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Add v3LR to baseline in Taylor Diagram and CMIP comparison plots (#1001)
* add v3LR to baseline in Taylor Diagram and CMIP comparison plots * add all seasons * fix tas land rmse to use ERA5 as baseline analysis * refine plot; add testing script
1 parent 4306a4c commit 05b3c24

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import os
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from e3sm_diags.parameter.core_parameter import CoreParameter
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from e3sm_diags.run import runner
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param = CoreParameter()
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param.reference_data_path = '/global/cfs/cdirs/e3sm/e3sm_diags/obs_for_e3sm_diags/climatology/'
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param.test_data_path = '/global/cfs/cdirs/e3sm/e3sm_diags/test_model_data_for_acme_diags/climatology/'
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param.reference_data_path = '/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/climatology/'
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param.test_data_path = '/global/cfs/cdirs/e3sm/chengzhu/tests/zppy_example_v3/v3.LR.amip_0101/post/atm/180x360_aave/clim/10yr/'
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param.test_name = 'v3.LR.amip_0101'
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param.seasons = ["ANN","DJF", "MAM", "JJA", "SON"] #will run,if comment out"
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prefix = '/global/cfs/cdirs/e3sm/www/chengzhu/tests/test_zppy/'
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param.results_dir = os.path.join(prefix, 'lat_lon_v3_metrics')
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# Use the following if running in parallel:
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param.multiprocessing = True
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param.num_workers = 24
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# Use below to run all core sets of diags:
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#runner.sets_to_run = ['lat_lon','zonal_mean_xy', 'zonal_mean_2d', 'polar', 'cosp_histogram', 'meridional_mean_2d']
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# Use below to run lat_lon map only:
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runner.sets_to_run = ['lat_lon']
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runner.run_diags([param])
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Variables,Unit,Test_mean,Ref._mean,Mean_Bias,Test_STD,Ref._STD,RMSE,Correlation
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PRECT global GPCP_v3.2,mm/day,2.992,2.812,0.18,2.066,2.065,0.842,0.921
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PRECT global GPCP_v2.3,mm/day,2.992,2.69,0.301,2.037,1.934,0.804,0.931
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TREFHT land_60S90N CRU,DegC,13.142,12.932,0.21,12.383,13.077,1.76,0.992
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SST global HadISST,degC,20.154,999.999,999.999,8.352,999.999,999.999,999.999
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SST global HadISST_CL,degC,20.154,18.698,1.457,8.352,9.536,0.19,1.0
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SST global HadISST_PI,degC,20.154,18.978,1.177,8.352,8.933,0.539,0.999
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SST global HadISST_PD,degC,20.154,18.807,1.348,8.352,9.543,0.207,1.0
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SOLIN global ceres_ebaf_toa_v4.1,W/m2,340.292,340.267,0.025,72.714,72.726,0.446,1.0
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ALBEDO 75S75N ceres_ebaf_toa_v4.1,dimensionless,0.303,0.303,0.0,0.097,0.106,0.031,0.958
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ALBEDOC global ceres_ebaf_toa_v4.1,dimensionless,0.164,0.176,-0.012,0.112,0.121,0.026,0.983
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RESTOM global ceres_ebaf_toa_v4.1,W/m2,2.196,0.927,1.269,55.561,56.014,8.383,0.989
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FLUT global ceres_ebaf_toa_v4.1,W/m2,238.715,240.313,-1.598,28.866,29.746,5.231,0.986
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FLUTC global ceres_ebaf_toa_v4.1,W/m2,263.514,266.126,-2.611,29.578,29.773,3.755,0.996
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FSNTOA global ceres_ebaf_toa_v4.1,W/m2,240.798,241.24,-0.441,78.215,80.108,9.503,0.993
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FSNTOAC global ceres_ebaf_toa_v4.1,W/m2,289.99,286.549,3.44,81.669,82.664,6.831,0.997
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SWCF global ceres_ebaf_toa_v4.1,W/m2,-49.191,-45.309,-3.882,21.047,20.241,9.948,0.902
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LWCF global ceres_ebaf_toa_v4.1,W/m2,24.799,25.813,-1.014,12.031,11.0,4.209,0.941
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NETCF global ceres_ebaf_toa_v4.1,W/m2,-24.392,-19.497,-4.895,16.262,15.098,9.523,0.867
