>>>>>>>>>>>>>>>> running sh -e 01-get_AMIP_with_years.sh >>>>>>>>>>>>>>>> sh -e 01-get_AMIP_with_years.sh [done with 6.23 secs.] >>>>>>>>>>>>>>>> running python 02-cal_Regional_ts.py 02-cal_Regional_ts.py:77: FutureWarning: xarray.ufuncs is deprecated. Instead, use numpy ufuncs directly. wgt = xa.ufuncs.cos(xa.ufuncs.deg2rad(lat2d)) /cluster/projects/nn9039k/people/pgchiu/conda/miniconda3/envs/py3env/lib/python3.8/site-packages/xarray/core/dataarray.py:3061: FutureWarning: xarray.ufuncs is deprecated. Instead, use numpy ufuncs directly. da = self.__array_wrap__(f(self.variable.data, *args, **kwargs)) 02-cal_Regional_ts.py:77: FutureWarning: xarray.ufuncs is deprecated. Instead, use numpy ufuncs directly. wgt = xa.ufuncs.cos(xa.ufuncs.deg2rad(lat2d)) /cluster/projects/nn9039k/people/pgchiu/conda/miniconda3/envs/py3env/lib/python3.8/site-packages/xarray/core/dataarray.py:3061: FutureWarning: xarray.ufuncs is deprecated. Instead, use numpy ufuncs directly. da = self.__array_wrap__(f(self.variable.data, *args, **kwargs)) >>>>>>>>>>>>>>>> python 02-cal_Regional_ts.py [done with 14.44 secs.] >>>>>>>>>>>>>>>> running python 03-cal_Regional_ts.py 03-cal_Regional_ts.py:77: FutureWarning: xarray.ufuncs is deprecated. Instead, use numpy ufuncs directly. wgt = xa.ufuncs.cos(xa.ufuncs.deg2rad(lat2d)) /cluster/projects/nn9039k/people/pgchiu/conda/miniconda3/envs/py3env/lib/python3.8/site-packages/xarray/core/dataarray.py:3061: FutureWarning: xarray.ufuncs is deprecated. Instead, use numpy ufuncs directly. da = self.__array_wrap__(f(self.variable.data, *args, **kwargs)) 03-cal_Regional_ts.py:77: FutureWarning: xarray.ufuncs is deprecated. Instead, use numpy ufuncs directly. wgt = xa.ufuncs.cos(xa.ufuncs.deg2rad(lat2d)) /cluster/projects/nn9039k/people/pgchiu/conda/miniconda3/envs/py3env/lib/python3.8/site-packages/xarray/core/dataarray.py:3061: FutureWarning: xarray.ufuncs is deprecated. Instead, use numpy ufuncs directly. da = self.__array_wrap__(f(self.variable.data, *args, **kwargs)) >>>>>>>>>>>>>>>> python 03-cal_Regional_ts.py [done with 2.96 secs.] >>>>>>>>>>>>>>>> running sh -e 04-aggModelVar.sh making sst_01.nc... making sst_02.nc... making sst_03.nc... making sst_04.nc... making sst_05.nc... >>>>>>>>>>>>>>>> sh -e 04-aggModelVar.sh [done with 646.37 secs.] >>>>>>>>>>>>>>>> running python 05-cal_Regional_ts.py >>>>>>>>>>>>>>>> python 05-cal_Regional_ts.py [done with 105.50 secs.] >>>>>>>>>>>>>>>> running python 06-cal_Regional_ts.py >>>>>>>>>>>>>>>> python 06-cal_Regional_ts.py [done with 27.78 secs.] >>>>>>>>>>>>>>>> running python 07-cal_Regional_ts.py >>>>>>>>>>>>>>>> python 07-cal_Regional_ts.py [done with 12.56 secs.] >>>>>>>>>>>>>>>> running sh -e 08-combine_model_ts.sh Concatenating to new dim: member Concatenating from files: sst_01_NINO3_ts.nc sst_02_NINO3_ts.nc sst_03_NINO3_ts.nc sst_04_NINO3_ts.nc sst_05_NINO3_ts.nc Concatenating to file: sst_ens_NINO3_ts.nc Done >>>>>>>>>>>>>>>> sh -e 08-combine_model_ts.sh [done with 0.28 secs.] >>>>>>>>>>>>>>>> running sh -e 09-combine_model_ts.sh Concatenating to new dim: member Concatenating from files: sst_01_Atl3_ts.nc sst_02_Atl3_ts.nc sst_03_Atl3_ts.nc sst_04_Atl3_ts.nc sst_05_Atl3_ts.nc Concatenating to file: sst_ens_Atl3_ts.nc Done >>>>>>>>>>>>>>>> sh -e 09-combine_model_ts.sh [done with 0.08 secs.] >>>>>>>>>>>>>>>> running sh -e 10-monthly2seasonal.sh cdo(1) selseason: Process started cdo(1) selseason: Processed 123 values from 1 variable over 492 timesteps. cdo yearmean: Processed 123 values from 1 variable over 163 timesteps [0.23s 21MB]. >>>>>>>>>>>>>>>> sh -e 10-monthly2seasonal.sh [done with 6.13 secs.] >>>>>>>>>>>>>>>> running sh -e 11-monthly2seasonal.sh cdo(1) shifttime: Process started cdo(2) selseason: Process started cdo(2) selseason: Processed 123 values from 1 variable over 492 timesteps. cdo(1) shifttime: Processed 123 values from 1 variable over 123 timesteps. cdo yearmean: Processed 123 values from 1 variable