>>>>>>>>>>>>>>>> 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.]