compression using the functions:
cdms2.getNetcdfShuffleFlag() returning 1 if shuffling is enabled, 0 otherwise
cdms2.getNetcdfDeflateFlag() returning 1 if deflate is used, 0 otherwise
cdms2.getNetcdfDeflateLevelFlag() returning the level of compression for the deflate method

If you want to turn that off or set different values of compression use the functions:
value = 0
cdms2.setNetcdfShuffleFlag(value) ## where value is either 0 or 1
cdms2.setNetcdfDeflateFlag(value) ## where value is either 0 or 1
cdms2.setNetcdfDeflateLevelFlag(value) ## where value is a integer between 0 and 9 included

To produce NetCDF3 Classic files use:
cdms2.useNetCDF3()
To Force NetCDF4 output with classic format and no compressing use:
cdms2.setNetcdf4Flag(1)
NetCDF4 file with no shuffling or deflate and noclassic will be open for parallel i/o
  warnings.warn("Files are written with compression and no shuffling\n" +
          end of EnsoAmpl
               metric value: 0.6630260736952586
               metric value_error: 0.0530845705527287
     ComputeMetric: oneVarmetric = ERA-Interim
          EnsoAmpl
                    Files
                         file name 1: (temperature) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (temperature) (480, 13, 67)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = EnsoDuration
     ComputeMetric: oneVarmetric = ACCESS1-0_r1i1p1
          EnsoDuration
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 27)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 27)
               after PreProcessTS
                    axes list 1: ['time']
                    time bounds 1: ('1850-3-16 12:0:0.0', '2005-10-16 12:0:0.0')
                    shape 1: (1868,)
               after SeasonalMean
                    axes list 1: ['time']
                    time bounds 1: ('1850-12-16 12:0:0.0', '2004-12-16 12:0:0.0')
                    shape 1: (155,)
               after PreProcessTS
                    axes list 1: ['time']
                    time bounds 1: ('1850-3-16 12:0:0.0', '2005-10-16 12:0:0.0')
                    shape 1: (1868,)
               after LinearRegressionTsAgainstTs
                    axes list 1: ['months']
                    shape 1: (72,)
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/cdms2/MV2.py:318: Warning: arguments order for compress function has changed
it is now: MV2.copmress(array,condition), if your code seems to not react or act wrong to a call to compress, please check this
  warnings.warn(
               after DetectEvents
                    nina year 1: nbr(36): [1861, 1865, 1879, 1882, 1885, 1888, 1889, 1890, 1892, 1894, 1895, 1899, 1900, 1906, 1910, 1918, 1924, 1926, 1928, 1931, 1932, 1935, 1947, 1951, 1953, 1963, 1966, 1969, 1972, 1974, 1976, 1984, 1985, 1991, 1995, 2002]
                    nino year 1: nbr(32): [1853, 1859, 1860, 1862, 1863, 1866, 1868, 1878, 1891, 1902, 1908, 1909, 1914, 1916, 1919, 1922, 1923, 1925, 1941, 1942, 1946, 1954, 1955, 1960, 1968, 1971, 1975, 1977, 1987, 1997, 1999, 2004]
               after DurationAllEvent
                    nina year 1: mean(12.944444444444445): [ 9 18 16 17 14 34 34 34  8 20 20  8  7  8 14  6  7 10  6 14  5  9  5  7
  7 13 17 11 10  7  7 19 19  9  6 11]
                    nino year 1: mean(14.1875): [15 20 20 19 19  8 10 16  6 11 20 20 11 12  7 20 20 11  8  8  8 24 24  5
  9 13  9 17 25  9 15 15]
               before SaveNetcdf
                    variable name 1: sst_against_sst_ts__ACCESS1-0_r1i1p1
                    axes list 1: ['months']
                    shape 1: (72,)
                    variable name 2: Nina_duration__ACCESS1-0_r1i1p1
                    axes list 2: ['years']
                    shape 2: (36,)
                    nina year 2: 216 [1861, 1865, 1879, 1882, 1885, 1888, 1889, 1890, 1892, 1894, 1895, 1899, 1900, 1906, 1910, 1918, 1924, 1926, 1928, 1931, 1932, 1935, 1947, 1951, 1953, 1963, 1966, 1969, 1972, 1974, 1976, 1984, 1985, 1991, 1995, 2002]
                    variable name 3: Nino_duration__ACCESS1-0_r1i1p1
                    axes list 3: ['years']
                    shape 3: (32,)
                    nino year 3: 192 [1861, 1865, 1879, 1882, 1885, 1888, 1889, 1890, 1892, 1894, 1895, 1899, 1900, 1906, 1910, 1918, 1924, 1926, 1928, 1931, 1932, 1935, 1947, 1951, 1953, 1963, 1966, 1969, 1972, 1974, 1976, 1984, 1985, 1991, 1995, 2002]
     ComputeMetric: oneVarmetric = ERA-Interim
          EnsoDuration
                    Files
                         file name 1: (temperature) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (temperature) (480, 13, 67)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = EnsoSeasonality
     ComputeMetric: oneVarmetric = ACCESS1-0_r1i1p1
          EnsoSeasonality
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 27)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 27)
               after PreProcessTS
                    axes list 1: (sst) ['time']
                    time bounds 1: (sst) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                    shape 1: (sst) (1872,)
               after SeasonalMean
                    axes list 1: (sst_NDJ) ['time']
                    shape 1: (sst_NDJ) (155,)
                    axes list 2: (sst_NDJ) ['time']
                    shape 2: (sst_NDJ) (156,)
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 25, 89)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (25, 89)
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 65)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 65)
          after PreProcessTS: netcdf
               axes list 1: (sst1) ['time', 'lat', 'lon']
               time bounds 1: (sst1) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
               shape 1: (sst1) (1872, 25, 89)
               axes list 2: (sst2) ['time', 'lat', 'lon']
               time bounds 2: (sst2) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
               shape 2: (sst2) (1872, 9, 65)
               axes list 3: (sst3) ['time', 'lat', 'lon']
               time bounds 3: (sst3) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
               shape 3: (sst3) (1872, 9, 65)
               after SeasonalMean: netcdf
                    axes list 1: (sst1_NDJ) ['time', 'lat', 'lon']
                    shape 1: (sst1_NDJ) (155, 25, 89)
                    axes list 2: (sst1_MAM) ['time', 'lat', 'lon']
                    shape 2: (sst1_MAM) (156, 25, 89)
                    axes list 3: (sst3_NDJ) ['time', 'lat', 'lon']
                    shape 3: (sst3_NDJ) (155, 9, 65)
                    axes list 4: (sst3_MAM) ['time', 'lat', 'lon']
                    shape 4: (sst3_MAM) (156, 9, 65)
               EnsoUvcdatToolsLib AverageMeridional
               EnsoUvcdatToolsLib AverageMeridional
               EnsoUvcdatToolsLib AverageMeridional
