COMPARISON STATISTICS ===================== between model list: ['AWI', 'CSIRO', 'IGCR', 'IPSL', 'IPSL.DM1', 'LLNL', 'MIT', 'MPIM', 'NCAR', 'NERSC', 'PISCES', 'PIUB', 'PRINC2', 'PRINCE', 'SOC', 'UL'] variable id: DC14 variable name: Deep water mean anthropogenic Delta-14C and data: data/KEY_C14.nc variable id: C14 variable name: Deep water mean anthropogenic Delta-14C ===================== Total space-time field: Model sigma R RMS Average --------- --------- --------- --------- --------- Data: 22.390549 -210.789383 AWI: 17.485109 0.969950 6.898709 -136.553467 CSIRO: 30.079992 0.904450 13.677307 -231.804138 IGCR: 37.330513 0.918894 18.963034 -196.255447 IPSL: 15.569856 0.855058 12.041397 -143.478546 IPSL.DM1: 14.308716 0.858700 12.356364 -199.994843 LLNL: 18.900919 0.953281 7.178891 -220.354126 MIT: 31.008751 0.905905 14.306577 -184.302322 MPIM: 34.299686 0.942856 15.163455 -189.484299 NCAR: 32.928661 0.953783 13.390176 -209.348633 NERSC: 3.987370 0.912015 18.696291 -54.572937 PIUB: 30.771149 0.961848 11.161546 -153.360229 PRINC2: 23.650589 0.931572 8.604580 -214.982895 PRINCE: 37.039616 0.903887 19.357033 -306.512878 SOC: 18.139360 0.949700 7.675051 -146.324265 UL: 27.178389 0.964635 8.202153 -150.932083 Median: 31.090858 0.902470 14.551171 -184.912735 Mean: 23.766027 0.971903 5.638971 -182.865158 Zonal annual mean: Model sigma R RMS --------- --------- --------- --------- Data: 21.820761 AWI: 16.721022 0.992213 5.629354 CSIRO: 28.564047 0.983813 8.024083 IGCR: 32.975632 0.985620 12.074585 IPSL: 14.157009 0.940047 9.713133 IPSL.DM1: 13.180062 0.923370 10.772894 LLNL: 18.064915 0.988139 4.828219 MIT: 28.938612 0.960918 9.973325 MPIM: 31.056313 0.983723 10.373331 NCAR: 30.770016 0.986760 9.895223 NERSC: 3.693112 0.957209 18.196043 PIUB: 30.771149 0.987355 9.964388 PRINC2: 22.033218 0.986744 3.575989 PRINCE: 35.444016 0.988650 14.278975 SOC: 17.274446 0.980400 5.956014 UL: 25.834131 0.984107 5.908085 Median: 27.480675 0.981871 7.346735 Mean: 23.008875 0.993494 2.819442 Zonal monthly mean: Model sigma R RMS --------- --------- --------- --------- Data: 21.820761 AWI: 16.721022 0.992213 5.629354 CSIRO: 28.564047 0.983813 8.024083 IGCR: 32.975632 0.985620 12.074585 IPSL: 14.157009 0.940047 9.713133 IPSL.DM1: 13.180062 0.923370 10.772894 LLNL: 18.064915 0.988139 4.828219 MIT: 28.938612 0.960918 9.973325 MPIM: 31.056313 0.983723 10.373331 NCAR: 30.770016 0.986760 9.895223 NERSC: 3.693112 0.957210 18.196043 PIUB: 30.771149 0.987355 9.964388 PRINC2: 22.033218 0.986744 3.575989 PRINCE: 35.444016 0.988650 14.278975 SOC: 17.274446 0.980400 5.956014 UL: 25.834131 0.984107 5.908085 Median: 27.480675 0.981871 7.346735 Mean: 23.008875 0.993494 2.819442 Monthly anomaly to zonal annual mean: Model sigma R RMS --------- --------- --------- --------- Data: 0.000000 AWI: 0.000000 0.000000 0.000000 CSIRO: 0.000000 0.000000 0.000000 IGCR: 0.000000 0.000000 0.000000 IPSL: 0.000000 0.000000 0.000000 IPSL.DM1: 0.000000 0.000000 0.000000 LLNL: 0.000000 0.000000 0.000000 MIT: 0.000000 0.000000 0.000000 MPIM: 0.000000 0.000000 0.000000 NCAR: 