pmp/enso_proc/cmip6
Committed artefacts changed
diagnostic.jsonoutput.json
Text
ENSO_proc_ACCESS-ESM1-5_historical_r1i1p1f1_cmec.json
changed
8,486 B -> 8,490 B (+4)
f35827359b90 -> 6a2cc0bf4d0a
old new
--- old+++ new@@ -113,10 +113,10 @@ "r1i1p1f1": { "BiasSstLonRmse": { "HadISST": 0.5024880791625215,- "Tropflux": 0.586118310189678+ "Tropflux": 0.5861183101896779 }, "BiasTauxLonRmse": {- "Tropflux": 7.546285261624673+ "Tropflux": 7.546285266116647 }, "EnsoAmpl": { "HadISST": 4.523475733392182,@@ -131,8 +131,8 @@ "Tropflux": 45.59915341621493 }, "EnsoSstLonRmse": {- "HadISST": 0.20416428201082373,- "Tropflux": 0.20532581809234307+ "HadISST": 0.20416428201082376,+ "Tropflux": 0.2053258180923431 }, "EnsoSstSkew": { "HadISST": 217.13237922904418,@@ -142,11 +142,11 @@ } }, "provenance": {- "commandLine": "/data/projects/climate-ref/worktrees/pmp-fix/packages/climate-ref-pmp/src/climate_ref_pmp/drivers/enso_driver.py --metrics_collection ENSO_proc --experiment_id historical --input_json_path <OUTPUT_DIR>/input_ENSO_proc_ACCESS-ESM1-5_historical_r1i1p1f1.json --output_directory <OUTPUT_DIR>",+ "commandLine": "/data/projects/climate-ref/worktrees/pmp-remint/packages/climate-ref-pmp/src/climate_ref_pmp/drivers/enso_driver.py --metrics_collection ENSO_proc --experiment_id historical --input_json_path <OUTPUT_DIR>/input_ENSO_proc_ACCESS-ESM1-5_historical_r1i1p1f1.json --output_directory <OUTPUT_DIR>", "conda": { "Platform": "linux-64" },- "date": "2026-07-12 03:48:10",+ "date": "2026-09-04 02:05:46", "openGL": { "GLX": { "client": {},@@ -155,7 +155,7 @@ }, "osAccess": false, "packages": {- "PMP": "3.9.2",+ "PMP": "4.2.0", "PMPObs": "See 'References' key below, for detailed obs provenance information.", "cdat_info": "8.2.1", "cdp": "1.7.0",@@ -171,7 +171,7 @@ "platform": { "Name": "gus", "OS": "Linux",- "Version": "6.12.88+deb13-amd64"+ "Version": "6.12.101+deb13-amd64" }, "userId": "jared" }
diagnostic.json
changed
3,169 B -> 3,173 B (+4)
eb364e73f2d9 -> 4639697bca19
old new
--- old+++ new@@ -47,11 +47,11 @@ "DISCLAIMER": null, "NOTES": null, "PROVENANCE": {- "commandLine": "/data/projects/climate-ref/worktrees/pmp-fix/packages/climate-ref-pmp/src/climate_ref_pmp/drivers/enso_driver.py --metrics_collection ENSO_proc --experiment_id historical --input_json_path <OUTPUT_DIR>/input_ENSO_proc_ACCESS-ESM1-5_historical_r1i1p1f1.json --output_directory <OUTPUT_DIR>",+ "commandLine": "/data/projects/climate-ref/worktrees/pmp-remint/packages/climate-ref-pmp/src/climate_ref_pmp/drivers/enso_driver.py --metrics_collection ENSO_proc --experiment_id historical --input_json_path <OUTPUT_DIR>/input_ENSO_proc_ACCESS-ESM1-5_historical_r1i1p1f1.json --output_directory <OUTPUT_DIR>", "conda": { "Platform": "linux-64" },- "date": "2026-07-12 03:48:10",+ "date": "2026-09-04 02:05:46", "openGL": { "GLX": { "client": {},@@ -60,7 +60,7 @@ }, "osAccess": false, "packages": {- "PMP": "3.9.2",+ "PMP": "4.2.0", "PMPObs": "See 'References' key below, for detailed obs provenance information.", "cdat_info": "8.2.1", "cdp": "1.7.0",@@ -76,7 +76,7 @@ "platform": { "Name": "gus", "OS": "Linux",- "Version": "6.12.88+deb13-amd64"+ "Version": "6.12.101+deb13-amd64" }, "userId": "jared" },@@ -89,10 +89,10 @@ "historical": { "BiasSstLonRmse": { "HadISST": 0.5024880791625215,- "Tropflux": 0.586118310189678+ "Tropflux": 0.5861183101896779 }, "BiasTauxLonRmse": {- "Tropflux": 7.546285261624673+ "Tropflux": 7.546285266116647 }, "EnsoAmpl": { "HadISST": 4.523475733392182,@@ -107,8 +107,8 @@ "Tropflux": 45.59915341621493 }, "EnsoSstLonRmse": {- "HadISST": 0.20416428201082373,- "Tropflux": 0.20532581809234307+ "HadISST": 0.20416428201082376,+ "Tropflux": 0.2053258180923431 }, "EnsoSstSkew": { "HadISST": 217.13237922904418,
output.json
changed
10,371 B -> 10,375 B (+4)
8d22f59cfa1c -> caf93adefa1e
old new
--- old+++ new@@ -188,11 +188,11 @@ } }, "provenance": {- "commandLine": "/data/projects/climate-ref/worktrees/pmp-fix/packages/climate-ref-pmp/src/climate_ref_pmp/drivers/enso_driver.py --metrics_collection ENSO_proc --experiment_id historical --input_json_path <OUTPUT_DIR>/input_ENSO_proc_ACCESS-ESM1-5_historical_r1i1p1f1.json --output_directory <OUTPUT_DIR>",+ "commandLine": "/data/projects/climate-ref/worktrees/pmp-remint/packages/climate-ref-pmp/src/climate_ref_pmp/drivers/enso_driver.py --metrics_collection ENSO_proc --experiment_id historical --input_json_path <OUTPUT_DIR>/input_ENSO_proc_ACCESS-ESM1-5_historical_r1i1p1f1.json --output_directory <OUTPUT_DIR>", "conda": { "Platform": "linux-64" },- "date": "2026-07-12 03:48:10",+ "date": "2026-09-04 02:05:46", "environment": {}, "log": "cmec_output.log", "modeldata": [],@@ -205,7 +205,7 @@ }, "osAccess": false, "packages": {- "PMP": "3.9.2",+ "PMP": "4.2.0", "PMPObs": "See 'References' key below, for detailed obs provenance information.", "cdat_info": "8.2.1", "cdp": "1.7.0",@@ -221,7 +221,7 @@ "platform": { "Name": "gus", "OS": "Linux",- "Version": "6.12.88+deb13-amd64"+ "Version": "6.12.101+deb13-amd64" }, "userId": "jared" }
NetCDF
ENSO_proc_ACCESS-ESM1-5_historical_r1i1p1f1_BiasSstLonRmse.nc
changed
98,836 B -> 98,836 B (+0)
old new
Header
xarray.Dataset { dimensions: longitude = 120 ; bound = 2 ; latitude = 30 ; longitude_a = 165 ; variables: float64 bounds_longitude(longitude, bound) ; float32 sst_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; sst_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; sst_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sst_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sst_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sst_lon__HadISST(longitude) ; sst_lon__HadISST:units = C ; sst_lon__HadISST:number_of_years_used = 149 ; sst_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sst_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float64 bounds_latitude(latitude, bound) ; float64 bounds_longitude_a(longitude_a, bound) ; float32 sst_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; sst_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; sst_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sst_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sst_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sst_map__HadISST(latitude, longitude_a) ; sst_map__HadISST:units = C ; sst_map__HadISST:number_of_years_used = 149 ; sst_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sst_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sst_lon__Tropflux(longitude) ; sst_lon__Tropflux:units = C ; sst_lon__Tropflux:number_of_years_used = 39 ; sst_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sst_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sst_map__Tropflux(latitude, longitude_a) ; sst_map__Tropflux:units = C ; sst_map__Tropflux:number_of_years_used = 39 ; sst_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sst_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float64 longitude(longitude) ; longitude:bounds = bounds_longitude ; longitude:axis = X ; longitude:modulo = 360.0 ; longitude:topology = circular ; longitude:units = degrees_east ; longitude:realtopology = linear ; float64 latitude(latitude) ; latitude:bounds = bounds_latitude ; latitude:axis = Y ; latitude:units = degrees_north ; float64 longitude_a(longitude_a) ; longitude_a:bounds = bounds_longitude_a ; longitude_a:axis = X ; longitude_a:modulo = 360.0 ; longitude_a:topology = circular ; longitude_a:units = degrees_east ; // global attributes: :frequency = monthly ; :metric_method = Zonal root mean square error of equatorial_pacific sst, time series are linearly detrended, observations and model regridded to generic_1x1deg ; :metric_name = sst Zonal RMSE ; :metric_reference = Using CDAT regridding and rms (uncentered and biased) calculation ; :metric_value_HadISST = 0.5024880791625215 ;- :metric_value_Tropflux = 0.586118310189678 ;+ :metric_value_Tropflux = 0.5861183101896779 ; }
old