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ALBEDO_SRF global ceres_ebaf_surface_v4.1,dimensionless,0.137,0.143,-0.005,0.156,0.173,0.038,0.979
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SWCFSRF global ceres_ebaf_surface_v4.1,W/m2,-52.906,-48.201,-4.706,22.748,21.71,11.023,0.9
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LWCFSRF global ceres_ebaf_surface_v4.1,W/m2,26.211,27.457,-1.246,17.494,14.402,7.18,0.92
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NETCF_SRF global ceres_ebaf_surface_v4.1,W/m2,-26.695,-20.743,-5.952,19.588,20.786,10.826,0.901
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FLDS global ceres_ebaf_surface_v4.1,W/m2,345.04,345.466,-0.426,64.369,66.27,8.564,0.992
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FLDSC global ceres_ebaf_surface_v4.1,W/m2,317.525,317.799,-0.275,75.421,76.288,6.181,0.997
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FLNS global ceres_ebaf_surface_v4.1,W/m2,54.347,53.458,0.889,18.696,17.711,8.532,0.893
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FLNSC global ceres_ebaf_surface_v4.1,W/m2,80.558,80.915,-0.357,14.667,17.192,6.588,0.927
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FSDS global ceres_ebaf_surface_v4.1,W/m2,186.619,186.873,-0.253,58.356,55.401,11.956,0.979
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FSDSC global ceres_ebaf_surface_v4.1,W/m2,245.388,240.978,4.41,51.227,48.271,6.974,0.996
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FSNS global ceres_ebaf_surface_v4.1,W/m2,163.865,163.717,0.148,61.504,61.844,10.707,0.985
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FSNSC global ceres_ebaf_surface_v4.1,W/m2,216.771,211.918,4.853,64.142,63.841,8.59,0.994
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LHFLX global OAFlux,W/m2,86.571,93.697,-7.125,52.855,37.492,20.493,0.964
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SHFLX global OAFlux,W/m2,19.903,10.428,9.475,16.594,8.383,7.768,0.784
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LHFLX global ERA5,W/m2,86.571,83.108,3.464,52.855,49.787,10.966,0.981
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SHFLX global ERA5,W/m2,19.903,16.662,3.24,16.594,16.921,6.889,0.934
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PSL global ERA5,mbar,1011.53,1011.389,0.141,10.024,8.061,2.694,0.979
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FSNS global ERA5,W/m2,163.865,163.655,0.21,61.504,60.047,11.125,0.984
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FLNS global ERA5,W/m2,54.347,57.718,-3.371,18.696,17.896,8.07,0.921
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NET_FLUX_SRF global ERA5,W/m2,2.188,6.167,-3.978,33.733,29.984,17.296,0.867
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PRECT global ERA5,mm/day,2.992,2.915,0.077,2.066,2.177,0.744,0.941
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TMQ global ERA5,kg/m2,25.97,24.249,1.721,14.491,14.401,2.272,0.995
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QREFHT global ERA5_ext,g/kg,10.248,9.578,0.67,5.558,5.724,0.942,0.994
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U10 global ERA5_ext,m/s,6.293,6.158,0.135,2.423,2.447,0.836,0.943
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U-850mb global ERA5,m/s,1.177,1.081,0.096,6.18,5.412,1.202,0.986
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U-200mb global ERA5,m/s,16.402,15.655,0.747,11.584,12.242,2.354,0.984
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Z3-500mb global ERA5,hectometer,56.671,56.608,0.063,2.706,2.566,0.217,0.998
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OMEGA-200mb global ERA5,mbar/day,0.2,-0.0,0.2,10.89,9.186,6.134,0.827
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OMEGA-500mb global ERA5,mbar/day,-0.014,-0.002,-0.012,18.71,23.302,14.853,0.771
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OMEGA-850mb global ERA5,mbar/day,-0.427,4.103,-4.53,25.174,61.793,45.645,0.486
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T-850mb global ERA5,K,281.34,281.14,0.201,10.046,11.038,0.773,0.998
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T-200mb global ERA5,K,219.378,218.551,0.827,2.662,2.017,2.054,0.709
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TAUXY ocean ERA5,N/m^2,0.07,0.067,0.003,0.054,0.05,0.019,0.935
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LHFLX global MERRA2,W/m2,86.571,84.374,2.198,52.855,52.092,11.544,0.977
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SHFLX global MERRA2,W/m2,19.903,18.961,0.941,16.594,20.663,8.929,0.909
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PSL global MERRA2,mbar,1011.53,1010.9,0.629,10.024,8.313,2.694,0.976
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FSNS global MERRA2,W/m2,163.865,164.068,-0.204,61.504,61.911,13.193,0.977
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FLNS global MERRA2,W/m2,54.347,62.112,-7.765,18.696,17.836,10.63,0.922