over 164 timesteps [0.06s 21MB]. >>>>>>>>>>>>>>>> sh -e 11-monthly2seasonal.sh [done with 0.11 secs.] >>>>>>>>>>>>>>>> running sh -e 12-monthly2seasonal.sh cdo(1) selseason: Process started cdo(1) selseason: Processed 15114240 values from 1 variable over 492 timesteps. cdo yearmean: Processed 15114240 values from 1 variable over 163 timesteps [0.87s 54MB]. >>>>>>>>>>>>>>>> sh -e 12-monthly2seasonal.sh [done with 0.94 secs.] >>>>>>>>>>>>>>>> running sh -e 13-monthly2seasonal.sh cdo(1) shifttime: Process started cdo(2) selseason: Process started cdo(2) selseason: Processed 15114240 values from 1 variable over 492 timesteps. cdo(1) shifttime: Processed 15114240 values from 1 variable over 123 timesteps. cdo yearmean: Processed 15114240 values from 1 variable over 164 timesteps [0.39s 55MB]. >>>>>>>>>>>>>>>> sh -e 13-monthly2seasonal.sh [done with 0.46 secs.] >>>>>>>>>>>>>>>> running ncl -Q 14-plot_obs_model_ts.ncl >>>>>>>>>>>>>>>> ncl -Q 14-plot_obs_model_ts.ncl [done with 5.71 secs.] >>>>>>>>>>>>>>>> running ncl -Q 15-plot_obs_model_ts.ncl >>>>>>>>>>>>>>>> ncl -Q 15-plot_obs_model_ts.ncl [done with 0.49 secs.] >>>>>>>>>>>>>>>> running ncl -Q 16-plot_cache_cor.ncl >>>>>>>>>>>>>>>> ncl -Q 16-plot_cache_cor.ncl [done with 5.26 secs.] >>>>>>>>>>>>>>>> running ncl -Q 17-plot_cache_cor.ncl >>>>>>>>>>>>>>>> ncl -Q 17-plot_cache_cor.ncl [done with 4.43 secs.] >>>>>>>>>>>>>>>> running ncl -Q 18-plot_cache_cor.ncl warning:Dimension (1) has not been defined warning:Dimension (2) has not been defined >>>>>>>>>>>>>>>> ncl -Q 18-plot_cache_cor.ncl [done with 5.05 secs.] >>>>>>>>>>>>>>>> running sh -e 19-monthly2seasonal.sh cdo(1) selseason: Process started cdo(1) selseason: Processed 15114240 values from 1 variable over 492 timesteps. cdo yearmean: Processed 15114240 values from 1 variable over 163 timesteps [1.20s 54MB]. >>>>>>>>>>>>>>>> sh -e 19-monthly2seasonal.sh [done with 1.27 secs.] >>>>>>>>>>>>>>>> running sh -e 20-monthly2seasonal.sh cdo(1) selseason: Process started cdo(1) selseason: Processed 123 values from 1 variable over 492 timesteps. cdo yearmean: Processed 123 values from 1 variable over 163 timesteps [0.02s 21MB]. >>>>>>>>>>>>>>>> sh -e 20-monthly2seasonal.sh [done with 0.10 secs.] >>>>>>>>>>>>>>>> running ncl -Q 21-plot_cache_cor.ncl >>>>>>>>>>>>>>>> ncl -Q 21-plot_cache_cor.ncl [done with 1.69 secs.] >>>>>>>>>>>>>>>> running ncl -Q 22-plot_cache_cor.ncl >>>>>>>>>>>>>>>> ncl -Q 22-plot_cache_cor.ncl [done with 1.84 secs.] >>>>>>>>>>>>>>>> running ncl -Q 23-plot_cache_cor.ncl warning:Dimension (1) has not been defined warning:Dimension (2) has not been defined >>>>>>>>>>>>>>>> ncl -Q 23-plot_cache_cor.ncl [done with 6.02 secs.] >>>>>>>>>>>>>>>> running ncl -Q 24-plot_cache_cor.ncl >>>>>>>>>>>>>>>> ncl -Q 24-plot_cache_cor.ncl [done with 1.68 secs.] >>>>>>>>>>>>>>>> running ncl -Q 25-plot_cache_cor.ncl >>>>>>>>>>>>>>>> ncl -Q 25-plot_cache_cor.ncl [done with 1.70 secs.] >>>>>>>>>>>>>>>> running ncl -Q 26-plot_cache_cor.ncl warning:Dimension (1) has not been defined warning:Dimension (2) has not been defined >>>>>>>>>>>>>>>> ncl -Q 26-plot_cache_cor.ncl [done with 6.78 secs.] >>>>>>>>>>>>>>>> running sh -e 27-monthly2seasonal.sh cdo(1) selseason: Process started cdo(1) selseason: Processed 123 values from 1 variable over 492 timesteps. cdo yearmean: Processed 123 values from 1 variable over 163 timesteps [0.06s 21MB]. >>>>>>>>>>>>>>>> sh -e 27-monthly2seasonal.sh [done with 0.30 secs.] >>>>>>>>>>>>>>>> running ncl -Q 28-plot_cache_cor.ncl >>>>>>>>>>>>>>>> ncl -Q 28-plot_cache_cor.ncl [done with 1.92 secs.] >>>>>>>>>>>>>>>> running ncl -Q 29-plot_cache_cor.ncl >>>>>>>>>>>>>>>> ncl -Q 29-plot_cache_cor.ncl [done with 2.50 secs.] >>>>>>>>>>>>>>>> running ncl -Q 30-plot_obs_model_lagcor.ncl >>>>>>>>>>>>>>>> ncl -Q 30-plot_obs_model_lagcor.ncl [done with 0.55 secs.] >>>>>>>>>>>>>>>> running sh -e 31-mk_html_page.sh >>>>>>>>>>>>>>>> sh -e 31-mk_html_page.sh [done with 7.51 secs.]