          end of EnsoSeasonality
               metric value: 1.6580607585263336
               metric value_error: 0.2659297490540511
     ComputeMetric: oneVarmetric = ERA-Interim
          EnsoSeasonality
                    Files
                         file name 1: (temperature) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (temperature) (480, 13, 67)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = EnsoSstDiversity_2
     ComputeMetric: oneVarmetric = ACCESS1-0_r1i1p1
          EnsoSstDiversity
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 27)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 27)
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 65)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 65)
               after PreProcessTS
                    axes list 1: (sst ts) ['time']
                    time bounds 1: (sst ts) ('1850-3-16 12:0:0.0', '2005-10-16 12:0:0.0')
                    shape 1: (sst ts) (1868,)
                    axes list 2: (sst map) ['time', 'lat', 'lon']
                    time bounds 2: (sst map) ('1850-3-16 12:0:0.0', '2005-10-16 12:0:0.0')
                    shape 2: (sst map) (1868, 9, 65)
               after DetectEvents
                    nina year 1: nbr(36): [1861, 1865, 1879, 1882, 1885, 1888, 1889, 1890, 1892, 1894, 1895, 1899, 1900, 1906, 1910, 1918, 1924, 1926, 1928, 1931, 1932, 1935, 1947, 1951, 1953, 1963, 1966, 1969, 1972, 1974, 1976, 1984, 1985, 1991, 1995, 2002]
                    nino year 1: nbr(32): [1853, 1859, 1860, 1862, 1863, 1866, 1868, 1878, 1891, 1902, 1908, 1909, 1914, 1916, 1919, 1922, 1923, 1925, 1941, 1942, 1946, 1954, 1955, 1960, 1968, 1971, 1975, 1977, 1987, 1997, 1999, 2004]
               after SeasonalMean
                    axes list 1: (sst) ['time', 'lat', 'lon']
                    shape 1: (sst) (155, 9, 65)
               after TwoVarRegrid
                    axes list 1: (sst) ['time', 'latitude', 'longitude']
                    shape 1: (sst) (155, 10, 120)
               EnsoUvcdatToolsLib AverageMeridional
               after AverageMeridional
                    axes list 1: (sst) ['time', 'longitude']
                    shape 1: (sst) (155, 120)
               after FindXYMinMaxInTs
                    longitude of the minimum SSTA: [243.5 236.5 223.5 239.5 244.5 237.5 170.5 237.5 242.5 245.5 242.5 246.5
 246.5 241.5 248.5 258.5 217.5 245.5 225.5 246.5 218.5 248.5 242.5 246.5
 243.5 243.5 247.5 250.5 242.5 241.5 229.5 245.5 238.5 229.5 243.5 243.5]
               after FindXYMinMaxInTs
                    longitude of the maximum SSTA: [237.5 206.5 227.5 264.5 237.5 251.5 252.5 241.5 247.5 240.5 248.5 232.5
 221.5 207.5 248.5 248.5 246.5 247.5 243.5 239.5 267.5 246.5 239.5 246.5
 245.5 248.5 219.5 249.5 247.5 246.5 249.5 243.5]
          end of EnsoSstDiversity
               diagnostic (IQR) value: 10.0
               diagnostic (IQR) value_error: None
               diagnostic (MAD) value: 4.0
               diagnostic (MAD) value_error: None
     ComputeMetric: oneVarmetric = ERA-Interim
          EnsoSstDiversity
                    Files
                         file name 1: (temperature) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (temperature) (480, 13, 67)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = EnsoSstLonRmse
     ComputeMetric: oneVarRMSmetric, EnsoSstLonRmse = ACCESS1-0_r1i1p1 and ERA-Interim
          EnsoSstLonRmse
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 27)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 27)
                    Files
                         file name 1: (temperature) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (temperature) (480, 13, 67)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = EnsoSstSkew
     ComputeMetric: oneVarmetric = ACCESS1-0_r1i1p1
          EnsoSstSkew
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 27)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 27)
               after PreProcessTS
                    axes list 1: (sst) ['time']
                    time bounds 1: (sst) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                    shape 1: (sst) (1872,)
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 25, 89)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (25, 89)
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 65)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 65)
          after PreProcessTS
               axes list 1: (sst1) ['time', 'lat', 'lon']
               time bounds 1: (sst1) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
               shape 1: (sst1) (1872, 25, 89)
               axes list 2: (sst2) ['time', 'lat', 'lon']
               time bounds 2: (sst2) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
               shape 2: (sst2) (1872, 9, 65)
               EnsoUvcdatToolsLib AverageMeridional
          end of EnsoSstSkew
               metric value: -0.3339196537261717
               metric value_error: -0.02673496883520293
     ComputeMetric: oneVarmetric = ERA-Interim
          EnsoSstSkew
                    Files
                         file name 1: (temperature) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (temperature) (480, 13, 67)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = EnsoSstTsRmse
     ComputeMetric: oneVarRMSmetric, EnsoSstTsRmse = ACCESS1-0_r1i1p1 and ERA-Interim
          EnsoSstTsRmse
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 27)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 27)
                    Files
                         file name 1: (temperature) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (temperature) (480, 13, 67)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = SeasonalPrLatRmse
     ComputeMetric: oneVarRMSmetric, SeasonalPrLatRmse = ACCESS1-0_r1i1p1 and ERA-Interim
          SeasonalPrLatRmse
                    Files
                         file name 1: (precipitations) demo_data/CMIP5_demo_data/pr_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (precipitations) pr
                    after ReadSelectRegionCheckUnits
                         axes list 1: (precipitations) ['time', 'lat', 'lon']
                         time bounds 1: (precipitations) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (precipitations) (1872, 25, 33)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (precipitations) ['lat', 'lon']
                         shape 1: (precipitations) (25, 33)
                    Files
                         file name 1: (precipitations) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/pr/gn/v20210727/pr_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (precipitations) pr
                    after ReadSelectRegionCheckUnits
                         axes list 1: (precipitations) ['time', 'lat', 'lon']
