Accounting for Non-Detects: Application to Satellite Ammonia Observations
Evan White1,2, Mark W Shephard1, Karen E Cady-Pereira3
1Environment and Climate Change Canada, Toronto, ON M3H 5T4, Canada.
This study introduces a method to accurately analyze satellite measurements of atmospheric ammonia (NH3), especially when signals are weak. Properly accounting for undetected measurements improves data accuracy, particularly in low-concentration areas.
Area of Science:
- Atmospheric Science
- Remote Sensing
- Environmental Monitoring
Background:
- Satellite measurements of minor atmospheric species like ammonia (NH3) often contain signals below the sensor's detection limit.
- Failure to account for these
- non-detects
Purpose of the Study:
- To develop and apply a methodology for explicitly identifying and accounting for sub-detection limit satellite measurements.
- To improve the accuracy of averaged satellite data for atmospheric species with weak spectral signals.
- To assess the impact of non-detects on ammonia (NH3) concentration data derived from satellite observations.
Main Methods:
- Utilizing information content from satellite signals to identify non-detects.
- Applying a consistent approach to account for these identified non-detects.
- Implementing the methodology on the CrIS Fast Physical Retrieval (CFPR) ammonia product.
Main Results:
- In high ammonia (NH3) emission regions (> 7.5 ppbv), non-detects are infrequent (<5%) and have a minor impact (<5% decrease) on averaged values.
- In low ammonia (NH3) concentration regions (< 1 ppbv), non-detects can exceed 70% of measurements.
- Accounting for non-detects in low-concentration areas can decrease annual averaged values by over 50%, aligning distributions with surface observations.
Conclusions:
- The developed methodology provides a more realistic averaged dataset for ammonia (NH3) by addressing undetected measurements.
- Accurate handling of non-detects is crucial for reliable satellite-based atmospheric composition studies, especially for species with weak signals.
- The findings highlight the significant impact of undetected data on satellite-derived ammonia (NH3) concentrations in regions with low ambient levels.
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