Wisconsin Air Quality Measurements from Low-Cost Sensor Network

Love my Air Wisconsin sensor network provides ground-level air quality data as part of a harmonization database integrating 10 unique US-based networks. Data is reformatted into a common format with embedded metadata and quality flags based on a calibration review tier system. Collection for this product is ongoing.

Use Cases

• Validate satellite-derived air pollution estimates using ground-level sensor measurements from Wisconsin.
• Analyze temporal trends in specific pollutants (e.g., PM2.5, NO2) using the time-series data from network sensors.
• Compare data quality across different sensor networks using the embedded calibration tier and data quality flags.
• Model local air pollution dispersion by integrating sensor location metadata and pollutant concentration readings.
• Assess sensor network performance by examining data flagged through the critical review process for calibration efforts.

Strengths

• Data is harmonized from 10 unique US-based sensor networks into a single open-access framework.
• Includes a tiered quality system with data quality flags based on critical review of each network's calibration.
• Common data format with embedded metadata streamlines processing and comparison across networks.

Limitations

• Specific sample size, temporal range, and geographic coverage for the Wisconsin network are unknown.
• Data quality is variable and dependent on the calibration efforts of each contributing sensor network.
• The dataset's completeness for pollutants of interest across all locations is unspecified.

Provenance

Source

Low-Cost Air Quality Sensor Harmonization Database, NASA Earthdata (LARC_CLOUD).

Collection Method

Ground site data collected by the Love my Air Wisconsin low-cost sensor network, reformatted and harmonized.

Time Range

null

Freshness

Data collection is described as ongoing.

Geography

Wisconsin, United States.