Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000–2016 period
Yuanhong Zhao,Marielle Saunois,Philippe Bousquet,Xin Lin,Xin Lin,Antoine Berchet,Michaela I. Hegglin,Josep G. Canadell,Robert B. Jackson,Didier Hauglustaine,Sophie Szopa,Ann R. Stavert,Nathan Luke Abraham,Alexander T. Archibald,Slimane Bekki,Makoto Deushi,Patrick Jöckel,Béatrice Josse,Douglas E. Kinnison,Ole Kirner,Virginie Marécal,Fiona M. O'Connor,David A. Plummer,Laura E. Revell,Laura E. Revell,Eugene Rozanov,Andrea Stenke,Sarah A. Strode,Sarah A. Strode,Simone Tilmes,Edward J. Dlugokencky,Bo Zheng +31 more
TLDR
In this paper, the authors estimate how uncertainties in global hydroxyl radical (OH) distributions, variability, and trends may contribute to resolving discrepancies between simulated and observed methane(CH4 ) changes since 2000.Abstract:
. The modeling study presented here aims to estimate how uncertainties in
global hydroxyl radical (OH) distributions, variability, and trends may
contribute to resolving discrepancies between simulated and observed methane
( CH4 ) changes since 2000. A multi-model ensemble of 14 OH fields was
analyzed and aggregated into 64 scenarios to force the offline
atmospheric chemistry transport model LMDz (Laboratoire de Meteorologie Dynamique) with a standard CH4 emission
scenario over the period 2000–2016. The multi-model simulated global
volume-weighted tropospheric mean OH concentration ([OH]) averaged over
2000–2010 ranges between 8.7×105 and 12.8×105 molec cm −3 . The inter-model differences in tropospheric OH burden and
vertical distributions are mainly determined by the differences in the
nitrogen oxide (NO) distributions, while the spatial discrepancies between
OH fields are mostly due to differences in natural emissions and volatile organic compound (VOC)
chemistry. From 2000 to 2010, most simulated OH fields show an increase of
0.1– 0.3×105 molec cm −3 in the tropospheric mean [OH],
with year-to-year variations much smaller than during the historical period
1960–2000. Once ingested into the LMDz model, these OH changes translated
into a 5 to 15 ppbv reduction in the CH4 mixing ratio in 2010, which
represents 7 %–20 % of the model-simulated CH4 increase due to
surface emissions. Between 2010 and 2016, the ensemble of simulations showed
that OH changes could lead to a CH4 mixing ratio uncertainty of
> ± 30 ppbv. Over the full 2000–2016 time period, using a
common state-of-the-art but nonoptimized emission scenario, the impact of
[OH] changes tested here can explain up to 54 % of the gap between model
simulations and observations. This result emphasizes the importance of
better representing OH abundance and variations in CH4 forward
simulations and emission optimizations performed by atmospheric inversions.read more
Citations
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Journal ArticleDOI
The global methane budget 2000–2017
Marielle Saunois,Ann R. Stavert,Ben Poulter,Philippe Bousquet,Josep G. Canadell,Robert B. Jackson,Peter A. Raymond,Edward J. Dlugokencky,Sander Houweling,Sander Houweling,Prabir K. Patra,Prabir K. Patra,Philippe Ciais,Vivek K. Arora,David Bastviken,Peter Bergamaschi,Donald R. Blake,Gordon Brailsford,Lori Bruhwiler,Kimberly M. Carlson,Mark Carrol,Simona Castaldi,Naveen Chandra,Cyril Crevoisier,Patrick M. Crill,Kristofer R. Covey,Charles L. Curry,Giuseppe Etiope,Giuseppe Etiope,Christian Frankenberg,Nicola Gedney,Michaela I. Hegglin,Lena Höglund-Isaksson,Gustaf Hugelius,Misa Ishizawa,Akihiko Ito,Greet Janssens-Maenhout,Katherine M. Jensen,Fortunat Joos,Thomas Kleinen,Paul B. Krummel,Ray L. Langenfelds,Goulven Gildas Laruelle,Licheng Liu,Toshinobu Machida,Shamil Maksyutov,Kyle C. McDonald,Joe McNorton,Paul A. Miller,Joe R. Melton,Isamu Morino,Jurek Müller,Fabiola Murguia-Flores,Vaishali Naik,Yosuke Niwa,Sergio Noce,Simon O'Doherty,Robert J. Parker,Changhui Peng,Shushi Peng,Glen P. Peters,Catherine Prigent,Ronald G. Prinn,Michel Ramonet,Pierre Regnier,William J. Riley,Judith A. Rosentreter,Arjo Segers,Isobel J. Simpson,Hao Shi,Steven J. Smith,L. Paul Steele,Brett F. Thornton,Hanqin Tian,Yasunori Tohjima,Francesco N. Tubiello,Aki Tsuruta,Nicolas Viovy,Apostolos Voulgarakis,Apostolos Voulgarakis,Thomas Weber,Michiel van Weele,Guido R. van der Werf,Ray F. Weiss,Doug Worthy,Debra Wunch,Yi Yin,Yi Yin,Yukio Yoshida,Weiya Zhang,Zhen Zhang,Yuanhong Zhao,Bo Zheng,Qing Zhu,Qiuan Zhu,Qianlai Zhuang +95 more
TL;DR: The second version of the living review paper dedicated to the decadal methane budget, integrating results of top-down studies (atmospheric observations within an atmospheric inverse-modeling framework) and bottom-up estimates (including process-based models for estimating land surface emissions and atmospheric chemistry, inventories of anthropogenic emissions, and data-driven extrapolations) as discussed by the authors.