xarray.Dataset {dimensions: longitude = 120 ; bound = 2 ; latitude = 30 ; longitude_a = 165 ;variables: float64 bounds_longitude(longitude, bound) ; float32 sst_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; sst_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; sst_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sst_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sst_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sst_lon__HadISST(longitude) ; sst_lon__HadISST:units = C ; sst_lon__HadISST:number_of_years_used = 149 ; sst_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sst_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float64 bounds_latitude(latitude, bound) ; float64 bounds_longitude_a(longitude_a, bound) ; float32 sst_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; sst_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; sst_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sst_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sst_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sst_map__HadISST(latitude, longitude_a) ; sst_map__HadISST:units = C ; sst_map__HadISST:number_of_years_used = 149 ; sst_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sst_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sst_lon__Tropflux(longitude) ; sst_lon__Tropflux:units = C ; sst_lon__Tropflux:number_of_years_used = 39 ; sst_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sst_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sst_map__Tropflux(latitude, longitude_a) ; sst_map__Tropflux:units = C ; sst_map__Tropflux:number_of_years_used = 39 ; sst_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sst_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float64 longitude(longitude) ; longitude:bounds = bounds_longitude ; longitude:axis = X ; longitude:modulo = 360.0 ; longitude:topology = circular ; longitude:units = degrees_east ; longitude:realtopology = linear ; float64 latitude(latitude) ; latitude:bounds = bounds_latitude ; latitude:axis = Y ; latitude:units = degrees_north ; float64 longitude_a(longitude_a) ; longitude_a:bounds = bounds_longitude_a ; longitude_a:axis = X ; longitude_a:modulo = 360.0 ; longitude_a:topology = circular ; longitude_a:units = degrees_east ;// global attributes: :frequency = monthly ; :metric_method = Zonal root mean square error of equatorial_pacific sst, time series are linearly detrended, observations and model regridded to generic_1x1deg ; :metric_name = sst Zonal RMSE ; :metric_reference = Using CDAT regridding and rms (uncentered and biased) calculation ; :metric_value_HadISST = 0.5024880791625215 ; :metric_value_Tropflux = 0.586118310189678 ;}
new
xarray.Dataset {dimensions: longitude = 120 ; bound = 2 ; latitude = 30 ; longitude_a = 165 ;variables: float64 bounds_longitude(longitude, bound) ; float32 sst_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; sst_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; sst_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sst_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sst_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sst_lon__HadISST(longitude) ; sst_lon__HadISST:units = C ; sst_lon__HadISST:number_of_years_used = 149 ; sst_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sst_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float64 bounds_latitude(latitude, bound) ; float64 bounds_longitude_a(longitude_a, bound) ; float32 sst_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; sst_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; sst_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sst_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sst_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sst_map__HadISST(latitude, longitude_a) ; sst_map__HadISST:units = C ; sst_map__HadISST:number_of_years_used = 149 ; sst_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sst_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sst_lon__Tropflux(longitude) ; sst_lon__Tropflux:units = C ; sst_lon__Tropflux:number_of_years_used = 39 ; sst_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sst_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sst_map__Tropflux(latitude, longitude_a) ; sst_map__Tropflux:units = C ; sst_map__Tropflux:number_of_years_used = 39 ; sst_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sst_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float64 longitude(longitude) ; longitude:bounds = bounds_longitude ; longitude:axis = X ; longitude:modulo = 360.0 ; longitude:topology = circular ; longitude:units = degrees_east ; longitude:realtopology = linear ; float64 latitude(latitude) ; latitude:bounds = bounds_latitude ; latitude:axis = Y ; latitude:units = degrees_north ; float64 longitude_a(longitude_a) ; longitude_a:bounds = bounds_longitude_a ; longitude_a:axis = X ; longitude_a:modulo = 360.0 ; longitude_a:topology = circular ; longitude_a:units = degrees_east ;// global attributes: :frequency = monthly ; :metric_method = Zonal root mean square error of equatorial_pacific sst, time series are linearly detrended, observations and model regridded to generic_1x1deg ; :metric_name = sst Zonal RMSE ; :metric_reference = Using CDAT regridding and rms (uncentered and biased) calculation ; :metric_value_HadISST = 0.5024880791625215 ; :metric_value_Tropflux = 0.5861183101896779 ;}
| variable | shape | min | max | mean | nan | max abs diff | max rel diff | cells differ |
|---|---|---|---|---|---|---|---|---|
bounds_latitude |
30x2 -> 30x2 | -15 -> -15 | 15 -> 15 | 0 -> 0 | 0 -> 0 | 0 | 0 | 0 |
bounds_longitude |
120x2 -> 120x2 | 150 -> 150 | 270 -> 270 | 210 -> 210 | 0 -> 0 | 0 | 0 | 0 |
bounds_longitude_a |
165x2 -> 165x2 | 120 -> 120 | 285 -> 285 | 202.5 -> 202.5 | 0 -> 0 | 0 | 0 | 0 |
sst_lon__ACCESS-ESM1-5_r1i1p1f1 |
120 -> 120 | 25.4405 -> 25.4405 | 29.2677 -> 29.2677 | 27.0527 -> 27.0527 | 0 -> 0 | 0 | 0 | 0 |
sst_lon__HadISST |
120 -> 120 | 24.8299 -> 24.8299 | 29.322 -> 29.322 | 27.1161 -> 27.1161 | 0 -> 0 | 0 | 0 | 0 |
sst_lon__Tropflux |
120 -> 120 | 25.0779 -> 25.0779 | 29.6691 -> 29.6691 | 27.4055 -> 27.4055 | 0 -> 0 | 0 | 0 | 0 |
sst_map__ACCESS-ESM1-5_r1i1p1f1 |
30x165 -> 30x165 | 23.1396 -> 23.1396 | 1e+20 -> 1e+20 | 9.73737e+18 -> 9.73737e+18 | 0 -> 0 | 0 | 0 | 0 |
sst_map__HadISST |
30x165 -> 30x165 | 19.5169 -> 19.5169 | 1e+20 -> 1e+20 | 9.73737e+18 -> 9.73737e+18 | 0 -> 0 | 0 | 0 | 0 |
sst_map__Tropflux |
30x165 -> 30x165 | 19.924 -> 19.924 | 1e+20 -> 1e+20 | 9.73737e+18 -> 9.73737e+18 | 0 -> 0 | 0 | 0 | 0 |
ENSO_proc_ACCESS-ESM1-5_historical_r1i1p1f1_BiasTauxLonRmse.nc
changed
78,282 B -> 78,282 B (+0)
old new
Header
xarray.Dataset { dimensions: longitude = 120 ; bound = 2 ; latitude = 30 ; longitude_a = 165 ; variables: float64 bounds_longitude(longitude, bound) ; float32 taux_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; taux_lon__ACCESS-ESM1-5_r1i1p1f1:units = 1e-3 N/m2 ; taux_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; taux_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; taux_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 taux_lon__Tropflux(longitude) ; taux_lon__Tropflux:units = 1e-3 N/m2 ; taux_lon__Tropflux:number_of_years_used = 39 ; taux_lon__Tropflux:time_period = ('1979-1-16 12:0:0.0', '2017-7-16 12:0:0.0') ; taux_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float64 bounds_latitude(latitude, bound) ; float64 bounds_longitude_a(longitude_a, bound) ; float32 taux_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; taux_map__ACCESS-ESM1-5_r1i1p1f1:units = 1e-3 N/m2 ; taux_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; taux_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; taux_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 taux_map__Tropflux(latitude, longitude_a) ; taux_map__Tropflux:units = 1e-3 N/m2 ; taux_map__Tropflux:number_of_years_used = 39 ; taux_map__Tropflux:time_period = ('1979-1-16 12:0:0.0', '2017-7-16 12:0:0.0') ; taux_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float64 longitude(longitude) ; longitude:bounds = bounds_longitude ; longitude:axis = X ; longitude:modulo = 360.0 ; longitude:topology = circular ; longitude:units = degrees_east ; longitude:realtopology = linear ; float64 latitude(latitude) ; latitude:bounds = bounds_latitude ; latitude:axis = Y ; latitude:units = degrees_north ; float64 longitude_a(longitude_a) ; longitude_a:bounds = bounds_longitude_a ; longitude_a:axis = X ; longitude_a:modulo = 360.0 ; longitude_a:topology = circular ; longitude_a:units = degrees_east ; // global attributes: :frequency = monthly ; :metric_method = Zonal root mean square error of equatorial_pacific taux, time series are linearly detrended, observations and model regridded to generic_1x1deg ; :metric_name = taux Zonal RMSE ; :metric_reference = Using CDAT regridding and rms (uncentered and biased) calculation ;- :metric_value_Tropflux = 7.546285261624673 ;+ :metric_value_Tropflux = 7.546285266116647 ; }
old
xarray.Dataset {dimensions: longitude = 120 ; bound = 2 ; latitude = 30 ; longitude_a = 165 ;variables: float64 bounds_longitude(longitude, bound) ; float32 taux_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; taux_lon__ACCESS-ESM1-5_r1i1p1f1:units = 1e-3 N/m2 ; taux_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; taux_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; taux_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 taux_lon__Tropflux(longitude) ; taux_lon__Tropflux:units = 1e-3 N/m2 ; taux_lon__Tropflux:number_of_years_used = 39 ; taux_lon__Tropflux:time_period = ('1979-1-16 12:0:0.0', '2017-7-16 12:0:0.0') ; taux_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float64 bounds_latitude(latitude, bound) ; float64 bounds_longitude_a(longitude_a, bound) ; float32 taux_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; taux_map__ACCESS-ESM1-5_r1i1p1f1:units = 1e-3 N/m2 ; taux_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; taux_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; taux_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 taux_map__Tropflux(latitude, longitude_a) ; taux_map__Tropflux:units = 1e-3 N/m2 ; taux_map__Tropflux:number_of_years_used = 39 ; taux_map__Tropflux:time_period = ('1979-1-16 12:0:0.0', '2017-7-16 12:0:0.0') ; taux_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float64 longitude(longitude) ; longitude:bounds = bounds_longitude ; longitude:axis = X ; longitude:modulo = 360.0 ; longitude:topology = circular ; longitude:units = degrees_east ; longitude:realtopology = linear ; float64 latitude(latitude) ; latitude:bounds = bounds_latitude ; latitude:axis = Y ; latitude:units = degrees_north ; float64 longitude_a(longitude_a) ; longitude_a:bounds = bounds_longitude_a ; longitude_a:axis = X ; longitude_a:modulo = 360.0 ; longitude_a:topology = circular ; longitude_a:units = degrees_east ;// global attributes: :frequency = monthly ; :metric_method = Zonal root mean square error of equatorial_pacific taux, time series are linearly detrended, observations and model regridded to generic_1x1deg ; :metric_name = taux Zonal RMSE ; :metric_reference = Using CDAT regridding and rms (uncentered and biased) calculation ; :metric_value_Tropflux = 7.546285261624673 ;}
