Variability and quasi-decadal changes in the methane budget over the period 2000-2012

Marielle Saunois, Philippe Bousquet, Ben Poulter, Anna Peregon, Philippe Ciais, Josep G. Canadell, Edward J. Dlugokencky, Giuseppe Etiope, David Bastviken, Sander Houweling, Greet Janssens-Maenhout, Francesco N. Tubiello, Simona Castaldi, Robert B. Jackson, Mihai Alexe, Vivek K. Arora, David J. Beerling, Peter Bergamaschi, Donald R. Blake, Gordon Brailsford & 52 others Lori Bruhwiler, Cyril Crevoisier, Patrick Crill, Kristofer Covey, Christian Frankenberg, Nicola Gedney, Lena Höglund-Isaksson, Misa Ishizawa, Akihiko Ito, Fortunat Joos, Heon Sook Kim, Thomas Kleinen, Paul Krummel, Jean François Lamarque, Ray Langenfelds, Robin Locatelli, Toshinobu Machida, Shamil Maksyutov, Joe R. Melton, Isamu Morino, Vaishali Naik, Simon O'Doherty, Frans Jan W. Parmentier, Prabir K. Patra, Changhui Peng, Shushi Peng, Glen P. Peters, Isabelle Pison, Ronald Prinn, Michel Ramonet, William J. Riley, Makoto Saito, Monia Santini, Ronny Schroeder, Isobel J. Simpson, Renato Spahni, Atsushi Takizawa, Brett F. Thornton, Hanqin Tian, Yasunori Tohjima, Nicolas Viovy, Apostolos Voulgarakis, Ray Weiss, David J. Wilton, Andy Wiltshire, Doug Worthy, Debra Wunch, Xiyan Xu, Yukio Yoshida, Bowen Zhang, Zhen Zhang, Qiuan Zhu

Research output: Contribution to JournalReview articleAcademicpeer-review

Abstract

Following the recent Global Carbon Project (GCP) synthesis of the decadal methane (CH4) budget over 2000-2012 (Saunois et al., 2016), we analyse here the same dataset with a focus on quasi-decadal and inter-annual variability in CH4 emissions. The GCP dataset integrates results from top-down studies (exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models (including process-based models for estimating land surface emissions and atmospheric chemistry), inventories of anthropogenic emissions, and data-driven approaches. The annual global methane emissions from top-down studies, which by construction match the observed methane growth rate within their uncertainties, all show an increase in total methane emissions over the period 2000-2012, but this increase is not linear over the 13 years. Despite differences between individual studies, the mean emission anomaly of the top-down ensemble shows no significant trend in total methane emissions over the period 2000-2006, during the plateau of atmospheric methane mole fractions, and also over the period 2008-2012, during the renewed atmospheric methane increase. However, the top-down ensemble mean produces an emission shift between 2006 and 2008, leading to 22 [16-32]Tg CH4yr-1 higher methane emissions over the period 2008-2012 compared to 2002-2006. This emission increase mostly originated from the tropics, with a smaller contribution from mid-latitudes and no significant change from boreal regions. The regional contributions remain uncertain in top-down studies. Tropical South America and South and East Asia seem to contribute the most to the emission increase in the tropics. However, these two regions have only limited atmospheric measurements and remain therefore poorly constrained. The sectorial partitioning of this emission increase between the periods 2002-2006 and 2008-2012 differs from one atmospheric inversion study to another. However, all top-down studies suggest smaller changes in fossil fuel emissions (from oil, gas, and coal industries) compared to the mean of the bottom-up inventories included in this study. This difference is partly driven by a smaller emission change in China from the top-down studies compared to the estimate in the Emission Database for Global Atmospheric Research (EDGARv4.2) inventory, which should be revised to smaller values in a near future. We apply isotopic signatures to the emission changes estimated for individual studies based on five emission sectors and find that for six individual top-down studies (out of eight) the average isotopic signature of the emission changes is not consistent with the observed change in atmospheric 13CH4. However, the partitioning in emission change derived from the ensemble mean is consistent with this isotopic constraint. At the global scale, the top-down ensemble mean suggests that the dominant contribution to the resumed atmospheric CH4 growth after 2006 comes from microbial sources (more from agriculture and waste sectors than from natural wetlands), with an uncertain but smaller contribution from fossil CH4 emissions. In addition, a decrease in biomass burning emissions (in agreement with the biomass burning emission databases) makes the balance of sources consistent with atmospheric 13CH4 observations. In most of the top-down studies included here, OH concentrations are considered constant over the years (seasonal variations but without any inter-annual variability). As a result, the methane loss (in particular through OH oxidation) varies mainly through the change in methane concentrations and not its oxidants. For these reasons, changes in the methane loss could not be properly investigated in this study, although it may play a significant role in the recent atmospheric methane changes as briefly discussed at the end of the paper.

