Publications

Data fusion of crowdsourced observations and model data for high-resolution mapping of urban air quality.

Schneider, P.; Castell, N.; Vallejo, I.; Vogt, M.; Lahoz, W.

Data fusion for enhancing urban air quality modeling using large-scale citizen science data

O'Regan, Anna C.; Grythe, Henrik; Hellebust, Stig; Lopez-Aparicio, Susana; O’Dowd, Colin; Hamer, Paul David; Santos, Gabriela Sousa; Nyhan, Marguerite M.

Rapid urbanization has led to many environmental issues, including poor air quality. With urbanization set to continue, there is an urgent need to mitigate air pollution and minimize its adverse health impacts. This study aims to advance urban air quality management by integrating a dispersion model output with large-scale citizen science data, collected over a 4-week period by 642 participants in Cork City, Ireland. The dispersion model enabled the identification of major sources of NO2 air pollution while also addressing gaps in regulatory monitoring efforts. Integrating the diffusion tube data with the dispersion model output, we developed a data fusion model that captured localized fluctuations in air quality, with increases of up to 22μg/m3 observed at major road intersections. The data fusion model provided a more accurate representation of NO2 concentrations, with estimates within 1.3μg/m3 of the regulatory monitoring measurement at an urban traffic location, an improvement of 11.7μg/m3 from the priori dispersion model. This enhanced accuracy enabled a more precise assessment of the population exposure to air pollution. The data fusion model showed a higher population exposure to NO2 compared to the dispersion model, providing valuable insights that can inform environmental health policies aimed at safeguarding public health.

Data from long range transported polluted air and deposition. NILU OR

Manø, S.; Berg, T.

Data from long range transported polluted air and deposition. NILU OR

Manø, S.; Berg, T.

Data from long range transported polluted air and deposition. NILU OR

Manø, S.; Berg, T.

Data from long range transported polluted air and deposition. NILU OR

Manø, S.; Berg, T.

Data collection methods for a better understanding of atmospheric emissions

Lopez-Aparicio, Susana

Data assimilation. Making sense of observations.

Lahoz, W.; Khattatov, B.; Ménard, R. (eds.)

Data assimilation: making sense of Earth Observation.

Lahoz, W.; Schneider, P.

Data assimilation: a tool for climate-chemistry studies.

Lahoz, W.A.

Data assimilation within the Air4EU project: the Athens case. Powerpoint presentation. NILU F

Slini, T.; Walker, S.E.; Moussiopoulos, N.

Data assimilation within the Air4EU project: the Athens case.

Slini, T.; Walker, S.E.; Moussiopoulos, N.

Data assimilation of SMOS data: making sense of soil moisture observations. NILU PP

Lahoz, W.A.; Svendby, T.; Sollund, H.