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pmp/extratropical-modes-of-variability-npgo/cmip6

Committed artefacts changed

Images
NPGO_ts_EOF1_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005.png changed 87,702 B -> 87,702 B (+0)
old old NPGO_ts_EOF1_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005.png
new new NPGO_ts_EOF1_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005.png
NPGO_ts_EOF2_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005.png changed 87,542 B -> 87,542 B (+0)
old old NPGO_ts_EOF2_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005.png
new new NPGO_ts_EOF2_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005.png
NPGO_ts_EOF2_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_cbf.png changed 87,799 B -> 87,799 B (+0)
old old NPGO_ts_EOF2_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_cbf.png
new new NPGO_ts_EOF2_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_cbf.png
NPGO_ts_EOF2_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_cbf_compare_obs.png changed 222,344 B -> 222,343 B (-1)
old old NPGO_ts_EOF2_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_cbf_compare_obs.png
new new NPGO_ts_EOF2_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_cbf_compare_obs.png
NPGO_ts_EOF2_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_eof2_compare_obs.png changed 224,118 B -> 224,115 B (-3)
old old NPGO_ts_EOF2_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_eof2_compare_obs.png
new new NPGO_ts_EOF2_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_eof2_compare_obs.png
NPGO_ts_EOF2_monthly_obs_1900-2005.png changed 81,184 B -> 81,186 B (+2)
old old NPGO_ts_EOF2_monthly_obs_1900-2005.png
new new NPGO_ts_EOF2_monthly_obs_1900-2005.png
Text

diagnostic.json changed 4,092 B -> 4,089 B (-3) 6c6c6044b7da -> c15e443c2fcf old new

--- old+++ new@@ -80,50 +80,50 @@                       "period": "1900-2005"                     },                     "cbf": {-                      "bias": 0.002721979950309319,-                      "bias_glo": 0.005024362470650073,-                      "cor": 0.8527454283018736,-                      "cor_glo": 0.6949934773984078,-                      "frac": 0.09980431535812759,-                      "frac_cbf_regrid": 0.17718831748962474,-                      "mean": -8.548825776692669e-16,-                      "mean_glo": 0.052441391923911736,-                      "rms": 0.1551412461458313,-                      "rms_glo": 0.0880576548994632,-                      "rmsc": 0.5688539405117655,-                      "rmsc_glo": 0.8240389525783306,-                      "stdv_pc": 0.17712788230717452,-                      "stdv_pc_ratio_to_obs": 1.1629842956930374+                      "bias": 0.002721995691304531,+                      "bias_glo": 0.005024368566637117,+                      "cor": 0.8407670639783027,+                      "cor_glo": 0.6721395532112391,+                      "frac": 0.09980431045214175,+                      "frac_cbf_regrid": 0.1771883249834681,+                      "mean": -8.738418973610636e-16,+                      "mean_glo": 0.05244139598383166,+                      "rms": 0.15514122290035426,+                      "rms_glo": 0.08805764925264986,+                      "rmsc": 0.564327806557249,+                      "rmsc_glo": 0.8097659628737157,+                      "stdv_pc": 0.17712786286394974,+                      "stdv_pc_ratio_to_obs": 1.1629841680329271                     },                     "eof1": {-                      "bias": 0.017663988100245866,-                      "bias_glo": -0.08198712317302952,-                      "cor": 0.17739337646913253,-                      "cor_glo": 0.16361367830491988,-                      "frac": 0.20657187012938819,-                      "mean": -4.6313277921828685e-17,-                      "mean_glo": -0.034763214002065966,-                      "rms": 0.4021688527990276,-                      "rms_glo": 0.18843914850173885,-                      "rmsc": 1.291320900685625,-                      "rmsc_glo": 1.3202432715686494,-                      "stdv_pc": 0.3114757116787781,-                      "stdv_pc_ratio_to_obs": 2.045083791743378+                      "bias": 0.01766398255471964,+                      "bias_glo": -0.08198712407465572,+                      "cor": 0.17571346780056704,+                      "cor_glo": 0.15798229621795054,+                      "frac": 0.2065718701293877,+                      "mean": -4.579932046030408e-17,+                      "mean_glo": -0.03476321400206594,+                      "rms": 0.40216886736084645,+                      "rms_glo": 0.18843915181833557,+                      "rmsc": 1.2839677107983651,+                      "rmsc_glo": 1.2977038979097537,+                      "stdv_pc": 0.3114757116787776,+                      "stdv_pc_ratio_to_obs": 2.045083791743376                     },                     "eof2": {-                      "bias": 0.001959502413025725,-                      "bias_glo": 0.014915752251873577,-                      "cor": 0.6879323139903363,-                      "cor_glo": 0.6004924259607454,-                      "frac": 0.10556829364186177,-                      "mean": -1.0391077744335324e-15,-                      "mean_glo": 0.06201271720300405,-                      "rms": 0.20804762349858383,-                      "rms_glo": 0.09836151375554375,-                      "rmsc": 0.8079302339704031,-                      "rmsc_glo": 0.9303122957994538,-                      "stdv_pc": 0.22266673811241516,-                      "stdv_pc_ratio_to_obs": 1.461982812784095+                      "bias": 0.0019595213351779567,+                      "bias_glo": 0.01491575441342342,+                      "cor": 0.6783559384495202,+                      "cor_glo": 0.581394807878565,+                      "frac": 0.10556829364186207,+                      "mean": -1.0516711790485783e-15,+                      "mean_glo": 0.06201271720300408,+                      "rms": 0.20804761030854044,+                      "rms_glo": 0.09836151055746954,+                      "rmsc": 0.8020524488346077,+                      "rmsc_glo": 0.9149920370218224,+                      "stdv_pc": 0.22266673811241544,+                      "stdv_pc_ratio_to_obs": 1.4619828127840977                     }                   }                 }

var_mode_NPGO_EOF2_stat_cmip6_historical_mo_atm_ACCESS-ESM1-5_r1i1p1f1_1900-2005_cmec.json changed 5,468 B -> 5,459 B (-9) 42b6eda64f50 -> b288fae25364 old new