Original languageEnglish
Pages (from-to)11135-11161
Number of pages27
JournalAtmospheric Chemistry and Physics
Volume17
Issue number18
DOIs
Publication statusPublished - 20 Sep 2017

Fingerprint

methane
budget
biomass burning
partitioning
coal industry
carbon
atmospheric chemistry
gas industry
oil industry
oxidant
fossil fuel
land surface

Cite this

Saunois, M., Bousquet, P., Poulter, B., Peregon, A., Ciais, P., Canadell, J. G., ... Zhu, Q. (2017). Variability and quasi-decadal changes in the methane budget over the period 2000-2012. Atmospheric Chemistry and Physics, 17(18), 11135-11161. https://doi.org/10.5194/acp-17-11135-2017
Saunois, Marielle ; Bousquet, Philippe ; Poulter, Ben ; Peregon, Anna ; Ciais, Philippe ; Canadell, Josep G. ; Dlugokencky, Edward J. ; Etiope, Giuseppe ; Bastviken, David ; Houweling, Sander ; Janssens-Maenhout, Greet ; Tubiello, Francesco N. ; Castaldi, Simona ; Jackson, Robert B. ; Alexe, Mihai ; Arora, Vivek K. ; Beerling, David J. ; Bergamaschi, Peter ; Blake, Donald R. ; Brailsford, Gordon ; Bruhwiler, Lori ; Crevoisier, Cyril ; Crill, Patrick ; Covey, Kristofer ; Frankenberg, Christian ; Gedney, Nicola ; Höglund-Isaksson, Lena ; Ishizawa, Misa ; Ito, Akihiko ; Joos, Fortunat ; Kim, Heon Sook ; Kleinen, Thomas ; Krummel, Paul ; Lamarque, Jean François ; Langenfelds, Ray ; Locatelli, Robin ; Machida, Toshinobu ; Maksyutov, Shamil ; Melton, Joe R. ; Morino, Isamu ; Naik, Vaishali ; O'Doherty, Simon ; Parmentier, Frans Jan W. ; Patra, Prabir K. ; Peng, Changhui ; Peng, Shushi ; Peters, Glen P. ; Pison, Isabelle ; Prinn, Ronald ; Ramonet, Michel ; Riley, William J. ; Saito, Makoto ; Santini, Monia ; Schroeder, Ronny ; Simpson, Isobel J. ; Spahni, Renato ; Takizawa, Atsushi ; Thornton, Brett F. ; Tian, Hanqin ; Tohjima, Yasunori ; Viovy, Nicolas ; Voulgarakis, Apostolos ; Weiss, Ray ; Wilton, David J. ; Wiltshire, Andy ; Worthy, Doug ; Wunch, Debra ; Xu, Xiyan ; Yoshida, Yukio ; Zhang, Bowen ; Zhang, Zhen ; Zhu, Qiuan. / Variability and quasi-decadal changes in the methane budget over the period 2000-2012. In: Atmospheric Chemistry and Physics. 2017 ; Vol. 17, No. 18. pp. 11135-11161.
@article{53fb19953b804972b8fe02645982b0b5,
title = "Variability and quasi-decadal changes in the methane budget over the period 2000-2012",
abstract = "Following the recent Global Carbon Project (GCP) synthesis of the decadal methane (CH4) budget over 2000-2012 (Saunois et al., 2016), we analyse here the same dataset with a focus on quasi-decadal and inter-annual variability in CH4 emissions. The GCP dataset integrates results from top-down studies (exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models (including process-based models for estimating land surface emissions and atmospheric chemistry), inventories of anthropogenic emissions, and data-driven approaches. The annual global methane emissions from top-down studies, which by construction match the observed methane growth rate within their uncertainties, all show an increase in total methane emissions over the period 2000-2012, but this increase is not linear over the 13 years. Despite differences between individual studies, the mean emission anomaly of the top-down ensemble shows no significant trend in total methane emissions over the period 2000-2006, during the plateau of atmospheric methane mole fractions, and also over the period 2008-2012, during the renewed atmospheric methane increase. However, the top-down ensemble mean produces an emission shift between 2006 and 2008, leading to 22 [16-32]Tg CH4yr-1 higher methane emissions over the period 2008-2012 compared to 2002-2006. This emission increase mostly originated from the tropics, with a smaller contribution from mid-latitudes and no significant change from boreal regions. The regional contributions remain uncertain in top-down studies. Tropical South America and South and East Asia seem to contribute the most to the emission increase