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pmp/extratropical-modes-of-variability-npgo/cmip7

Committed artefacts changed

Images
NPGO_ts_EOF1_monthly_cmip7_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005.png changed 87,447 B -> 87,447 B (+0)
old old NPGO_ts_EOF1_monthly_cmip7_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005.png
new new NPGO_ts_EOF1_monthly_cmip7_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005.png
NPGO_ts_EOF2_monthly_cmip7_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005.png changed 87,285 B -> 87,285 B (+0)
old old NPGO_ts_EOF2_monthly_cmip7_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005.png
new new NPGO_ts_EOF2_monthly_cmip7_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005.png
NPGO_ts_EOF2_monthly_cmip7_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_cbf.png changed 87,536 B -> 87,536 B (+0)
old old NPGO_ts_EOF2_monthly_cmip7_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_cbf.png
new new NPGO_ts_EOF2_monthly_cmip7_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_cbf.png
NPGO_ts_EOF2_monthly_cmip7_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_cbf_compare_obs.png changed 222,111 B -> 222,111 B (+0)
old old NPGO_ts_EOF2_monthly_cmip7_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_cbf_compare_obs.png
new new NPGO_ts_EOF2_monthly_cmip7_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_cbf_compare_obs.png
NPGO_ts_EOF2_monthly_cmip7_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_eof2_compare_obs.png changed 223,876 B -> 223,874 B (-2)
old old NPGO_ts_EOF2_monthly_cmip7_ACCESS-ESM1-5_historical_r1i1p1f1_mo_atm_1900-2005_eof2_compare_obs.png
new new NPGO_ts_EOF2_monthly_cmip7_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 4,088 B -> 4,096 B (+8) a675c0e554fa -> 9aabb74c151a old new

--- old+++ new@@ -80,50 +80,50 @@                       "period": "1900-2005"                     },                     "cbf": {-                      "bias": 0.0027219557398285824,-                      "bias_glo": 0.00502445016292782,-                      "cor": 0.8527462319128272,-                      "cor_glo": 0.6949937683393411,-                      "frac": 0.09980412199516571,-                      "frac_cbf_regrid": 0.1771865134870592,-                      "mean": -8.777251315148051e-16,-                      "mean_glo": 0.05244147893125718,-                      "rms": 0.15514074055090962,-                      "rms_glo": 0.0880575272166798,-                      "rmsc": 0.5688524875363878,-                      "rmsc_glo": 0.8240385290955596,-                      "stdv_pc": 0.17712785922278854,-                      "stdv_pc_ratio_to_obs": 1.1629841441258304+                      "bias": 0.0027219715068675936,+                      "bias_glo": 0.005024456307575294,+                      "cor": 0.8407678759977953,+                      "cor_glo": 0.6721398647850402,+                      "frac": 0.09980411709246433,+                      "frac_cbf_regrid": 0.17718652171772145,+                      "mean": -8.816083656685465e-16,+                      "mean_glo": 0.052441482989564796,+                      "rms": 0.15514071696819554,+                      "rms_glo": 0.08805752144809878,+                      "rmsc": 0.5643263802488628,+                      "rmsc_glo": 0.8097655580436857,+                      "stdv_pc": 0.17712783978509353,+                      "stdv_pc_ratio_to_obs": 1.1629840165020278                     },                     "eof1": {-                      "bias": 0.01766399817563257,-                      "bias_glo": -0.08198719040105107,-                      "cor": 0.17739320371160902,-                      "cor_glo": 0.16361357924752973,-                      "frac": 0.2065714782954043,-                      "mean": -4.6370384306442534e-17,-                      "mean_glo": -0.03476330357905301,-                      "rms": 0.40216857637704967,-                      "rms_glo": 0.18843905043090356,-                      "rmsc": 1.2913210611475165,-                      "rmsc_glo": 1.3202434076612108,-                      "stdv_pc": 0.3114754004535793,-                      "stdv_pc_ratio_to_obs": 2.0450817483044013+                      "bias": 0.017663992835352523,+                      "bias_glo": -0.0819871912659038,+                      "cor": 0.1757132931504005,+                      "cor_glo": 0.15798219634863175,+                      "frac": 0.20657147829540423,+                      "mean": -4.522825661416562e-17,+                      "mean_glo": -0.03476330357905302,+                      "rms": 0.40216859106100056,+                      "rms_glo": 0.18843905377395873,+                      "rmsc": 1.2839678154785037,+                      "rmsc_glo": 1.2977040051877597,+                      "stdv_pc": 0.31147540045357885,+                      "stdv_pc_ratio_to_obs": 2.0450817483043995                     },                     "eof2": {-                      "bias": 0.0019594743225365436,-                      "bias_glo": 0.014915900903728355,-                      "cor": 0.6879325378821781,-                      "cor_glo": 0.600491921738993,-                      "frac": 0.1055681418378,-                      "mean": -1.0557828387407753e-15,-                      "mean_glo": 0.06201285416857965,-                      "rms": 0.20804740302381156,-                      "rms_glo": 0.09836157249432219,-                      "rmsc": 0.8079299538499005,-                      "rmsc_glo": 0.9303128488180662,-                      "stdv_pc": 0.22266656671242888,-                      "stdv_pc_ratio_to_obs": 1.4619816874079559+                      "bias": 0.0019594933317660965,+                      "bias_glo": 0.014915903089132931,+                      "cor": 0.6783561551600842,+                      "cor_glo": 0.5813943154456755,+                      "frac": 0.10556814183779989,+                      "mean": -1.0617219027406153e-15,+                      "mean_glo": 0.062012854168579615,+                      "rms": 0.20804738980410814,+                      "rms_glo": 0.09836156930940422,+                      "rmsc": 0.8020521538360724,+                      "rmsc_glo": 0.9149925409121191,+                      "stdv_pc": 0.2226665667124285,+                      "stdv_pc_ratio_to_obs": 1.461981687407954                     }                   }                 }

