Now with the UT weather data, we can improve the accuracy of our model (hopefully) by including more representative weather data.
The Problem
While our model is rather accurate, we can do more to improve its accuracy (or at least its formulation).
The Solution
The primary ways we can improve the model are by:
including data from UT weather station
including more parameters in our model namely dew point and wind speed and/or direction
For now, we will assume the TCEQ/EPA monitoring sites measure the correct values. However, we should consider days/months during the heaviest part of the shutdown in Austin. This will help to correct for any localized events on campus or the monitoring sites that might have affected concentrations in those areas.
Improvements to Purple Air Correction Model
Now with the UT weather data, we can improve the accuracy of our model (hopefully) by including more representative weather data.
The Problem
While our model is rather accurate, we can do more to improve its accuracy (or at least its formulation).
The Solution
The primary ways we can improve the model are by:
For now, we will assume the TCEQ/EPA monitoring sites measure the correct values. However, we should consider days/months during the heaviest part of the shutdown in Austin. This will help to correct for any localized events on campus or the monitoring sites that might have affected concentrations in those areas.