Input Parameters[edit | edit source]

This table lists default parameters for the Python RTM wrappers v0.2. It is accurate as of September 2012, but for the best reference check the source code:

You can always see your particular installation's default input parameters. They are in a dictionary called defaults in rtm.settings

phil@ubuntu:~$ python
Python 2.7.3 (default, Aug  1 2012, 05:14:39) 
[GCC 4.6.3] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import rtm
>>> for setting in rtm.settings.defaults.items():
...     print('{0: <26}{1}'.format(*setting))

The above code should print out a formatted table of setting defaults. The table below is most useful for checking whether a setting is supported in SBdart or SMARTS, and for the notes.

Parameter Default Unit SMARTS SBdart Notes
description 'Default Config' yes yes
solar_constant 1367 W/m^2 yes -
season 'summer' summer or winter yes - very tiny effect
time parsedt('2012-10-11 12:00:00 -0500') yes yes time zone is important! must be a python datetime object (in the default case, parsedt has already been imported from dateutil.parser import parse as parsedt
latitude 44 degrees yes yes north-positive
longitude 283.7 degrees yes yes east-positive!
elevation 0 metres??? yes yes unit should be double-checked
surface_type 'vegetation' yes yes see below
single_scattering_albedo 0.8 yes yes
atmosphere 'sub-arctic summer' yes yes see below
average_daily_temperature 15 degrees C yes -
temperature 15 degrees C yes - used in the wrapper's Relative Humidity calculation for SBdart
pressure 1013.25 mb yes yes
relative_humidity 35 % yes yes
angstroms_coefficient 0.08 yes yes
angstroms_exponent 1.1977 yes yes
aerosol_asymmetry 0.6 yes yes
boundary_layer_ozone 0.3 atm-cm yes yes
carbon_dioxide 390 ppm yes yes
methane 0.2 ppm yes yes
carbon_monoxide 0 ppm yes yes
sulphur_dioxide 0.01 ppm yes yes
nitric_oxide 0.075 ppm yes yes
nitric_acid 0.001 ppm yes yes
nitrogen_dioxide 0.005 ppm yes yes
tropospheric_ozone 0.0023 yppm yes yes
formaldehyde 0.001 ppm yes -
nitrous_acid 0.0005 ppm yes -
nitrogen_trioxide 1e-5 ppm yes -
nitrogen 781000 ppm - yes
oxygen 209000 ppm - yes
nitrous_oxide 0.32 ppm - yes
amonia 5e-4 ppm - yes
cloud_altitude 2 km - yes bottom of cloud layer. Cloud settings suggested by QIW. SMARTS does not support cloud cover.
cloud_thickness 1 km - yes
cloud_optical_depth 0 - yes
lower_limit 0.28 um yes yes Spectral limits and resolutions have restrictions; check the SMARTS and SBdart documentation.
upper_limit 2.8 um yes yes
resolution 0.01 um yes yes Check RTM documentation. Actual computed resolution may be dependent on the spectral range of the output.

Pollution Settings[edit | edit source]

The SMARTS documentation suggests four sets of gas concentrations to approximate different levels of pollution. The default PyRTM gas settings are based on the suggested values for light pollution.

All of the suggested gas combinations are included with PyRTM for convenience. They may be accessed through a dictionary in the settings module: rtm.settings.pollution.

As above, always check the source code for the latest reference values. The following table is correct as of September 2012:

Polution Level formaldehyde methane carbon_monoxide nitrous_acid nitric_acid nitric_oxide nitrogen_dioxide nitrogen_trioxide tropospheric_ozone sulphur_dioxide
pristine -0.003 0 -0.1 -9.9e-4 0 0 0 -4.5e-4 -0.007 0
light_pollution 0.001 0.2 0 0.0005 0.001 0.075 0.005 1e-5 0.023 0.01
moderate 0.007 0.3 0.35 0.002 0.005 0.2 0.02 5e-5 0.053 0.05
severe 0.01 0.4 9.9 0.012 0.5 0.2 2e-4 0.175 0.2

Pollution Settings Example[edit | edit source]

Create a SMARTS model with the moderate pollution settings:

phil@ubuntu:~$ python
Python 2.7.3 (default, Aug  1 2012, 05:14:39) 
[GCC 4.6.3] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import rtm
>>> moderate_model = rtm.SMARTS(rtm.settings.pollution['moderate'])

Verify the settings have been applied:

>>> moderate_model
{'description': 'Default Config', 'nitrogen_trioxide': 5e-05, 'sulphur_dioxide': 0.05,
'nitric_acid': 0.005, 'longitude': 283.7, 'nitrogen_dioxide': 0.02, 'latitude': 44, 'f
ormaldehyde': 0.007, 'tropospheric_ozone': 0.053, 'time': datetime.datetime(2012, 10, 
11, 12, 0, tzinfo=tzoffset(None, -18000)), 'nitrous_acid': 0.002, 'carbon_monoxide': 0
.35, 'nitric_oxide': 0.2, 'methane': 0.3}

Switch the model to the sever pollution settings:

>>> moderate_model.update(rtm.settings.pollution['severe'])

Verify the gasses have changed...

>>> moderate_model
{'description': 'Default Config', 'nitrogen_trioxide': 0.0002, 'nitrogen_dioxide': 0.2
, 'nitrous_acid': 0.01, 'formaldehyde': 0.01, 'sulphur_dioxide': 0.2, 'nitric_acid': 0
.012, 'longitude': 283.7, 'nitric_oxide': 0.5, 'carbon_monoxide': 9.9, 'tropospheric_o
zone': 0.175, 'time': datetime.datetime(2012, 10, 11, 12, 0, tzinfo=tzoffset(None, -18
000)), 'latitude': 44, 'methane': 0.4}

Outputs[edit | edit source]

Properties[edit | edit source]

Irradiance and Spectrum[edit | edit source]

Integrated broadband irradiance is available for all outputs on both SMARTS and SBdart via the irradiance attribute.

>>> model_instance.irradiance['global']
>>> model_instance.spectrum['direct']
array([  2.97600000e-22,   8.31100000e-07,   2.74400000e-01,
         1.35100000e+01,   6.62500000e+01,   1.49100000e+02,
         1.75200000e+02,   1.95300000e+02,   2.39800000e+02])

Output Models[edit | edit source]

type SMARTS SBdart notes
global yes yes
direct yes no will be implemented soon
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Authors Philip Schleihauf
Published 2012
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