                         time bounds 1: (precipitations) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (precipitations) (480, 41, 81)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = SeasonalPrLonRmse
     ComputeMetric: oneVarRMSmetric, SeasonalPrLonRmse = ACCESS1-0_r1i1p1 and ERA-Interim
          SeasonalPrLonRmse
                    Files
                         file name 1: (precipitations) demo_data/CMIP5_demo_data/pr_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (precipitations) pr
                    after ReadSelectRegionCheckUnits
                         axes list 1: (precipitations) ['time', 'lat', 'lon']
                         time bounds 1: (precipitations) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (precipitations) (1872, 9, 65)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (precipitations) ['lat', 'lon']
                         shape 1: (precipitations) (9, 65)
                    Files
                         file name 1: (precipitations) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/pr/gn/v20210727/pr_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (precipitations) pr
                    after ReadSelectRegionCheckUnits
                         axes list 1: (precipitations) ['time', 'lat', 'lon']
                         time bounds 1: (precipitations) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (precipitations) (480, 13, 161)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = SeasonalSstLonRmse
     ComputeMetric: oneVarRMSmetric, SeasonalSstLonRmse = ACCESS1-0_r1i1p1 and ERA-Interim
          SeasonalSstLonRmse
                    Files
                         file name 1: (temperature) demo_data/CMIP5_demo_data/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (temperature) (1872, 9, 65)
                    after ReadAreaSelectRegion
                         areacell is None 
                    after ReadLandmaskSelectRegion
                         axes list 1: (temperature) ['lat', 'lon']
                         shape 1: (temperature) (9, 65)
                    Files
                         file name 1: (temperature) demo_data/obs4MIPs_PCMDI_monthly/ECMWF/ERA-INT/mon/ts/gn/v20210727/ts_mon_ERA-INT_PCMDI_gn_197901-201903.nc
                         variable name 1: (temperature) ts
                    after ReadSelectRegionCheckUnits
                         axes list 1: (temperature) ['time', 'lat', 'lon']
                         time bounds 1: (temperature) ('1979-1-16 12:0:0.0', '2018-12-16 12:0:0.0')
                         shape 1: (temperature) (480, 13, 161)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
     ComputeCollection: metric = SeasonalTauxLonRmse
     ComputeMetric: oneVarRMSmetric, SeasonalTauxLonRmse = ACCESS1-0_r1i1p1 and ERA-Interim
          SeasonalTauxLonRmse
                    Files
                         file name 1: (wind stress) demo_data/CMIP5_demo_data/tauu_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
                         variable name 1: (wind stress) tauu
               EnsoUvcdatToolsLib AverageHorizontal
                    after ReadSelectRegionCheckUnits
                         axes list 1: (wind stress) ['time', 'lat', 'lon']
                         time bounds 1: (wind stress) ('1850-1-16 12:0:0.0', '2005-12-16 12:0:0.0')
                         shape 1: (wind stress) (1872, 9, 64)
                    after ReadAreaSelectRegion
                         areacell is None 
                         NOTE: Estimated landmask applied
/work/bk1450/a270220/envs/pcmdi/lib/python3.10/site-packages/share/cdutil/navy_land.nc
file_name: demo_data/CMIP5_demo_data/tauu_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
list_files: demo_data/CMIP5_demo_data/tauu_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc
netcdf_name: cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1
json_name: cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1
dict_metric:
{
    "ACCESS1-0": {
        "r1i1p1": {
            "metadata": {
                "description_of_the_collection": "Describe which science question this collection is about",
                "metrics": {},
                "name": "Metrics Collection for ENSO performance"
            },
            "value": {}
        }
    }
}
INFO::2025-11-14 12:52::pcmdi_metrics:: Results saved to a json file: /work/bk1450/a270220/repos/pcmdi/doc/jupyter/Demo/demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1.json
2025-11-14 12:52:41,353 [INFO]: base.py(write:344) >> Results saved to a json file: /work/bk1450/a270220/repos/pcmdi/doc/jupyter/Demo/demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1.json
2025-11-14 12:52:41,353 [INFO]: base.py(write:344) >> Results saved to a json file: /work/bk1450/a270220/repos/pcmdi/doc/jupyter/Demo/demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1.json
INFO::2025-11-14 12:52::pcmdi_metrics:: Results saved to a json file: /work/bk1450/a270220/repos/pcmdi/doc/jupyter/Demo/demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_diveDown.json
2025-11-14 12:52:54,675 [INFO]: base.py(write:344) >> Results saved to a json file: /work/bk1450/a270220/repos/pcmdi/doc/jupyter/Demo/demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_diveDown.json
2025-11-14 12:52:54,675 [INFO]: base.py(write:344) >> Results saved to a json file: /work/bk1450/a270220/repos/pcmdi/doc/jupyter/Demo/demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_diveDown.json
figure plotting start
metrics: ['BiasPrLatRmse', 'BiasPrLonRmse', 'BiasSstLonRmse', 'BiasTauxLonRmse', 'EnsoAmpl', 'EnsoDuration', 'EnsoSeasonality', 'EnsoSstDiversity_2', 'EnsoSstLonRmse', 'EnsoSstSkew', 'EnsoSstTsRmse', 'SeasonalPrLatRmse', 'SeasonalPrLonRmse', 'SeasonalSstLonRmse', 'SeasonalTauxLonRmse']
filename_js: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1.json
met: BiasPrLatRmse
filename_nc: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_BiasPrLatRmse.nc
file not found: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_BiasPrLatRmse.nc
met: BiasPrLonRmse
filename_nc: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_BiasPrLonRmse.nc
file not found: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_BiasPrLonRmse.nc
met: BiasSstLonRmse
filename_nc: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_BiasSstLonRmse.nc
file not found: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_BiasSstLonRmse.nc
met: BiasTauxLonRmse
filename_nc: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_BiasTauxLonRmse.nc
file not found: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_BiasTauxLonRmse.nc
met: EnsoAmpl
filename_nc: demo_output/basicTestEnso/ENSO_perf/cmip5_historical_ENSO_perf_basicTestEnso_ACCESS1-0_r1i1p1_EnsoAmpl.nc
failed for  ACCESS1-0 r1i1p1
'EnsoAmpl'
PMPdriver: model loop end
Process end: Fri Nov 14 12:52:54 2025

Anything else we need to know?