in the tropics. However, these two regions have only limited atmospheric measurements and remain therefore poorly constrained. The sectorial partitioning of this emission increase between the periods 2002-2006 and 2008-2012 differs from one atmospheric inversion study to another. However, all top-down studies suggest smaller changes in fossil fuel emissions (from oil, gas, and coal industries) compared to the mean of the bottom-up inventories included in this study. This difference is partly driven by a smaller emission change in China from the top-down studies compared to the estimate in the Emission Database for Global Atmospheric Research (EDGARv4.2) inventory, which should be revised to smaller values in a near future. We apply isotopic signatures to the emission changes estimated for individual studies based on five emission sectors and find that for six individual top-down studies (out of eight) the average isotopic signature of the emission changes is not consistent with the observed change in atmospheric 13CH4. However, the partitioning in emission change derived from the ensemble mean is consistent with this isotopic constraint. At the global scale, the top-down ensemble mean suggests that the dominant contribution to the resumed atmospheric CH4 growth after 2006 comes from microbial sources (more from agriculture and waste sectors than from natural wetlands), with an uncertain but smaller contribution from fossil CH4 emissions. In addition, a decrease in biomass burning emissions (in agreement with the biomass burning emission databases) makes the balance of sources consistent with atmospheric 13CH4 observations. In most of the top-down studies included here, OH concentrations are considered constant over the years (seasonal variations but without any inter-annual variability). As a result, the methane loss (in particular through OH oxidation) varies mainly through the change in methane concentrations and not its oxidants. For these reasons, changes in the methane loss could not be properly investigated in this study, although it may play a significant role in the recent atmospheric methane changes as briefly discussed at the end of the paper.",
author = "Marielle Saunois and Philippe Bousquet and Ben Poulter and Anna Peregon and Philippe Ciais and Canadell, {Josep G.} and Dlugokencky, {Edward J.} and Giuseppe Etiope and David Bastviken and Sander Houweling and Greet Janssens-Maenhout and Tubiello, {Francesco N.} and Simona Castaldi and Jackson, {Robert B.} and Mihai Alexe and Arora, {Vivek K.} and Beerling, {David J.} and Peter Bergamaschi and Blake, {Donald R.} and Gordon Brailsford and Lori Bruhwiler and Cyril Crevoisier and Patrick Crill and Kristofer Covey and Christian Frankenberg and Nicola Gedney and Lena H{\"o}glund-Isaksson and Misa Ishizawa and Akihiko Ito and Fortunat Joos and Kim, {Heon Sook} and Thomas Kleinen and Paul Krummel and Lamarque, {Jean Fran{\cc}ois} and Ray Langenfelds and Robin Locatelli and Toshinobu Machida and Shamil Maksyutov and Melton, {Joe R.} and Isamu Morino and Vaishali Naik and Simon O'Doherty and Parmentier, {Frans Jan W.} and Patra, {Prabir K.} and Changhui Peng and Shushi Peng and Peters, {Glen P.} and Isabelle Pison and Ronald Prinn and Michel Ramonet and Riley, {William J.} and Makoto Saito and Monia Santini and Ronny Schroeder and Simpson, {Isobel J.} and Renato Spahni and Atsushi Takizawa and Thornton, {Brett F.} and Hanqin Tian and Yasunori Tohjima and Nicolas Viovy and Apostolos Voulgarakis and Ray Weiss and Wilton, {David J.} and Andy Wiltshire and Doug Worthy and Debra Wunch and Xiyan Xu and Yukio Yoshida and Bowen Zhang and Zhen Zhang and Qiuan Zhu",
year = "2017",
month = "9",
day = "20",
doi = "10.5194/acp-17-11135-2017",
language = "English",
volume = "17",
pages = "11135--11161",
journal = "Atmospheric Chemistry and Physics",
issn = "1680-7316",
publisher = "European Geosciences Union",
number = "18",

