Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements
International audience Understanding the recent evolution of methane emissions in the Arctic is necessary to interpret the global methane cycle. Emissions are affected by significant uncertainties and are sensitive to climate change, leading to potential feedbacks. A polar version of the CHIMERE che...
Published in: | Atmospheric Chemistry and Physics |
---|---|
Main Authors: | , , , , , , , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2017
|
Subjects: | |
Online Access: | https://hal.science/hal-01584259 https://hal.science/hal-01584259/document https://hal.science/hal-01584259/file/acp-17-8371-2017.pdf https://doi.org/10.5194/acp-17-8371-2017 |
id |
ftuniversailles:oai:HAL:hal-01584259v1 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ |
op_collection_id |
ftuniversailles |
language |
English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment |
spellingShingle |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment Thonat, Thibaud Saunois, Marielle Bousquet, Philippe Pison, Isabelle Tan, Zeli Zhuang, Qianlai Crill, Patrick M. Thornton, Brett F. Bastviken, David Dlugokencky, Ed J. Zimov, Nikita Laurila, Tuomas Hatakka, Juha Hermansen, Ove Worthy, Doug E. J. Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment |
description |
International audience Understanding the recent evolution of methane emissions in the Arctic is necessary to interpret the global methane cycle. Emissions are affected by significant uncertainties and are sensitive to climate change, leading to potential feedbacks. A polar version of the CHIMERE chemistry-transport model is used to simulate the evolution of tropospheric methane in the Arctic during 2012, including all known regional anthropogenic and natural sources, in particular freshwater emissions which are often overlooked in methane modelling. CHIMERE simulations are compared to atmospheric continuous observations at six measurement sites in the Arctic region. In winter, the Arctic is dominated by anthropogenic emissions; emissions from continental seepages and oceans, including from the East Siberian Arctic Shelf, can contribute significantly in more limited areas. In summer, emissions from wetland and freshwater sources dominate across the whole region. The model is able to reproduce the seasonality and synoptic variations of methane measured at the different sites. We find that all methane sources significantly affect the measurements at all stations at least at the synoptic scale, except for biomass burning. In particular, freshwater systems play a decisive part in summer, representing on average between 11 and 26 % of the simulated Arctic methane signal at the sites. This indicates the relevance of continuous observations to gain a mechanistic understanding of Arctic methane sources. Sensitivity tests reveal that the choice of the land-surface model used to prescribe wetland emissions can be critical in correctly representing methane mixing ratios. The closest agreement with the observations is reached when using the two wetland models which have emissions peaking in August–September, while all others reach their maximum in June–July. Such phasing provides an interesting constraint on wetland models which still have large uncertainties at present. Also testing different freshwater emission ... |
author2 |
Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) ICOS-RAMCES (ICOS-RAMCES) Guangxi Institute of Meteorological Disaster-Reducing Research Department of Physics Lancaster Lancaster University Department of Geological Sciences Stockholm Stockholm University The Department of Thematic Studies - Water and Environmental Studies Linköping University (LIU) National Oceanic and Atmospheric Administration (NOAA) Vienna University of Technology = Technische Universität Wien (TU Wien) Finnish Meteorological Institute (FMI) Norsk Institutt for Luftforskning (NILU) Environment and Climate Change Canada (ECCC) |
format |
Article in Journal/Newspaper |
author |
Thonat, Thibaud Saunois, Marielle Bousquet, Philippe Pison, Isabelle Tan, Zeli Zhuang, Qianlai Crill, Patrick M. Thornton, Brett F. Bastviken, David Dlugokencky, Ed J. Zimov, Nikita Laurila, Tuomas Hatakka, Juha Hermansen, Ove Worthy, Doug E. J. |
author_facet |
Thonat, Thibaud Saunois, Marielle Bousquet, Philippe Pison, Isabelle Tan, Zeli Zhuang, Qianlai Crill, Patrick M. Thornton, Brett F. Bastviken, David Dlugokencky, Ed J. Zimov, Nikita Laurila, Tuomas Hatakka, Juha Hermansen, Ove Worthy, Doug E. J. |
author_sort |
Thonat, Thibaud |
title |
Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements |
title_short |
Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements |
title_full |
Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements |
title_fullStr |
Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements |
title_full_unstemmed |
Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements |
title_sort |
detectability of arctic methane sources at six sites performing continuous atmospheric measurements |
