Pollution data needs the wind
Pollutant monitors tell you what is in the air. Wind and weather measurements help explain where it came from, how it may disperse and why concentrations change. Gill provides the meteorological data that complements air quality monitoring, from routine site measurements to detailed dispersion research.
Why does air quality monitoring need wind data?
An air quality monitor records how much of a pollutant is present. Wind data explains where it came from and why it changed. Wind direction points to likely sources, wind speed and turbulence govern how emissions disperse, and temperature, humidity and pressure add context. Measured at the same place, the two data sets explain each other.
A rise in particulate matter or nitrogen dioxide tells you concentrations have changed. Understanding why requires more information.
Wind direction helps identify potential pollution sources. Wind speed and turbulence influence how emissions disperse. Temperature, humidity and pressure provide further context for interpreting changes.
Without reliable meteorological data alongside pollutant measurements, monitoring networks have less information to explain what they record.
Gill measures the wind and weather. Dedicated air quality instruments measure the pollutants.
Meteorological parameters
Air quality is a combination of emissions and meteorology. Wind direction, speed, turbulence, atmospheric stability and the monitor’s location all shape what the instrument records.
The same source can produce very different readings on different days, depending on how the air moves. That is why air quality networks and dispersion studies measure the weather at the same place as the pollution.
Wind direction
Combining wind direction with pollutant concentrations helps investigators identify potential sources and the directions associated with elevated readings.
Wind speed
Wind speed provides important context for understanding how emissions move and disperse around a monitoring site.
Turbulence
Dispersion studies may require three-dimensional wind measurements to characterise turbulent air movement and support more detailed analysis.
Other meteorological parameters
Temperature, humidity and pressure add context to pollutant data. The parameters required depend on the monitoring objectives and equipment configuration.
Measurement options
Routine air quality monitoring and atmospheric dispersion research do not always require the same level of detail. The appropriate approach depends on the purpose of the study, site conditions and the data required.
| Consideration |  Wind speed and direction |  Wind and weather in one unit |  Three-dimensional wind measurement |
|---|---|---|---|
| Best for | Routine monitoring and existing networks | Monitoring stations requiring multiple parameters | Dispersion studies and atmospheric research |
| How it works | Add wind measurement to an existing pollutant monitor or data logger. WindSonic provides ultrasonic wind speed and direction measurement without moving parts. | MaxiMet compact weather stations combine wind measurement with additional meteorological parameters, depending on the model. They provide a single installation point for a broader weather record alongside pollutant monitoring. | WindMaster and the Research range measure three wind components, supporting applications where turbulence and detailed air movement are important to the analysis. |
System requirements
Monitoring objectives
Routine network monitoring, source investigation and dispersion research can have different measurement requirements. Establish the intended use of the data before selecting the sensor.
Sensor location
Buildings, trees and other structures can influence local airflow. Sensor position and mounting need to reflect the monitoring objectives and the site layout.
Data and integration
Consider the required parameters, sampling and logging requirements, outputs and compatibility with the existing monitoring system.
Measurement detail
Wind speed and direction may be sufficient for routine monitoring. Research applications may require three-dimensional wind measurements and higher-rate data capture.
Gill products for air quality monitoring
MaxiMet
Compact weather stations
Combine wind with temperature, humidity, pressure and other parameters, depending on the model. A compact option for monitoring sites that need a broader meteorological record.
WindSonic
Wind speed and direction
A low-power ultrasonic sensor for adding wind measurement to an existing air quality station or logger.
WindMaster
Three-dimensional wind measurement
Measures three wind components for applications requiring detailed analysis of air movement and turbulence.
insight
Pollution roses and wind direction
A pollution rose combines pollutant concentrations with wind direction to show how readings vary according to the direction from which the air arrives. It can help investigators identify potential source directions and focus further analysis.
The value of that analysis depends on the quality of both datasets. Poorly sited wind sensors can record airflow that does not represent conditions at the pollutant monitor, while limitations in directional measurement can affect how the results are interpreted.
Ultrasonic wind sensors have no moving wind vane to stick in light winds. WindSonic measures direction through 360 degrees without a directional dead band, helping provide the wind data needed for this type of analysis.
The resulting datasets can support dispersion modelling, compliance reporting and investigation of air quality complaints, subject to the requirements of the specific application.
The full explanation is in What is the difference between a weather station and a wind sensor?
Related applications and resources
Application noteAccurate air quality monitoring
Read the application note on Gill wind sensors for air quality monitoring.
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IndustryResearch and environment
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Speak to our team
Tell us what you need to measure, where and under what conditions. We’ll help you work out the appropriate approach.
Frequently asked questions
Wind speed and direction help explain how pollutants may move from their source and why measured concentrations vary across a site. Combined with pollutant measurements, meteorological data can help identify potential sources, interpret monitoring results and support investigations into pollutant dispersion.
Gill specialises in wind and weather measurement rather than direct measurement of pollutants such as particulate matter, nitrogen dioxide or ozone. Gill anemometers and weather stations provide meteorological data that can complement dedicated air quality sensors within a wider monitoring system.
The appropriate instrument depends on the monitoring objective, required measurement detail, site conditions and data system. MaxiMet combines multiple meteorological measurements in a compact weather station, WindSonic provides two-axis ultrasonic wind measurement, and WindMaster measures three-dimensional wind for applications requiring additional directional or vertical-flow information. Check the individual model specifications against the project requirements.
A pollution rose combines pollutant concentrations with wind direction, and sometimes wind speed, to show how measured pollution varies with the conditions from which air arrives. It can help investigators identify potential source directions and patterns for further analysis. It does not, on its own, prove the source of a pollutant.
Sensor position should reflect the purpose of the study, the surrounding buildings and obstacles, likely pollutant sources, prevailing winds and the applicable monitoring method. Obstructions and disturbed airflow can affect measurements. For regulatory or research monitoring, follow the relevant project specification and applicable siting guidance rather than relying on a generic mounting height.
Yes. Wind speed and direction provide important meteorological inputs to dispersion modelling, while other weather variables may also be required depending on the model and application. The required measurements, sampling intervals, averaging periods and data quality depend on the modelling method and study objectives.
A two-axis ultrasonic anemometer measures horizontal wind speed and direction. A three-axis model also measures the vertical wind component, making it suitable for applications that require three-dimensional airflow information. The appropriate choice depends on whether the monitoring objective needs horizontal wind data alone or a fuller picture of airflow.