var_mode_NPGO_EOF2_stat_cmip7_historical_mo_atm_ACCESS-ESM1-5_r1i1p1f1_1900-2005_cmec.json changed 5,463 B -> 5,463 B (+0) 4bc2fd0139b3 -> 5e128884068a 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": 0.0027219557398285824,-                "bias_glo": 0.00502445016292782,-                "cor": 0.8527462319128272,-                "cor_glo": 0.6949937683393411,-                "frac": 0.09980412199516571,-                "frac_cbf_regrid": 0.1771865134870592,-                "mean": -8.777251315148051e-16,-                "mean_glo": 0.05244147893125718,-                "rms": 0.15514074055090962,-                "rms_glo": 0.0880575272166798,-                "rmsc": 0.5688524875363878,-                "rmsc_glo": 0.8240385290955596,-                "stdv_pc": 0.17712785922278854,-                "stdv_pc_ratio_to_obs": 1.1629841441258304+                "bias": 0.0027219715068675936,+                "bias_glo": 0.005024456307575294,+                "cor": 0.8407678759977953,+                "cor_glo": 0.6721398647850402,+                "frac": 0.09980411709246433,+                "frac_cbf_regrid": 0.17718652171772145,+                "mean": -8.816083656685465e-16,+                "mean_glo": 0.052441482989564796,+                "rms": 0.15514071696819554,+                "rms_glo": 0.08805752144809878,+                "rmsc": 0.5643263802488628,+                "rmsc_glo": 0.8097655580436857,+                "stdv_pc": 0.17712783978509353,+                "stdv_pc_ratio_to_obs": 1.1629840165020278               },               "eof1": {-                "bias": 0.01766399817563257,-                "bias_glo": -0.08198719040105107,-                "cor": 0.17739320371160902,-                "cor_glo": 0.16361357924752973,-                "frac": 0.2065714782954043,-                "mean": -4.6370384306442534e-17,-                "mean_glo": -0.03476330357905301,-                "rms": 0.40216857637704967,-                "rms_glo": 0.18843905043090356,-                "rmsc": 1.2913210611475165,-                "rmsc_glo": 1.3202434076612108,-                "stdv_pc": 0.3114754004535793,-                "stdv_pc_ratio_to_obs": 2.0450817483044013,-                "tcor_cbf_vs_eof_pc": 0.2923235588563546+                "bias": 0.017663992835352523,+                "bias_glo": -0.0819871912659038,+                "cor": 0.1757132931504005,+                "cor_glo": 0.15798219634863175,+                "frac": 0.20657147829540423,+                "mean": -4.522825661416562e-17,+                "mean_glo": -0.03476330357905302,+                "rms": 0.40216859106100056,+                "rms_glo": 0.18843905377395873,+                "rmsc": 1.2839678154785037,+                "rmsc_glo": 1.2977040051877597,+                "stdv_pc": 0.31147540045357885,+                "stdv_pc_ratio_to_obs": 2.0450817483043995,+                "tcor_cbf_vs_eof_pc": 0.29232350613463               },               "eof2": {-                "bias": 0.0019594743225365436,-                "bias_glo": 0.014915900903728355,-                "cor": 0.6879325378821781,-                "cor_glo": 0.600491921738993,-                "frac": 0.1055681418378,-                "mean": -1.0557828387407753e-15,-                "mean_glo": 0.06201285416857965,-                "rms": 0.20804740302381156,-                "rms_glo": 0.09836157249432219,-                "rmsc": 0.8079299538499005,-                "rmsc_glo": 0.9303128488180662,-                "stdv_pc": 0.22266656671242888,-                "stdv_pc_ratio_to_obs": 1.4619816874079559,-                "tcor_cbf_vs_eof_pc": 0.8269339791917257+                "bias": 0.0019594933317660965,+                "bias_glo": 0.014915903089132931,+                "cor": 0.6783561551600842,+                "cor_glo": 0.5813943154456755,+                "frac": 0.10556814183779989,+                "mean": -1.0617219027406153e-15,+                "mean_glo": 0.062012854168579615,+                "rms": 0.20804738980410814,+                "rms_glo": 0.09836156930940422,+                "rmsc": 0.8020521538360724,+                "rmsc_glo": 0.9149925409121191,+                "stdv_pc": 0.2226665667124285,+                "stdv_pc_ratio_to_obs": 1.461981687407954,+                "tcor_cbf_vs_eof_pc": 0.8269339838869865               }             }           }
NetCDF

