water_vapor

Inheritance diagram of climlab.radiation.water_vapor
class climlab.radiation.water_vapor.FixedRelativeHumidity(relative_humidity=0.77, qStrat=5e-06, **kwargs)[source]

Bases: climlab.process.diagnostic.DiagnosticProcess

Compute water vapor mixing ratio profile Assuming constant relative humidity.

relative_humidity is the specified RH. Same value is applied everywhere. qStrat is the minimum specific humidity, ensuring that there is some water vapor in the stratosphere.

The attribute RH_profile can be modified to set different vertical profiles of relative humidity (see daughter class ManabeWaterVapor() ).

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.
class climlab.radiation.water_vapor.ManabeWaterVapor(**kwargs)[source]

Bases: climlab.radiation.water_vapor.FixedRelativeHumidity

Compute water vapor mixing ratio profile following Manabe and Wetherald JAS 1967 Fixed surface relative humidity and a specified fractional profile.

relative_humidity is the specified surface RH qStrat is the minimum specific humidity, ensuring that there is some water vapor in the stratosphere.

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.