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Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000-2016 period

Zhao, Yuanhong; Saunois, Marielle; Bousquet, Philippe; Lin, Xin; Berchet, Antoine; Hegglin, Michaela I.; Canadell, Josep G.; Jackson, Robert B.; Hauglustaine, Didier A.; Szopa, Sophie; Stavert, Ann R.; Abraham, Nathan Luke; Archibald, Alex T.; Bekki, Slimane; Deushi, Makoto; Jöckel, Patrick; Josse, Béatrice; Kinnison, Douglas; Kirner, Ole ORCID iD icon 1; ... mehr

Abstract (englisch):

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. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000099852
Veröffentlicht am 14.11.2019
DOI: 10.5194/acp-19-13701-2019
Zitationen: 50
Web of Science
Zitationen: 50
Zitationen: 59
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 1680-7324
KITopen-ID: 1000099852
HGF-Programm 46.11.01 (POF III, LK 01) Computational Science and Mathematical Methods
Erschienen in Atmospheric chemistry and physics
Verlag European Geosciences Union (EGU)
Band 19
Heft 21
Seiten 13701–13723
Vorab online veröffentlicht am 13.11.2019
Nachgewiesen in Scopus
Web of Science
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