What question did this study set out to answer?

To develop a new high-resolution NO2 dataset that accurately estimates surface-level concentrations using satellite data.

June 3, 2026Open Access

A high-resolution and observationally constrained OMI NO2 satellite retrieval

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Observationally constrained satellite retrieval improves surface NO2 estimates in urban areas, indicating better air quality evaluation methods.

To develop a new high-resolution NO2 dataset that accurately estimates surface-level concentrations using satellite data.
Utilized NASA Ozone Monitoring Instrument (OMI) NO2 version 3.0 data for calculations.
Applied a high-resolution Community Multi-scale Air Quality (CMAQ) model constrained by in situ observations during summertime.
Compared the new dataset to operational NASA products and ground-level NO2 measurements from EPA monitors.
OMI NO2 columns in city centers increased by up to 160% compared to operational data.
Improved correlation with EPA NO2 monitors: r2 = 0.60 vs. r2 = 0.39 in the operational product.
Demonstrated methodology that enhances satellite data accuracy in regions with variable NOx emissions.

Goldberg et al. (2017) studied this question.

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Observationally constrained satellite retrieval improves surface NO2 estimates in urban areas, indicating better air quality evaluation methods.