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: ../TAKA_FCO2/data/North_Atlantic_only/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: 1.899489 -1.161776 AWI: 2.477471 0.490421 2.264984 -1.213612 CSIRO: 2.014200 0.692128 1.539144 -1.297621 IGCR: 1.959748 0.577192 1.784354 -1.439438 IPSL: 2.171678 0.714634 1.558332 -1.314783 IPSL.DM1: 2.137249 0.653654 1.693706 -1.076115 LLNL: 1.630263 0.649958 1.496800 -1.054354 MIT: 2.323376 0.660338 1.783112 -1.327690 MPIM: 5.117723 0.623551 4.204282 -1.730024 NCAR: 2.346448 0.750591 1.556608 -1.517929 PISCES: 0.296612 -0.518684 2.068938 -0.093057 PIUB: 2.318606 0.617099 1.894729 -1.151558 PRINC2: 2.818057 0.461048 2.571701 -1.460036 PRINCE: 2.447397 0.650666 1.883659 -1.269462 SOC: 2.235466 0.665496 1.718619 -1.167808 UL: 2.407605 0.640222 1.883844 -1.391147 Median: 1.953804 0.725290 1.428976 -1.191075 Mean: 1.935060 0.736329 1.392686 -1.231732 Zonal annual mean: Model sigma R RMS --------- --------- --------- --------- Data: 1.242268 AWI: 1.701515 0.933279 0.702116 CSIRO: 1.545289 0.978787 0.416251 IGCR: 1.668690 0.940991 0.616144 IPSL: 1.467575 0.947034 0.493853 IPSL.DM1: 1.229645 0.918184 0.500115 LLNL: 0.898638 0.875640 0.629078 MIT: 1.662655 0.905115 0.752147 MPIM: 3.152293 0.931944 2.044800 NCAR: 1.726936 0.979892 0.566728 PISCES: 0.227563 -0.754327 1.421796 PIUB: 2.317488 0.894024 1.269832 PRINC2: 1.287905 0.543119 1.209971 PRINCE: 1.309136 0.970347 0.317679 SOC: 1.444877 0.951481 0.463923 UL: 1.556668 0.930902 0.605056 Median: 1.349886 0.974723 0.310413 Mean: 1.411174 0.982075 0.302284 Zonal monthly mean: Model sigma R RMS --------- --------- --------- --------- Data: 1.526540 AWI: 1.701519 0.759412 1.131567 CSIRO: 1.757979 0.873676 0.855322 IGCR: 1.718667 0.760790 1.154625 IPSL: 1.964018 0.850047 1.044293 IPSL.DM1: 1.897929 0.781501 1.184916 LLNL: 1.499765 0.759363 1.050033 MIT: 2.160686 0.808061 1.290589 MPIM: 4.458374 0.758575 3.447009 NCAR: 2.164043 0.868002 1.130716 PISCES: 0.272358 -0.742996 1.738484 PIUB: 2.317491 0.734398 1.574472 PRINC2: 2.170696 0.562352 1.820813 PRINCE: 2.286014 0.762527 1.494730 SOC: 2.011681 0.798601 1.213392 UL: 2.182503 0.791777 1.348240 Median: 1.796893 0.849789 0.947182 Mean: 1.778470 0.870396 0.875895 Monthly anomaly to zonal annual mean: Model sigma R RMS --------- --------- --------- --------- Data: 0.887183 AWI: 0.003621 -0.057473 0.887399 CSIRO: 0.838196 0.626219 0.747202 IGCR: 0.411448 0.056317 0.976486 IPSL: 1.305216 0.709876 0.920140 IPSL.DM1: 1.445720 0.671785 1.074203 LLNL: 1.200727 0.714381 0.840732 MIT: 1.379907 0.649917 1.048759 MPIM: 3.152800 0.541018 2.775008 NCAR: 1.304138 0.661417 0.978436 PISCES: 0.149646 -0.720590 1.000412 PIUB: 0.003343 -0.040594 0.930854 PRINC2: 1.747346 0.641518 1.360636 PRINCE: 1.874039 0.651329 1.460581 SOC: 1.399711 0.599609 1.121203 