For more than 20 years, Sonoma Technology meteorologists have produced air quality forecasts for a range of pollutants to support agencies across the United States.
Rely on Sonoma Technology’s forecasting experience, advanced models, and statistical tools to produce accurate and timely forecasts. From localized wintertime wood burning PM2.5 impacts, to summertime regional ozone events, to PM10 dust episodes, Sonoma Technology addresses the concerns for specific regions.
Get the air quality information you need to address public and media inquiries and educate community members. Our forecasters provide up-to-date meteorological and air quality information.
Predict wildfire smoke impacts on air quality. Because smoke can have a significant and sudden impact, Sonoma Technology monitors fires daily and uses a customized in-house model that incorporates satellite-based fire detections to predict local- to national-scale smoke impacts on air quality.
Engage and inform the public with informative, customized websites, apps, graphics, and videos that show current and forecasted pollution levels.
Better predict pollution levels using our automated statistical tools, which forecast Air Quality Index (AQI) levels based on predicted meteorological conditions. Sonoma Technology meteorologists employ machine learning (ML) algorithms to identify the meteorological parameters that are the best predictors of air quality for specific regions. These ML-based tools can be used to predict pollutant concentrations for ozone, PM2.5, or PM10; they can also be used to develop decision trees that help guide forecasters' decisions to issue air quality alert days.
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