COMPARISON STATISTICS ===================== between model list: ['AWI', 'CSIRO', 'IGCR', 'IPSL', 'IPSL.DM1', 'LLNL', 'MIT', 'MPIM', 'NCAR', 'NERSC', 'PISCES', 'PIUB', 'PRINC2', 'PRINCE', 'SOC', 'UL'] variable id: FTOT variable name: Air-Sea CO2 Flux (Sol.+Biol+Anthro.) and data: /home/epitalon/Projects/Data/Takahashi/TAKA_fco2_2003.nc variable id: FCO2 variable name: Sea-to-Air Flux of Total CO2 (1995) ===================== Total space-time field: Model sigma R RMS Average --------- --------- --------- --------- --------- Data: 1.727521 -0.425905 AWI: 1.860828 0.383302 1.995663 -0.672558 CSIRO: 1.435955 0.593632 1.450235 -0.496204 IGCR: 1.360474 0.432769 1.675952 -0.577703 IPSL: 1.565442 0.635624 1.413173 -0.573239 IPSL.DM1: 2.106691 0.411693 2.103779 -0.464758 LLNL: 1.504402 0.461452 1.687908 -0.494656 MIT: 1.621651 0.543252 1.603554 -0.606197 MPIM: 3.658633 0.354394 3.446776 -0.572122 NCAR: 1.437066 0.591363 1.453718 -0.557322 PISCES: 0.480315 -0.328155 1.924435 -0.282951 PIUB: 1.442093 0.419127 1.730160 -0.650217 PRINC2: 2.454743 0.333632 2.486058 -0.646720 PRINCE: 1.783773 0.562825 1.642400 -0.467546 SOC: 1.463841 0.595565 1.454308 -0.583926 UL: 1.772574 0.504890 1.741907 -0.700481 Median: 1.308787 0.625297 1.367374 -0.529686 Mean: 1.326085 0.582301 1.430582 -0.581010 Zonal annual mean: Model sigma R RMS --------- --------- --------- --------- Data: 1.022771 AWI: 1.251097 0.781205 0.782347 CSIRO: 0.865506 0.950926 0.334553 IGCR: 0.898228 0.787865 0.644087 IPSL: 0.898324 0.954725 0.314138 IPSL.DM1: 0.866324 0.888230 0.471745 LLNL: 0.663377 0.836008 0.593039 MIT: 0.848385 0.929523 0.391816 MPIM: 2.163543 0.510276 1.862850 NCAR: 0.769034 0.885822 0.493958 PISCES: 0.363927 -0.433449 1.212076 PIUB: 1.337326 0.679999 0.990503 PRINC2: 1.215053 0.495079 1.136629 PRINCE: 0.814595 0.930474 0.398983 SOC: 0.878076 0.929600 0.383909 UL: 0.944878 0.807362 0.615139 Median: 0.778310 0.931246 0.411366 Mean: 0.855396 0.822451 0.574587 Zonal monthly mean: Model sigma R RMS --------- --------- --------- --------- Data: 1.202144 AWI: 1.251101 0.664733 1.005426 CSIRO: 1.030933 0.838974 0.655157 IGCR: 0.999382 0.595342 1.015376 IPSL: 1.234125 0.817720 0.736127 IPSL.DM1: 1.796777 0.516833 1.562323 LLNL: 1.186264 0.590507 1.080821 MIT: 1.358304 0.696812 1.007671 MPIM: 3.083111 0.458218 2.749301 NCAR: 1.143616 0.747191 0.835791 PISCES: 0.385824 -0.447886 1.402408 PIUB: 1.337330 0.581402 1.177486 PRINC2: 1.710136 0.542941 1.461960 PRINCE: 1.519219 0.683219 1.121438 SOC: 1.184192 0.779204 0.793069 UL: 1.423059 0.649138 1.117702 Median: 1.098983 0.779624 0.770023 Mean: 1.129877 0.718986 0.869868 Monthly anomaly to zonal annual mean: Model sigma R RMS --------- --------- --------- --------- Data: 0.631736 AWI: 0.002965 0.075897 0.631518 CSIRO: 0.560108 0.559742 0.563299 IGCR: 0.438122 -0.037915 0.784946 IPSL: 0.846215 0.628497 0.665733 IPSL.DM1: 1.574131 0.331178 1.489399 LLNL: 0.983440 0.442449 0.903593 MIT: 1.060770 0.494345 0.928376 MPIM: 2.196510 0.410214 2.021991 NCAR: 0.846430 