new
xarray.Dataset {dimensions: longitude = 120 ; bound = 2 ; latitude = 30 ; longitude_a = 165 ;variables: float64 bounds_longitude(longitude, bound) ; float32 taux_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; taux_lon__ACCESS-ESM1-5_r1i1p1f1:units = 1e-3 N/m2 ; taux_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; taux_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; taux_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 taux_lon__Tropflux(longitude) ; taux_lon__Tropflux:units = 1e-3 N/m2 ; taux_lon__Tropflux:number_of_years_used = 39 ; taux_lon__Tropflux:time_period = ('1979-1-16 12:0:0.0', '2017-7-16 12:0:0.0') ; taux_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float64 bounds_latitude(latitude, bound) ; float64 bounds_longitude_a(longitude_a, bound) ; float32 taux_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; taux_map__ACCESS-ESM1-5_r1i1p1f1:units = 1e-3 N/m2 ; taux_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; taux_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; taux_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 taux_map__Tropflux(latitude, longitude_a) ; taux_map__Tropflux:units = 1e-3 N/m2 ; taux_map__Tropflux:number_of_years_used = 39 ; taux_map__Tropflux:time_period = ('1979-1-16 12:0:0.0', '2017-7-16 12:0:0.0') ; taux_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float64 longitude(longitude) ; longitude:bounds = bounds_longitude ; longitude:axis = X ; longitude:modulo = 360.0 ; longitude:topology = circular ; longitude:units = degrees_east ; longitude:realtopology = linear ; float64 latitude(latitude) ; latitude:bounds = bounds_latitude ; latitude:axis = Y ; latitude:units = degrees_north ; float64 longitude_a(longitude_a) ; longitude_a:bounds = bounds_longitude_a ; longitude_a:axis = X ; longitude_a:modulo = 360.0 ; longitude_a:topology = circular ; longitude_a:units = degrees_east ;// global attributes: :frequency = monthly ; :metric_method = Zonal root mean square error of equatorial_pacific taux, time series are linearly detrended, observations and model regridded to generic_1x1deg ; :metric_name = taux Zonal RMSE ; :metric_reference = Using CDAT regridding and rms (uncentered and biased) calculation ; :metric_value_Tropflux = 7.546285266116647 ;}
| variable | shape | min | max | mean | nan | max abs diff | max rel diff | cells differ |
|---|---|---|---|---|---|---|---|---|
bounds_latitude |
30x2 -> 30x2 | -15 -> -15 | 15 -> 15 | 0 -> 0 | 0 -> 0 | 0 | 0 | 0 |
bounds_longitude |
120x2 -> 120x2 | 150 -> 150 | 270 -> 270 | 210 -> 210 | 0 -> 0 | 0 | 0 | 0 |
bounds_longitude_a |
165x2 -> 165x2 | 120 -> 120 | 285 -> 285 | 202.5 -> 202.5 | 0 -> 0 | 0 | 0 | 0 |
taux_lon__ACCESS-ESM1-5_r1i1p1f1 |
120 -> 120 | -53.0143 -> -53.0143 | 1e+20 -> 1e+20 | 1.66667e+18 -> 1.66667e+18 | 0 -> 0 | 1.90735e-06 | 1.90735e-26 | 3 |
taux_lon__Tropflux |
120 -> 120 | -55.9699 -> -55.9699 | 1e+20 -> 1e+20 | 1.66667e+18 -> 1.66667e+18 | 0 -> 0 | 3.8147e-06 | 3.8147e-26 | 6 |
taux_map__ACCESS-ESM1-5_r1i1p1f1 |
30x165 -> 30x165 | -174.45 -> -174.45 | 1e+20 -> 1e+20 | 1.03838e+19 -> 1.03838e+19 | 0 -> 0 | 1.52588e-05 | 1.52588e-25 | 188 |
taux_map__Tropflux |
30x165 -> 30x165 | -105.186 -> -105.186 | 1e+20 -> 1e+20 | 1.03838e+19 -> 1.03838e+19 | 0 -> 0 | 3.8147e-05 | 3.8147e-25 | 157 |
ENSO_proc_ACCESS-ESM1-5_historical_r1i1p1f1_EnsoSeasonality.nc
changed
221,685 B -> 221,685 B (+0)
old new
Header
xarray.Dataset { dimensions: months = 12 ; bound = 2 ; longitude = 120 ; latitude = 30 ; longitude_a = 165 ; variables: float64 bounds_months(months, bound) ; float32 sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1(months) ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:description = monthly standard deviation of nino3.4 sstA ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:diagnostic_value = 1.1211679994386319 ;- sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:diagnostic_value_error = 0.17483132246979302 ;+ sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:diagnostic_value_error = 0.17483132246979305 ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float64 bounds_longitude(longitude, bound) ; float32 sstStd_hov__ACCESS-ESM1-5_r1i1p1f1(months, longitude) ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:description = zonal monthly standard deviation of equatorial_pacific sstA ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:description = zonal standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:description = zonal standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float64 bounds_latitude(latitude, bound) ; float64 bounds_longitude_a(longitude_a, bound) ; float32 sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:description = standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:description = standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sstStd_monthly__HadISST(months) ; sstStd_monthly__HadISST:diagnostic_value_error = 0.2735312592114545 ; sstStd_monthly__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_monthly__HadISST:diagnostic_value = 1.6666267556930237 ; sstStd_monthly__HadISST:missing_value = 1.0000000200408773e+20 ; sstStd_monthly__HadISST:units = C ; sstStd_monthly__HadISST:number_of_years_used = 149 ; sstStd_monthly__HadISST:description = monthly standard deviation of nino3.4 sstA ; float32 sstStd_hov__HadISST(months, longitude) ; sstStd_hov__HadISST:units = C ; sstStd_hov__HadISST:number_of_years_used = 149 ; sstStd_hov__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_hov__HadISST:description = zonal monthly standard deviation of equatorial_pacific sstA ; sstStd_hov__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_lon__HadISST(longitude) ; sstStd_NDJ_lon__HadISST:units = C ; sstStd_NDJ_lon__HadISST:number_of_years_used = 149 ; sstStd_NDJ_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_NDJ_lon__HadISST:description = zonal standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_lon__HadISST(longitude) ; sstStd_MAM_lon__HadISST:units = C ; sstStd_MAM_lon__HadISST:number_of_years_used = 149 ; sstStd_MAM_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_MAM_lon__HadISST:description = zonal standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_map__HadISST(latitude, longitude_a) ; sstStd_NDJ_map__HadISST:units = C ; sstStd_NDJ_map__HadISST:number_of_years_used = 149 ; sstStd_NDJ_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_NDJ_map__HadISST:description = standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_map__HadISST(latitude, longitude_a) ; sstStd_MAM_map__HadISST:units = C ; sstStd_MAM_map__HadISST:number_of_years_used = 149 ; sstStd_MAM_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_MAM_map__HadISST:description = standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_monthly__Tropflux(months) ; sstStd_monthly__Tropflux:diagnostic_value_error = 0.6643426541057592 ; sstStd_monthly__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_monthly__Tropflux:diagnostic_value = 2.060938514462037 ; sstStd_monthly__Tropflux:missing_value = 1.0000000200408773e+20 ; sstStd_monthly__Tropflux:units = C ; sstStd_monthly__Tropflux:number_of_years_used = 39 ; sstStd_monthly__Tropflux:description = monthly standard deviation of nino3.4 sstA ; float32 sstStd_hov__Tropflux(months, longitude) ; sstStd_hov__Tropflux:units = C ; sstStd_hov__Tropflux:number_of_years_used = 39 ; sstStd_hov__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_hov__Tropflux:description = zonal monthly standard deviation of equatorial_pacific sstA ; sstStd_hov__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_lon__Tropflux(longitude) ; sstStd_NDJ_lon__Tropflux:units = C ; sstStd_NDJ_lon__Tropflux:number_of_years_used = 39 ; sstStd_NDJ_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_NDJ_lon__Tropflux:description = zonal standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_lon__Tropflux(longitude) ; sstStd_MAM_lon__Tropflux:units = C ; sstStd_MAM_lon__Tropflux:number_of_years_used = 39 ; sstStd_MAM_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_MAM_lon__Tropflux:description = zonal standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_map__Tropflux(latitude, longitude_a) ; sstStd_NDJ_map__Tropflux:units = C ; sstStd_NDJ_map__Tropflux:number_of_years_used = 39 ; sstStd_NDJ_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_NDJ_map__Tropflux:description = standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_map__Tropflux(latitude, longitude_a) ; sstStd_MAM_map__Tropflux:units = C ; sstStd_MAM_map__Tropflux:number_of_years_used = 39 ; sstStd_MAM_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_MAM_map__Tropflux:description = standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_map__Tropflux:missing_value = 1.0000000200408773e+20 ; int32 months(months) ; months:bounds = bounds_months ; float64 longitude(longitude) ; longitude:bounds = bounds_longitude ; longitude:axis = X ; longitude:modulo = 360.0 ; longitude:topology = circular ; longitude:units = degrees_east ; longitude:realtopology = linear ; float64 latitude(latitude) ; latitude:bounds = bounds_latitude ; latitude:axis = Y ; latitude:units = degrees_north ; float64 longitude_a(longitude_a) ; longitude_a:bounds = bounds_longitude_a ; longitude_a:axis = X ; longitude_a:modulo = 360.0 ; longitude_a:topology = circular ; longitude_a:units = degrees_east ; // global attributes: :frequency = monthly ; :metric_method = Ratio between NDJ and MAM standard deviation nino3.4 sstA, time series are linearly detrended ; :metric_name = ENSO seasonality ; :metric_reference = Using CDAT std dev calculation ; }
old
xarray.Dataset {dimensions: months = 12 ; bound = 2 ; longitude = 120 ; latitude = 30 ; longitude_a = 165 ;variables: float64 bounds_months(months, bound) ; float32 sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1(months) ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:description = monthly standard deviation of nino3.4 sstA ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:diagnostic_value = 1.1211679994386319 ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:diagnostic_value_error = 0.17483132246979302 ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float64 bounds_longitude(longitude, bound) ; float32 sstStd_hov__ACCESS-ESM1-5_r1i1p1f1(months, longitude) ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:description = zonal monthly standard deviation of equatorial_pacific sstA ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:description = zonal standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:description = zonal standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float64 bounds_latitude(latitude, bound) ; float64 bounds_longitude_a(longitude_a, bound) ; float32 sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:description = standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:description = standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sstStd_monthly__HadISST(months) ; sstStd_monthly__HadISST:diagnostic_value_error = 0.2735312592114545 ; sstStd_monthly__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_monthly__HadISST:diagnostic_value = 1.6666267556930237 ; sstStd_monthly__HadISST:missing_value = 1.0000000200408773e+20 ; sstStd_monthly__HadISST:units = C ; sstStd_monthly__HadISST:number_of_years_used = 149 ; sstStd_monthly__HadISST:description = monthly standard deviation of nino3.4 sstA ; float32 sstStd_hov__HadISST(months, longitude) ; sstStd_hov__HadISST:units = C ; sstStd_hov__HadISST:number_of_years_used = 149 ; sstStd_hov__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_hov__HadISST:description = zonal monthly standard deviation of equatorial_pacific sstA ; sstStd_hov__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_lon__HadISST(longitude) ; sstStd_NDJ_lon__HadISST:units = C ; sstStd_NDJ_lon__HadISST:number_of_years_used = 149 ; sstStd_NDJ_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_NDJ_lon__HadISST:description = zonal standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_lon__HadISST(longitude) ; sstStd_MAM_lon__HadISST:units = C ; sstStd_MAM_lon__HadISST:number_of_years_used = 149 ; sstStd_MAM_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_MAM_lon__HadISST:description = zonal standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_map__HadISST(latitude, longitude_a) ; sstStd_NDJ_map__HadISST:units = C ; sstStd_NDJ_map__HadISST:number_of_years_used = 149 ; sstStd_NDJ_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_NDJ_map__HadISST:description = standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_map__HadISST(latitude, longitude_a) ; sstStd_MAM_map__HadISST:units = C ; sstStd_MAM_map__HadISST:number_of_years_used = 149 ; sstStd_MAM_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_MAM_map__HadISST:description = standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_monthly__Tropflux(months) ; sstStd_monthly__Tropflux:diagnostic_value_error = 0.6643426541057592 ; sstStd_monthly__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_monthly__Tropflux:diagnostic_value = 2.060938514462037 ; sstStd_monthly__Tropflux:missing_value = 1.0000000200408773e+20 ; sstStd_monthly__Tropflux:units = C ; sstStd_monthly__Tropflux:number_of_years_used = 39 ; sstStd_monthly__Tropflux:description = monthly standard deviation of nino3.4 sstA ; float32 sstStd_hov__Tropflux(months, longitude) ; sstStd_hov__Tropflux:units = C ; sstStd_hov__Tropflux:number_of_years_used = 39 ; sstStd_hov__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_hov__Tropflux:description = zonal monthly standard deviation of equatorial_pacific sstA ; sstStd_hov__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_lon__Tropflux(longitude) ; sstStd_NDJ_lon__Tropflux:units = C ; sstStd_NDJ_lon__Tropflux:number_of_years_used = 39 ; sstStd_NDJ_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_NDJ_lon__Tropflux:description = zonal standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_lon__Tropflux(longitude) ; sstStd_MAM_lon__Tropflux:units = C ; sstStd_MAM_lon__Tropflux:number_of_years_used = 39 ; sstStd_MAM_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_MAM_lon__Tropflux:description = zonal standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_map__Tropflux(latitude, longitude_a) ; sstStd_NDJ_map__Tropflux:units = C ; sstStd_NDJ_map__Tropflux:number_of_years_used = 39 ; sstStd_NDJ_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_NDJ_map__Tropflux:description = standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_map__Tropflux(latitude, longitude_a) ; sstStd_MAM_map__Tropflux:units = C ; sstStd_MAM_map__Tropflux:number_of_years_used = 39 ; sstStd_MAM_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_MAM_map__Tropflux:description = standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_map__Tropflux:missing_value = 1.0000000200408773e+20 ; int32 months(months) ; months:bounds = bounds_months ; float64 longitude(longitude) ; longitude:bounds = bounds_longitude ; longitude:axis = X ; longitude:modulo = 360.0 ; longitude:topology = circular ; longitude:units = degrees_east ; longitude:realtopology = linear ; float64 latitude(latitude) ; latitude:bounds = bounds_latitude ; latitude:axis = Y ; latitude:units = degrees_north ; float64 longitude_a(longitude_a) ; longitude_a:bounds = bounds_longitude_a ; longitude_a:axis = X ; longitude_a:modulo = 360.0 ; longitude_a:topology = circular ; longitude_a:units = degrees_east ;// global attributes: :frequency = monthly ; :metric_method = Ratio between NDJ and MAM standard deviation nino3.4 sstA, time series are linearly detrended ; :metric_name = ENSO seasonality ; :metric_reference = Using CDAT std dev calculation ;}
new
