I’m glad it works for you.

The code makes the UNBC and LRAPA corrections to PM2.5.  Both are useful when 
PM2.5 particles are dominated by wood fire particles (winter heating or wild 
fires).

For example, $current.pm2_5 in a report give the current PM2.5 value.  
Specifying $current.pm2_5_lrapa gives you the current LRAPA corrected PM2.5 
value.  Ditto for AQI where $current.pm2_5_lrapa_aqi gives you the Air Quality 
Index using the LRAPA corrected PM2.5 value.

See the implementations of the following methods in purple.py for the 
calculations:
def compute_pm2_5_lrapa(pm2_5):
def compute_pm2_5_unbc(pm2_5):

John

> On Sep 28, 2020, at 12:32 PM, weather list <[email protected]> wrote:
> 
> This works nicely but I have not puzzled out the UNBC and LRAPA labels. Are 
> these just naming conventions to distinguish those authorities’ values, or is 
> there a calculation in the code (which I am not good enough to find) to 
> produce a result according to their standards?
> 
> I’m running:
> Weatherflow Tempest
> WeeWx 4.1.1
> Python 3.7
> Raspian Desktop Buster
> Belchertown 1.2
> 
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