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

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.