xarray.Dataset {dimensions: months = 12 ; bound = 2 ; longitude = 120 ; latitude = 30 ; longitude_a = 165 ;variables: float64 bounds_months(months, bound) ; float32 sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1(months) ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:description = monthly standard deviation of nino3.4 sstA ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:diagnostic_value = 1.1211679994386319 ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:diagnostic_value_error = 0.17483132246979305 ; sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float64 bounds_longitude(longitude, bound) ; float32 sstStd_hov__ACCESS-ESM1-5_r1i1p1f1(months, longitude) ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:description = zonal monthly standard deviation of equatorial_pacific sstA ; sstStd_hov__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:description = zonal standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:description = zonal standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float64 bounds_latitude(latitude, bound) ; float64 bounds_longitude_a(longitude_a, bound) ; float32 sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:description = standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:description = standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sstStd_monthly__HadISST(months) ; sstStd_monthly__HadISST:diagnostic_value_error = 0.2735312592114545 ; sstStd_monthly__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_monthly__HadISST:diagnostic_value = 1.6666267556930237 ; sstStd_monthly__HadISST:missing_value = 1.0000000200408773e+20 ; sstStd_monthly__HadISST:units = C ; sstStd_monthly__HadISST:number_of_years_used = 149 ; sstStd_monthly__HadISST:description = monthly standard deviation of nino3.4 sstA ; float32 sstStd_hov__HadISST(months, longitude) ; sstStd_hov__HadISST:units = C ; sstStd_hov__HadISST:number_of_years_used = 149 ; sstStd_hov__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_hov__HadISST:description = zonal monthly standard deviation of equatorial_pacific sstA ; sstStd_hov__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_lon__HadISST(longitude) ; sstStd_NDJ_lon__HadISST:units = C ; sstStd_NDJ_lon__HadISST:number_of_years_used = 149 ; sstStd_NDJ_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_NDJ_lon__HadISST:description = zonal standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_lon__HadISST(longitude) ; sstStd_MAM_lon__HadISST:units = C ; sstStd_MAM_lon__HadISST:number_of_years_used = 149 ; sstStd_MAM_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_MAM_lon__HadISST:description = zonal standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_map__HadISST(latitude, longitude_a) ; sstStd_NDJ_map__HadISST:units = C ; sstStd_NDJ_map__HadISST:number_of_years_used = 149 ; sstStd_NDJ_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_NDJ_map__HadISST:description = standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_map__HadISST(latitude, longitude_a) ; sstStd_MAM_map__HadISST:units = C ; sstStd_MAM_map__HadISST:number_of_years_used = 149 ; sstStd_MAM_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sstStd_MAM_map__HadISST:description = standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sstStd_monthly__Tropflux(months) ; sstStd_monthly__Tropflux:diagnostic_value_error = 0.6643426541057592 ; sstStd_monthly__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_monthly__Tropflux:diagnostic_value = 2.060938514462037 ; sstStd_monthly__Tropflux:missing_value = 1.0000000200408773e+20 ; sstStd_monthly__Tropflux:units = C ; sstStd_monthly__Tropflux:number_of_years_used = 39 ; sstStd_monthly__Tropflux:description = monthly standard deviation of nino3.4 sstA ; float32 sstStd_hov__Tropflux(months, longitude) ; sstStd_hov__Tropflux:units = C ; sstStd_hov__Tropflux:number_of_years_used = 39 ; sstStd_hov__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_hov__Tropflux:description = zonal monthly standard deviation of equatorial_pacific sstA ; sstStd_hov__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_lon__Tropflux(longitude) ; sstStd_NDJ_lon__Tropflux:units = C ; sstStd_NDJ_lon__Tropflux:number_of_years_used = 39 ; sstStd_NDJ_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_NDJ_lon__Tropflux:description = zonal standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_lon__Tropflux(longitude) ; sstStd_MAM_lon__Tropflux:units = C ; sstStd_MAM_lon__Tropflux:number_of_years_used = 39 ; sstStd_MAM_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_MAM_lon__Tropflux:description = zonal standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sstStd_NDJ_map__Tropflux(latitude, longitude_a) ; sstStd_NDJ_map__Tropflux:units = C ; sstStd_NDJ_map__Tropflux:number_of_years_used = 39 ; sstStd_NDJ_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_NDJ_map__Tropflux:description = standard deviation of equatorial_pacific sstA (during NDJ) ; sstStd_NDJ_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sstStd_MAM_map__Tropflux(latitude, longitude_a) ; sstStd_MAM_map__Tropflux:units = C ; sstStd_MAM_map__Tropflux:number_of_years_used = 39 ; sstStd_MAM_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sstStd_MAM_map__Tropflux:description = standard deviation of equatorial_pacific sstA (during MAM) ; sstStd_MAM_map__Tropflux:missing_value = 1.0000000200408773e+20 ; int32 months(months) ; months:bounds = bounds_months ; float64 longitude(longitude) ; longitude:bounds = bounds_longitude ; longitude:axis = X ; longitude:modulo = 360.0 ; longitude:topology = circular ; longitude:units = degrees_east ; longitude:realtopology = linear ; float64 latitude(latitude) ; latitude:bounds = bounds_latitude ; latitude:axis = Y ; latitude:units = degrees_north ; float64 longitude_a(longitude_a) ; longitude_a:bounds = bounds_longitude_a ; longitude_a:axis = X ; longitude_a:modulo = 360.0 ; longitude_a:topology = circular ; longitude_a:units = degrees_east ;// global attributes: :frequency = monthly ; :metric_method = Ratio between NDJ and MAM standard deviation nino3.4 sstA, time series are linearly detrended ; :metric_name = ENSO seasonality ; :metric_reference = Using CDAT std dev calculation ;}
| variable | shape | min | max | mean | nan | max abs diff | max rel diff | cells differ |
|---|---|---|---|---|---|---|---|---|
bounds_latitude |
30x2 -> 30x2 | -15 -> -15 | 15 -> 15 | 0 -> 0 | 0 -> 0 | 0 | 0 | 0 |
bounds_longitude |
120x2 -> 120x2 | 150 -> 150 | 270 -> 270 | 210 -> 210 | 0 -> 0 | 0 | 0 | 0 |
bounds_longitude_a |
165x2 -> 165x2 | 120 -> 120 | 285 -> 285 | 202.5 -> 202.5 | 0 -> 0 | 0 | 0 | 0 |
bounds_months |
12x2 -> 12x2 | -0.5 -> -0.5 | 11.5 -> 11.5 | 5.5 -> 5.5 | 0 -> 0 | 0 | 0 | 0 |
sstStd_MAM_lon__ACCESS-ESM1-5_r1i1p1f1 |
120 -> 120 | 0.500319 -> 0.500319 | 1.31309 -> 1.31309 | 0.883894 -> 0.883894 | 0 -> 0 | 0 | 0 | 0 |
sstStd_MAM_lon__HadISST |
120 -> 120 | 0.24446 -> 0.24446 | 0.680949 -> 0.680949 | 0.549781 -> 0.549781 | 0 -> 0 | 0 | 0 | 0 |
sstStd_MAM_lon__Tropflux |
120 -> 120 | 0.285556 -> 0.285556 | 0.914303 -> 0.914303 | 0.639096 -> 0.639096 | 0 -> 0 | 0 | 0 | 0 |
sstStd_MAM_map__ACCESS-ESM1-5_r1i1p1f1 |
30x165 -> 30x165 | 0.23344 -> 0.23344 | 1e+20 -> 1e+20 | 9.41414e+18 -> 9.41414e+18 | 0 -> 0 | 0 | 0 | 0 |
sstStd_MAM_map__HadISST |
30x165 -> 30x165 | 0.175914 -> 0.175914 | 1e+20 -> 1e+20 | 5.25253e+18 -> 5.25253e+18 | 0 -> 0 | 0 | 0 | 0 |
sstStd_MAM_map__Tropflux |
30x165 -> 30x165 | 0.202402 -> 0.202402 | 1e+20 -> 1e+20 | 5.23232e+18 -> 5.23232e+18 | 0 -> 0 | 0 | 0 | 0 |
sstStd_NDJ_lon__ACCESS-ESM1-5_r1i1p1f1 |
120 -> 120 | 0.561653 -> 0.561653 | 1.11945 -> 1.11945 | 0.893892 -> 0.893892 | 0 -> 0 | 0 | 0 | 0 |
sstStd_NDJ_lon__HadISST |
120 -> 120 | 0.252564 -> 0.252564 | 1.07689 -> 1.07689 | 0.811198 -> 0.811198 | 0 -> 0 | 0 | 0 | 0 |
sstStd_NDJ_lon__Tropflux |
120 -> 120 | 0.289201 -> 0.289201 | 1.32578 -> 1.32578 | 1.03578 -> 1.03578 | 0 -> 0 | 0 | 0 | 0 |
sstStd_NDJ_map__ACCESS-ESM1-5_r1i1p1f1 |
30x165 -> 30x165 | 0.220665 -> 0.220665 | 1e+20 -> 1e+20 | 9.41414e+18 -> 9.41414e+18 | 0 -> 0 | 0 | 0 | 0 |
sstStd_NDJ_map__HadISST |
30x165 -> 30x165 | 0.162452 -> 0.162452 | 1e+20 -> 1e+20 | 5.25253e+18 -> 5.25253e+18 | 0 -> 0 | 0 | 0 | 0 |
sstStd_NDJ_map__Tropflux |
30x165 -> 30x165 | 0.183826 -> 0.183826 | 1e+20 -> 1e+20 | 5.23232e+18 -> 5.23232e+18 | 0 -> 0 | 0 | 0 | 0 |
sstStd_hov__ACCESS-ESM1-5_r1i1p1f1 |
12x120 -> 12x120 | 0.477718 -> 0.477718 | 1.67801 -> 1.67801 | 0.919457 -> 0.919457 | 0 -> 0 | 0 | 0 | 0 |
sstStd_hov__HadISST |
12x120 -> 12x120 | 0.25905 -> 0.25905 | 1.16177 -> 1.16177 | 0.700444 -> 0.700444 | 0 -> 0 | 0 | 0 | 0 |
sstStd_hov__Tropflux |
12x120 -> 12x120 | 0.284859 -> 0.284859 | 1.4352 -> 1.4352 | 0.844702 -> 0.844702 | 0 -> 0 | 0 | 0 | 0 |
sstStd_monthly__ACCESS-ESM1-5_r1i1p1f1 |
12 -> 12 | 0.645471 -> 0.645471 | 0.980674 -> 0.980674 | 0.794838 -> 0.794838 | 0 -> 0 | 0 | 0 | 0 |
sstStd_monthly__HadISST |
12 -> 12 | 0.551011 -> 0.551011 | 0.99417 -> 0.99417 | 0.751772 -> 0.751772 | 0 -> 0 | 0 | 0 | 0 |
sstStd_monthly__Tropflux |
12 -> 12 | 0.575918 -> 0.575918 | 1.281 -> 1.281 | 0.881104 -> 0.881104 | 0 -> 0 | 0 | 0 | 0 |
ENSO_proc_ACCESS-ESM1-5_historical_r1i1p1f1_EnsoSstLonRmse.nc
changed
248,969 B -> 248,969 B (+0)
old new
Header