Same error also occurs when using different input data than the demo data.

Environment

# packages in environment at /work/bk1450/a270220/envs/pcmdi:
#
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                 conda_forge    conda-forge
_openmp_mutex             4.5                  4_kmp_llvm    conda-forge
affine                    2.4.0              pyhd8ed1ab_1    conda-forge
algopy                    0.7.2              pyhd8ed1ab_1    conda-forge
anyio                     4.10.0             pyhe01879c_0    conda-forge
aom                       3.9.1                hac33072_0    conda-forge
argon2-cffi               25.1.0             pyhd8ed1ab_0    conda-forge
argon2-cffi-bindings      25.1.0          py310h7c4b9e2_0    conda-forge
arrow                     1.3.0              pyhd8ed1ab_1    conda-forge
asttokens                 3.0.0              pyhd8ed1ab_1    conda-forge
async-lru                 2.0.5              pyh29332c3_0    conda-forge
attrs                     25.3.0             pyh71513ae_0    conda-forge
aws-c-auth                0.9.1                h48c9088_3    conda-forge
aws-c-cal                 0.9.2                he7b75e1_1    conda-forge
aws-c-common              0.12.4               hb03c661_0    conda-forge
aws-c-compression         0.3.1                h92c474e_6    conda-forge
aws-c-event-stream        0.5.6                h82d11aa_3    conda-forge
aws-c-http                0.10.4               h94feff3_3    conda-forge
aws-c-io                  0.22.0               h57f3b0d_1    conda-forge
aws-c-mqtt                0.13.3               h2b1cf8c_6    conda-forge
aws-c-s3                  0.8.6                h4e5ac4b_5    conda-forge
aws-c-sdkutils            0.2.4                h92c474e_1    conda-forge
aws-checksums             0.2.7                h92c474e_2    conda-forge
aws-crt-cpp               0.34.3               h60c762c_1    conda-forge
aws-sdk-cpp               1.11.606             h2d2fbd4_3    conda-forge
azure-core-cpp            1.16.0               h3a458e0_1    conda-forge
azure-identity-cpp        1.12.0               ha729027_0    conda-forge
azure-storage-blobs-cpp   12.14.0              hb1c9500_1    conda-forge
azure-storage-common-cpp  12.10.0              hebae86a_2    conda-forge
azure-storage-files-datalake-cpp 12.12.0              h8b27e44_3    conda-forge
babel                     2.17.0             pyhd8ed1ab_0    conda-forge
beautifulsoup4            4.13.5             pyha770c72_0    conda-forge
bleach                    6.2.0              pyh29332c3_4    conda-forge
bleach-with-css           6.2.0                h82add2a_4    conda-forge
blosc                     1.21.6               he440d0b_1    conda-forge
bokeh                     3.8.0              pyhd8ed1ab_0    conda-forge
boltons                   25.0.0             pyhd8ed1ab_0    conda-forge
bottleneck                1.6.0           py310hf779ad0_0    conda-forge
branca                    0.8.1              pyhd8ed1ab_0    conda-forge
brotli                    1.1.0                hb03c661_4    conda-forge
brotli-bin                1.1.0                hb03c661_4    conda-forge
brotli-python             1.1.0           py310hea6c23e_4    conda-forge
bzip2                     1.0.8                hda65f42_8    conda-forge
c-ares                    1.34.5               hb9d3cd8_0    conda-forge
ca-certificates           2025.10.5            hbd8a1cb_0    conda-forge
cached-property           1.5.2                hd8ed1ab_1    conda-forge
cached_property           1.5.2              pyha770c72_1    conda-forge
cartopy                   0.25.0          py310h0158d43_1    conda-forge
cdat_info                 8.2.1              pyhd8ed1ab_3    conda-forge
cdms2                     3.1.5           py310h4f3777b_25    conda-forge
cdp                       1.7.0              pyhd8ed1ab_2    conda-forge
cdtime                    3.1.4           py310h7a088e3_13    conda-forge
cdutil                    8.2.1              pyhd8ed1ab_5    conda-forge
certifi                   2025.10.5          pyhd8ed1ab_0    conda-forge
cf_xarray                 0.10.6             pyhd8ed1ab_0    conda-forge
cffi                      1.17.1          py310h34a4b09_1    conda-forge
cfgrib                    0.9.15.0           pyhd8ed1ab_0    conda-forge
cftime                    1.6.4           py310hf779ad0_2    conda-forge
charset-normalizer        3.4.3              pyhd8ed1ab_0    conda-forge
click                     8.3.0              pyh707e725_0    conda-forge
click-plugins             1.1.1.2            pyhd8ed1ab_0    conda-forge
cligj                     0.7.2              pyhd8ed1ab_2    conda-forge
cloudpickle               3.1.1              pyhd8ed1ab_0    conda-forge
cmocean                   4.0.3              pyhd8ed1ab_1    conda-forge
colorama                  0.4.6              pyhd8ed1ab_1    conda-forge
colorcet                  3.1.0              pyhd8ed1ab_1    conda-forge
colorspacious             1.1.2              pyhecae5ae_1    conda-forge
comm                      0.2.3              pyhe01879c_0    conda-forge
contourpy                 1.3.2           py310h3788b33_0    conda-forge
cpython                   3.10.18         py310hd8ed1ab_0    conda-forge
curl                      8.14.1               h332b0f4_0    conda-forge
cycler                    0.12.1             pyhd8ed1ab_1    conda-forge
cytoolz                   1.0.1           py310ha75aee5_0    conda-forge
dask                      2025.9.1           pyhcf101f3_0    conda-forge
dask-core                 2025.9.1           pyhcf101f3_0    conda-forge
dav1d                     1.2.1                hd590300_0    conda-forge
debugpy                   1.8.17          py310h25320af_0    conda-forge
decorator                 5.2.1              pyhd8ed1ab_0    conda-forge
defusedxml                0.7.1              pyhd8ed1ab_0    conda-forge
distarray                 2.12.2             pyh3866b66_5    conda-forge
