Improved estimates of smoke exposure during Australia fire seasons: importance of quantifying plume injection heights

Abstract 2.5) from wildfire smoke in key cities over northern and southeastern Australia from 2009 to 2020. For the first method, we rely on climatological, monthly mean vertical profiles of smoke emissions from the Integrated Monitoring and Modelling System for wildland fires (IS4FIRES) together with assimilated PBL heights from NASA Modern-Era Retrospective Analysis for Research and Application (MERRA) version 2. For the second method, we develop a novel approach based on the Multi-angle Imaging SpectroRadiometer (MISR) observations and a random forest, machine learning model that allows us to directly predict the daily plume injection fractions above the PBL in each grid cell. We apply the resulting plume injection fractions quantified by the two methods to smoke PM2.5 concentrations simulated by the Stochastic Time-Inverted Lagrangian Transport (STILT) model in target cities. We find that characterization of the plume injection heights greatly affects estimates of surface daily smoke PM2.5, especially during severe wildfire seasons, when intense heat from fires can loft smoke high in the troposphere. However, using climatological injection profiles cannot capture well the spatiotemporal variability in plume injection fractions, resulting in a 63 % underestimation of daily fire emission fluxes injected above the PBL in comparison with those fluxes derived from MISR injection fractions. Our random forest model successfully reproduces the daily injected fire emission fluxes against MISR observations (R 2 = 0.88, normalized mean bias = 2.5 in several key cities near the wildfire source regions, with smoke PM2.5 accounting for 5 %–52 % of total PM2.5 during fire seasons from 2009 to 2020.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Improved estimates of smoke exposure during Australia fire seasons: importance of quantifying plume injection heights ; volume:24 ; number:5 ; year:2024 ; pages:2985-3007 ; extent:23
Atmospheric chemistry and physics ; 24, Heft 5 (2024), 2985-3007 (gesamt 23)

Urheber
Feng, Xu
Mickley, Loretta J.
Bell, Michelle L.
Liu, Tianjia
Fisher, Jenny A.
Val Martin, Maria

DOI
10.5194/acp-24-2985-2024
URN
urn:nbn:de:101:1-2024031403325935876210
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
14.08.2025, 10:44 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Beteiligte

  • Feng, Xu
  • Mickley, Loretta J.
  • Bell, Michelle L.
  • Liu, Tianjia
  • Fisher, Jenny A.
  • Val Martin, Maria

Ähnliche Objekte (12)