xarray.Dataset { dimensions: longitude = 120 ; bound = 2 ; latitude = 30 ; longitude_a = 165 ; variables: float64 bounds_longitude(longitude, bound) ; float32 sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:units = C/C ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:description = nino3.4 SSTA during DEC regressed against equatorial_pacific SSTA ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sst_against_sst_lon__HadISST(longitude) ; sst_against_sst_lon__HadISST:units = C/C ; sst_against_sst_lon__HadISST:number_of_years_used = 149 ; sst_against_sst_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sst_against_sst_lon__HadISST:description = nino3.4 SSTA during DEC regressed against equatorial_pacific SSTA ; sst_against_sst_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float64 bounds_latitude(latitude, bound) ; float64 bounds_longitude_a(longitude_a, bound) ; float32 sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:units = C/C ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:description = nino3.4 SSTA during DEC regressed against tropical Pacific SSTA ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sst_against_sst_map__HadISST(latitude, longitude_a) ; sst_against_sst_map__HadISST:units = C/C ; sst_against_sst_map__HadISST:number_of_years_used = 149 ; sst_against_sst_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sst_against_sst_map__HadISST:description = nino3.4 SSTA during DEC regressed against tropical Pacific SSTA ; sst_against_sst_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:nina_years = [1850, 1858, 1864, 1869, 1877, 1880, 1883, 1884, 1893, 1901, 1904, 1908, 1918, 1921, 1928, 1932, 1940, 1946, 1949, 1952, 1955, 1956, 1959, 1960, 1963, 1966, 1967, 1971, 1974, 1977, 1978, 1984, 1985, 1990, 1993, 1999, 2006] ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:nina_years = [1850, 1858, 1864, 1869, 1877, 1880, 1883, 1884, 1893, 1901, 1904, 1908, 1918, 1921, 1928, 1932, 1940, 1946, 1949, 1952, 1955, 1956, 1959, 1960, 1963, 1966, 1967, 1971, 1974, 1977, 1978, 1984, 1985, 1990, 1993, 1999, 2006] ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:nino_years = [1863, 1865, 1867, 1873, 1885, 1889, 1898, 1900, 1910, 1911, 1914, 1915, 1917, 1920, 1923, 1925, 1934, 1941, 1948, 1951, 1954, 1961, 1962, 1965, 1968, 1972, 1973, 1983, 1995, 1997, 1998, 2000, 2001, 2004, 2008, 2010, 2012, 2013] ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:nino_years = [1863, 1865, 1867, 1873, 1885, 1889, 1898, 1900, 1910, 1911, 1914, 1915, 1917, 1920, 1923, 1925, 1934, 1941, 1948, 1951, 1954, 1961, 1962, 1965, 1968, 1972, 1973, 1983, 1995, 1997, 1998, 2000, 2001, 2004, 2008, 2010, 2012, 2013] ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_lon__HadISST(longitude) ; Nina_sst_lon__HadISST:units = C ; Nina_sst_lon__HadISST:number_of_years_used = 149 ; Nina_sst_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; Nina_sst_lon__HadISST:nina_years = [1874, 1879, 1886, 1889, 1892, 1893, 1909, 1916, 1933, 1942, 1949, 1950, 1954, 1955, 1964, 1970, 1971, 1973, 1975, 1983, 1984, 1988, 1995, 1998, 1999, 2000, 2005, 2007, 2008, 2010, 2011, 2017] ; Nina_sst_lon__HadISST:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_map__HadISST(latitude, longitude_a) ; Nina_sst_map__HadISST:units = C ; Nina_sst_map__HadISST:number_of_years_used = 149 ; Nina_sst_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; Nina_sst_map__HadISST:nina_years = [1874, 1879, 1886, 1889, 1892, 1893, 1909, 1916, 1933, 1942, 1949, 1950, 1954, 1955, 1964, 1970, 1971, 1973, 1975, 1983, 1984, 1988, 1995, 1998, 1999, 2000, 2005, 2007, 2008, 2010, 2011, 2017] ; Nina_sst_map__HadISST:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_lon__HadISST(longitude) ; Nino_sst_lon__HadISST:units = C ; Nino_sst_lon__HadISST:number_of_years_used = 149 ; Nino_sst_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; Nino_sst_lon__HadISST:nino_years = [1877, 1885, 1888, 1896, 1899, 1902, 1904, 1905, 1911, 1913, 1914, 1918, 1923, 1925, 1930, 1940, 1941, 1957, 1963, 1965, 1968, 1972, 1976, 1977, 1982, 1986, 1987, 1991, 1994, 1997, 2002, 2006, 2009, 2015] ; Nino_sst_lon__HadISST:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_map__HadISST(latitude, longitude_a) ; Nino_sst_map__HadISST:units = C ; Nino_sst_map__HadISST:number_of_years_used = 149 ; Nino_sst_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; Nino_sst_map__HadISST:nino_years = [1877, 1885, 1888, 1896, 1899, 1902, 1904, 1905, 1911, 1913, 1914, 1918, 1923, 1925, 1930, 1940, 1941, 1957, 1963, 1965, 1968, 1972, 1976, 1977, 1982, 1986, 1987, 1991, 1994, 1997, 2002, 2006, 2009, 2015] ; Nino_sst_map__HadISST:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sst_against_sst_lon__Tropflux(longitude) ; sst_against_sst_lon__Tropflux:units = C/C ; sst_against_sst_lon__Tropflux:number_of_years_used = 39 ; sst_against_sst_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sst_against_sst_lon__Tropflux:description = nino3.4 SSTA during DEC regressed against equatorial_pacific SSTA ; sst_against_sst_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sst_against_sst_map__Tropflux(latitude, longitude_a) ; sst_against_sst_map__Tropflux:units = C/C ; sst_against_sst_map__Tropflux:number_of_years_used = 39 ; sst_against_sst_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sst_against_sst_map__Tropflux:description = nino3.4 SSTA during DEC regressed against tropical Pacific SSTA ; sst_against_sst_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_lon__Tropflux(longitude) ; Nina_sst_lon__Tropflux:units = C ; Nina_sst_lon__Tropflux:number_of_years_used = 39 ; Nina_sst_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; Nina_sst_lon__Tropflux:nina_years = [1983, 1984, 1988, 1995, 1998, 1999, 2007, 2010, 2011] ; Nina_sst_lon__Tropflux:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_map__Tropflux(latitude, longitude_a) ; Nina_sst_map__Tropflux:units = C ; Nina_sst_map__Tropflux:number_of_years_used = 39 ; Nina_sst_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; Nina_sst_map__Tropflux:nina_years = [1983, 1984, 1988, 1995, 1998, 1999, 2007, 2010, 2011] ; Nina_sst_map__Tropflux:missing_value = 1.0000000200408773e+20 ; Nina_sst_map__Tropflux:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; float32 Nino_sst_lon__Tropflux(longitude) ; Nino_sst_lon__Tropflux:units = C ; Nino_sst_lon__Tropflux:number_of_years_used = 39 ; Nino_sst_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; Nino_sst_lon__Tropflux:nino_years = [1982, 1986, 1987, 1991, 1994, 1997, 2002, 2009, 2015] ; Nino_sst_lon__Tropflux:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_map__Tropflux(latitude, longitude_a) ; Nino_sst_map__Tropflux:units = C ; Nino_sst_map__Tropflux:number_of_years_used = 39 ; Nino_sst_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; Nino_sst_map__Tropflux:nino_years = [1982, 1986, 1987, 1991, 1994, 1997, 2002, 2009, 2015] ; Nino_sst_map__Tropflux:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float64 longitude(longitude) ; longitude:bounds = bounds_longitude ; longitude:axis = X ; longitude:modulo = 360.0 ; longitude:topology = circular ; longitude:units = degrees_east ; longitude:realtopology = linear ; float64 latitude(latitude) ; latitude:bounds = bounds_latitude ; latitude:axis = Y ; latitude:units = degrees_north ; latitude:realtopology = linear ; float64 longitude_a(longitude_a) ; longitude_a:bounds = bounds_longitude_a ; longitude_a:axis = X ; longitude_a:modulo = 360.0 ; longitude_a:topology = circular ; longitude_a:units = degrees_east ; longitude_a:realtopology = linear ; // global attributes: :frequency = monthly ; :metric_method = nino3.4 SSTA during DEC regressed against equatorial_pacific SSTA, time series are linearly detrended, smoothing using a triangle shaped window of 5 points, observations and model regridded to generic_1x1deg ; :metric_name = ENSO Zonal SSTA pattern ; :metric_reference = Using CDAT regridding and rms (uncentered and biased) calculation ;- :metric_value_HadISST = 0.20416428201082373 ;+ :metric_value_HadISST = 0.20416428201082376 ;- :metric_value_Tropflux = 0.20532581809234307 ;+ :metric_value_Tropflux = 0.2053258180923431 ; }
old
xarray.Dataset {dimensions: longitude = 120 ; bound = 2 ; latitude = 30 ; longitude_a = 165 ;variables: float64 bounds_longitude(longitude, bound) ; float32 sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:units = C/C ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:description = nino3.4 SSTA during DEC regressed against equatorial_pacific SSTA ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sst_against_sst_lon__HadISST(longitude) ; sst_against_sst_lon__HadISST:units = C/C ; sst_against_sst_lon__HadISST:number_of_years_used = 149 ; sst_against_sst_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sst_against_sst_lon__HadISST:description = nino3.4 SSTA during DEC regressed against equatorial_pacific SSTA ; sst_against_sst_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float64 bounds_latitude(latitude, bound) ; float64 bounds_longitude_a(longitude_a, bound) ; float32 sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:units = C/C ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:description = nino3.4 SSTA during DEC regressed against tropical Pacific SSTA ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sst_against_sst_map__HadISST(latitude, longitude_a) ; sst_against_sst_map__HadISST:units = C/C ; sst_against_sst_map__HadISST:number_of_years_used = 149 ; sst_against_sst_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sst_against_sst_map__HadISST:description = nino3.4 SSTA during DEC regressed against tropical Pacific SSTA ; sst_against_sst_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:nina_years = [1850, 1858, 1864, 1869, 1877, 1880, 1883, 1884, 1893, 1901, 1904, 1908, 1918, 1921, 1928, 1932, 1940, 1946, 1949, 1952, 1955, 1956, 1959, 1960, 1963, 1966, 1967, 1971, 1974, 1977, 1978, 1984, 1985, 1990, 1993, 1999, 2006] ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:nina_years = [1850, 1858, 1864, 1869, 1877, 1880, 1883, 1884, 1893, 1901, 1904, 1908, 1918, 1921, 