Initialization parameters

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Mode:

Parameter Name	Type	Default Value	Explanation
averaging_interval	R	0.0	Averaging interval for all output of temporally averaged data (in s). This parameter defines the time interval length for temporally averaged data (vertical profiles, spectra, 2d cross-sections, 3d volume data). By default, data are not subject to temporal averaging. The interval length is limited by the parameter #dt_data_output_av dt_data_output_av. In any case, averaging_interval <= dt_data_output_av must hold. If an interval is defined, then by default the average is calculated from the data values of all timesteps lying within this interval. The number of time levels entering into the average can be reduced with the parameter dt_averaging_input. If an averaging interval can not be completed at the end of a run, it will be finished at the beginning of the next restart run. Thus for restart runs, averaging intervals do not necessarily begin at the beginning of the run. Parameters averaging_interval_pr and averaging_interval_sp can be used to define different averaging intervals for vertical profile data and spectra, respectively.
[=#<insert_parameter_name> <insert_parameter_name>]	<insert type>	<insert value>	<insert explanation>

Grid:

Parameter Name	Type	Default Value	Explanation
averaging_interval	R	0.0	Averaging interval for all output of temporally averaged data (in s). This parameter defines the time interval length for temporally averaged data (vertical profiles, spectra, 2d cross-sections, 3d volume data). By default, data are not subject to temporal averaging. The interval length is limited by the parameter #dt_data_output_av dt_data_output_av. In any case, averaging_interval <= dt_data_output_av must hold. If an interval is defined, then by default the average is calculated from the data values of all timesteps lying within this interval. The number of time levels entering into the average can be reduced with the parameter dt_averaging_input. If an averaging interval can not be completed at the end of a run, it will be finished at the beginning of the next restart run. Thus for restart runs, averaging intervals do not necessarily begin at the beginning of the run. Parameters averaging_interval_pr and averaging_interval_sp can be used to define different averaging intervals for vertical profile data and spectra, respectively.
[=#<insert_parameter_name> <insert_parameter_name>]	<insert type>	<insert value>	<insert explanation>

Numerics:

Parameter Name	Type	Default Value	Explanation
averaging_interval	R	0.0	Averaging interval for all output of temporally averaged data (in s). This parameter defines the time interval length for temporally averaged data (vertical profiles, spectra, 2d cross-sections, 3d volume data). By default, data are not subject to temporal averaging. The interval length is limited by the parameter #dt_data_output_av dt_data_output_av. In any case, averaging_interval <= dt_data_output_av must hold. If an interval is defined, then by default the average is calculated from the data values of all timesteps lying within this interval. The number of time levels entering into the average can be reduced with the parameter dt_averaging_input. If an averaging interval can not be completed at the end of a run, it will be finished at the beginning of the next restart run. Thus for restart runs, averaging intervals do not necessarily begin at the beginning of the run. Parameters averaging_interval_pr and averaging_interval_sp can be used to define different averaging intervals for vertical profile data and spectra, respectively.
[=#<insert_parameter_name> <insert_parameter_name>]	<insert type>	<insert value>	<insert explanation>

Boundary conditions:

Parameter Name	Type	Default Value	Explanation
bc_e_b	C*20	'neumann'	Bottom boundary condition of the TKE. bc_e_b may be set to neumann or (u*) 2+neumann. bc_e_b = neumann yields to e(k=0)=e(k=1) (Neumann boundary condition), where e(k=1) is calculated via the prognostic TKE equation. Choice of '(u*)2+neumann' also yields to e(k=0)=e(k=1), but the TKE at the Prandtl-layer top (k=1) is calculated diagnostically by e(k=1)=(us/0.1)2. However, this is only allowed if a Prandtl-layer is used (#prandtl_layer). If this is not the case, a warning is given and bc_e_b is reset to 'neumann'. At the top boundary a Neumann boundary condition is generally used: (e(nz+1) = e(nz)).
[=#<insert_parameter_name> <insert_parameter_name>]	<insert type>	<insert value>	<insert explanation>

Initialization:

