Regression model developed for the LOTUS project
Project description
LOTUS Regression
A multi-linear regression model specifically designed for use in calculation of trends for atmospheric constituents. Developed as part of the LOTUS initiative (https://www.sparc-climate.org/activities/ozone-trends/, https://lotus.aeronomie.be)
Installation Requirements
The code is tested on Python versions 3.8, 3.9, 3,10, 3.11 and should work on any of them,
however we recommend using the Anaconda python distribution.
Documentation
For more indepth documentation see http://arg.usask.ca/docs/LOTUS_regression/
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