METOP GOME-2 data provides global measurements of tropospheric nitrogen dioxide (NO2) concentrations, a key air pollutant. The dataset is generated by DLR for EUMETSAT's AC-SAF using the GOME Data Processor algorithm on observations from three MetOp satellites launched between 2006 and 2018. Measurements are available in near-real-time, approximately two hours after satellite sensing.
Use Cases
- Modeling spatiotemporal trends in tropospheric NO2 column density to identify pollution hotspots.
- Analyzing correlations between satellite-derived NO2 levels and ground-based air quality station data.
- Training models to predict NO2 concentrations using features like latitude, longitude, and observation time.
- Validating chemical transport model outputs against operational NO2 total and tropospheric column products.
- Detecting changes in NO2 emissions from specific regions by analyzing time-series of the retrieved columns.
Strengths
- Data is available in near-real-time, approximately two hours after satellite sensing.
- Provides continuous global monitoring from three satellite instruments launched over a 12-year period.
- Operational products are generated using a defined algorithm (GDP version 4.x) integrated into the UPAS processor.
Limitations
- Specific row count, geographic granularity, and file size are unknown from the provided description.
- Tropospheric column retrieval relies on climatological model profiles, which may introduce systematic bias.
- The temporal coverage and update frequency for the archived dataset are not explicitly stated.
Provenance
- Source
- DLR (German Aerospace Center) for EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF).
- Collection Method
- Retrieved from GOME-2 solar back-scattered measurements in the visible wavelength region using the DOAS method, with tropospheric column derived using an air mass factor based on MOZART-2 model profiles.
- Time Range
- Monitoring from MetOp-A (launched 2006), MetOp-B (2012), and MetOp-C (2018).
- Freshness
- Near-real-time availability (two hours after sensing).
- Geography
- Global