Is the smoke aloft? Caveats regarding the use of the Hazard Mapping System (HMS) smoke product as a proxy for surface smoke presence across the United States

Tianjia Liu, Frances Marie Panday, Miah C. Caine, Makoto Kelp, Drew C. Pendergrass, Loretta J. Mickley, Evan A. Ellicott, Miriam E. Marlier, Ravan Ahmadov, Eric P. James

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Background: NOAA's Hazard Mapping System (HMS) smoke product comprises smoke plumes digitised from satellite imagery. Recent studies have used HMS as a proxy for surface smoke presence. Aims: We compare HMS with airport observations, air quality station measurements and model estimates of near-surface smoke. Methods: We quantify the agreement in numbers of smoke days and trends, regional discrepancies in levels of near-surface smoke fine particulate matter (PM2.5) within HMS polygons, and separation of total PM2.5 on smoke and non-smoke days across the contiguous US and Alaska from 2010 to 2021. Key results: We find large overestimates in HMS-derived smoke days and trends if we include light smoke plumes in the HMS smoke day definition. Outside the western US and Alaska, near-surface smoke PM2.5 within areas of HMS smoke plumes is low and almost indistinguishable across density categories, likely indicating frequent smoke aloft. Conclusions: Compared with airport, Environmental Protection Agency (EPA) and model-derived estimates, HMS most closely reflects surface smoke in the Pacific and Mountain regions and Alaska when smoke days are defined using only heavy plumes or both medium and heavy plumes. Implications: We recommend careful consideration of biases in the HMS smoke product for air quality and public health assessments of fires.

Original languageEnglish
Article numberWF23148
JournalInternational Journal of Wildland Fire
Volume33
Issue number10
DOIs
StatePublished - Oct 2 2024

Keywords

  • Hazard Mapping System
  • PM
  • data evaluation
  • emissions
  • fine particulate matter
  • fires
  • observations
  • pollutants: air
  • remote sensing
  • satellite data
  • scale: regional
  • smoke

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