chensheng@scsio_ac_cn
New Member
Dear sir, I'm a researcher from South China Sea Institute of Oceanology, Chinese Academy of Sciences.I want to restore the sst to a fixed monthly-calendar field.I think I can realize this goal by using pt_interior forcing. Is this idea correct? But I have a promble about running pt_interior forcing case. I use the different pt_interior forcing file, however the result of control is the same with the sensitivity experiments.Why is it happen? Here is the pop2 namelist about the forcing_pt_interior &forcing_pt_interior_nml
pt_interior_data_inc = 24.
pt_interior_data_renorm = 20*1.
pt_interior_data_type = 'monthly-calendar'
pt_interior_file_fmt = 'bin'
pt_interior_filename = '/public/home/chensheng/data/CESM_input/ocn/pop/gx1v6/forcing/ctrl_AWP/ctrl_AWP_sst.ieeer8'
pt_interior_formulation = 'restoring'
pt_interior_interp_freq = 'every-timestep'
pt_interior_interp_inc = 72.
pt_interior_interp_type = 'linear'
pt_interior_restore_file_fmt = 'bin'
pt_interior_restore_filename = '/public/home/chensheng/data/CESM_input/ocn/pop/gx1v6/forcing/pt_restore.ieeer8'
pt_interior_restore_max_level = 1
pt_interior_restore_tau = 30
pt_interior_variable_restore = .true.
/
My model version is CESM 1.2.2Can anybody help me? I am puzzled by this question for a long time. Thanks a lot!
pt_interior_data_inc = 24.
pt_interior_data_renorm = 20*1.
pt_interior_data_type = 'monthly-calendar'
pt_interior_file_fmt = 'bin'
pt_interior_filename = '/public/home/chensheng/data/CESM_input/ocn/pop/gx1v6/forcing/ctrl_AWP/ctrl_AWP_sst.ieeer8'
pt_interior_formulation = 'restoring'
pt_interior_interp_freq = 'every-timestep'
pt_interior_interp_inc = 72.
pt_interior_interp_type = 'linear'
pt_interior_restore_file_fmt = 'bin'
pt_interior_restore_filename = '/public/home/chensheng/data/CESM_input/ocn/pop/gx1v6/forcing/pt_restore.ieeer8'
pt_interior_restore_max_level = 1
pt_interior_restore_tau = 30
pt_interior_variable_restore = .true.
/
My model version is CESM 1.2.2Can anybody help me? I am puzzled by this question for a long time. Thanks a lot!