UL: 1.529740 0.617297 1.204848 Median: 1.186015 0.661904 0.894873 Mean: 1.082379 0.667949 0.822081 Annual mean map: Model sigma R RMS --------- --------- --------- --------- Data: 1.473867 AWI: 2.477468 0.632124 1.921921 CSIRO: 1.783062 0.807991 1.051094 IGCR: 1.897310 0.767206 1.217339 IPSL: 1.652479 0.822430 0.947025 IPSL.DM1: 1.461059 0.772958 0.988935 LLNL: 1.023721 0.783272 0.925550 MIT: 1.825453 0.760364 1.188805 MPIM: 3.663662 0.785103 2.667580 NCAR: 1.867797 0.895647 0.854239 PISCES: 0.247948 -0.545693 1.622529 PIUB: 2.318604 0.798978 1.438196 PRINC2: 1.939729 0.503468 1.748171 PRINCE: 1.477818 0.841077 0.832058 SOC: 1.636786 0.816687 0.954461 UL: 1.721881 0.791806 1.057464 Median: 1.493205 0.865750 0.768951 Mean: 1.559583 0.864111 0.795023 Monthly anomaly to annual mean map: Model sigma R RMS --------- --------- --------- --------- Data: 1.198239 AWI: 0.004379 -0.054973 1.198487 CSIRO: 0.936852 0.467366 1.124351 IGCR: 0.490739 0.012890 1.304610 IPSL: 1.409077 0.559618 1.237555 IPSL.DM1: 1.559852 0.529210 1.375009 LLNL: 1.268761 0.546532 1.176337 MIT: 1.437289 0.504537 1.328996 MPIM: 3.573326 0.425583 3.249616 NCAR: 1.420265 0.516984 1.301270 PISCES: 0.162789 -0.475816 1.283706 PIUB: 0.003344 -0.030477 1.233528 PRINC2: 2.044234 0.419910 1.886146 PRINCE: 1.950848 0.510299 1.689927 SOC: 1.522577 0.469017 1.429215 UL: 1.682761 0.455483 1.559050 Median: 1.260036 0.520849 1.204444 Mean: 1.145495 0.524714 1.143466 Longitudinal anomaly to monthly zonal mean: Model sigma R RMS --------- --------- --------- --------- Data: 1.130369 AWI: 1.856716 0.159790 2.013556 CSIRO: 1.206317 0.222524 1.458107 IGCR: 1.165343 0.047647 1.564686 IPSL: 1.118307 0.315918 1.315159 IPSL.DM1: 1.177659 0.292528 1.373243 LLNL: 0.843006 0.287728 1.200016 MIT: 1.227809 0.173752 1.515623 MPIM: 3.121434 0.254736 3.037018 NCAR: 1.307416 0.323426 1.425171 PISCES: 0.147642 0.099942 1.125244 PIUB: 0.754613 -0.023327 1.359257 PRINC2: 1.952666 0.273866 1.970195 PRINCE: 1.146822 0.280666 1.365747 SOC: 1.141046 0.289522 1.353835 UL: 1.193944 0.214827 1.457181 Median: 0.976338 0.326853 1.228628 Mean: 1.148206 0.264603 1.381759 Annual mean longitudinal anomaly to zonal mean: Model sigma R RMS --------- --------- --------- --------- Data: 0.793129 AWI: 1.800748 0.234883 1.789082 CSIRO: 0.889602 0.346466 0.965160 IGCR: 0.902918 0.140283 1.049896 IPSL: 0.759545 0.458982 0.808062 IPSL.DM1: 0.789092 0.418503 0.853157 LLNL: 0.490361 0.525307 0.678898 MIT: 0.753563 0.285467 0.920616 MPIM: 1.866942 0.398368 1.713119 NCAR: 0.711588 0.643951 0.639174 PISCES: 0.098455 0.177036 0.781728 PIUB: 0.071922 0.013491 0.675229 PRINC2: 1.450466 0.495839 1.261773 PRINCE: 0.685644 0.466860 0.769025 SOC: 0.769024 0.430112 0.834128 UL: 0.735975 0.358539 0.867259 Median: 0.638332 0.534873 0.703513 Mean: 0.663994 0.502490 0.735313