--- old+++ new@@ -51,15 +51,15 @@       "defaultReference": {         "NPGO": {           "monthly": {-            "frac": 0.1087274412979581,-            "mean": -0.0005403731033845277,-            "mean_glo": 0.04585065169485107,-            "stdv_pc": 0.15230462093352837+            "frac": 0.10872744129795804,+            "mean": -0.0005403731033845474,+            "mean_glo": 0.04585065169485108,+            "stdv_pc": 0.15230462093352828           }         },         "period": "1900-2005",         "reference_eofs": 2,-        "source": "/Users/jared/Library/Caches/climate_ref/obs4ref/obs4REF/MOHC/HadISST-1-1/mon/ts/gn/v20250415/ts_mon_HadISST-1-1_PCMDI_gn_187001-202501.nc"+        "source": "/data/projects/climate-ref/cache/obs4ref/obs4REF/MOHC/HadISST-1-1/mon/ts/gn/v20250415/ts_mon_HadISST-1-1_PCMDI_gn_187001-202501.nc"       }     }   },@@ -79,52 +79,52 @@                 "period": "1900-2005"               },               "cbf": {-                "bias": 0.002721979950309319,-                "bias_glo": 0.005024362470650073,-                "cor": 0.8527454283018736,-                "cor_glo": 0.6949934773984078,-                "frac": 0.09980431535812759,-                "frac_cbf_regrid": 0.17718831748962474,-                "mean": -8.548825776692669e-16,-                "mean_glo": 0.052441391923911736,-                "rms": 0.1551412461458313,-                "rms_glo": 0.0880576548994632,-                "rmsc": 0.5688539405117655,-                "rmsc_glo": 0.8240389525783306,-                "stdv_pc": 0.17712788230717452,-                "stdv_pc_ratio_to_obs": 1.1629842956930374+                "bias": 0.002721995691304531,+                "bias_glo": 0.005024368566637117,+                "cor": 0.8407670639783027,+                "cor_glo": 0.6721395532112391,+                "frac": 0.09980431045214175,+                "frac_cbf_regrid": 0.1771883249834681,+                "mean": -8.738418973610636e-16,+                "mean_glo": 0.05244139598383166,+                "rms": 0.15514122290035426,+                "rms_glo": 0.08805764925264986,+                "rmsc": 0.564327806557249,+                "rmsc_glo": 0.8097659628737157,+                "stdv_pc": 0.17712786286394974,+                "stdv_pc_ratio_to_obs": 1.1629841680329271               },               "eof1": {-                "bias": 0.017663988100245866,-                "bias_glo": -0.08198712317302952,-                "cor": 0.17739337646913253,-                "cor_glo": 0.16361367830491988,-                "frac": 0.20657187012938819,-                "mean": -4.6313277921828685e-17,-                "mean_glo": -0.034763214002065966,-                "rms": 0.4021688527990276,-                "rms_glo": 0.18843914850173885,-                "rmsc": 1.291320900685625,-                "rmsc_glo": 1.3202432715686494,-                "stdv_pc": 0.3114757116787781,-                "stdv_pc_ratio_to_obs": 2.045083791743378,-                "tcor_cbf_vs_eof_pc": 0.29232407958166945+                "bias": 0.01766398255471964,+                "bias_glo": -0.08198712407465572,+                "cor": 0.17571346780056704,+                "cor_glo": 0.15798229621795054,+                "frac": 0.2065718701293877,+                "mean": -4.579932046030408e-17,+                "mean_glo": -0.03476321400206594,+                "rms": 0.40216886736084645,+                "rms_glo": 0.18843915181833557,+                "rmsc": 1.2839677107983651,+                "rmsc_glo": 1.2977038979097537,+                "stdv_pc": 0.3114757116787776,+                "stdv_pc_ratio_to_obs": 2.045083791743376,+                "tcor_cbf_vs_eof_pc": 0.29232402681771585               },               "eof2": {-                "bias": 0.001959502413025725,-                "bias_glo": 0.014915752251873577,-                "cor": 0.6879323139903363,-                "cor_glo": 0.6004924259607454,-                "frac": 0.10556829364186177,-                "mean": -1.0391077744335324e-15,-                "mean_glo": 0.06201271720300405,-                "rms": 0.20804762349858383,-                "rms_glo": 0.09836151375554375,-                "rmsc": 0.8079302339704031,-                "rmsc_glo": 0.9303122957994538,-                "stdv_pc": 0.22266673811241516,-                "stdv_pc_ratio_to_obs": 1.461982812784095,-                "tcor_cbf_vs_eof_pc": 0.8269342523470795+                "bias": 0.0019595213351779567,+                "bias_glo": 0.01491575441342342,+                "cor": 0.6783559384495202,+                "cor_glo": 0.581394807878565,+                "frac": 0.10556829364186207,+                "mean": -1.0516711790485783e-15,+                "mean_glo": 0.06201271720300408,+                "rms": 0.20804761030854044,+                "rms_glo": 0.09836151055746954,+                "rmsc": 0.8020524488346077,+                "rmsc_glo": 0.9149920370218224,+                "stdv_pc": 0.22266673811241544,+                "stdv_pc_ratio_to_obs": 1.4619828127840977,+                "tcor_cbf_vs_eof_pc": 0.8269342570688687               }             }           }
NetCDF

NPGO_ts_EOF1_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005.nc changed 710,422 B -> 710,422 B (+0) old new

Header
  xarray.Dataset {  dimensions:  	time = 1272 ;  	lat = 145 ;  	lon = 192 ;    variables:  	int64 mode() ;  		mode:long_name = eof_mode_number ;  	float64 pc(time) ;  		pc:_FillValue = nan ;  		pc:comment = Non-scaled time series for principal component of 2th variance mode ;  		pc:variable = ts ;  		pc:eof_mode = 1 ;  		pc:coordinates = mode ;  	float64 eof(lat, lon) ;  		eof:_FillValue = nan ;  		eof:variable = ts ;  		eof:description = linear regression on global field for teleconnection ;  		eof:comment = Reconstructed EOF pattern with teleconnection considerations ;  		eof:eof_mode = 1 ;  		eof:coordinates = mode ;  	float64 slope(lat, lon) ;  		slope:_FillValue = nan ;  		slope:coordinates = mode ;  	float64 intercept(lat, lon) ;  		intercept:_FillValue = nan ;  		intercept:coordinates = mode ;  	float64 frac() ;  		frac:_FillValue = nan ;  		frac:long_name = variance_fractions ;  		frac:units = ratio ;  		frac:coordinates = mode ;  	float64 time(time) ;  		time:_FillValue = nan ;  		time:bounds = time_bnds ;  		time:axis = T ;  		time:long_name = time ;  		time:standard_name = time ;  		time:units = days since 1850-01-01 ;  		time:calendar = proleptic_gregorian ;  	float64 lat(lat) ;  		lat:_FillValue = nan ;  		lat:bounds = lat_bnds ;  		lat:units = degrees_north ;  		lat:axis = Y ;  		lat:long_name = Latitude ;  		lat:standard_name = latitude ;  	float64 lon(lon) ;  		lon:_FillValue = nan ;  		lon:bounds = lon_bnds ;  		lon:units = degrees_east ;  		