Accounting for Non-Detects: Application to Satellite Ammonia Observations

Presented is a methodology to explicitly identify and account for cloud-free satellite measurements below sensor’s measurement detection level. These low signals can often be found in observations of minor atmospheric species with weak spectral (e.g., ammonia (NH3)). Not accounting these non-detects high-bias averaged locations that exhibit conditions the limit sensor. The approach taken here utilize information content from signal then them consistent approach. applied CrIS Fast Physical Retrieval (CFPR) product results more realistic dataset under where there are significant number non-detects. show larger emission source regions (i.e., surface values > 7.5 ppbv) occur less than 5% time have relatively small impact (decreases by 5%) on gridded annual regions). However, concentration amounts < 1 fraction greater 70%, decrease over 50% make distributions closer what expected based station observations.