Clarity Calibration Models

The global NO₂ model offers a practical and scalable solution for indicative monitoring by applying a machine-learning-based correction to all Clarity Nodes, especially in regions where traditional reference equipment may not be available. In this post, we’ll walk you through how we built the model, how it performs, and how it can support your air quality initiatives.

Clarity’s Lab Team is excited to release version 2 of our patent-pending PM2.5 Global Calibration! This new and improved version is trained on a much larger dataset of collocated measurements from all over the world, enhancing the calibration’s performance in diverse environments. In this blog post, we explain how we developed this new calibration and share performance metrics that show a significant improvement in sensor accuracy.

With droughts intensifying and record-setting heat plaguing Western North America, we have developed an improved correction model for the 2021 wildfire season.