Assessment of the impact of discontinuity in satellite instruments and...

Hammer, M. S., A. van Donkelaar, L. Bindle, A. M. Sayer, J. Lee, N. C. Hsu, R. Levy, V. Sawyer, M. Garay, O. V. Kalashnikova, R. Kahn, A. Lyapustin, and R. Martin (2023), Assessment of the impact of discontinuity in satellite instruments and retrievals on global PM2.5 estimates, Remote Sensing of Environment, 294, 113624, doi:10.1016/j.rse.2023.113624.

Remote sensing Aerosols Fine particulate matter MODIS VIIRS MISR MAIAC Air pollution Exposure to fine particulate matter (PM2.5) is the leading environmental risk factor for mortality globally. Satellite-derived estimates of surface PM2.5 developed from a combination of satellites, simulations, and ground monitor data are relied upon for health impact studies. The ability to develop satellite-derived PM2.5 estimates requires the continued availability of aerosol optical depth (AOD) sources. This work examines the impact of the addition or loss of satellite AOD data sources on global PM2.5 estimation and the impact of continuing the longterm record with AOD from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi-National Polar orbiting Partnership (S-NPP) satellite after the loss of the MODIS (MODerate resolution Imaging Spectroradi­ ometer) and MISR (Multi-angle Imaging Spectroradiometer) instruments on board the Terra and Aqua satellites. We find that the addition of VIIRS S-NPP AOD products to geophysical PM2.5 estimates from satellites and simulations causes regional differences that correspond to differences in the VIIRS and MODIS Deep Blue AOD algorithms and sampling. Changes in long-term trends and timeseries due to the addition or loss of AOD data sources are generally within their uncertainties. Statistical fusion with ground monitor data partially corrects for changes due to sampling differences when introducing the VIIRS AOD products, but uncertainty remains over desert regions where ground monitor coverage is sparse. This work provides promise for the sustained devel­ opment of global satellite-derived PM2.5 estimates, despite discontinuities in instruments and retrieval methods.

PDF of Publication: 
Download from publisher's website.
Research Program: 
Atmospheric Composition
Atmospheric Composition Modeling and Analysis Program (ACMAP)