MGGA and pMGGA: Greenhouse Gas Analyzer Sensor Calibration Data

Processed MATLAB files for calibrating ABB's Micro-portable Greenhouse Gas Analyzer (MGGA) and a prototype version (pMGGA). The data supports the analysis in the journal article 'Testing the near-field Gaussian plume inversion flux quantification technique using unmanned aerial vehicle sampling' published in Atmospheric Measurement Techniques. Adil Shah from the University of Manchester authored the dataset.

Use Cases

• Calibrating greenhouse gas sensor readings based on the described sampling methodology.
• Validating near-field Gaussian plume inversion models for flux quantification as referenced in the journal article.
• Characterizing the performance of portable gas analyzers like the ABB MGGA and its prototype.

Strengths

• Data is linked to a peer-reviewed journal article in Atmospheric Measurement Techniques, providing a research context.
• Focuses on specific, named sensor models (ABB MGGA and pMGGA) for characterization.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Manchester, author Adil Shah.

Collection Method

Sampling used for sensor calibration and characterization, likely involving unmanned aerial vehicles as per the linked article.