Analysis of Smoke Transport Over the Northeast US Caused by Wildfires in Canada During June 2023—Leveraging the HRRR‐Smoke Model Predictions and Remote Sensing Observations
Rattachement africain : us. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Abstract The intensification of wildland fires across portions of Canada in early June 2023 led to significant smoke transport into the eastern United States, resulting in poor air quality and reduced visibility. Significant degradation of air quality was evident from PM 2.5 surface measurements as the smoke plume moved southwards, which was confirmed by satellite data and the operational HRRR‐Smoke model. The availability of Doppler LiDAR data and the publicity surrounding the poor conditions in Washington DC led to a focused effort addressing the timing and enhancement of smoke in the nation's capital. The predictive skill of the operational HRRR‐Smoke model was evaluated against wind profile and PM 2.5 surface measurements. In general, the HRRR‐Smoke accurately predicted the meteorological conditions, particularly the diurnal evolution of regional winds and boundary layer depth. Despite capturing the diurnal evolution of winds, errors were still seen in the wind shear structure and magnitude (biases ranged between ±2 m s −1 and ±4 m s −1 ). In terms of air quality, good agreement was found between modeled and observed PM 2.5 concentrations at four sites in Washington DC. Confidence in modeled winds and PM 2.5 allowed HRRR‐Smoke to be used to determine the development of a lee trough as a regional transport mechanism for circulating smoke into Washington DC that led to bad air quality.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Analysis of Smoke Transport Over the Northeast US Caused by Wildfires in Canada During June 2023—Leveraging the HRRR‐Smoke Model Predictions and Remote Sensing Observations
- Date Crossref
- 24/07/2026
- Éditeur
- American Geophysical Union (AGU)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of Colorado Boulder pays non établi dans la noticeUniversité ou école supérieure
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NOAA Chemical Sciences Laboratory pays non établi dans la noticeOrganisme public
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University of Maryland pays non établi dans la noticeUniversité ou école supérieure
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NOAA Global Systems Laboratory pays non établi dans la noticeOrganisme public
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NOAA Earth System Research Laboratory pays non établi dans la noticeOrganisme public
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CIRES University of Colorado pays non établi dans la noticeUniversité ou école supérieure
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SAIC at Environmental Modeling Center (EMC) College Park MD USA pays non établi dans la noticeUniversité ou école supérieure
University of Colorado Boulder, NOAA Chemical Sciences Laboratory et University of Maryland, avec 4 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.