publisher |
HAL CCSD |
publishDate |
2017 |
url |
https://hal.science/hal-01584259 https://hal.science/hal-01584259/document https://hal.science/hal-01584259/file/acp-17-8371-2017.pdf https://doi.org/10.5194/acp-17-8371-2017 |
genre |
arctic methane Arctic Climate change |
genre_facet |
arctic methane Arctic Climate change |
op_source |
ISSN: 1680-7316 EISSN: 1680-7324 Atmospheric Chemistry and Physics https://hal.science/hal-01584259 Atmospheric Chemistry and Physics, 2017, 17 (13), pp.8371 - 8394. ⟨10.5194/acp-17-8371-2017⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/acp-17-8371-2017 hal-01584259 https://hal.science/hal-01584259 https://hal.science/hal-01584259/document https://hal.science/hal-01584259/file/acp-17-8371-2017.pdf doi:10.5194/acp-17-8371-2017 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/acp-17-8371-2017 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
17 |
container_issue |
13 |
container_start_page |
8371 |
op_container_end_page |
8394 |
_version_ |
1799471940681859072 |
spelling |
ftuniversailles:oai:HAL:hal-01584259v1 2024-05-19T07:33:54+00:00 Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements Thonat, Thibaud Saunois, Marielle Bousquet, Philippe Pison, Isabelle Tan, Zeli Zhuang, Qianlai Crill, Patrick M. Thornton, Brett F. Bastviken, David Dlugokencky, Ed J. Zimov, Nikita Laurila, Tuomas Hatakka, Juha Hermansen, Ove Worthy, Doug E. J. Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) ICOS-RAMCES (ICOS-RAMCES) Guangxi Institute of Meteorological Disaster-Reducing Research Department of Physics Lancaster Lancaster University Department of Geological Sciences Stockholm Stockholm University The Department of Thematic Studies - Water and Environmental Studies Linköping University (LIU) National Oceanic and Atmospheric Administration (NOAA) Vienna University of Technology = Technische Universität Wien (TU Wien) Finnish Meteorological Institute (FMI) Norsk Institutt for Luftforskning (NILU) Environment and Climate Change Canada (ECCC) 2017 https://hal.science/hal-01584259 https://hal.science/hal-01584259/document https://hal.science/hal-01584259/file/acp-17-8371-2017.pdf https://doi.org/10.5194/acp-17-8371-2017 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/acp-17-8371-2017 hal-01584259 https://hal.science/hal-01584259 https://hal.science/hal-01584259/document https://hal.science/hal-01584259/file/acp-17-8371-2017.pdf doi:10.5194/acp-17-8371-2017 info:eu-repo/semantics/OpenAccess ISSN: 1680-7316 EISSN: 1680-7324 Atmospheric Chemistry and Physics https://hal.science/hal-01584259 Atmospheric Chemistry and Physics, 2017, 17 (13), pp.8371 - 8394. ⟨10.5194/acp-17-8371-2017⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment info:eu-repo/semantics/article Journal articles 2017 ftuniversailles https://doi.org/10.5194/acp-17-8371-2017 2024-04-25T00:28:17Z International audience Understanding the recent evolution of methane emissions in the Arctic is necessary to interpret the global methane cycle. Emissions are affected by significant uncertainties and are sensitive to climate change, leading to potential feedbacks. A polar version of the CHIMERE chemistry-transport model is used to simulate the evolution of tropospheric methane in the Arctic during 2012, including all known regional anthropogenic and natural sources, in particular freshwater emissions which are often overlooked in methane modelling. CHIMERE simulations are compared to atmospheric continuous observations at six measurement sites in the Arctic region. In winter, the Arctic is dominated by anthropogenic emissions; emissions from continental seepages and oceans, including from the East Siberian Arctic Shelf, can contribute significantly in more limited areas. In summer, emissions from wetland and freshwater sources dominate across the whole region. The model is able to reproduce the seasonality and synoptic variations of methane measured at the different sites. We find that all methane sources significantly affect the measurements at all stations at least at the synoptic scale, except for biomass burning. In particular, freshwater systems play a decisive part in summer, representing on average between 11 and 26 % of the simulated Arctic methane signal at the sites. This indicates the relevance of continuous observations to gain a mechanistic understanding of Arctic methane sources. Sensitivity tests reveal that the choice of the land-surface model used to prescribe wetland emissions can be critical in correctly representing methane mixing ratios. The closest agreement with the observations is reached when using the two wetland models which have emissions peaking in August–September, while all others reach their maximum in June–July. Such phasing provides an interesting constraint on wetland models which still have large uncertainties at present. Also testing different freshwater emission ... Article in Journal/Newspaper arctic methane Arctic Climate change Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ Atmospheric Chemistry and Physics 17 13 8371 8394 |