RRTMG_LW
- class climlab.radiation.rrtm.rrtmg_lw.RRTMG_LW(icld=1, irng=1, idrv=0, permuteseed=300, inflglw=2, iceflglw=1, liqflglw=1, tauc=0.0, tauaer=0.0, return_spectral_olr=False, **kwargs)[source]
Bases:
_Radiation_LW
- 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 givenvalue
.add_input
(name[, value])Create a new input variable called
name
for this process and initialize it with the givenvalue
.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 statevalue
.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, timeave])Convert process variables to
xarray.Dataset
format.