0.000000 0.000000 0.000000 NERSC: 0.000000 0.000000 0.000000 PIUB: 0.000000 0.000000 0.000000 PRINC2: 0.000000 0.000000 0.000000 PRINCE: 0.000000 0.000000 0.000000 SOC: 0.000000 0.000000 0.000000 UL: 0.000000 0.000000 0.000000 Median: 0.000000 0.000000 0.000000 Mean: 0.000000 0.000000 0.000000 Annual mean map: Model sigma R RMS --------- --------- --------- --------- Data: 22.390549 AWI: 17.485109 0.969950 6.898708 CSIRO: 30.079992 0.904450 13.677307 IGCR: 37.330513 0.918894 18.963034 IPSL: 15.569856 0.855058 12.041398 IPSL.DM1: 14.308715 0.858700 12.356364 LLNL: 18.900919 0.953281 7.178890 MIT: 31.008751 0.905905 14.306577 MPIM: 34.299686 0.942856 15.163456 NCAR: 32.928661 0.953783 13.390176 NERSC: 3.987370 0.912015 18.696289 PIUB: 30.771149 0.961848 11.161547 PRINC2: 23.650589 0.931572 8.604580 PRINCE: 37.039616 0.903887 19.357033 SOC: 18.139362 0.949700 7.675050 UL: 27.178391 0.964635 8.202153 Median: 31.090858 0.902470 14.551172 Mean: 23.766027 0.971903 5.638971 Monthly anomaly to annual mean map: Model sigma R RMS --------- --------- --------- --------- Data: 0.000000 AWI: 0.000000 0.000000 0.000000 CSIRO: 0.000000 0.000000 0.000000 IGCR: 0.000000 0.000000 0.000000 IPSL: 0.000000 0.000000 0.000000 IPSL.DM1: 0.000000 0.000000 0.000000 LLNL: 0.000000 0.000000 0.000000 MIT: 0.000000 0.000000 0.000000 MPIM: 0.000000 0.000000 0.000000 NCAR: 0.000000 0.000000 0.000000 NERSC: 0.000000 0.000000 0.000000 PIUB: 0.000000 0.000000 0.000000 PRINC2: 0.000000 0.000000 0.000000 PRINCE: 0.000000 0.000000 0.000000 SOC: 0.000000 0.000000 0.000000 UL: 0.000000 0.000000 0.000000 Median: 0.000000 0.000000 0.000000 Mean: 0.000000 0.000000 0.000000 Longitudinal anomaly to monthly zonal mean: Model sigma R RMS --------- --------- --------- --------- Data: 5.019073 AWI: 6.286689 0.561301 5.412183 CSIRO: 12.548646 -0.078784 13.842807 IGCR: 18.973312 0.618041 16.360424 IPSL: 6.845341 0.211547 7.465597 IPSL.DM1: 6.055206 0.308631 6.521340 LLNL: 7.552641 0.365190 7.381396 MIT: 11.615609 0.374192 10.787058 MPIM: 15.358398 0.744214 12.102522 NCAR: 13.461948 0.601463 11.189561 NERSC: 1.572381 0.541230 4.325770 PIUB: 2.729260 0.000000 5.721883 PRINC2: 11.261116 0.333457 10.689880 PRINCE: 16.267332 -0.185802 17.886499 SOC: 6.728163 0.476456 6.180334 UL: 8.758403 0.723458 6.232275 Median: 15.516874 0.506091 13.682876 Mean: 9.298567 0.393809 8.654265 Annual mean longitudinal anomaly to zonal mean: Model sigma R RMS --------- --------- --------- --------- Data: 5.019069 AWI: 5.112383 0.690292 3.987799 CSIRO: 9.428746 -0.101382 11.076228 IGCR: 17.497856 0.670486 14.621938 IPSL: 6.480702 0.224786 7.116903 IPSL.DM1: 5.570036 0.339604 6.051818 LLNL: 5.559102 0.498296 5.312698 MIT: 11.139992 0.393103 10.257237 MPIM: 14.559319 0.786850 11.060036 NCAR: 11.726158 0.691394 9.021163 NERSC: 1.503344 0.568152 4.295960 PIUB: 0.000000 0.000000 5.029025 PRINC2: 8.595793 0.437963 7.826308 PRINCE: 10.754293 -0.279768 13.069263 SOC: 5.534431 0.581476 4.840692 UL: 8.441716 0.764617 5.689451 Median: 14.541459 0.541024 12.560338 Mean: 5.951116 0.615324 4.883517