Measured and Modeled Trends of Seven Tropospheric Pollutants in the High Arctic From 1999 to 2022

Wizenberg, T.; Strong, K.; Jones, D. B. A.; Hannigan, J. W.; Ortega, I.; Mahieu, Emmanuel

doi:10.1029/2023jd040544

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Measured and Modeled Trends of Seven Tropospheric Pollutants in the High Arctic From 1999 to 2022

Wizenberg, T.; Strong, K.; Jones, D. B. A. et al.

2024 • In Journal of Geophysical Research. Atmospheres, 129 (12)

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https://hdl.handle.net/2268/319701

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10.1029/2023jd040544

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Keywords :

atmospheric composition; pollution in the Arctic; FTIR remote-sensing; chemistry transport model simulations; trends; seasonal modualtions

Abstract :

[en] Abstract. The long‐term trends and seasonality of many tropospheric pollutants are not well characterized in the high Arctic due to a dearth of trace‐gas measurements in this remote region. In this study, the inter‐ and intra‐annual variabilities of carbon monoxide (CO), acetylene (C2H2), ethane (C2H6), methanol (CH3OH), formaldehyde (H2CO), formic acid (HCOOH), and peroxyacetyl nitrate (PAN) in the high Arctic region were derived from the total column time‐series of ground‐based Fourier transform infrared (FTIR) measurements at Eureka, Nunavut (80.05°N, 86.42°W, 2006–2020) and Thule, Greenland (76.53°N, 68.74°W, 1999–2022). Consistent seasonal cycles were observed in the FTIR measurements at both sites for all species. Negative trends were observed for CO, C2H2, and CH3OH at both sites, and for HCOOH at Eureka. Positive trends were detected for C2H6 and H2CO at both sites, and for PAN at Eureka. Additionally, a 19‐year simulation was performed using the novel GEOS‐Chem High Performance model v14.1.1 for the period of 2003–2021. The model was able to reproduce the observed seasonality of all gases, but all species showed negative biases relative to observations, and CH3OH was found to have a particularly large bias of approximately −70% relative to the FTIR measurements. The GEOS‐Chem modeled trends broadly agreed with observations for all species except C2H6, H2CO, and PAN, which were found to have opposite trends in the model. For some species, the measurement‐model differences are suspected to be the result of errors or underestimations in the emissions inventories used in the simulation.

Research Center/Unit :

SPHERES - ULiège

Disciplines :

Earth sciences & physical geography

Author, co-author :

Wizenberg, T. ; Department of Physics University of Toronto Toronto ON Canada

Strong, K. ; Department of Physics University of Toronto Toronto ON Canada

Jones, D. B. A. ; Department of Physics University of Toronto Toronto ON Canada

Hannigan, J. W. ; National Center for Atmospheric Research Boulder CO USA

Ortega, I. ; National Center for Atmospheric Research Boulder CO USA

Mahieu, Emmanuel ; Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > Groupe infra-rouge de physique atmosphérique et solaire (GIRPAS)

Language :

English

Title :

Measured and Modeled Trends of Seven Tropospheric Pollutants in the High Arctic From 1999 to 2022

Publication date :

12 June 2024

Journal title :

Journal of Geophysical Research. Atmospheres

ISSN :

2169-897X

eISSN :

2169-8996

Publisher :

American Geophysical Union (AGU)

Volume :

129

Issue :

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2023JD040544

Funders :

F.R.S.-FNRS - Fonds de la Recherche Scientifique

Data Set :

GEOS-Chem version 14.1.1
FTIR data sets produced for and used in this study

Available on ORBi :

since 14 June 2024

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