Publications

Shi, YR; Levy, RC; Remer, LA; Mattoo, S; Arnold, GT (2024). Investigating the Spatial and Temporal Limitations for Remote Sensing of Wildfire Smoke Using Satellite and Airborne Imagers During FIREX-AQ. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 129(2), e2023JD039085.

Abstract
Starting from point sources, wildfire smoke is important in the global aerosol system. The ability to characterize smoke near-source is key to modeling smoke dispersion and predicting air quality. With hemispheric views and 10-min refresh, imagers in Geostationary (GEO) orbit have advantages monitoring smoke over once-per-day sensors in low-earth orbit (LEO). However, both can be inadequate in capturing the characteristics of smoke plumes close to their sources due to too-coarse spatial resolution (both detector and product resolution), too-sparse temporal resolution (from LEO sensors), and too-conservative masking. In addition to satellite observations, the Fire Influence on Regional to Global Environments and Air Quality experiment offered sub-orbital enhanced-MODIS Airborne Simulator (eMAS) imagery at 50 m pixel resolution-including multiple eMAS flight tracks over individual fires in short time periods. It provided opportunity to explore smoke plume characterization at various spatial and temporal scales and quantify the limitations of space sensors for describing smoke magnitude near source as well as its temporal evolution. Here we applied modified aerosol algorithm to different imagers, relaxing its masking to estimate smoke's aerosol optical depth (AOD) as close as possible to its source. We found that GEO sensors with nominal 1 km spatial resolution can match the much finer resolution eMAS retrieved mean plume AOD, as long as the retrieval spatial resolution is finer than the width of the plumes. However, the plume's maximum AOD may be drastically underestimated by satellite products. Starting from point sources, wildfire smoke is important in the global aerosol system. The ability to characterize smoke near-source is key to modeling smoke dispersion and predicting air quality. Satellite-based sensors provide important information about smoke plumes, however, by themselves can be inadequate in capturing the characteristics of smoke plumes close to their sources. In addition to geostationary orbit (GEO) satellite observations with 1-2 km spatial resolution observations at 10-min intervals and low-earth orbit (LEO) at 0.5-1 km resolution observations daily, the Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) experiment offered sub-orbital (airborne) enhanced-MODIS Airborne Simulator (eMAS) imagery at 50 m pixel resolution. With multiple eMAS flight tracks over individual fires in short time periods, FIREX-AQ provided opportunity to explore smoke plume characterization at various spatial and temporal scales and quantify the limitations of space sensors for describing smoke magnitude near source as well as its temporal evolution. Here we applied a modified aerosol algorithm to all the different imagers, relaxing its masking to estimate smoke's aerosol optical depth (AOD) as close as possible to its source. We found that GEO sensors with nominal 1 km spatial resolution can match the much finer resolution eMAS retrieved mean plume AOD, as long as the retrieval spatial resolution is finer than the width of the plumes. However, the plume's maximum AOD may be drastically underestimated by satellite products. Remote-sensed imagery of smoke plumes at different spatial and temporal resolutions are used to observe smoke magnitude and dispersion near fire sourcesHigh-resolution, sub-orbital imagery helps quantify limitations of lower-resolution orbiting sensors for observing smoke's magnitude and evolutionSatellite products with spatial resolution less than the width of the plume can capture the mean but not the maximum smoke loading

DOI:
10.1029/2023JD039085

ISSN:
2169-8996