distributed               2025.9.1           pyhcf101f3_0    conda-forge
eccodes                   2.42.0               h5f92351_0    conda-forge
enso_metrics              1.1.5           py310hff52083_0    conda-forge
entrypoints               0.4                pyhd8ed1ab_1    conda-forge
eofs                      2.0.0              pyhff2d567_0    conda-forge
esmf                      8.9.0           nompi_h884c69f_1    conda-forge
esmpy                     8.9.0              pyhc455866_0    conda-forge
exceptiongroup            1.3.0              pyhd8ed1ab_0    conda-forge
executing                 2.2.1              pyhd8ed1ab_0    conda-forge
filelock                  3.19.1             pyhd8ed1ab_0    conda-forge
findlibs                  0.1.2              pyhd8ed1ab_0    conda-forge
flexcache                 0.3                pyhd8ed1ab_1    conda-forge
flexparser                0.4                pyhd8ed1ab_1    conda-forge
folium                    0.20.0             pyhd8ed1ab_0    conda-forge
fonttools                 4.60.0          py310h3406613_0    conda-forge
fqdn                      1.5.1              pyhd8ed1ab_1    conda-forge
freeglut                  3.2.2                ha6d2627_3    conda-forge
freetype                  2.14.1               ha770c72_0    conda-forge
freexl                    2.0.0                h9dce30a_2    conda-forge
fsspec                    2025.9.0           pyhd8ed1ab_0    conda-forge
future                    1.0.0              pyhd8ed1ab_2    conda-forge
g2clib                    2.2.0                ha770c72_1    conda-forge
genutil                   8.2.1           py310h21aefe9_5    conda-forge
geopandas                 1.1.1              pyhd8ed1ab_0    conda-forge
geopandas-base            1.1.1              pyha770c72_0    conda-forge
geos                      3.13.0               h5888daf_0    conda-forge
geotiff                   1.7.4                h3551947_0    conda-forge
gflags                    2.2.2             h5888daf_1005    conda-forge
giflib                    5.2.2                hd590300_0    conda-forge
glog                      0.7.1                hbabe93e_0    conda-forge
gmp                       6.3.0                hac33072_2    conda-forge
gmpy2                     2.2.1           py310h63ebcad_1    conda-forge
h11                       0.16.0             pyhd8ed1ab_0    conda-forge
h2                        4.3.0              pyhcf101f3_0    conda-forge
h5netcdf                  1.6.4              pyhd8ed1ab_0    conda-forge
h5py                      3.14.0          nompi_py310h4aa865e_101    conda-forge
hdf4                      4.2.15               h2a13503_7    conda-forge
hdf5                      1.14.6          nompi_h6e4c0c1_103    conda-forge
hpack                     4.1.0              pyhd8ed1ab_0    conda-forge
httpcore                  1.0.9              pyh29332c3_0    conda-forge
httpx                     0.28.1             pyhd8ed1ab_0    conda-forge
hyperframe                6.1.0              pyhd8ed1ab_0    conda-forge
icu                       75.1                 he02047a_0    conda-forge
idna                      3.10               pyhd8ed1ab_1    conda-forge
importlib-metadata        8.7.0              pyhe01879c_1    conda-forge
iniconfig                 2.0.0              pyhd8ed1ab_1    conda-forge
ipykernel                 6.29.5             pyh3099207_0    conda-forge
ipython                   8.37.0             pyh8f84b5b_0    conda-forge
ipython_genutils          0.2.0              pyhd8ed1ab_2    conda-forge
isoduration               20.11.0            pyhd8ed1ab_1    conda-forge
jasper                    4.2.8                he3c4edf_0    conda-forge
jedi                      0.19.2             pyhd8ed1ab_1    conda-forge
jinja2                    3.1.6              pyhd8ed1ab_0    conda-forge
joblib                    1.5.2              pyhd8ed1ab_0    conda-forge
json-c                    0.18                 h6688a6e_0    conda-forge
json5                     0.12.1             pyhd8ed1ab_0    conda-forge
jsonpickle                4.1.1              pyhe01879c_0    conda-forge
jsonpointer               3.0.0           py310hff52083_2    conda-forge
jsonschema                4.25.1             pyhe01879c_0    conda-forge
jsonschema-specifications 2025.9.1           pyhcf101f3_0    conda-forge
jsonschema-with-format-nongpl 4.25.1               he01879c_0    conda-forge
jupyter-lsp               2.3.0              pyhcf101f3_0    conda-forge
jupyter_client            7.4.9              pyhd8ed1ab_0    conda-forge
jupyter_core              5.8.1              pyh31011fe_0    conda-forge
jupyter_events            0.12.0             pyh29332c3_0    conda-forge
jupyter_server            2.17.0             pyhcf101f3_0    conda-forge
jupyter_server_terminals  0.5.3              pyhd8ed1ab_1    conda-forge
jupyterlab                4.4.7              pyhd8ed1ab_0    conda-forge
jupyterlab_pygments       0.3.0              pyhd8ed1ab_2    conda-forge
jupyterlab_server         2.27.3             pyhd8ed1ab_1    conda-forge
keyutils                  1.6.3                hb9d3cd8_0    conda-forge
kiwisolver                1.4.9           py310haaf941d_1    conda-forge
krb5                      1.21.3               h659f571_0    conda-forge
lark                      1.2.2              pyhd8ed1ab_1    conda-forge
lazy-object-proxy         1.12.0          py310h7c4b9e2_0    conda-forge
lcms2                     2.17                 h717163a_0    conda-forge
ld_impl_linux-64          2.44                 h1423503_1    conda-forge
lerc                      4.0.0                h0aef613_1    conda-forge
libabseil                 20250512.1      cxx17_hba17884_0    conda-forge
libaec                    1.1.4                h3f801dc_0    conda-forge
libarchive                3.7.7                h75ea233_4    conda-forge
libarrow                  21.0.0           hac26942_5_cpu    conda-forge
