JpGU-AGU Joint Meeting 2020

講演情報

[E] 口頭発表

セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG47] Global Carbon Cycle Observation and Analysis

コンビーナ:市井 和仁(千葉大学)、Prabir Patra(Research Institute for Global Change, JAMSTEC)、Forrest M. Hoffman(Oak Ridge National Laboratory)、Makoto Saito(National Institute of Environmental Studies)

[ACG47-02] Process analysis of GHGs seasonal variabilty in the UT/LS region on account of emissions, dynamics and atmospheric chemistry

*Jagat Bisht1Prabir Patra1,2Naveen Chandra1Toshinobu Machida3Naoko Saitoh2 (1.Research Institute for Global Change (RIGC), JAMSTEC, Yokohama, 236-0001, Japan、2.Center for Environmental Remote Sensing, Chiba University, Chiba, 263-8522, Japan、3.CGER, National Institute for Environmental Studies, Tsukuba, Japan)

キーワード:GHGs, CONTRAIL, MIROC4-ACTM

The seasonal variability of four important greenhouse-gases (GHGs): carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O) and sulphur hexafluoride (SF6), has been studied in the upper troposphere and lower stratosphere (UT/LS) region. The dynamical and chemical processes involved in distribution of the long-lived GHGs are elucidated using MIROC4 (Model for Interdisciplinary Research On Climate Earth System Model version 4) atmospheric chemistry transport model (ACTM) and CONTRAIL (Comprehensive Observation Network for Trace gases by AIrLiner) aircraft observations. The GHGs concentration has been analysed over western pacific in multiple latitude bands (between equator and 30oN) and over the Eurasian continent (50oN-70oN). The observed seasonality in GHGs at different latitude and longitude bands have been discussed comprehensively by emphasising the role of emissions, dynamics, and atmospheric chemistry with the help of MIROC4-ACTM. For an example, we be able to distinguish the predominant role of OH chemistry in the CH4 seasonal cycle in the tropical low latitude bands in upper troposphere, while, over high latitude the role of both OH loss and emission prevailed. Further, the dynamical components associated with GHGs seasonality has been studied by segregating the contribution from convection and advection tendencies as modelled in the ACTM. The zonally averaged transect of age of air and GHGs simulations from MIROC4-ACTM make it easier to explain the GHGs variability in the lower troposphere (Figure 1).

Figure 1: Zonal averaged age of air (AoA) from MIROC4-ACTM for (a) January 2014; arrow indicates the fast-downward movement of stratospheric air due to deeper branch of Brewer-Dobson circulation and (b) July 2014; arrow indicates diffusion of air with younger age towards extratropical tropopause by the swallower branch of Brewer-Dobson circulation. The zonal averaged CH4 concentration has been also shown for (c) CH4 January 2014 (d) CH4 July 2014. The black and white asterisk indicate the approximate altitude at ΔΘ > 50.0K and ΔΘ = 37.5 – 50.0K respectively.