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NET_FLUX_SRF global MERRA2,W/m2,2.188,-1.379,3.567,33.733,27.253,21.26,0.784
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PRECT global MERRA2,mm/day,2.992,2.953,0.039,2.066,2.56,1.29,0.866
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TMQ global MERRA2,kg/m2,25.97,24.944,1.026,14.491,14.816,1.756,0.996
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U-850mb global MERRA2,m/s,1.177,0.96,0.217,6.18,5.707,1.129,0.986
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U-200mb global MERRA2,m/s,16.402,16.088,0.314,11.584,11.968,2.039,0.986
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Z3-500mb global MERRA2,hectometer,56.671,56.597,0.073,2.706,2.569,0.219,0.998
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OMEGA-200mb global MERRA2,mbar/day,0.2,-0.1,0.299,10.89,9.306,5.711,0.852
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OMEGA-500mb global MERRA2,mbar/day,-0.014,0.05,-0.064,18.71,22.137,13.195,0.804
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OMEGA-850mb global MERRA2,mbar/day,-0.427,0.212,-0.639,25.174,36.655,23.926,0.698
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T-850mb global MERRA2,K,281.34,281.382,-0.042,10.046,10.109,0.786,0.997
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T-200mb global MERRA2,K,219.378,218.64,0.738,2.662,2.072,2.077,0.69
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TAUXY ocean MERRA2,N/m^2,0.07,0.075,-0.005,0.054,0.053,0.014,0.971
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CLDTOT_TAU1.3_ISCCP global ISCCPCOSP,%,47.421,51.964,-4.543,20.69,16.389,9.848,0.915
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CLDTOT_TAU1.3_9.4_ISCCP global ISCCPCOSP,%,22.619,33.221,-10.602,8.98,9.694,13.398,0.617
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CLDTOT_TAU9.4_ISCCP global ISCCPCOSP,%,24.802,18.743,6.059,13.55,10.097,11.264,0.714
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CLDTOT_TAU1.3_MISR global MISRCOSP,%,47.416,54.162,-6.746,20.835,18.838,8.633,0.911
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CLDTOT_TAU1.3_9.4_MISR global MISRCOSP,%,22.617,31.925,-9.309,9.057,7.848,9.236,0.809
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CLDTOT_TAU9.4_MISR global MISRCOSP,%,24.799,22.237,2.562,13.668,12.378,9.228,0.828
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CLDLOW_TAU1.3_MISR global MISRCOSP,%,28.477,32.126,-3.65,20.899,15.893,8.869,0.917
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CLDLOW_TAU1.3_9.4_MISR global MISRCOSP,%,14.76,20.985,-6.226,10.852,8.441,6.392,0.882
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CLDLOW_TAU9.4_MISR global MISRCOSP,%,13.717,11.141,2.576,10.93,8.388,8.012,0.815
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CLDTOT_TAU1.3_MODIS global MODISCOSP,%,46.206,48.129,-1.923,20.543,19.63,8.794,0.91
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CLDTOT_TAU1.3_9.4_MODIS global MODISCOSP,%,21.737,24.606,-2.869,8.698,8.203,6.787,0.737
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CLDTOT_TAU9.4_MODIS global MODISCOSP,%,24.469,23.523,0.947,13.715,13.484,8.304,0.816
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CLDHGH_TAU1.3_MODIS global MODISCOSP,%,14.686,20.958,-6.272,8.724,11.038,7.983,0.901
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CLDHGH_TAU1.3_9.4_MODIS global MODISCOSP,%,6.559,10.366,-3.807,4.146,5.961,5.064,0.841
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CLDHGH_TAU9.4_MODIS global MODISCOSP,%,8.127,10.591,-2.465,5.302,6.192,3.96,0.866
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CLDTOT_CAL global CALIPSOCOSP,%,64.745,67.251,-2.505,17.061,14.647,7.729,0.904
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CLDLOW_CAL global CALIPSOCOSP,%,32.359,37.948,-5.589,22.058,17.515,11.127,0.913
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CLDMED_CAL global CALIPSOCOSP,%,13.584,18.088,-4.505,8.333,9.678,6.582,0.874
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CLDHGH_CAL global CALIPSOCOSP,%,37.13,32.041,5.089,15.233,13.127,8.629,0.893
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TGCLDLWP_OCN global SSMI,g/m^2,61.638,95.636,-33.997,18.341,24.473,37.921,0.755
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AODVIS global MACv2,dimensionless,0.112,0.122,-0.01,0.081,0.092,0.044,0.886
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AODVIS global MERRA2_Aerosols,dimensionless,0.112,0.142,-0.03,0.081,0.078,0.045,0.908
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AODDUST global MACv2,dimensionless,0.025,999.999,999.999,0.055,999.999,999.999,999.999
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TREFHT global ERA5,DegC,14.332,14.268,0.064,14.075,14.095,1.005,0.997
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TREFHT land ERA5,DegC,8.586,8.942,-0.356,18.761,18.804,1.943,0.995
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TREFHT global MERRA2,DegC,14.332,14.339,-0.007,14.075,14.441,0.943,0.998
