UK Air Quality, Weather, and Pollen Measurements with Model Forecasts, 2016-2019

Daily mean and maximum measurements for air pollutants, meteorological variables, and pollen across the UK from 2016 to 2019. The dataset includes ground observations from the DEFRA AURN and Met Office MIDAS networks, alongside EMEP model forecasts for pollutants. It was compiled by Douglas Lowe of the University of Manchester and is presented in CSV format with original and imputed versions.

Use Cases

• Modeling daily air pollution exposure based on ground measurements and EMEP model forecasts.
• Analyzing correlations between meteorological conditions like temperature and humidity and pollutant concentrations.
• Studying seasonal pollen counts for specific species like betula (birch) or poaceae (grasses) across UK sites.
• Validating and comparing the performance of the EMEP atmospheric model against ground-based sensor data.

Strengths

• Covers a four-year time range from 2016 to 2019, inclusive.
• Combines three data types: measured air quality, meteorological data, and pollen counts.
• Includes both measured data and model forecasts for key pollutants like PM2.5 and O3.
• Provides data quality flags indicating the fraction of imputed hourly values for each daily measurement.

Limitations

• Row count and file size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

DEFRA AURN network, Met Office MIDAS archives via MEDMI server, and EMEP model runs.

Collection Method

Data downloaded and processed using tools available on Zenodo, with EMEP model forecasts generated using the NAEI 2016 UK emission dataset.

Time Range

2016-2019

Geography

United Kingdom