libarrow-acero            21.0.0           h635bf11_5_cpu    conda-forge
libarrow-compute          21.0.0           h8c2c5c3_5_cpu    conda-forge
libarrow-dataset          21.0.0           h635bf11_5_cpu    conda-forge
libarrow-substrait        21.0.0           h3f74fd7_5_cpu    conda-forge
libavif16                 1.3.0                h6395336_2    conda-forge
libblas                   3.9.0           36_h4a7cf45_openblas    conda-forge
libbrotlicommon           1.1.0                hb03c661_4    conda-forge
libbrotlidec              1.1.0                hb03c661_4    conda-forge
libbrotlienc              1.1.0                hb03c661_4    conda-forge
libcblas                  3.9.0           36_h0358290_openblas    conda-forge
libcdms                   3.1.2              hacc84be_132    conda-forge
libcf                     1.0.3           py310h1588dd5_117    conda-forge
libcrc32c                 1.1.2                h9c3ff4c_0    conda-forge
libcurl                   8.14.1               h332b0f4_0    conda-forge
libde265                  1.0.15               h00ab1b0_0    conda-forge
libdeflate                1.23                 h86f0d12_0    conda-forge
libedit                   3.1.20250104    pl5321h7949ede_0    conda-forge
libev                     4.33                 hd590300_2    conda-forge
libevent                  2.1.12               hf998b51_1    conda-forge
libexpat                  2.7.1                hecca717_0    conda-forge
libffi                    3.4.6                h2dba641_1    conda-forge
libfreetype               2.14.1               ha770c72_0    conda-forge
libfreetype6              2.14.1               h73754d4_0    conda-forge
libgcc                    15.1.0               h767d61c_5    conda-forge
libgcc-ng                 15.1.0               h69a702a_5    conda-forge
libgdal-core              3.10.2               h3359108_0    conda-forge
libgfortran               15.1.0               h69a702a_5    conda-forge
libgfortran-ng            15.1.0               h69a702a_5    conda-forge
libgfortran5              15.1.0               hcea5267_5    conda-forge
libglu                    9.0.3                h5888daf_1    conda-forge
libglvnd                  1.7.0                ha4b6fd6_2    conda-forge
libgomp                   15.1.0               h767d61c_5    conda-forge
libgoogle-cloud           2.39.0               hdb79228_0    conda-forge
libgoogle-cloud-storage   2.39.0               hdbdcf42_0    conda-forge
libgrpc                   1.73.1               h1e535eb_0    conda-forge
libheif                   1.19.7          gpl_hc18d805_100    conda-forge
libiconv                  1.18                 h3b78370_2    conda-forge
libjpeg-turbo             3.1.0                hb9d3cd8_0    conda-forge
libkml                    1.3.0             hf539b9f_1021    conda-forge
liblapack                 3.9.0           36_h47877c9_openblas    conda-forge
liblzma                   5.8.1                hb9d3cd8_2    conda-forge
libnetcdf                 4.9.2           nompi_h21f7587_118    conda-forge
libnghttp2                1.67.0               had1ee68_0    conda-forge
libnsl                    2.0.1                hb9d3cd8_1    conda-forge
libopenblas               0.3.30          openmp_hd680484_2    conda-forge
libopengl                 1.7.0                ha4b6fd6_2    conda-forge
libopentelemetry-cpp      1.21.0               hb9b0907_1    conda-forge
libopentelemetry-cpp-headers 1.21.0               ha770c72_1    conda-forge
libparquet                21.0.0           h790f06f_5_cpu    conda-forge
libpng                    1.6.50               h421ea60_1    conda-forge
libprotobuf               6.31.1               h9ef548d_1    conda-forge
libre2-11                 2025.08.12           h7b12aa8_1    conda-forge
librttopo                 1.1.0               h97f6797_17    conda-forge
libsodium                 1.0.20               h4ab18f5_0    conda-forge
libspatialite             5.1.0               h1b4f908_12    conda-forge
libsqlite                 3.50.4               h0c1763c_0    conda-forge
libssh2                   1.11.1               hcf80075_0    conda-forge
libstdcxx                 15.1.0               h8f9b012_5    conda-forge
libstdcxx-ng              15.1.0               h4852527_5    conda-forge
libthrift                 0.22.0               h454ac66_1    conda-forge
libtiff                   4.7.0                hd9ff511_4    conda-forge
libtorch                  2.8.0           cpu_generic_h4151254_0    conda-forge
libudunits2               2.2.28               h40f5838_3    conda-forge
libutf8proc               2.11.0               hb04c3b8_0    conda-forge
libuuid                   2.41.1               he9a06e4_0    conda-forge
libuv                     1.51.0               hb03c661_1    conda-forge
libwebp-base              1.6.0                hd42ef1d_0    conda-forge
libxcb                    1.17.0               h8a09558_0    conda-forge
libxcrypt                 4.4.36               hd590300_1    conda-forge
libxml2                   2.13.8               h04c0eec_1    conda-forge
libzip                    1.11.2               h6991a6a_0    conda-forge
libzlib                   1.3.1                hb9d3cd8_2    conda-forge
llvm-openmp               21.1.2               h4922eb0_3    conda-forge
llvmlite                  0.44.0          py310h0070a79_2    conda-forge
locket                    1.0.0              pyhd8ed1ab_0    conda-forge
lz4                       4.4.4           py310h9a9cc1f_1    conda-forge
lz4-c                     1.10.0               h5888daf_1    conda-forge
lzo                       2.10              h280c20c_1002    conda-forge
mapclassify               2.8.1              pyhd8ed1ab_1    conda-forge
markupsafe                3.0.2           py310h89163eb_1    conda-forge
matplotlib-base           3.10.6          py310hfde16b3_1    conda-forge