lon:axis = X ;  		lon:long_name = Longitude ;  		lon:standard_name = longitude ;    // global attributes:  	:title = PCMDI Metrics Package Extratropical Modes of Variability diagnostics ;  	:author = PCMDI ;  	:contact = [email protected] ;- 	:creation_date = 2026-07-09 04:32:51 ;+ 	:creation_date = 2026-09-04 02:03:31 ;  	:references =       Lee, J., K. Sperber, P. Gleckler, C. Bonfils, and K. Taylor, 2019: Quantifying the Agreement Between Observed and Simulated Extratropical Modes of Interannual Variability. Climate Dynamics, 52, 4057-4089, doi: 10.1007/s00382-018-4355-4,      Lee, J., K. Sperber, P. Gleckler, K. Taylor, and C. Bonfils, 2021: Benchmarking performance changes in the simulation of extratropical modes of variability across CMIP generations. Journal of Climate, 34, 6945–6969, doi: 10.1175/JCLI-D-20-0832.1,      Lee, J., P. J. Gleckler, M.-S. Ahn, A. Ordonez, P. Ullrich, K. R. Sperber, K. E. Taylor, Y. Y. Planton, E. Guilyardi, P. Durack, C. Bonfils, M. D. Zelinka, L.-W. Chao, B. Dong, C. Doutriaux, C. Zhang, T. Vo, J. Boutte, M. F. Wehner, A. G. Pendergrass, D. Kim, Z. Xue, A. T. Wittenberg, and J. Krasting, 2024: Systematic and Objective Evaluation of Earth System Models: PCMDI Metrics Package (PMP) version 3. Geoscientific Model Development, 17, 3919–3948, doi: 10.5194/gmd-17-3919-2024       ;  	:identifier = CMIP6 ACCESS-ESM1-5 (r1i1p1f1), EOF1 ;  }
variableshapeminmaxmean nanmax abs diffmax rel diffcells differ
eof 145x192 -> 145x192 -1.07764 -> -1.07764 2.48682 -> 2.48682 -0.0285157 -> -0.0285157 9,278 -> 9,278 1.9984e-15 8.03598e-16 17,823
frac scalar -> scalar 0.206572 -> 0.206572 0.206572 -> 0.206572 0.206572 -> 0.206572 0 -> 0 4.71845e-16 2.28417e-15 1
intercept 145x192 -> 145x192 -0.00110205 -> -0.00110205 0.000643805 -> 0.000643805 1.12694e-05 -> 1.12694e-05 9,278 -> 9,278 9.40112e-16 8.5306e-13 18,097
mode scalar -> scalar 0 -> 0 0 -> 0 0 -> 0 0 -> 0 0 0 0
pc 1272 -> 1272 -0.942122 -> -0.942122 0.841841 -> 0.841841 1.11721e-17 -> -5.58603e-18 0 -> 0 3.44169e-15 3.65313e-15 1,244
slope 145x192 -> 145x192 -7.9837 -> -7.9837 3.46014 -> 3.46014 0.0915142 -> 0.0915142 9,278 -> 9,278 1.95399e-14 2.44748e-15 18,250

NPGO_ts_EOF2_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005.nc changed 710,422 B -> 710,422 B (+0) old new

Header
  xarray.Dataset {  dimensions:  	time = 1272 ;  	lat = 145 ;  	lon = 192 ;    variables:  	int64 mode() ;  		mode:long_name = eof_mode_number ;  	float64 pc(time) ;  		pc:_FillValue = nan ;  		pc:comment = Non-scaled time series for principal component of 2th variance mode ;  		pc:variable = ts ;  		pc:eof_mode = 2 ;  		pc:coordinates = mode ;  	float64 eof(lat, lon) ;  		eof:_FillValue = nan ;  		eof:variable = ts ;  		eof:description = linear regression on global field for teleconnection ;  		eof:comment = Reconstructed EOF pattern with teleconnection considerations ;  		eof:eof_mode = 2 ;  		eof:coordinates = mode ;  	float64 slope(lat, lon) ;  		slope:_FillValue = nan ;  		slope:coordinates = mode ;  	float64 intercept(lat, lon) ;  		intercept:_FillValue = nan ;  		intercept:coordinates = mode ;  	float64 frac() ;  		frac:_FillValue = nan ;  		frac:long_name = variance_fractions ;  		frac:units = ratio ;  		frac:coordinates = mode ;  	float64 time(time) ;  		time:_FillValue = nan ;  		time:bounds = time_bnds ;  		time:axis = T ;  		time:long_name = time ;  		time:standard_name = time ;  		time:units = days since 1850-01-01 ;  		time:calendar = proleptic_gregorian ;  	float64 lat(lat) ;  		lat:_FillValue = nan ;  		lat:bounds = lat_bnds ;  		lat:units = degrees_north ;  		lat:axis = Y ;  		lat:long_name = Latitude ;  		lat:standard_name = latitude ;  	float64 lon(lon) ;  		lon:_FillValue = nan ;  		lon:bounds = lon_bnds ;  		lon:units = degrees_east ;  		lon:axis = X ;  		lon:long_name = Longitude ;  		lon:standard_name = longitude ;    // global attributes:  	:title = PCMDI Metrics Package Extratropical Modes of Variability diagnostics ;  	:author = PCMDI ;  	:contact = [email protected] ;- 	:creation_date = 2026-07-09 04:33:01 ;+ 	:creation_date = 2026-09-04 02:03:52 ;  	:references =       Lee, J., K. Sperber, P. Gleckler, C. Bonfils, and K. Taylor, 2019: Quantifying the Agreement Between Observed and Simulated Extratropical Modes of Interannual Variability. Climate Dynamics, 52, 4057-4089, doi: 10.1007/s00382-018-4355-4,      Lee, J., K. Sperber, P. Gleckler, K. Taylor, and C. Bonfils, 2021: Benchmarking performance changes in the simulation of extratropical modes of variability across CMIP generations. Journal of Climate, 34, 6945–6969, doi: 10.1175/JCLI-D-20-0832.1,      Lee, J., P. J. Gleckler, M.-S. Ahn, A. Ordonez, P. Ullrich, K. R. Sperber, K. E. Taylor, Y. Y. Planton, E. Guilyardi, P. Durack, C. Bonfils, M. D. Zelinka, L.-W. Chao, B. Dong, C. Doutriaux, C. Zhang, T. Vo, J. Boutte, M. F. Wehner, A. G. Pendergrass, D. Kim, Z. Xue, A. T. Wittenberg, and J. Krasting, 2024: Systematic and Objective Evaluation of Earth System Models: PCMDI Metrics Package (PMP) version 3. Geoscientific Model Development, 17, 3919–3948, doi: 10.5194/gmd-17-3919-2024       ;  	:identifier = CMIP6 ACCESS-ESM1-5 (r1i1p1f1), EOF2 ;  }
variableshapeminmaxmean nanmax abs diffmax rel diffcells differ
eof 145x192 -> 145x192 -1.31404 -> -1.31404 0.504916 -> 0.504916 0.0660623 -> 0.0660623 9,278 -> 9,278 2.22045e-15 1.68978e-15 17,426
frac scalar -> scalar 0.105568 -> 0.105568 0.105568 -> 0.105568 0.105568 -> 0.105568 0 -> 0 3.05311e-16 2.89207e-15 1
intercept 145x192 -> 145x192 -0.00110205 -> -0.00110205 0.000643805 -> 0.000643805 1.12694e-05 -> 1.12694e-05 9,278 -> 9,278 8.96527e-16 8.13511e-13 18,091
mode scalar -> scalar 1 -> 1 1 -> 1 1 -> 1 0 -> 0 0 0 0
pc 1272 -> 1272 -0.777925 -> -0.777925 0.622998 -> 0.622998 5.58603e-18 -> 6.98253e-19 0 -> 0 2.22045e-15 2.85432e-15 1,234
slope 145x192 -> 145x192 -2.26762 -> -2.26762 5.90172 -> 5.90172 -0.296738 -> -0.296738 9,278 -> 9,278 8.88178e-15 1.50495e-15 18,025

NPGO_ts_EOF2_monthly_cmip6_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_cbf.nc changed 710,123 B -> 710,123 B (+0) old new

Header
  xarray.Dataset {  dimensions:  	time = 1272 ;  	lat = 145 ;  	lon = 192 ;    variables:  	int64 mode() ;  		mode:long_name = eof_mode_number ;  	float64 pc(time) ;  		pc:_FillValue = nan ;  		pc:long_name = ts_pseudo_pcs ;  		pc:comment = Non-scaled pseudo principal components ;  		pc:coordinates = mode ;  	float64 eof(lat, lon) ;  		eof:_FillValue = nan ;  		eof:variable = ts ;  		eof:description = linear regression on global field for teleconnection ;  		eof:comment = Reconstructed EOF pattern with teleconnection considerations ;  		eof:coordinates = mode ;  	float64 