NPGO_ts_EOF1_monthly_cmip7_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 04:35:32 ;+ 	:creation_date = 2026-09-04 02:06:03 ;  	: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 = CMIP7 ACCESS-ESM1-5 (r1i1p1f1), EOF1 ;  }
variableshapeminmaxmean nanmax abs diffmax rel diffcells differ
eof 145x192 -> 145x192 -1.07763 -> -1.07763 2.48683 -> 2.48683 -0.0285158 -> -0.0285158 9,278 -> 9,278 1.9984e-15 8.03595e-16 17,619
frac scalar -> scalar 0.206571 -> 0.206571 0.206571 -> 0.206571 0.206571 -> 0.206571 0 -> 0 5.55112e-17 2.68726e-16 1
intercept 145x192 -> 145x192 -0.00110203 -> -0.00110203 0.000643799 -> 0.000643799 1.12699e-05 -> 1.12699e-05 9,278 -> 9,278 1.05216e-15 9.54754e-13 18,104
mode scalar -> scalar 0 -> 0 0 -> 0 0 -> 0 0 -> 0 0 0 0
pc 1272 -> 1272 -0.942129 -> -0.942129 0.841836 -> 0.841836 -6.98253e-18 -> 8.37904e-18 0 -> 0 3.66374e-15 3.88878e-15 1,248
slope 145x192 -> 145x192 -7.98374 -> -7.98374 3.46012 -> 3.46012 0.0915145 -> 0.0915145 9,278 -> 9,278 1.59872e-14 2.00247e-15 18,271

NPGO_ts_EOF2_monthly_cmip7_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 04:35:42 ;+ 	:creation_date = 2026-09-04 02:06:19 ;  	: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 = CMIP7 ACCESS-ESM1-5 (r1i1p1f1), EOF2 ;  }
variableshapeminmaxmean nanmax abs diffmax rel diffcells differ
eof 145x192 -> 145x192 -1.31403 -> -1.31403 0.504907 -> 0.504907 0.0660624 -> 0.0660624 9,278 -> 9,278 3.33067e-15 2.5347e-15 17,460
frac scalar -> scalar 0.105568 -> 0.105568 0.105568 -> 0.105568 0.105568 -> 0.105568 0 -> 0 1.11022e-16 1.05166e-15 1
intercept 145x192 -> 145x192 -0.00110203 -> -0.00110203 0.000643799 -> 0.000643799 1.12699e-05 -> 1.12699e-05 9,278 -> 9,278 7.72006e-16 7.00533e-13 18,049
mode scalar -> scalar 1 -> 1 1 -> 1 1 -> 1 0 -> 0 0 0 0
pc 1272 -> 1272 -0.777922 -> -0.777922 0.622994 -> 0.622994 -4.18952e-18 -> 5.93515e-18 0 -> 0 2.66454e-15 3.4252e-15 1,255
slope 145x192 -> 145x192 -2.26758 -> -2.26758 5.90167 -> 5.90167 -0.296738 -> -0.296738 9,278 -> 9,278 9.99201e-15 1.69308e-15 18,388

NPGO_ts_EOF2_monthly_cmip7_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 04:34:13 ;+ 	:creation_date = 2026-09-04 02:05:32 ;  	: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 = CMIP7 ACCESS-ESM1-5 (r1i1p1f1), CBF ;  }
variableshapeminmaxmean nanmax abs diffmax rel diffcells differ
eof 145x192 -> 145x192 -0.580948 -> -0.580948 0.648124 -> 0.648124 0.0563513 -> 0.0563513 9,278 -> 9,278 2.06398e-07 3.18454e-07 18,562
frac scalar -> scalar 0.0998041 -> 0.0998041 0.0998041 -> 0.0998041 0.0998041 -> 0.0998041 0 -> 0 4.9027e-09 4.91232e-08 1
intercept 145x192 -> 145x192 -0.0010778 -> -0.0010778 0.000647221 -> 0.000647221 1.72801e-05 -> 1.72801e-05 9,278 -> 9,278 2.85995e-11 2.6535e-08 18,562
mode scalar -> scalar 1 -> 1 1 -> 1 1 -> 1 0 -> 0 0 0 0
pc 1272 -> 1272 -0.721616 -> -0.721616 0.491012 -> 0.491012 -1.88973e-05 -> -1.88973e-05 0 -> 0 9.67473e-08 1.3407e-07 1,272
slope 145x192 -> 145x192 -3.27981 -> -3.27981 3.65811 -> 3.6581 0.318041 -> 0.318042 9,278 -> 9,278 1.11125e-06 3.03779e-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 04:33:46 ;+ 	:creation_date = 2026-09-04 02:04:27 ;  	: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