matplotlib-inline         0.1.7              pyhd8ed1ab_1    conda-forge
minizip                   4.0.10               h05a5f5f_0    conda-forge
mistune                   3.1.4              pyhcf101f3_0    conda-forge
mpc                       1.3.1                h24ddda3_1    conda-forge
mpfr                      4.2.1                h90cbb55_3    conda-forge
mpmath                    1.3.0              pyhd8ed1ab_1    conda-forge
msgpack-python            1.1.1           py310h03d9f68_1    conda-forge
munkres                   1.1.4              pyhd8ed1ab_1    conda-forge
narwhals                  2.5.0              pyhcf101f3_0    conda-forge
nb_conda                  2.2.1              pyh707e725_7    conda-forge
nb_conda_kernels          2.5.1              pyh707e725_2    conda-forge
nbclassic                 1.3.3              pyhcf101f3_0    conda-forge
nbclient                  0.10.2             pyhd8ed1ab_0    conda-forge
nbconvert-core            7.16.6             pyh29332c3_0    conda-forge
nbformat                  5.10.4             pyhd8ed1ab_1    conda-forge
nc-time-axis              1.4.1              pyhd8ed1ab_1    conda-forge
nceplibs-g2c              2.2.0                hcdb72e9_1    conda-forge
ncurses                   6.5                  h2d0b736_3    conda-forge
nest-asyncio              1.6.0              pyhd8ed1ab_1    conda-forge
netcdf-fortran            4.6.2           nompi_h5aa5643_101    conda-forge
netcdf4                   1.7.2           nompi_py310hbf8a091_103    conda-forge
networkx                  3.4.2              pyh267e887_2    conda-forge
nlohmann_json             3.12.0               h54a6638_1    conda-forge
nomkl                     1.0                  h5ca1d4c_0    conda-forge
notebook                  6.5.7              pyha770c72_0    conda-forge
notebook-shim             0.2.4              pyhd8ed1ab_1    conda-forge
numba                     0.61.2          py310h8648a56_1    conda-forge
numdifftools              0.9.41             pyhd8ed1ab_1    conda-forge
numpy                     2.0.2           py310hd6e36ab_1    conda-forge
openblas                  0.3.30          openmp_hd77311e_2    conda-forge
openjpeg                  2.5.3                h55fea9a_1    conda-forge
openssl                   3.5.4                h26f9b46_0    conda-forge
optree                    0.17.0          py310h03d9f68_1    conda-forge
orc                       2.2.0                h1bc01a4_0    conda-forge
output_viewer             1.3.3              pyhd8ed1ab_2    conda-forge
overrides                 7.7.0              pyhd8ed1ab_1    conda-forge
packaging                 25.0               pyh29332c3_1    conda-forge
pandas                    2.3.2           py310h0158d43_0    conda-forge
pandocfilters             1.5.0              pyhd8ed1ab_0    conda-forge
parso                     0.8.5              pyhcf101f3_0    conda-forge
partd                     1.4.2              pyhd8ed1ab_0    conda-forge
patsy                     1.0.1              pyhd8ed1ab_1    conda-forge
pcmdi_metrics             3.9.2              pyhd8ed1ab_0    conda-forge
pcre2                     10.44                hc749103_2    conda-forge
pexpect                   4.9.0              pyhd8ed1ab_1    conda-forge
pickleshare               0.7.5           pyhd8ed1ab_1004    conda-forge
pillow                    11.3.0          py310h6557065_3    conda-forge
pint                      0.24.4             pyhe01879c_2    conda-forge
pip                       25.2               pyh8b19718_0    conda-forge
platformdirs              4.4.0              pyhcf101f3_0    conda-forge
pluggy                    1.6.0              pyhd8ed1ab_0    conda-forge
pooch                     1.8.2              pyhd8ed1ab_3    conda-forge
proj                      9.5.1                h0054346_0    conda-forge
prometheus-cpp            1.3.0                ha5d0236_0    conda-forge
prometheus_client         0.23.1             pyhd8ed1ab_0    conda-forge
prompt-toolkit            3.0.52             pyha770c72_0    conda-forge
psutil                    7.1.0           py310h7c4b9e2_0    conda-forge
pthread-stubs             0.4               hb9d3cd8_1002    conda-forge
ptyprocess                0.7.0              pyhd8ed1ab_1    conda-forge
pure_eval                 0.2.3              pyhd8ed1ab_1    conda-forge
pyarrow                   21.0.0          py310hff52083_0    conda-forge
pyarrow-core              21.0.0          py310h923f568_0_cpu    conda-forge
pybind11                  2.13.6             pyhc790b64_3    conda-forge
pybind11-abi              4                    hd8ed1ab_3    conda-forge
pybind11-global           2.13.6             pyh217bc35_3    conda-forge
pycparser                 2.22               pyh29332c3_1    conda-forge
pygments                  2.19.2             pyhd8ed1ab_0    conda-forge
pyogrio                   0.10.0          py310h0aed7a2_1    conda-forge
pyparsing                 3.2.5              pyhcf101f3_0    conda-forge
pyproj                    3.7.1           py310h2e9f774_0    conda-forge
pyshp                     3.0.1              pyhd8ed1ab_0    conda-forge
pysocks                   1.7.1              pyha55dd90_7    conda-forge
pytest                    8.4.2              pyhd8ed1ab_0    conda-forge
python                    3.10.18         hd6af730_0_cpython    conda-forge
python-dateutil           2.9.0.post0        pyhe01879c_2    conda-forge
python-eccodes            2.42.0          py310hf779ad0_0    conda-forge
python-fastjsonschema     2.21.2             pyhe01879c_0    conda-forge
python-json-logger        2.0.7              pyhd8ed1ab_0    conda-forge
python-tzdata             2025.2             pyhd8ed1ab_0    conda-forge
python_abi                3.10                    8_cp310    conda-forge
pytorch                   2.8.0           cpu_generic_py310_h4371f23_0    conda-forge
pytz                      2025.2             pyhd8ed1ab_0    conda-forge