}

Saunois, M, Bousquet, P, Poulter, B, Peregon, A, Ciais, P, Canadell, JG, Dlugokencky, EJ, Etiope, G, Bastviken, D, Houweling, S, Janssens-Maenhout, G, Tubiello, FN, Castaldi, S, Jackson, RB, Alexe, M, Arora, VK, Beerling, DJ, Bergamaschi, P, Blake, DR, Brailsford, G, Bruhwiler, L, Crevoisier, C, Crill, P, Covey, K, Frankenberg, C, Gedney, N, Höglund-Isaksson, L, Ishizawa, M, Ito, A, Joos, F, Kim, HS, Kleinen, T, Krummel, P, Lamarque, JF, Langenfelds, R, Locatelli, R, Machida, T, Maksyutov, S, Melton, JR, Morino, I, Naik, V, O'Doherty, S, Parmentier, FJW, Patra, PK, Peng, C, Peng, S, Peters, GP, Pison, I, Prinn, R, Ramonet, M, Riley, WJ, Saito, M, Santini, M, Schroeder, R, Simpson, IJ, Spahni, R, Takizawa, A, Thornton, BF, Tian, H, Tohjima, Y, Viovy, N, Voulgarakis, A, Weiss, R, Wilton, DJ, Wiltshire, A, Worthy, D, Wunch, D, Xu, X, Yoshida, Y, Zhang, B, Zhang, Z & Zhu, Q 2017, 'Variability and quasi-decadal changes in the methane budget over the period 2000-2012' Atmospheric Chemistry and Physics, vol. 17, no. 18, pp. 11135-11161. https://doi.org/10.5194/acp-17-11135-2017

Variability and quasi-decadal changes in the methane budget over the period 2000-2012. / Saunois, Marielle; Bousquet, Philippe; Poulter, Ben; Peregon, Anna; Ciais, Philippe; Canadell, Josep G.; Dlugokencky, Edward J.; Etiope, Giuseppe; Bastviken, David; Houweling, Sander; Janssens-Maenhout, Greet; Tubiello, Francesco N.; Castaldi, Simona; Jackson, Robert B.; Alexe, Mihai; Arora, Vivek K.; Beerling, David J.; Bergamaschi, Peter; Blake, Donald R.; Brailsford, Gordon; Bruhwiler, Lori; Crevoisier, Cyril; Crill, Patrick; Covey, Kristofer; Frankenberg, Christian; Gedney, Nicola; Höglund-Isaksson, Lena; Ishizawa, Misa; Ito, Akihiko; Joos, Fortunat; Kim, Heon Sook; Kleinen, Thomas; Krummel, Paul; Lamarque, Jean François; Langenfelds, Ray; Locatelli, Robin; Machida, Toshinobu; Maksyutov, Shamil; Melton, Joe R.; Morino, Isamu; Naik, Vaishali; O'Doherty, Simon; Parmentier, Frans Jan W.; Patra, Prabir K.; Peng, Changhui; Peng, Shushi; Peters, Glen P.; Pison, Isabelle; Prinn, Ronald; Ramonet, Michel; Riley, William J.; Saito, Makoto; Santini, Monia; Schroeder, Ronny; Simpson, Isobel J.; Spahni, Renato; Takizawa, Atsushi; Thornton, Brett F.; Tian, Hanqin; Tohjima, Yasunori; Viovy, Nicolas; Voulgarakis, Apostolos; Weiss, Ray; Wilton, David J.; Wiltshire, Andy; Worthy, Doug; Wunch, Debra; Xu, Xiyan; Yoshida, Yukio; Zhang, Bowen; Zhang, Zhen; Zhu, Qiuan.

In: Atmospheric Chemistry and Physics, Vol. 17, No. 18, 20.09.2017, p. 11135-11161.

Research output: Contribution to JournalReview articleAcademicpeer-review

TY - JOUR

T1 - Variability and quasi-decadal changes in the methane budget over the period 2000-2012

AU - Saunois, Marielle

AU - Bousquet, Philippe

AU - Poulter, Ben

AU - Peregon, Anna

AU - Ciais, Philippe

AU - Canadell, Josep G.

AU - Dlugokencky, Edward J.

AU - Etiope, Giuseppe

AU - Bastviken, David

AU - Houweling, Sander

AU - Janssens-Maenhout, Greet

AU - Tubiello, Francesco N.

