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Differential correction technique for removing common errors in gas filter radiometer measurements.

H A Wallio, C C Chan, B B Gormsen

|August 31, 2010

Summary

The Measurement of Air Pollution from Satellites (MAPS) experiment improved carbon monoxide (CO) measurements using nitrous oxide (N2O) as a reference. This method enhances data accuracy and increases the usability of satellite-derived atmospheric composition data.

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Area of Science:

Atmospheric Science
Remote Sensing
Environmental Monitoring

Background:

The Measurement of Air Pollution from Satellites (MAPS) experiment utilizes a gas filter radiometer to measure carbon monoxide (CO) mixing ratios.
Nitrous oxide (N2O) is measured concurrently to serve as a reference channel for atmospheric emitting temperature and cloud detection.

Purpose of the Study:

To develop and validate equations for correcting radiometric signals using N2O data.
To reduce errors in inferred CO mixing ratios derived from satellite measurements.

Main Methods:

Formulation of correction equations based on N2O spatial and temporal uniformity.
Application of developed equations to the MAPS 1984 dataset.
Error analysis to quantify improvements in CO mixing ratio estimations.

Main Results:

The developed equations significantly reduce errors in CO mixing ratio calculations.
Application to the MAPS 1984 data resulted in a more accurate frequency distribution of CO mixing ratios.
The number of usable data points for CO analysis was substantially increased.

Conclusions:

The N2O correction method enhances the accuracy and reliability of satellite-based CO measurements.
This technique improves the quality of atmospheric composition data, supporting climate and air quality research.
The study demonstrates a valuable approach for refining satellite remote sensing data for environmental applications.