pyyaml                    6.0.2           py310h89163eb_2    conda-forge
pyzmq                     27.1.0          py310h4f33d48_0    conda-forge
qhull                     2020.2               h434a139_5    conda-forge
rasterio                  1.4.3           py310hbf83865_0    conda-forge
rav1e                     0.7.1                h8fae777_3    conda-forge
re2                       2025.08.12           h5301d42_1    conda-forge
readline                  8.2                  h8c095d6_2    conda-forge
referencing               0.36.2             pyh29332c3_0    conda-forge
regionmask                0.13.0             pyhd8ed1ab_0    conda-forge
requests                  2.32.5             pyhd8ed1ab_0    conda-forge
rfc3339-validator         0.1.4              pyhd8ed1ab_1    conda-forge
rfc3986-validator         0.1.1              pyh9f0ad1d_0    conda-forge
rfc3987-syntax            1.1.0              pyhe01879c_1    conda-forge
rpds-py                   0.27.1          py310hd8f68c5_1    conda-forge
s2n                       1.5.26               h5ac9029_0    conda-forge
scikit-learn              1.7.2           py310h228f341_0    conda-forge
scipy                     1.15.2          py310h1d65ade_0    conda-forge
seaborn                   0.13.2               hd8ed1ab_3    conda-forge
seaborn-base              0.13.2             pyhd8ed1ab_3    conda-forge
send2trash                1.8.3              pyh0d859eb_1    conda-forge
setuptools                80.9.0             pyhff2d567_0    conda-forge
shapely                   2.0.6           py310had3dfd6_2    conda-forge
six                       1.17.0             pyhe01879c_1    conda-forge
sleef                     3.9.0                ha0421bc_0    conda-forge
snappy                    1.2.2                h03e3b7b_0    conda-forge
sniffio                   1.3.1              pyhd8ed1ab_1    conda-forge
snuggs                    1.4.7              pyhd8ed1ab_2    conda-forge
sortedcontainers          2.4.0              pyhd8ed1ab_1    conda-forge
soupsieve                 2.8                pyhd8ed1ab_0    conda-forge
sparse                    0.17.0             pyhcf101f3_0    conda-forge
sqlite                    3.50.4               hbc0de68_0    conda-forge
stack_data                0.6.3              pyhd8ed1ab_1    conda-forge
statsmodels               0.14.5          py310haaf2d95_0    conda-forge
svt-av1                   3.1.2                hecca717_0    conda-forge
sympy                     1.14.0           pyh2585a3b_105    conda-forge
tblib                     3.1.0              pyhd8ed1ab_0    conda-forge
terminado                 0.18.1             pyh0d859eb_0    conda-forge
threadpoolctl             3.6.0              pyhecae5ae_0    conda-forge
tinycss2                  1.4.0              pyhd8ed1ab_0    conda-forge
tk                        8.6.13          noxft_hd72426e_102    conda-forge
tomli                     2.2.1              pyhe01879c_2    conda-forge
toolz                     1.0.0              pyhd8ed1ab_1    conda-forge
tornado                   6.5.2           py310h7c4b9e2_1    conda-forge
traitlets                 5.14.3             pyhd8ed1ab_1    conda-forge
types-python-dateutil     2.9.0.20250822     pyhd8ed1ab_0    conda-forge
typing-extensions         4.15.0               h396c80c_0    conda-forge
typing_extensions         4.15.0             pyhcf101f3_0    conda-forge
typing_utils              0.1.0              pyhd8ed1ab_1    conda-forge
tzdata                    2025b                h78e105d_0    conda-forge
udunits2                  2.2.28               h40f5838_3    conda-forge
unicodedata2              16.0.0          py310h7c4b9e2_1    conda-forge
uri-template              1.3.0              pyhd8ed1ab_1    conda-forge
uriparser                 0.9.8                hac33072_0    conda-forge
urllib3                   2.5.0              pyhd8ed1ab_0    conda-forge
wcwidth                   0.2.13             pyhd8ed1ab_1    conda-forge
webcolors                 24.11.1            pyhd8ed1ab_0    conda-forge
webencodings              0.5.1              pyhd8ed1ab_3    conda-forge
websocket-client          1.8.0              pyhd8ed1ab_1    conda-forge
wheel                     0.45.1             pyhd8ed1ab_1    conda-forge
x265                      3.5                  h924138e_3    conda-forge
xarray                    2025.6.1           pyhd8ed1ab_1    conda-forge
xcdat                     0.10.0             pyhd8ed1ab_0    conda-forge
xclim                     0.58.1             pyhd8ed1ab_0    conda-forge
xerces-c                  3.2.5                h988505b_2    conda-forge
xesmf                     0.8.10             pyhd8ed1ab_0    conda-forge
xgcm                      0.9.0              pyhd8ed1ab_0    conda-forge
xmltodict                 1.0.2              pyhcf101f3_0    conda-forge
xorg-libx11               1.8.12               h4f16b4b_0    conda-forge
xorg-libxau               1.0.12               hb9d3cd8_0    conda-forge
xorg-libxdmcp             1.1.5                hb9d3cd8_0    conda-forge
xorg-libxext              1.3.6                hb9d3cd8_0    conda-forge
xorg-libxfixes            6.0.1                hb9d3cd8_0    conda-forge
xorg-libxi                1.8.2                hb9d3cd8_0    conda-forge
xyzservices               2025.4.0           pyhd8ed1ab_0    conda-forge
yamale                    5.3.0              pyhd8ed1ab_0    conda-forge
yaml                      0.2.5                h280c20c_3    conda-forge
zeromq                    4.3.5                h387f397_9    conda-forge
zict                      3.0.0              pyhd8ed1ab_1    conda-forge
zipp                      3.23.0             pyhd8ed1ab_0    conda-forge
zlib                      1.3.1                hb9d3cd8_2    conda-forge
zstandard                 0.25.0          py310h139afa4_0    conda-forge
zstd                      1.5.7                hb8e6e7a_2    conda-forge
(pcmdi) 

Thank you for your support!