1928, 1932, 1940, 1946, 1949, 1952, 1955, 1956, 1959, 1960, 1963, 1966, 1967, 1971, 1974, 1977, 1978, 1984, 1985, 1990, 1993, 1999, 2006] ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:nino_years = [1863, 1865, 1867, 1873, 1885, 1889, 1898, 1900, 1910, 1911, 1914, 1915, 1917, 1920, 1923, 1925, 1934, 1941, 1948, 1951, 1954, 1961, 1962, 1965, 1968, 1972, 1973, 1983, 1995, 1997, 1998, 2000, 2001, 2004, 2008, 2010, 2012, 2013] ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:nino_years = [1863, 1865, 1867, 1873, 1885, 1889, 1898, 1900, 1910, 1911, 1914, 1915, 1917, 1920, 1923, 1925, 1934, 1941, 1948, 1951, 1954, 1961, 1962, 1965, 1968, 1972, 1973, 1983, 1995, 1997, 1998, 2000, 2001, 2004, 2008, 2010, 2012, 2013] ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_lon__HadISST(longitude) ; Nina_sst_lon__HadISST:units = C ; Nina_sst_lon__HadISST:number_of_years_used = 149 ; Nina_sst_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; Nina_sst_lon__HadISST:nina_years = [1874, 1879, 1886, 1889, 1892, 1893, 1909, 1916, 1933, 1942, 1949, 1950, 1954, 1955, 1964, 1970, 1971, 1973, 1975, 1983, 1984, 1988, 1995, 1998, 1999, 2000, 2005, 2007, 2008, 2010, 2011, 2017] ; Nina_sst_lon__HadISST:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_map__HadISST(latitude, longitude_a) ; Nina_sst_map__HadISST:units = C ; Nina_sst_map__HadISST:number_of_years_used = 149 ; Nina_sst_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; Nina_sst_map__HadISST:nina_years = [1874, 1879, 1886, 1889, 1892, 1893, 1909, 1916, 1933, 1942, 1949, 1950, 1954, 1955, 1964, 1970, 1971, 1973, 1975, 1983, 1984, 1988, 1995, 1998, 1999, 2000, 2005, 2007, 2008, 2010, 2011, 2017] ; Nina_sst_map__HadISST:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_lon__HadISST(longitude) ; Nino_sst_lon__HadISST:units = C ; Nino_sst_lon__HadISST:number_of_years_used = 149 ; Nino_sst_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; Nino_sst_lon__HadISST:nino_years = [1877, 1885, 1888, 1896, 1899, 1902, 1904, 1905, 1911, 1913, 1914, 1918, 1923, 1925, 1930, 1940, 1941, 1957, 1963, 1965, 1968, 1972, 1976, 1977, 1982, 1986, 1987, 1991, 1994, 1997, 2002, 2006, 2009, 2015] ; Nino_sst_lon__HadISST:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_map__HadISST(latitude, longitude_a) ; Nino_sst_map__HadISST:units = C ; Nino_sst_map__HadISST:number_of_years_used = 149 ; Nino_sst_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; Nino_sst_map__HadISST:nino_years = [1877, 1885, 1888, 1896, 1899, 1902, 1904, 1905, 1911, 1913, 1914, 1918, 1923, 1925, 1930, 1940, 1941, 1957, 1963, 1965, 1968, 1972, 1976, 1977, 1982, 1986, 1987, 1991, 1994, 1997, 2002, 2006, 2009, 2015] ; Nino_sst_map__HadISST:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sst_against_sst_lon__Tropflux(longitude) ; sst_against_sst_lon__Tropflux:units = C/C ; sst_against_sst_lon__Tropflux:number_of_years_used = 39 ; sst_against_sst_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sst_against_sst_lon__Tropflux:description = nino3.4 SSTA during DEC regressed against equatorial_pacific SSTA ; sst_against_sst_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sst_against_sst_map__Tropflux(latitude, longitude_a) ; sst_against_sst_map__Tropflux:units = C/C ; sst_against_sst_map__Tropflux:number_of_years_used = 39 ; sst_against_sst_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sst_against_sst_map__Tropflux:description = nino3.4 SSTA during DEC regressed against tropical Pacific SSTA ; sst_against_sst_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_lon__Tropflux(longitude) ; Nina_sst_lon__Tropflux:units = C ; Nina_sst_lon__Tropflux:number_of_years_used = 39 ; Nina_sst_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; Nina_sst_lon__Tropflux:nina_years = [1983, 1984, 1988, 1995, 1998, 1999, 2007, 2010, 2011] ; Nina_sst_lon__Tropflux:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_map__Tropflux(latitude, longitude_a) ; Nina_sst_map__Tropflux:units = C ; Nina_sst_map__Tropflux:number_of_years_used = 39 ; Nina_sst_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; Nina_sst_map__Tropflux:nina_years = [1983, 1984, 1988, 1995, 1998, 1999, 2007, 2010, 2011] ; Nina_sst_map__Tropflux:missing_value = 1.0000000200408773e+20 ; Nina_sst_map__Tropflux:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; float32 Nino_sst_lon__Tropflux(longitude) ; Nino_sst_lon__Tropflux:units = C ; Nino_sst_lon__Tropflux:number_of_years_used = 39 ; Nino_sst_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; Nino_sst_lon__Tropflux:nino_years = [1982, 1986, 1987, 1991, 1994, 1997, 2002, 2009, 2015] ; Nino_sst_lon__Tropflux:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_map__Tropflux(latitude, longitude_a) ; Nino_sst_map__Tropflux:units = C ; Nino_sst_map__Tropflux:number_of_years_used = 39 ; Nino_sst_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; Nino_sst_map__Tropflux:nino_years = [1982, 1986, 1987, 1991, 1994, 1997, 2002, 2009, 2015] ; Nino_sst_map__Tropflux:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float64 longitude(longitude) ; longitude:bounds = bounds_longitude ; longitude:axis = X ; longitude:modulo = 360.0 ; longitude:topology = circular ; longitude:units = degrees_east ; longitude:realtopology = linear ; float64 latitude(latitude) ; latitude:bounds = bounds_latitude ; latitude:axis = Y ; latitude:units = degrees_north ; latitude:realtopology = linear ; float64 longitude_a(longitude_a) ; longitude_a:bounds = bounds_longitude_a ; longitude_a:axis = X ; longitude_a:modulo = 360.0 ; longitude_a:topology = circular ; longitude_a:units = degrees_east ; longitude_a:realtopology = linear ;// global attributes: :frequency = monthly ; :metric_method = nino3.4 SSTA during DEC regressed against equatorial_pacific SSTA, time series are linearly detrended, smoothing using a triangle shaped window of 5 points, observations and model regridded to generic_1x1deg ; :metric_name = ENSO Zonal SSTA pattern ; :metric_reference = Using CDAT regridding and rms (uncentered and biased) calculation ; :metric_value_HadISST = 0.20416428201082373 ; :metric_value_Tropflux = 0.20532581809234307 ;}
new
xarray.Dataset {dimensions: longitude = 120 ; bound = 2 ; latitude = 30 ; longitude_a = 165 ;variables: float64 bounds_longitude(longitude, bound) ; float32 sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:units = C/C ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:description = nino3.4 SSTA during DEC regressed against equatorial_pacific SSTA ; sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sst_against_sst_lon__HadISST(longitude) ; sst_against_sst_lon__HadISST:units = C/C ; sst_against_sst_lon__HadISST:number_of_years_used = 149 ; sst_against_sst_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sst_against_sst_lon__HadISST:description = nino3.4 SSTA during DEC regressed against equatorial_pacific SSTA ; sst_against_sst_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float64 bounds_latitude(latitude, bound) ; float64 bounds_longitude_a(longitude_a, bound) ; float32 sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:units = C/C ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:description = nino3.4 SSTA during DEC regressed against tropical Pacific SSTA ; sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 sst_against_sst_map__HadISST(latitude, longitude_a) ; sst_against_sst_map__HadISST:units = C/C ; sst_against_sst_map__HadISST:number_of_years_used = 149 ; sst_against_sst_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; sst_against_sst_map__HadISST:description = nino3.4 SSTA during DEC regressed against tropical Pacific SSTA ; sst_against_sst_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:nina_years = [1850, 1858, 1864, 1869, 1877, 1880, 1883, 1884, 1893, 1901, 1904, 1908, 1918, 1921, 1928, 1932, 1940, 1946, 1949, 1952, 1955, 1956, 1959, 1960, 1963, 1966, 1967, 1971, 1974, 1977, 1978, 1984, 1985, 1990, 1993, 1999, 2006] ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:nina_years = [1850, 1858, 1864, 1869, 1877, 1880, 1883, 1884, 1893, 1901, 1904, 1908, 1918, 1921, 1928, 1932, 1940, 1946, 1949, 1952, 1955, 1956, 1959, 1960, 1963, 1966, 1967, 1971, 1974, 1977, 1978, 1984, 1985, 1990, 1993, 1999, 2006] ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1(longitude) ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:units = C ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:nino_years = [1863, 1865, 1867, 1873, 1885, 1889, 1898, 1900, 1910, 1911, 1914, 1915, 1917, 1920, 1923, 1925, 1934, 1941, 1948, 1951, 1954, 1961, 1962, 1965, 1968, 1972, 1973, 1983, 1995, 1997, 1998, 2000, 2001, 2004, 2008, 2010, 2012, 2013] ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1(latitude, longitude_a) ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:units = C ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:number_of_years_used = 165 ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:time_period = ('1850-1-16 12:0:0.0', '2014-12-16 12:0:0.0') ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:nino_years = [1863, 1865, 1867, 1873, 1885, 1889, 1898, 1900, 1910, 1911, 1914, 1915, 1917, 1920, 1923, 1925, 1934, 1941, 1948, 1951, 1954, 1961, 1962, 1965, 1968, 1972, 1973, 1983, 1995, 1997, 1998, 2000, 2001, 2004, 2008, 2010, 2012, 2013] ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_lon__HadISST(longitude) ; Nina_sst_lon__HadISST:units = C ; Nina_sst_lon__HadISST:number_of_years_used = 149 ; Nina_sst_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; Nina_sst_lon__HadISST:nina_years = [1874, 1879, 1886, 1889, 1892, 1893, 1909, 1916, 1933, 1942, 1949, 1950, 1954, 1955, 1964, 1970, 1971, 1973, 1975, 1983, 1984, 1988, 1995, 1998, 1999, 2000, 2005, 2007, 2008, 2010, 2011, 2017] ; Nina_sst_lon__HadISST:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_map__HadISST(latitude, longitude_a) ; Nina_sst_map__HadISST:units = C ; Nina_sst_map__HadISST:number_of_years_used = 149 ; Nina_sst_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; Nina_sst_map__HadISST:nina_years = [1874, 1879, 1886, 1889, 1892, 1893, 1909, 1916, 1933, 1942, 1949, 1950, 1954, 1955, 1964, 1970, 1971, 1973, 1975, 1983, 1984, 1988, 1995, 1998, 1999, 2000, 2005, 2007, 2008, 2010, 2011, 2017] ; Nina_sst_map__HadISST:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_lon__HadISST(longitude) ; Nino_sst_lon__HadISST:units = C ; Nino_sst_lon__HadISST:number_of_years_used = 149 ; Nino_sst_lon__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; Nino_sst_lon__HadISST:nino_years = [1877, 1885, 1888, 1896, 1899, 1902, 1904, 1905, 1911, 1913, 1914, 1918, 1923, 1925, 1930, 1940, 1941, 1957, 1963, 1965, 1968, 1972, 1976, 1977, 1982, 1986, 1987, 1991, 1994, 1997, 2002, 2006, 2009, 2015] ; Nino_sst_lon__HadISST:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_lon__HadISST:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_map__HadISST(latitude, longitude_a) ; Nino_sst_map__HadISST:units = C ; Nino_sst_map__HadISST:number_of_years_used = 149 ; Nino_sst_map__HadISST:time_period = ('1870-1-16 12:0:0.0', '2018-12-16 12:0:0.0') ; Nino_sst_map__HadISST:nino_years = [1877, 1885, 1888, 1896, 1899, 1902, 1904, 1905, 1911, 1913, 1914, 1918, 1923, 1925, 1930, 1940, 1941, 1957, 1963, 1965, 1968, 1972, 1976, 1977, 1982, 1986, 1987, 1991, 1994, 1997, 2002, 2006, 2009, 2015] ; Nino_sst_map__HadISST:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_map__HadISST:missing_value = 1.0000000200408773e+20 ; float32 sst_against_sst_lon__Tropflux(longitude) ; sst_against_sst_lon__Tropflux:units = C/C ; sst_against_sst_lon__Tropflux:number_of_years_used = 39 ; sst_against_sst_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sst_against_sst_lon__Tropflux:description = nino3.4 SSTA during DEC regressed against equatorial_pacific SSTA ; sst_against_sst_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 sst_against_sst_map__Tropflux(latitude, longitude_a) ; sst_against_sst_map__Tropflux:units = C/C ; sst_against_sst_map__Tropflux:number_of_years_used = 39 ; sst_against_sst_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; sst_against_sst_map__Tropflux:description = nino3.4 SSTA during DEC regressed against tropical Pacific SSTA ; sst_against_sst_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_lon__Tropflux(longitude) ; Nina_sst_lon__Tropflux:units = C ; Nina_sst_lon__Tropflux:number_of_years_used = 39 ; Nina_sst_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; Nina_sst_lon__Tropflux:nina_years = [1983, 1984, 1988, 1995, 1998, 1999, 2007, 2010, 2011] ; Nina_sst_lon__Tropflux:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; Nina_sst_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 Nina_sst_map__Tropflux(latitude, longitude_a) ; Nina_sst_map__Tropflux:units = C ; Nina_sst_map__Tropflux:number_of_years_used = 39 ; Nina_sst_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; Nina_sst_map__Tropflux:nina_years = [1983, 1984, 1988, 1995, 1998, 1999, 2007, 2010, 2011] ; Nina_sst_map__Tropflux:missing_value = 1.0000000200408773e+20 ; Nina_sst_map__Tropflux:description = Nina events = nino3.4 SSTA < -0.75std during DEC, this is the composite of La Nina events ; float32 Nino_sst_lon__Tropflux(longitude) ; Nino_sst_lon__Tropflux:units = C ; Nino_sst_lon__Tropflux:number_of_years_used = 39 ; Nino_sst_lon__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; Nino_sst_lon__Tropflux:nino_years = [1982, 1986, 1987, 1991, 1994, 1997, 2002, 2009, 2015] ; Nino_sst_lon__Tropflux:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_lon__Tropflux:missing_value = 1.0000000200408773e+20 ; float32 Nino_sst_map__Tropflux(latitude, longitude_a) ; Nino_sst_map__Tropflux:units = C ; Nino_sst_map__Tropflux:number_of_years_used = 39 ; Nino_sst_map__Tropflux:time_period = ('1979-1-15 0:0:0.0', '2017-7-15 12:0:0.0') ; Nino_sst_map__Tropflux:nino_years = [1982, 1986, 1987, 1991, 1994, 1997, 2002, 2009, 2015] ; Nino_sst_map__Tropflux:description = Nino events = nino3.4 SSTA > 0.75std during DEC, this is the composite of El Nino events ; Nino_sst_map__Tropflux:missing_value = 1.0000000200408773e+20 ; float64 longitude(longitude) ; longitude:bounds = bounds_longitude ; longitude:axis = X ; longitude:modulo = 360.0 ; longitude:topology = circular ; longitude:units = degrees_east ; longitude:realtopology = linear ; float64 latitude(latitude) ; latitude:bounds = bounds_latitude ; latitude:axis = Y ; latitude:units = degrees_north ; latitude:realtopology = linear ; float64 longitude_a(longitude_a) ; longitude_a:bounds = bounds_longitude_a ; longitude_a:axis = X ; longitude_a:modulo = 360.0 ; longitude_a:topology = circular ; longitude_a:units = degrees_east ; longitude_a:realtopology = linear ;// global attributes: :frequency = monthly ; :metric_method = nino3.4 SSTA during DEC regressed against equatorial_pacific SSTA, time series are linearly detrended, smoothing using a triangle shaped window of 5 points, observations and model regridded to generic_1x1deg ; :metric_name = ENSO Zonal SSTA pattern ; :metric_reference = Using CDAT regridding and rms (uncentered and biased) calculation ; :metric_value_HadISST = 0.20416428201082376 ; :metric_value_Tropflux = 0.2053258180923431 ;}
| variable | shape | min | max | mean | nan | max abs diff | max rel diff | cells differ |
|---|---|---|---|---|---|---|---|---|
Nina_sst_lon__ACCESS-ESM1-5_r1i1p1f1 |
120 -> 120 | -1.48681 -> -1.48681 | -0.25426 -> -0.25426 | -1.07491 -> -1.07491 | 0 -> 0 | 0 | 0 | 0 |
Nina_sst_lon__HadISST |
120 -> 120 | -1.20895 -> -1.20895 | 0.101237 -> 0.101237 | -0.868842 -> -0.868842 | 0 -> 0 | 0 | 0 | 0 |
Nina_sst_lon__Tropflux |
120 -> 120 | -1.51991 -> -1.51991 | 0.043992 -> 0.043992 | -1.1228 -> -1.1228 | 0 -> 0 | 0 | 0 | 0 |
Nina_sst_map__ACCESS-ESM1-5_r1i1p1f1 |
30x165 -> 30x165 | -2.14731 -> -2.14731 | 1e+20 -> 1e+20 | 9.73737e+18 -> 9.73737e+18 | 0 -> 0 | 0 | 0 | 0 |
Nina_sst_map__HadISST |
30x165 -> 30x165 | -1.44184 -> -1.44184 | 1e+20 -> 1e+20 | 9.73737e+18 -> 9.73737e+18 | 0 -> 0 | 0 | 0 | 0 |
Nina_sst_map__Tropflux |
30x165 -> 30x165 | -1.85282 -> -1.85282 | 1e+20 -> 1e+20 | 9.73737e+18 -> 9.73737e+18 | 0 -> 0 | 0 | 0 | 0 |
Nino_sst_lon__ACCESS-ESM1-5_r1i1p1f1 |
120 -> 120 | 0.207346 -> 0.207346 | 1.28907 -> 1.28907 | 0.993556 -> 0.993556 | 0 -> 0 | 0 | 0 | 0 |
Nino_sst_lon__HadISST |
120 -> 120 | -0.233078 -> -0.233078 | 1.40455 -> 1.40455 | 0.966563 -> 0.966563 | 0 -> 0 | 0 | 0 | 0 |
Nino_sst_lon__Tropflux |
120 -> 120 | -0.254081 -> -0.254081 | 1.76491 -> 1.76491 | 1.15659 -> 1.15659 | 0 -> 0 | 0 | 0 | 0 |
Nino_sst_map__ACCESS-ESM1-5_r1i1p1f1 |
30x165 -> 30x165 | -0.314691 -> -0.314691 | 1e+20 -> 1e+20 | 9.73737e+18 -> 9.73737e+18 | 0 -> 0 | 0 | 0 | 0 |
Nino_sst_map__HadISST |
30x165 -> 30x165 | -0.366745 -> -0.366745 | 1e+20 -> 1e+20 | 9.73737e+18 -> 9.73737e+18 | 0 -> 0 | 0 | 0 | 0 |
Nino_sst_map__Tropflux |
30x165 -> 30x165 | -0.352922 -> -0.352922 | 1e+20 -> 1e+20 | 9.73737e+18 -> 9.73737e+18 | 0 -> 0 | 0 | 0 | 0 |
bounds_latitude |
30x2 -> 30x2 | -15 -> -15 | 15 -> 15 | 0 -> 0 | 0 -> 0 | 0 | 0 | 0 |
bounds_longitude |
120x2 -> 120x2 | 150 -> 150 | 270 -> 270 | 210 -> 210 | 0 -> 0 | 0 | 0 | 0 |
bounds_longitude_a |
165x2 -> 165x2 | 120 -> 120 | 285 -> 285 | 202.5 -> 202.5 | 0 -> 0 | 0 | 0 | 0 |
sst_against_sst_lon__ACCESS-ESM1-5_r1i1p1f1 |
120 -> 120 | 0.21176 -> 0.21176 | 1.17873 -> 1.17873 | 0.888996 -> 0.888996 | 0 -> 0 | 0 | 0 | 0 |
sst_against_sst_lon__HadISST |
120 -> 120 | -0.116641 -> -0.116641 | 1.06268 -> 1.06268 | 0.751855 -> 0.751855 | 0 -> 0 | 0 | 0 | 0 |
sst_against_sst_lon__Tropflux |
120 -> 120 | -0.101557 -> -0.101557 | 1.04599 -> 1.04599 | 0.741881 -> 0.741881 | 0 -> 0 | 0 | 0 | 0 |
sst_against_sst_map__ACCESS-ESM1-5_r1i1p1f1 |
30x165 -> 30x165 | -0.209621 -> -0.209621 | 1e+20 -> 1e+20 | 9.73737e+18 -> 9.73737e+18 | 0 -> 0 | 0 | 0 | 0 |
sst_against_sst_map__HadISST |
30x165 -> 30x165 | -0.251903 -> -0.251903 | 1e+20 -> 1e+20 | 9.73737e+18 -> 9.73737e+18 | 0 -> 0 | 0 | 0 | 0 |
sst_against_sst_map__Tropflux |
30x165 -> 30x165 | -0.221562 -> -0.221562 | 1e+20 -> 1e+20 | 9.73737e+18 -> 9.73737e+18 | 0 -> 0 | 0 | 0 | 0 |