Articles | Volume 17, issue 3
Research article
13 Feb 2024
Research article |  | 13 Feb 2024

Towards a hygroscopic growth calibration for low-cost PM2.5 sensors

Milan Y. Patel, Pietro F. Vannucci, Jinsol Kim, William M. Berelson, and Ronald C. Cohen

Data sets

Datasets Used in this Work Milan Y. Patel

Model code and software

Example Code for the Calibration Developed in this Work Milan Y. Patel

Short summary
Low-cost particulate matter (PM) sensors are becoming increasingly common in community monitoring and atmospheric research, but these sensors require proper calibration to provide accurate reporting. Here, we propose a hygroscopic growth calibration scheme that evolves in time to account for seasonal changes in hygroscopic growth. In San Francisco and Los Angeles, CA, applying a seasonal hygroscopic growth calibration can account for sensor biases driven by the seasonal cycles in PM composition.