Parameter Name	Type	Default Value	Explanation
averaging_interval	R	0.0	Averaging interval for all output of temporally averaged data (in s). This parameter defines the time interval length for temporally averaged data (vertical profiles, spectra, 2d cross-sections, 3d volume data). By default, data are not subject to temporal averaging. The interval length is limited by the parameter #dt_data_output_av dt_data_output_av. In any case, averaging_interval <= dt_data_output_av must hold. If an interval is defined, then by default the average is calculated from the data values of all timesteps lying within this interval. The number of time levels entering into the average can be reduced with the parameter dt_averaging_input. If an averaging interval can not be completed at the end of a run, it will be finished at the beginning of the next restart run. Thus for restart runs, averaging intervals do not necessarily begin at the beginning of the run. Parameters averaging_interval_pr and averaging_interval_sp can be used to define different averaging intervals for vertical profile data and spectra, respectively.
[=#<insert_parameter_name> <insert_parameter_name>]	<insert type>	<insert value>	<insert explanation>

Topography:

Parameter Name	Type	Default Value	Explanation
averaging_interval	R	0.0	Averaging interval for all output of temporally averaged data (in s). This parameter defines the time interval length for temporally averaged data (vertical profiles, spectra, 2d cross-sections, 3d volume data). By default, data are not subject to temporal averaging. The interval length is limited by the parameter #dt_data_output_av dt_data_output_av. In any case, averaging_interval <= dt_data_output_av must hold. If an interval is defined, then by default the average is calculated from the data values of all timesteps lying within this interval. The number of time levels entering into the average can be reduced with the parameter dt_averaging_input. If an averaging interval can not be completed at the end of a run, it will be finished at the beginning of the next restart run. Thus for restart runs, averaging intervals do not necessarily begin at the beginning of the run. Parameters averaging_interval_pr and averaging_interval_sp can be used to define different averaging intervals for vertical profile data and spectra, respectively.
[=#<insert_parameter_name> <insert_parameter_name>]	<insert type>	<insert value>	<insert explanation>

Canopy:

Parameter Name	Type	Default Value	Explanation
averaging_interval	R	0.0	Averaging interval for all output of temporally averaged data (in s). This parameter defines the time interval length for temporally averaged data (vertical profiles, spectra, 2d cross-sections, 3d volume data). By default, data are not subject to temporal averaging. The interval length is limited by the parameter #dt_data_output_av dt_data_output_av. In any case, averaging_interval <= dt_data_output_av must hold. If an interval is defined, then by default the average is calculated from the data values of all timesteps lying within this interval. The number of time levels entering into the average can be reduced with the parameter dt_averaging_input. If an averaging interval can not be completed at the end of a run, it will be finished at the beginning of the next restart run. Thus for restart runs, averaging intervals do not necessarily begin at the beginning of the run. Parameters averaging_interval_pr and averaging_interval_sp can be used to define different averaging intervals for vertical profile data and spectra, respectively.
[=#<insert_parameter_name> <insert_parameter_name>]	<insert type>	<insert value>	<insert explanation>

Others:

Parameter Name	Type	Default Value	Explanation
averaging_interval	R	0.0	Averaging interval for all output of temporally averaged data (in s). This parameter defines the time interval length for temporally averaged data (vertical profiles, spectra, 2d cross-sections, 3d volume data). By default, data are not subject to temporal averaging. The interval length is limited by the parameter #dt_data_output_av dt_data_output_av. In any case, averaging_interval <= dt_data_output_av must hold. If an interval is defined, then by default the average is calculated from the data values of all timesteps lying within this interval. The number of time levels entering into the average can be reduced with the parameter dt_averaging_input. If an averaging interval can not be completed at the end of a run, it will be finished at the beginning of the next restart run. Thus for restart runs, averaging intervals do not necessarily begin at the beginning of the run. Parameters averaging_interval_pr and averaging_interval_sp can be used to define different averaging intervals for vertical profile data and spectra, respectively.
[=#<insert_parameter_name> <insert_parameter_name>]	<insert type>	<insert value>	<insert explanation>