Identifying long-range transport of wildfire emissions to the Arctic by a network of groundbased FTIR spectrometers, satellite observations and transport models

We present a multi-year time series of the total column amounts of carbon monoxide (CO), hydrogen cyanide (HCN) and ethane (C2H6) obtained by Fourier Transform Infrared (FTIR) spectrometer measurements at ten sites. Six high-latitude sites: Eureka, Nunavut (80.02°N, 86.42°W); Ny Alesund, Norway (78....

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Main Authors: Lutsch, E, Conway, S, Strong, K, Ortega, I, Hannigan, J W, Makarova, M, Notholt, Justus, Blumenstock, T, Sussmann, R, Mahieu, Emmanuel, Kasai, Y, Clerbaux, S
Format: Conference Object
Language:English
Published: 2017
Subjects:
Online Access:https://orbi.uliege.be/handle/2268/230020
id ftorbi:oai:orbi.ulg.ac.be:2268/230020
record_format openpolar
spelling ftorbi:oai:orbi.ulg.ac.be:2268/230020 2024-11-03T14:53:08+00:00 Identifying long-range transport of wildfire emissions to the Arctic by a network of groundbased FTIR spectrometers, satellite observations and transport models Lutsch, E Conway, S Strong, K Ortega, I Hannigan, J W Makarova, M Notholt, Justus Blumenstock, T Sussmann, R Mahieu, Emmanuel Kasai, Y Clerbaux, S 2017-06 https://orbi.uliege.be/handle/2268/230020 en eng https://orbi.uliege.be/handle/2268/230020 info:hdl:2268/230020 Canadian Meteorological and Oceanographic Society (CMOS) meeting, Toronto, Canada [CA], 4-8 June 2017 FTIR spectrometry model simulation biomass burning Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique conference paper not in proceedings http://purl.org/coar/resource_type/c_18cp info:eu-repo/semantics/conferencePaper 2017 ftorbi 2024-10-21T15:24:55Z We present a multi-year time series of the total column amounts of carbon monoxide (CO), hydrogen cyanide (HCN) and ethane (C2H6) obtained by Fourier Transform Infrared (FTIR) spectrometer measurements at ten sites. Six high-latitude sites: Eureka, Nunavut (80.02°N, 86.42°W); Ny Alesund, Norway (78.92°N, 11.93°E); Thule, Greenland (76.53°N, 68.74°W); Kiruna, Sweden (67.84°N, 20.41°E); Poker Flat, Alaska (65.11°N, 147.42°W); St. Petersburg, Russia (59.88°N, 29.83°E) and four mid-latitude sites: Bremen, Germany (53.1°N, 8.8°E); Zugspitze, Germany (47.42°N, 10.98°E); Jungfraujoch, Switzerland (46.55°N, 7.98°E) and Toronto, Ontario (43.66°N, 79.40°W). For each site, enhancements of total column amounts above seasonal means are identified and attributed to wildfire events by HYSPLIT and FLEXPART back-trajectories. Wildfire source locations are identified by the MODIS fire hot spot dataset while satellite measurements of CO total columns from IASI illustrate transport of the smoke plume and allow for further confirmation of the observed enhancement. Using the multi-year time series, inter-annual variability of wildfire events is observed. Differences in travel times of the smoke plume between sites allow for ageing of the plume to be determined providing a means to infer the physical and chemical processes affecting the loss of each species during transport. The varying lifetimes of the species and independent measurements at all sites, along with sensitivities to various source regions given by FLEXPART allow for the transport pathways to the Arctic to be investigated. By accounting for the effect of the ageing of the smoke plumes, the measured FTIR enhancement ratios are corrected to obtain emission ratios and emission factors, which are needed to improve the simulation of fire emissions in chemical transport models. Conference Object Arctic Eureka Greenland Kiruna Nunavut Thule Alaska University of Liège: ORBi (Open Repository and Bibliography) Arctic Nunavut Kiruna Greenland Norway Eureka ENVELOPE(-85.940,-85.940,79.990,79.990)
institution Open Polar
collection University of Liège: ORBi (Open Repository and Bibliography)
op_collection_id ftorbi
language English
topic FTIR spectrometry
model simulation
biomass burning
Physical
chemical
mathematical & earth Sciences
Earth sciences & physical geography
Physique
chimie
mathématiques & sciences de la terre
Sciences de la terre & géographie physique
spellingShingle FTIR spectrometry
model simulation
biomass burning
Physical
chemical
mathematical & earth Sciences
Earth sciences & physical geography
Physique
chimie
mathématiques & sciences de la terre
