subroutine, public gfs_phys_time_vary::gfs_phys_time_vary_run	(	type(gfs_data_type), dimension(:), intent(inout)	Data,
		type(gfs_control_type), intent(inout)	Model,
		integer, intent(in)	nthrds,
		logical, intent(in)	first_time_step,
		character(len=*), intent(out)	errmsg,
		integer, intent(out)	errflg
	)

Argument Table

local_name	standard_name	long_name	units	type	dimensions	kind	intent	optional
Data	GFS_data_type_instance_all_blocks	Fortran DDT containing FV3-GFS data	DDT	GFS_data_type	(ccpp_block_number)		inout	False
Model	GFS_control_type_instance	Fortran DDT containing FV3-GFS model control parameters	DDT	GFS_control_type	()		inout	False
nthrds	omp_threads	number of OpenMP threads available for physics schemes	count	integer	()		in	False
first_time_step	flag_for_first_time_step	flag for first time step for time integration loop (cold/warmstart)	flag	logical	()		in	False
errmsg	ccpp_error_message	error message for error handling in CCPP	none	character	()	len=*	out	False
errflg	ccpp_error_flag	error flag for error handling in CCPP	flag	integer	()		out	False

GFS_phys_time_vary_run General Algorithm

• Call ozinterpol() to make ozone interpolation
• Call h2ointerpol() to make stratospheric water vapor data interpolation
• Call aerinterpol() to make aerosol interpolation
• Call ciinterpol() to make IN and CCN data interpolation
• Call gcycle() to repopulate specific time-varying surface properties for AMIP/forecast runs

References aerinterp::aerinterpol(), iccninterp::ciinterpol(), gcycle(), h2ointerp::h2ointerpol(), is_initialized, ozinterp::ozinterpol(), namelist_soilveg::salp_data, and namelist_soilveg::snupx.

Here is the call graph for this function: