Tribal air quality programs face unique challenges in achieving accurate and reliable pollution monitoring across diverse environments. This presentation introduces Clarity Movement Co.’s V2 Global Calibration Model for PM2.5, a breakthrough in sensor calibration designed to address these challenges. Built on a global dataset of over 2.4 million hours of air quality measurements from 600+ sensors in 84 cities, the V2 model enhances sensor accuracy under varied environmental and pollutant conditions. Employing a multiple linear regression approach, the model optimizes performance through innovative features, such as interaction terms between PM readings and environmental factors.
Performance metrics show a 7% increase in median R² and a 12% reduction in median RMSE, even in areas without access to Federal Equivalent Method (FEM) instruments. Attendees will learn how tribal programs can leverage low-cost, solar-powered air quality sensors that use this model to improve data coverage and protect community health.
Zoom Recording ID: 81288424408
UUID: MCcWVvFATdKdGBbxWC+tcA==
Meeting Time: 2025-05-20 10:25:08pmGMT
