In:
Atmospheric Chemistry and Physics, Copernicus GmbH, Vol. 22, No. 18 ( 2022-09-20), p. 12269-12285
Abstract:
Abstract. Aerosol distributions have a potentially large influence
on climate-relevant cloud properties but can be difficult to observe over
the Arctic given pervasive cloudiness, long polar nights, data paucity over
remote regions, and periodic diamond dust events that satellites can
misclassify as aerosol. We compared Arctic 2008–2015 mineral dust and
combustion aerosol distributions from the Cloud-Aerosol Lidar and Infrared
Pathfinder Satellite Observation (CALIPSO) satellite, the Modern-Era
Retrospective analysis for Research and Applications, Version 2 (MERRA-2)
reanalysis products, and the FLEXible PARTicle (FLEXPART) dispersion model. Based on coincident, seasonal Atmospheric Infrared Sounder (AIRS) Arctic satellite meteorological data, diamond dust may occur up to 60 % of the time in winter, but it hardly ever occurs in summer. In its absence, MERRA-2 and FLEXPART each predict the vertical and horizontal distribution of large-scale patterns in combustion aerosols with relatively high confidence (Kendall tau rank correlation 〉 0.6), although a sizable amount of variability is still unaccounted for. They do the same for dust, except in conditions conducive to diamond dust formation where CALIPSO is likely misclassifying diamond dust as mineral dust and near the surface (〈 ∼ 2 km) where FLEXPART may be overpredicting local dust
emissions. Comparisons to ground data suggest that MERRA-2 Arctic dust
concentrations can be improved by the addition of local dust sources. All
three products predicted that wintertime dust and combustion aerosols occur
most frequently over the same Siberian regions where diamond dust is most
common in the winter. This suggests that dust aerosol impacts on ice phase
processes may be particularly high over Siberia, although further wintertime model validation with non-CALIPSO observations is needed. This assessment paves the way for applying the model-based aerosol simulations to a range of regional-scale Arctic aerosol–cloud interaction studies with greater confidence.
Type of Medium:
Online Resource
ISSN:
1680-7324
DOI:
10.5194/acp-22-12269-2022
DOI:
10.5194/acp-22-12269-2022-supplement
Language:
English
Publisher:
Copernicus GmbH
Publication Date:
2022
detail.hit.zdb_id:
2092549-9
detail.hit.zdb_id:
2069847-1
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