Journal ArticleDOI
Half of global methane emissions come from highly variable aquatic ecosystem sources
Judith A. Rosentreter,Judith A. Rosentreter,Alberto Borges,Bridget R. Deemer,Meredith A. Holgerson,Meredith A. Holgerson,Shaoda Liu,Shaoda Liu,Chunlin Song,Chunlin Song,John M. Melack,Peter A. Raymond,Carlos M. Duarte,Carlos M. Duarte,George H. Allen,David Olefeldt,Benjamin Poulter,Tom Ian Battin,Bradley D. Eyre +18 more
TL;DR: In this article, the authors present a metadata analysis of methane fluxes from all major natural, impacted and human-made aquatic ecosystems and conclude that aquatic emissions will probably increase due to urbanization, eutrophication and positive climate feedbacks.
TransCom model simulations of CH4 and related species: Linking transport, surface flux and chemical loss with CH4 variablity in troposphere and lower stratosphere
P K Patra,S. Houweling,M Krol,P Bousquet,D A Belikov,D Bergmann,H Bian,P Cameron-Smith,A Fortems-Cheiny,M. Chipperfield,K. Corbin,A Fraser,P Hess,Akinori Ito,S Kawa,Rachel M. Law,Zoe Loh,S. Maksyutov,Lei Meng,P. I. Palmer,R. G. Prinn,Matthew Rigby,R. Saito,C Wilson +23 more
TL;DR: In this paper, a chemistry-transport model (CTM) intercompar- ison experiment (TransCom-CH4) has been designed to in- vestigate the roles of surface emissions, transport and chemi- cal loss in simulating the global methane distribution.
Journal ArticleDOI
Environmental effects of ozone depletion, UV radiation and interactions with climate change: UNEP Environmental Effects Assessment Panel, update 2017
Germar Bernhard,Rachel E. Neale,Paul Barnes,Patrick J. Neale,Richard G. Zepp,Stephen R. Wilson,Anthony L. Andrady,Alkiviadis F. Bais,Richard McKenzie,Pieter J. Aucamp,Paul Young,J. B. Liley,Robyn M. Lucas,Seyhan Yazar,Lesley E. Rhodes,Scott N. Byrne,L. M. Hollestein,Catherine M. Olsen,Antony R. Young,Thomas Matthew Robson,Janet F. Bornman,Marcel A. K. Jansen,Sharon A. Robinson,Carlos L. Ballaré,Craig E. Williamson,Kevin C. Rose,Anastazia T. Banaszak,Donat-P. Häder,Samuel Hylander,Sten-Åke Wängberg,Amy T. Austin,W. C Hou,Nigel D. Paul,Sasha Madronich,Barbara Sulzberger,Keith R. Solomon,H. Li,T. Schikowski,Janice Longstreth,Krishna K. Pandey,Anu Heikkilä,C. C. White +41 more
TL;DR: The present 2017 Update Report assesses some of the highlights and new insights about the interactive nature of the direct and indirect effects of UV radiation, atmospheric processes, and climate change.
Journal ArticleDOI
Global methane budget and trend, 2010–2017: complementarity of inverse analyses using in situ (GLOBALVIEWplus CH 4 ObsPack) and satellite (GOSAT) observations
Xiao Lu,Daniel J. Jacob,Yuzhong Zhang,Yuzhong Zhang,Joannes D. Maasakkers,Melissa P. Sulprizio,Lu Shen,Zhen Qu,Tia R. Scarpelli,Hannah Nesser,Robert M. Yantosca,Jian-Xiong Sheng,Arlyn E. Andrews,Robert J. Parker,Hartmut Boesch,A. Anthony Bloom,Shuang Ma +16 more
TL;DR: In this article, satellite and in-situ observations of atmospheric methane in a joint global inversion of methane sources, sinks, and trends for the 2010-2017 period were used.
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