slope(lat, lon) ;  		slope:_FillValue = nan ;  		slope:coordinates = mode ;  	float64 intercept(lat, lon) ;  		intercept:_FillValue = nan ;  		intercept:coordinates = mode ;  	float64 frac() ;  		frac:_FillValue = nan ;  		frac:coordinates = mode ;  	float64 time(time) ;  		time:_FillValue = nan ;  		time:bounds = time_bnds ;  		time:axis = T ;  		time:long_name = time ;  		time:standard_name = time ;  		time:units = days since 1850-01-01 ;  		time:calendar = proleptic_gregorian ;  	float64 lat(lat) ;  		lat:_FillValue = nan ;  		lat:bounds = lat_bnds ;  		lat:units = degrees_north ;  		lat:axis = Y ;  		lat:long_name = Latitude ;  		lat:standard_name = latitude ;  	float64 lon(lon) ;  		lon:_FillValue = nan ;  		lon:bounds = lon_bnds ;  		lon:units = degrees_east ;  		lon:axis = X ;  		lon:long_name = Longitude ;  		lon:standard_name = longitude ;    // global attributes:  	:title = PCMDI Metrics Package Extratropical Modes of Variability diagnostics ;  	:author = PCMDI ;  	:contact = [email protected] ;- 	:creation_date = 2026-07-09 04:31:09 ;+ 	:creation_date = 2026-09-04 02:02:59 ;  	:references =       Lee, J., K. Sperber, P. Gleckler, C. Bonfils, and K. Taylor, 2019: Quantifying the Agreement Between Observed and Simulated Extratropical Modes of Interannual Variability. Climate Dynamics, 52, 4057-4089, doi: 10.1007/s00382-018-4355-4,      Lee, J., K. Sperber, P. Gleckler, K. Taylor, and C. Bonfils, 2021: Benchmarking performance changes in the simulation of extratropical modes of variability across CMIP generations. Journal of Climate, 34, 6945–6969, doi: 10.1175/JCLI-D-20-0832.1,      Lee, J., P. J. Gleckler, M.-S. Ahn, A. Ordonez, P. Ullrich, K. R. Sperber, K. E. Taylor, Y. Y. Planton, E. Guilyardi, P. Durack, C. Bonfils, M. D. Zelinka, L.-W. Chao, B. Dong, C. Doutriaux, C. Zhang, T. Vo, J. Boutte, M. F. Wehner, A. G. Pendergrass, D. Kim, Z. Xue, A. T. Wittenberg, and J. Krasting, 2024: Systematic and Objective Evaluation of Earth System Models: PCMDI Metrics Package (PMP) version 3. Geoscientific Model Development, 17, 3919–3948, doi: 10.5194/gmd-17-3919-2024       ;  	:identifier = CMIP6 ACCESS-ESM1-5 (r1i1p1f1), CBF ;  }
variableshapeminmaxmean nanmax abs diffmax rel diffcells differ
eof 145x192 -> 145x192 -0.580944 -> -0.580944 0.648114 -> 0.648113 0.0563512 -> 0.0563513 9,278 -> 9,278 2.06718e-07 3.18954e-07 18,562
frac scalar -> scalar 0.0998043 -> 0.0998043 0.0998043 -> 0.0998043 0.0998043 -> 0.0998043 0 -> 0 4.90599e-09 4.9156e-08 1
intercept 145x192 -> 145x192 -0.00107782 -> -0.00107782 0.000647227 -> 0.000647227 1.72794e-05 -> 1.72794e-05 9,278 -> 9,278 2.62428e-11 2.4348e-08 18,562
mode scalar -> scalar 1 -> 1 1 -> 1 1 -> 1 0 -> 0 0 0 0
pc 1272 -> 1272 -0.721618 -> -0.721618 0.491012 -> 0.491012 -1.8897e-05 -> -1.8897e-05 0 -> 0 9.67104e-08 1.34019e-07 1,272
slope 145x192 -> 145x192 -3.27979 -> -3.27979 3.65805 -> 3.65805 0.318041 -> 0.318041 9,278 -> 9,278 1.11286e-06 3.04222e-07 18,562

NPGO_ts_EOF2_monthly_obs_1900-2005.nc changed 1,598,768 B -> 1,598,768 B (+0) old new

Header
