RRTMG_SW

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class climlab.radiation.rrtm.rrtmg_sw.RRTMG_SW(icld=1, irng=1, permuteseed=150, dyofyr=0, inflgsw=2, iceflgsw=1, liqflgsw=1, tauc=0.0, ssac=0.0, asmc=0.0, fsfc=0.0, iaer=0, tauaer=0.0, ssaaer=0.0, asmaer=0.0, ecaer=0.0, isolvar=-1, indsolvar=array([1., 1.]), bndsolvar=array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]), solcycfrac=1.0, **kwargs)[source]

Bases: _Radiation_SW

Attributes:
depth

Depth at grid centers (m)

depth_bounds

Depth at grid interfaces (m)

diagnostics

Dictionary access to all diagnostic variables

input

Dictionary access to all input variables

lat

Latitude of grid centers (degrees North)

lat_bounds

Latitude of grid interfaces (degrees North)

lev

Pressure levels at grid centers (hPa or mb)

lev_bounds

Pressure levels at grid interfaces (hPa or mb)

lon

Longitude of grid centers (degrees)

lon_bounds

Longitude of grid interfaces (degrees)

timestep

The amount of time over which step_forward() is integrating in unit seconds.

Methods

add_diagnostic(name[, value])

Create a new diagnostic variable called name for this process and initialize it with the given value.

add_input(name[, value])

Create a new input variable called name for this process and initialize it with the given value.

add_subprocess(name, proc)

Adds a single subprocess to this process.

add_subprocesses(procdict)

Adds a dictionary of subproceses to this process.

compute()

Computes the tendencies for all state variables given current state and specified input.

compute_diagnostics([num_iter])

Compute all tendencies and diagnostics, but don't update model state.

declare_diagnostics(diaglist)

Add the variable names in inputlist to the list of diagnostics.

declare_input(inputlist)

Add the variable names in inputlist to the list of necessary inputs.

integrate_converge([crit, verbose])

Integrates the model until model states are converging.

integrate_days([days, verbose])

Integrates the model forward for a specified number of days.

integrate_years([years, verbose])

Integrates the model by a given number of years.

remove_diagnostic(name)

Removes a diagnostic from the process.diagnostic dictionary and also delete the associated process attribute.

remove_subprocess(name[, verbose])

Removes a single subprocess from this process.

set_state(name, value)

Sets the variable name to a new state value.

set_timestep([timestep, num_steps_per_year])

Calculates the timestep in unit seconds and calls the setter function of timestep()

step_forward()

Updates state variables with computed tendencies.

to_xarray([diagnostics])

Convert process variables to xarray.Dataset format.

_compute_heating_rates()[source]

Prepare arguments and call the RRTGM_SW driver to calculate radiative fluxes and heating rates

_prepare_sw_arguments()[source]