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TREFHT land MERRA2,DegC,8.586,8.382,0.204,18.761,19.46,1.725,0.996
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TREFMNAV global MERRA2,DegC,12.604,12.372,0.231,14.547,14.992,1.236,0.997
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TREFMXAV global MERRA2,DegC,16.163,16.472,-0.309,13.92,14.331,1.247,0.997
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TREF_range global MERRA2,K,3.559,4.101,-0.541,3.741,4.649,1.491,0.968
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PminusE global GPCP_OAFLux,mm/day,-0.0,-0.132,0.132,2.096,2.166,0.767,0.946
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PminusE global COREv2_Flux,mm/day,-0.0,-0.291,0.291,2.136,2.099,0.947,0.914
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TCO global OMI-MLS,DU,28.564,31.26,-2.697,4.934,4.913,4.471,0.738
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_ABURDENDUST global ,1e-6 kg/m2,56.02,999.999,999.999,134.274,999.999,999.999,999.999
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_ABURDENBC global ,1e-6 kg/m2,0.192,999.999,999.999,0.303,999.999,999.999,999.999
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_ABURDENSOA global ,1e-6 kg/m2,4.474,999.999,999.999,5.846,999.999,999.999,999.999
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_ABURDENPOM global ,1e-6 kg/m2,1.098,999.999,999.999,1.637,999.999,999.999,999.999
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_ABURDENSEASALT global ,1e-6 kg/m2,10.181,999.999,999.999,7.54,999.999,999.999,999.999
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_ABURDENSO4 global ,1e-6 kg/m2,6.195,999.999,999.999,2.962,999.999,999.999,999.999
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_ABURDENSO4_STR global ,1e-6 kg/m2,2.332,999.999,999.999,0.989,999.999,999.999,999.999
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_ABURDENSO4_TRO global ,1e-6 kg/m2,3.864,999.999,999.999,2.486,999.999,999.999,999.999
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_Mass_bc_srf global ,1e-12 kg/kg,100.15,999.999,999.999,285.421,999.999,999.999,999.999
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_Mass_ncl_srf global ,1e-12 kg/kg,7490.283,999.999,999.999,5964.452,999.999,999.999,999.999
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_Mass_so4_srf global ,1e-12 kg/kg,831.005,999.999,999.999,801.887,999.999,999.999,999.999
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_Mass_dst_srf global ,1e-12 kg/kg,24897.956,999.999,999.999,78352.479,999.999,999.999,999.999
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_Mass_pom_srf global ,1e-12 kg/kg,472.305,999.999,999.999,1148.661,999.999,999.999,999.999
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_Mass_soa_srf global ,1e-12 kg/kg,783.345,999.999,999.999,1607.676,999.999,999.999,999.999
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_Mass_mom_srf global ,1e-12 kg/kg,91.572,999.999,999.999,91.237,999.999,999.999,999.999
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_Mass_bc_850 global ,1e-12 kg/kg,54.966,999.999,999.999,115.444,999.999,999.999,999.999
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_Mass_ncl_850 global ,1e-12 kg/kg,2098.507,999.999,999.999,1740.861,999.999,999.999,999.999
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_Mass_so4_850 global ,1e-12 kg/kg,709.527,999.999,999.999,716.145,999.999,999.999,999.999
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_Mass_dst_850 global ,1e-12 kg/kg,17174.394,999.999,999.999,48392.105,999.999,999.999,999.999
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_Mass_pom_850 global ,1e-12 kg/kg,321.266,999.999,999.999,645.79,999.999,999.999,999.999
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_Mass_soa_850 global ,1e-12 kg/kg,832.279,999.999,999.999,1672.536,999.999,999.999,999.999
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_Mass_mom_850 global ,1e-12 kg/kg,29.81,999.999,999.999,23.404,999.999,999.999,999.999
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_Mass_bc_330 global ,1e-12 kg/kg,6.498,999.999,999.999,5.57,999.999,999.999,999.999
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_Mass_ncl_330 global ,1e-12 kg/kg,88.094,999.999,999.999,63.732,999.999,999.999,999.999
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_Mass_so4_330 global ,1e-12 kg/kg,340.128,999.999,999.999,200.611,999.999,999.999,999.999
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_Mass_dst_330 global ,1e-12 kg/kg,1377.657,999.999,999.999,2261.996,999.999,999.999,999.999
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_Mass_pom_330 global ,1e-12 kg/kg,35.357,999.999,999.999,23.592,999.999,999.999,999.999
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_Mass_soa_330 global ,1e-12 kg/kg,425.656,999.999,999.999,289.384,999.999,999.999,999.999
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_Mass_mom_330 global ,1e-12 kg/kg,2.201,999.999,999.999,2.13,999.999,999.999,999.999

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