A novel satellite optical sensing system for atmospheric NO2: motivation, concept design, and instrument modelling
Health officials, policymakers and the public are increasingly aware of the dangers of long-term exposure to air pollution. Nitrogen dioxide (NO<sub>2</sub>) is an air pollutant that is directly linked with human respiratory diseases and indirectly linked via the role of NO<sub>2</sub> in the production of surface ozone and particulate matter. Current NO<sub>2</sub> monitoring networks depend largely on stationary systems sampling air locally, but these lack adequate spatial coverage to fully characterise how pollution varies throughout a city on a street-by-street level. Because NO<sub>2</sub> is typically co-emitted with CO<sub>2</sub> during high-temperature combustion, detecting NO<sub>2</sub> plumes can also be used effectively to improve estimates of CO<sub>2</sub> emissions from human activities. There is therefore an urgent need to develop NO<sub>2</sub> monitoring systems that will deliver data with high spatial and temporal coverage to improve actionable information about air pollution and carbon emissions. Here, we introduce SNEEZI (Sensing NO<sub>2</sub> Emissions to Evaluate net-Zero Initiatives) – a project to develop a lightweight NO<sub>2</sub> spectral imaging instrument designed for deployment on a constellation of small satellites to allow for NO<sub>2</sub> monitoring with high spatial and temporal resolution. We present the initial optical design for the system, as well as modelled instrument performance.
Authors
- Paul I. Palmer (ORCID: https://orcid.org/0000-0002-1487-0969)
- William Brzozowski
- Ranvir Dhillon
- Jerome Woodwark
- Joshua Vande Hey (ORCID: https://orcid.org/0000-0001-5895-8594)
- Anna Michalska (ORCID: https://orcid.org/0000-0002-9292-589X)
- Frances McGinley
- Andrew M. Matheson
Institutions
- University of Leicester (GB)
- Royal Observatory (GB)
- University of Edinburgh (GB)
Publication Details
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1117/12.3036071
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Science and Technology Facilities Council