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RTMSuite

Time-series atmospheric data in -> optimized AOD and cloud thickness and spectrum out.

Setting Up

You'll want to have RTM set up to make use of any of this https://github.com/Queens-Applied-Sustainability/PyRTM

Create a directory some where.

You'll need to reate an info.yaml file there containing global settings. At a bare minimum it should look like this:

latitude: 39.74
longitude: -105.18

Valid settings are any of those found in rtm.settings (https://github.com/Queens-Applied-Sustainability/PyRTM/blob/master/rtm/settings.py).

Settings in info.yaml will be applied globally to the rtm models. Global settings take a low precedence and will be overridden by anything also defined in the time-series CSV.

Testing

Use nose, and for a quick check run nosetests -a '!slow'.

nosetests alone will run all tests including ones using sbdart, which takes ages.