METOP GOME-2 Formaldehyde data provides global measurements of atmospheric HCHO total columns, a key indicator of pollution and volatile organic compound activity. The dataset is generated by the German Aerospace Center (DLR) for EUMETSAT's AC-SAF using the GOME Data Processor algorithm. Observations are available from three MetOp satellites launched in 2006, 2012, and 2018, with near-real-time products delivered within two hours of sensing.
Use Cases
- Model global isoprene and other VOC emissions by analyzing spatial and temporal patterns in HCHO total column data.
- Monitor regional pollution events and industrial activity by detecting anomalies in HCHO concentration time-series.
- Validate and improve atmospheric chemistry models by comparing simulated HCHO fields against satellite-retrieved total columns.
- Study long-term trends in atmospheric composition by analyzing the multi-decadal HCHO record from the GOME instrument series.
Strengths
- Provides near-real-time data availability within two hours of satellite sensing.
- Continues a long-term monitoring record started with earlier GOME and SCIAMACHY instruments.
- Global spatial coverage from three operational MetOp satellites.
Limitations
- Specific row count, file size, and temporal resolution details are not provided in the input.
- Data quality can be affected by cloud cover, which interferes with satellite retrievals.
- The algorithm and processor version (GDP 4.x/UPAS) may introduce specific biases requiring expert understanding.
Provenance
- Source
- German Aerospace Center (DLR) for EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF).
- Collection Method
- Satellite remote sensing using the GOME-2 instrument on MetOp-A, -B, and -C, with processing via the GDP algorithm in the UPAS processor.
- Time Range
- Observations from MetOp-A (launched 2006), MetOp-B (2012), and MetOp-C (2018) onward.
- Freshness
- null
- Geography
- Global