My 1st 1st-authored paper just dropped! We report the first-ever ambient PM2.5 data from Togo. Daily/weekly patterns are governed by (anthro) local influences, but the baseline is driven up by the (natural) Harmattan which makes AQ levels very unhealthy.
https://t.co/XpTB1pRL3F
Thanks for the feature, @columbiaclimate! Iโm so honored to be here at @LamontEarth working with partners near and far on solving our most pressing environmental problems ๐๐๐ https://t.co/XuBOSKmnLi
@geocuriosity The LCSs in this study were used to analyze PM concentrations. Looking at temporal patterns of PM concentrations we indirectly made assumptions about emissions sources. I myself, however, am not familiar with work using LCSs to directly attribute PM to a particular source.
I made an adult Twitter to tweet about adult things like my new paper: โApplication of Gaussian Mixture Regression for the Correction of Low-Cost PM2.5 monitoring dataโ so here I am doing that. Cool statistical model aside, arenโt my figures pretty?!?
https://t.co/KUNqkLEfdx
@geocuriosity This method essentially learns multiple calibration methods and uses probability to decide which/how to apply the given methods itโs formed. This brings increased hope to reliable data across site transfers and more accessible high quality data