  xarray.Dataset {  dimensions:  	time = 1272 ;  	lat = 180 ;  	lon = 360 ;    variables:  	int64 mode() ;  		mode:long_name = eof_mode_number ;  	float64 pc(time) ;  		pc:_FillValue = nan ;  		pc:comment = Non-scaled time series for principal component of 2th variance mode ;  		pc:variable = ts ;  		pc:eof_mode = 2 ;  		pc:coordinates = mode ;  	float64 eof(lat, lon) ;  		eof:_FillValue = nan ;  		eof:variable = ts ;  		eof:description = linear regression on global field for teleconnection ;  		eof:comment = Reconstructed EOF pattern with teleconnection considerations ;  		eof:eof_mode = 2 ;  		eof:coordinates = mode ;  	float64 slope(lat, lon) ;  		slope:_FillValue = nan ;  		slope:coordinates = mode ;  	float64 intercept(lat, lon) ;  		intercept:_FillValue = nan ;  		intercept:coordinates = mode ;  	float64 frac() ;  		frac:_FillValue = nan ;  		frac:long_name = variance_fractions ;  		frac:units = ratio ;  		frac:coordinates = mode ;  	float64 time(time) ;  		time:_FillValue = nan ;  		time:bounds = time_bnds ;  		time:axis = T ;  		time:long_name = time ;  		time:standard_name = time ;  		time:units = days since 1870-01-01 ;  		time:calendar = standard ;  	float64 lat(lat) ;  		lat:_FillValue = nan ;  		lat:bounds = lat_bnds ;  		lat:units = degrees_north ;  		lat:axis = Y ;  		lat:long_name = Latitude ;  		lat:standard_name = latitude ;  	float64 lon(lon) ;  		lon:_FillValue = nan ;  		lon:bounds = lon_bnds ;  		lon:units = degrees_east ;  		lon:axis = X ;  		lon:long_name = Longitude ;  		lon:standard_name = longitude ;    // global attributes:  	:title = PCMDI Metrics Package Extratropical Modes of Variability diagnostics ;  	:author = PCMDI ;  	:contact = [email protected] ;- 	:creation_date = 2026-07-09 04:30:38 ;+ 	:creation_date = 2026-09-04 02:02:02 ;  	:references =       Lee, J., K. Sperber, P. Gleckler, C. Bonfils, and K. Taylor, 2019: Quantifying the Agreement Between Observed and Simulated Extratropical Modes of Interannual Variability. Climate Dynamics, 52, 4057-4089, doi: 10.1007/s00382-018-4355-4,      Lee, J., K. Sperber, P. Gleckler, K. Taylor, and C. Bonfils, 2021: Benchmarking performance changes in the simulation of extratropical modes of variability across CMIP generations. Journal of Climate, 34, 6945–6969, doi: 10.1175/JCLI-D-20-0832.1,      Lee, J., P. J. Gleckler, M.-S. Ahn, A. Ordonez, P. Ullrich, K. R. Sperber, K. E. Taylor, Y. Y. Planton, E. Guilyardi, P. Durack, C. Bonfils, M. D. Zelinka, L.-W. Chao, B. Dong, C. Doutriaux, C. Zhang, T. Vo, J. Boutte, M. F. Wehner, A. G. Pendergrass, D. Kim, Z. Xue, A. T. Wittenberg, and J. Krasting, 2024: Systematic and Objective Evaluation of Earth System Models: PCMDI Metrics Package (PMP) version 3. Geoscientific Model Development, 17, 3919–3948, doi: 10.5194/gmd-17-3919-2024       ;  	:identifier = HadISST-1-1 ;  }
variableshapeminmaxmean nanmax abs diffmax rel diffcells differ
eof 180x360 -> 180x360 -0.480735 -> -0.480735 0.414679 -> 0.414679 0.0416207 -> 0.0416207 31,464 -> 31,464 1.94289e-15 4.0415e-15 32,721
frac scalar -> scalar 0.108727 -> 0.108727 0.108727 -> 0.108727 0.108727 -> 0.108727 0 -> 0 5.55112e-17 5.10553e-16 1
intercept 180x360 -> 180x360 -0.000395238 -> -0.000395238 0.000322253 -> 0.000322253 6.20779e-05 -> 6.20779e-05 31,464 -> 31,464 4.04678e-16 1.02388e-12 32,783
mode scalar -> scalar 1 -> 1 1 -> 1 1 -> 1 0 -> 0 0 0 0
pc 1272 -> 1272 -0.569242 -> -0.569242 0.511152 -> 0.511152 5.58603e-18 -> 4.18952e-18 0 -> 0 1.9984e-15 3.51063e-15 1,258
slope 180x360 -> 180x360 -3.15715 -> -3.15715 2.7221 -> 2.7221 0.272865 -> 0.272865 31,464 -> 31,464 1.11022e-14 3.51654e-15 32,758