Sciences de la terre & géographie physique
Lutsch, E
Conway, S
Strong, K
Ortega, I
Hannigan, J W
Makarova, M
Notholt, Justus
Blumenstock, T
Sussmann, R
Mahieu, Emmanuel
Kasai, Y
Clerbaux, S
Identifying long-range transport of wildfire emissions to the Arctic by a network of groundbased FTIR spectrometers, satellite observations and transport models
topic_facet FTIR spectrometry
model simulation
biomass burning
Physical
chemical
mathematical & earth Sciences
Earth sciences & physical geography
Physique
chimie
mathématiques & sciences de la terre
Sciences de la terre & géographie physique
description We present a multi-year time series of the total column amounts of carbon monoxide (CO), hydrogen cyanide (HCN) and ethane (C2H6) obtained by Fourier Transform Infrared (FTIR) spectrometer measurements at ten sites. Six high-latitude sites: Eureka, Nunavut (80.02°N, 86.42°W); Ny Alesund, Norway (78.92°N, 11.93°E); Thule, Greenland (76.53°N, 68.74°W); Kiruna, Sweden (67.84°N, 20.41°E); Poker Flat, Alaska (65.11°N, 147.42°W); St. Petersburg, Russia (59.88°N, 29.83°E) and four mid-latitude sites: Bremen, Germany (53.1°N, 8.8°E); Zugspitze, Germany (47.42°N, 10.98°E); Jungfraujoch, Switzerland (46.55°N, 7.98°E) and Toronto, Ontario (43.66°N, 79.40°W). For each site, enhancements of total column amounts above seasonal means are identified and attributed to wildfire events by HYSPLIT and FLEXPART back-trajectories. Wildfire source locations are identified by the MODIS fire hot spot dataset while satellite measurements of CO total columns from IASI illustrate transport of the smoke plume and allow for further confirmation of the observed enhancement. Using the multi-year time series, inter-annual variability of wildfire events is observed. Differences in travel times of the smoke plume between sites allow for ageing of the plume to be determined providing a means to infer the physical and chemical processes affecting the loss of each species during transport. The varying lifetimes of the species and independent measurements at all sites, along with sensitivities to various source regions given by FLEXPART allow for the transport pathways to the Arctic to be investigated. By accounting for the effect of the ageing of the smoke plumes, the measured FTIR enhancement ratios are corrected to obtain emission ratios and emission factors, which are needed to improve the simulation of fire emissions in chemical transport models.
format Conference Object
author Lutsch, E
Conway, S
Strong, K
Ortega, I
Hannigan, J W
Makarova, M
Notholt, Justus
Blumenstock, T
Sussmann, R
Mahieu, Emmanuel
Kasai, Y
Clerbaux, S
author_facet Lutsch, E
Conway, S
Strong, K
Ortega, I
Hannigan, J W
Makarova, M
Notholt, Justus
Blumenstock, T
Sussmann, R
Mahieu, Emmanuel
Kasai, Y
Clerbaux, S
author_sort Lutsch, E
title Identifying long-range transport of wildfire emissions to the Arctic by a network of groundbased FTIR spectrometers, satellite observations and transport models
title_short Identifying long-range transport of wildfire emissions to the Arctic by a network of groundbased FTIR spectrometers, satellite observations and transport models
title_full Identifying long-range transport of wildfire emissions to the Arctic by a network of groundbased FTIR spectrometers, satellite observations and transport models
title_fullStr Identifying long-range transport of wildfire emissions to the Arctic by a network of groundbased FTIR spectrometers, satellite observations and transport models
title_full_unstemmed Identifying long-range transport of wildfire emissions to the Arctic by a network of groundbased FTIR spectrometers, satellite observations and transport models
title_sort identifying long-range transport of wildfire emissions to the arctic by a network of groundbased ftir spectrometers, satellite observations and transport models
publishDate 2017
url https://orbi.uliege.be/handle/2268/230020
long_lat ENVELOPE(-85.940,-85.940,79.990,79.990)
geographic Arctic
Nunavut
Kiruna
Greenland
Norway
Eureka
geographic_facet Arctic
Nunavut
Kiruna
Greenland
Norway
Eureka
genre Arctic
Eureka
Greenland
Kiruna
Nunavut
Thule
Alaska
genre_facet Arctic
Eureka
Greenland
Kiruna
Nunavut
Thule
Alaska
op_source Canadian Meteorological and Oceanographic Society (CMOS) meeting, Toronto, Canada [CA], 4-8 June 2017
op_relation https://orbi.uliege.be/handle/2268/230020
info:hdl:2268/230020
_version_ 1814714061659570176