Calibration & QA/QC

Clarity’s Lab Team is excited to release version 2.1 of our PM2.5 Global Calibration! v2.1 improves upon the powerful v2 PM2.5 Global Calibration by increasing accuracy during high-pollution events. In this blog post, we explain how we developed this new calibration and share performance metrics that show a significant improvement in sensor accuracy, especially during periods with elevated pollutant concentrations.

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.

At Clarity, we’ve heard your feedback: organizations need an easy, impactful way to share real-time air quality data with communities and stakeholders. Whether it’s about protecting public health, raising awareness, or building trust, data-sharing should be simple and effective. That’s why we’re thrilled to announce our new and improved OpenMap, our revamped platform designed to turn your air pollution measurement data into actionable air quality awareness and insights — without the need for costly or complex third-party solutions.

Our Quality Control (QC) Assessment and QC Flags features, previously available on the Clarity Dashboard, are now fully integrated into our Air Monitoring API and historical air quality data report downloads in the Clarity Dashboard.

As part of our ongoing commitment to the quality of the data provided by our air quality measurement equipment, we are thrilled to announce the release of automated quality control (QC) features on the Clarity Dashboard. This enhancement marks a significant milestone in our ability to provide cost-effective, accurate, and trustworthy air quality data to our customers globally.

This blog provides a recap of our recent webinar on the RAC Air Health Monitor, Australia's largest and most advanced air sensor network. Hosted by David Lu, co-founder and CEO of Clarity, the session featured key insights from Julian and David from the Royal Automobile Club (RAC) of Western Australia, and Martin from Ramboll.

We are thrilled to announce that starting April 2024, the South Coast Air Quality Management District (South Coast AQMD) is now integrating data from Clarity’s Node-S air quality sensors into their cutting-edge, real-time Air Quality Index (AQI) model. This model operates across a detailed grid of 1,218 cells, each 5 kilometers square, providing localized air quality updates to the residents of the South Coast AQMD region.

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.

We asked Drew Hill, Data Science & Applied Research Lead at Aethlabs to help us take a deep dive into black carbon air pollution, exploring the science behind this air pollutant, its origins, its impacts, and the urgency & importance of accurate black carbon measurement.

This certification marks a significant milestone, ensuring that Clarity's monitors meet the highest data quality standards and can be relied upon for indicative ambient air quality measurements. The MCERTS certification comes as no surprise given Clarity’s impressive collocation results around the world, but this independent qualitative and quantitative verification for our air quality measurements reinforces Clarity's commitment to providing the most accurate and reliable air quality monitoring solutions on the market.