AU - Castaldi, Simona

AU - Jackson, Robert B.

AU - Alexe, Mihai

AU - Arora, Vivek K.

AU - Beerling, David J.

AU - Bergamaschi, Peter

AU - Blake, Donald R.

AU - Brailsford, Gordon

AU - Bruhwiler, Lori

AU - Crevoisier, Cyril

AU - Crill, Patrick

AU - Covey, Kristofer

AU - Frankenberg, Christian

AU - Gedney, Nicola

AU - Höglund-Isaksson, Lena

AU - Ishizawa, Misa

AU - Ito, Akihiko

AU - Joos, Fortunat

AU - Kim, Heon Sook

AU - Kleinen, Thomas

AU - Krummel, Paul

AU - Lamarque, Jean François

AU - Langenfelds, Ray

AU - Locatelli, Robin

AU - Machida, Toshinobu

AU - Maksyutov, Shamil

AU - Melton, Joe R.

AU - Morino, Isamu

AU - Naik, Vaishali

AU - O'Doherty, Simon

AU - Parmentier, Frans Jan W.

AU - Patra, Prabir K.

AU - Peng, Changhui

AU - Peng, Shushi

AU - Peters, Glen P.

AU - Pison, Isabelle

AU - Prinn, Ronald

AU - Ramonet, Michel

AU - Riley, William J.

AU - Saito, Makoto

AU - Santini, Monia

AU - Schroeder, Ronny

AU - Simpson, Isobel J.

AU - Spahni, Renato

AU - Takizawa, Atsushi

AU - Thornton, Brett F.

AU - Tian, Hanqin

AU - Tohjima, Yasunori

AU - Viovy, Nicolas

AU - Voulgarakis, Apostolos

AU - Weiss, Ray

AU - Wilton, David J.

AU - Wiltshire, Andy

AU - Worthy, Doug

AU - Wunch, Debra

AU - Xu, Xiyan

AU - Yoshida, Yukio

AU - Zhang, Bowen

AU - Zhang, Zhen

AU - Zhu, Qiuan

PY - 2017/9/20

Y1 - 2017/9/20

N2 - Following the recent Global Carbon Project (GCP) synthesis of the decadal methane (CH4) budget over 2000-2012 (Saunois et al., 2016), we analyse here the same dataset with a focus on quasi-decadal and inter-annual variability in CH4 emissions. The GCP dataset integrates results from top-down studies (exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models (including process-based models for estimating land surface emissions and atmospheric chemistry), inventories of anthropogenic emissions, and data-driven approaches. The annual global methane emissions from top-down studies, which by construction match the observed methane growth rate within their uncertainties, all show an increase in total methane emissions over the period 2000-2012, but this increase is not linear over the 13 years. Despite differences between individual studies, the mean emission anomaly of the top-down ensemble shows no significant trend in total methane emissions over the period 2000-2006, during the plateau of atmospheric methane mole fractions, and also over the period 2008-2012, during the renewed atmospheric methane increase. However, the top-down ensemble mean produces an emission shift between 2006 and 2008, leading to 22 [16-32]Tg CH4yr-1 higher methane emissions over the period 2008-2012 compared to 2002-2006. This emission increase mostly originated from the tropics, with a smaller contribution from mid-latitudes and no significant change from boreal regions. The regional contributions remain uncertain in top-down studies. Tropical South America and South and East Asia seem to contribute the most to the emission increase in the tropics. However, these two regions have only limited atmospheric measurements and remain therefore poorly constrained. The sectorial partitioning of this emission increase between the periods 2002-2006 and 2008-2012 differs from one atmospheric inversion study to another. However, all top-down studies suggest smaller changes in fossil fuel emissions (from oil, gas, and coal industries) compared to the mean of the bottom-up inventories included in this study. This difference is partly driven by a smaller emission change in China from the top-down studies compared to the estimate in the Emission Database for Global Atmospheric Research (EDGARv4.2) inventory, which should be revised to smaller values in a near future. We apply isotopic signatures to the emission changes estimated for individual studies based on five emission sectors and find that for six individual top-down studies (out of eight) the average isotopic signature of the emission changes is not consistent with the observed change in atmospheric 13CH4. However, the partitioning in emission change derived from the ensemble mean is consistent with this isotopic constraint. At the global scale, the top-down ensemble mean suggests that the dominant contribution to the resumed atmospheric CH4 growth after 2006 comes from microbial sources (more from agriculture and waste sectors than from natural wetlands), with an uncertain but smaller contribution from fossil CH4 emissions. In addition, a decrease in biomass burning emissions (in agreement with the biomass burning emission databases) makes the balance of sources consistent with atmospheric 13CH4 observations. In most of the top-down studies included here, OH concentrations are considered constant over the years (seasonal variations but without any inter-annual variability). As a result, the methane loss (in particular through OH oxidation) varies mainly through the change in methane concentrations and not its oxidants. For these reasons, changes in the methane loss could not be properly investigated in this study, although it may play a significant role in the recent atmospheric methane changes as briefly discussed at the end of the paper.

AB - Following the recent Global Carbon Project (GCP) synthesis of the decadal methane (CH4) budget over 2000-2012 (Saunois et al., 2016), we analyse here the same dataset with a focus on quasi-decadal and inter-annual variability in CH4 emissions. The GCP dataset integrates results from top-down studies (exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models (including process-based models for estimating land surface emissions and atmospheric chemistry), inventories of anthropogenic emissions, and data-driven approaches. The annual global methane emissions from top-down studies, which by construction match the observed methane growth rate within their uncertainties, all show an increase in total methane emissions over the period 2000-2012, but this increase is not linear over the 13 years. Despite differences between individual studies, the mean emission anomaly of the top-down ensemble shows no significant trend in total methane emissions over the period 2000-2006, during the plateau of atmospheric methane mole fractions, and also over the period 2008-2012, during the renewed atmospheric methane increase. However, the top-down ensemble mean produces an emission shift between 2006 and 2008, leading to 22 [16-32]Tg CH4yr-1 higher methane emissions over the period 2008-2012 compared to 2002-2006. This emission increase mostly originated from the tropics, with a smaller contribution from mid-latitudes and no significant change from boreal regions. The regional contributions remain uncertain in top-down studies. Tropical South America and South and East Asia seem to contribute the most to the emission increase in the tropics. However, these two regions have only limited atmospheric measurements and remain therefore poorly constrained. The sectorial partitioning of this emission increase between the periods 2002-2006 and 2008-2012 differs from one atmospheric inversion study to another. However, all top-down studies suggest smaller changes in fossil fuel emissions (from oil, gas, and coal industries) compared to the mean of the bottom-up inventories included in this study. This difference is partly driven by a smaller emission change in China from the top-down studies compared to the estimate in the Emission Database for Global Atmospheric Research (EDGARv4.2) inventory, which should be revised to smaller values in a near future. We apply isotopic signatures to the emission changes estimated for individual studies based on five emission sectors and find that for six individual top-down studies (out of eight) the average isotopic signature of the emission changes is not consistent with the observed change in atmospheric 13CH4. However, the partitioning in emission change derived from the ensemble mean is consistent with this isotopic constraint. At the global scale, the top-down ensemble mean suggests that the dominant contribution to the resumed atmospheric CH4 growth after 2006 comes from microbial sources (more from agriculture and waste sectors than from natural wetlands), with an uncertain but smaller contribution from fossil CH4 emissions. In addition, a decrease in biomass burning emissions (in agreement with the biomass burning emission databases) makes the balance of sources consistent with atmospheric 13CH4 observations. In most of the top-down studies included here, OH concentrations are considered constant over the years (seasonal variations but without any inter-annual variability). As a result, the methane loss (in particular through OH oxidation) varies mainly through the change in methane concentrations and not its oxidants. For these reasons, changes in the methane loss could not be properly investigated in this study, although it may play a significant role in the recent atmospheric methane changes as briefly discussed at the end of the paper.

UR - http://www.scopus.com/inward/record.url?scp=85025087394&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85025087394&partnerID=8YFLogxK

U2 - 10.5194/acp-17-11135-2017

DO - 10.5194/acp-17-11135-2017

M3 - Review article

VL - 17

SP - 11135

EP - 11161

JO - Atmospheric Chemistry and Physics

JF - Atmospheric Chemistry and Physics

SN - 1680-7316

IS - 18

ER -

Saunois M, Bousquet P, Poulter B, Peregon A, Ciais P, Canadell JG et al. Variability and quasi-decadal changes in the methane budget over the period 2000-2012. Atmospheric Chemistry and Physics. 2017 Sep 20;17(18):11135-11161. https://doi.org/10.5194/acp-17-11135-2017