10 unique US-based low-cost sensor networks provide harmonized air quality data within an open access framework. The LARC_CLOUD organization collects and reformats this data, embedding metadata and applying a tiered quality review system with data quality flags. Data collection for this product is ongoing.
Use Cases
- Validate satellite-derived pollutant concentrations using ground-based sensor measurements flagged for quality.
- Analyze temporal trends in specific pollutants by searching data by date range and pollutant of interest.
- Compare sensor performance and calibration methods across different networks using the embedded tier and metadata.
- Model local air pollution dispersion by integrating sensor data filtered by geographic location and calibration criteria.
Strengths
- Data from 10 distinct sensor networks provides multiple sources for comparison.
- A tiered review system and data quality flags help users assess dataset suitability for their application.
- Common data format with embedded metadata streamlines processing and integration.
Limitations
- Geographic coverage is currently limited to the United States, introducing regional bias.
- Data quality is dependent on the calibration efforts of each contributing network, which may vary.
- The exact number of sensor stations, rows of data, and temporal range are not specified.
Provenance
- Source
- Low-Cost Air Quality Sensor Harmonization Database, collected by the LARC_CLOUD organization.
- Collection Method
- Measurements amalgamated from multiple low-cost sensor networks, reformatted into a common format with embedded metadata.
- Time Range
- null
- Freshness
- Data collection is described as ongoing, but a specific update frequency or last update date is unknown.
- Geography
- United States