0.618064 0.674204 PISCES: 0.128132 -0.573414 0.705423 PIUB: 0.002927 0.062259 0.636693 PRINC2: 1.203416 0.658935 0.919458 PRINCE: 1.282366 0.583322 1.048062 SOC: 0.794540 0.546691 0.693954 UL: 1.064097 0.491300 0.933200 Median: 0.775884 0.588972 0.650932 Mean: 0.738187 0.551221 0.653086 Annual mean map: Model sigma R RMS --------- --------- --------- --------- Data: 1.375435 AWI: 1.860824 0.481382 1.700103 CSIRO: 1.237997 0.725782 0.976475 IGCR: 1.236745 0.588685 1.192512 IPSL: 1.194396 0.796228 0.838030 IPSL.DM1: 1.185005 0.693824 1.017023 LLNL: 1.038386 0.628263 1.084185 MIT: 1.119127 0.745420 0.921933 MPIM: 2.646361 0.444986 2.377411 NCAR: 1.036756 0.746244 0.915648 PISCES: 0.452055 -0.356236 1.582115 PIUB: 1.442090 0.525765 1.376786 PRINC2: 1.809249 0.351422 1.848289 PRINCE: 1.099891 0.778808 0.863236 SOC: 1.127761 0.757028 0.902840 UL: 1.243093 0.666990 1.075300 Median: 0.983116 0.793009 0.844812 Mean: 1.047186 0.718621 0.950664 Monthly anomaly to annual mean map: Model sigma R RMS --------- --------- --------- --------- Data: 1.045230 AWI: 0.003535 0.026660 1.045142 CSIRO: 0.727551 0.311434 1.072230 IGCR: 0.566880 0.026576 1.177595 IPSL: 1.011942 0.388465 1.137877 IPSL.DM1: 1.741813 0.201821 1.841616 LLNL: 1.088568 0.265384 1.293668 MIT: 1.173587 0.305280 1.312031 MPIM: 2.526335 0.234866 2.495633 NCAR: 0.995137 0.388368 1.129108 PISCES: 0.162326 -0.299283 1.095612 PIUB: 0.002985 0.025683 1.047814 PRINC2: 1.659031 0.311574 1.662621 PRINCE: 1.404309 0.378890 1.397248 SOC: 0.933266 0.340142 1.140127 UL: 1.263622 0.307122 1.370390 Median: 0.863948 0.378123 1.075176 Mean: 0.813576 0.351445 1.069019 Longitudinal anomaly to monthly zonal mean: Model sigma R RMS --------- --------- --------- --------- Data: 1.242843 AWI: 1.377471 0.135754 1.725477 CSIRO: 0.999572 0.348252 1.295939 IGCR: 0.923106 0.257280 1.344712 IPSL: 0.963090 0.422544 1.208576 IPSL.DM1: 1.099883 0.279407 1.410855 LLNL: 0.925204 0.310606 1.298592 MIT: 0.885868 0.347852 1.250465 MPIM: 2.026929 0.219573 2.129621 NCAR: 0.870232 0.407620 1.191734 PISCES: 0.290227 -0.181063 1.318746 PIUB: 0.541063 0.140867 1.280838 PRINC2: 1.761023 0.136435 2.012123 PRINCE: 0.934782 0.418811 1.202222 SOC: 0.860535 0.371032 1.221284 UL: 1.056846 0.331604 1.338082 Median: 0.710746 0.434462 1.132369 Mean: 0.734230 0.395409 1.160649 Annual mean longitudinal anomaly to zonal mean: Model sigma R RMS --------- --------- --------- --------- Data: 0.919653 AWI: 1.377470 0.183496 1.509398 CSIRO: 0.885175 0.484007 0.917376 IGCR: 0.850131 0.348947 1.003612 IPSL: 0.787144 0.595211 0.776925 IPSL.DM1: 0.808529 0.462426 0.900995 LLNL: 0.798859 0.449300 0.907613 MIT: 0.729854 0.507079 0.834530 MPIM: 1.523913 0.350769 1.477116 NCAR: 0.695305 0.574562 0.770984 PISCES: 0.268161 -0.245647 1.016838 PIUB: 0.539613 0.194244 0.956266 PRINC2: 1.340533 0.210306 1.457480 PRINCE: 0.739051 0.592912 0.765499 SOC: 0.707692 0.521529 0.817151 UL: 0.807765 0.484862 0.881972 Median: 0.600625 0.599264 0.737892 Mean: 0.604066 0.570809 0.757372