[ACG32-P01] Regional budgets of 3 major greenhouse gases using inverse modelling of atmospheric data
*Prabir Patra1, Naveen Chandra1, Jagat Bisht1 (1.Japan Agency for Marine-Earth Science and Technology (JAMSTEC))
[E] Poster
A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General
Tue. May 28, 2019 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)
convener:Kazuhito Ichii(Chiba University), Prabir Patra(Research Institute for Global Change, JAMSTEC), Forrest M. Hoffman(Oak Ridge National Laboratory), Makoto Saito(National Institute of Environmental Studies)
The landmark Paris Agreement under the United Nations Framework Convention on Climate Change (UNFCCC) aims at reduction of greenhouse gases (GHGs) emission to keep the global warming below 2 degC. As per the agreement the nationally determined commitments (NDCs) and their progresses should be carefully monitored and verified by international bodies. The emission verification will be based on observation of the time evolution of greenhouse gases and model-based estimations of emissions from time to time.
In recent years, the number of observations and new techniques to monitor GHGs budget have been increasing. The improvements includes observational platforms for monitoring atmospheric GHGs, national or regional emission inventories, top-down models (e.g. atmospheric inverse models), and bottom-up models (e.g. process-based models). However, due to uncertainties in modeling and sparse observation network, high uncertainty exists in GHGs sources/sinks estimations at global and regional scales. These uncertainties lead to large variations in future projection of GHG budgets and climate changes.
The purpose of the session is to discuss state-of-the-art techniques for estimations of GHGs (e.g. CO2, CH4, N2O) budget at global and regional scales. The topic includes natural and anthropogenic processes, various methodologies (e.g. in-situ observation, aircraft monitoring, remote sensing, modeling), and various targets (e.g. atmosphere, terrestrial, and ocean), various spatial and temporal coverage (e.g. regional to global scales and past-present-future). Improved estimates of emissions from land use change, forest fires, and other anthropogenic sources (urban developments and thermal power station etc.) are also of interest. We also welcome discussions for designs and plans for future studies targeting city and country scale emission estimations using sophisticated modeling tools.
*Prabir Patra1, Naveen Chandra1, Jagat Bisht1 (1.Japan Agency for Marine-Earth Science and Technology (JAMSTEC))
*Kazutaka Murakami1, Kazuhito Ichii1,2, Yukio Yoshida1, Haruki Oshio1, Makoto Saito1 (1.National Institute for Environmental Studies, 2.Chiba University)
*Zhiyan Liu1, Kazuhito Ichii1, Yusuke Hayasi1, Riku Kawase1, Masahito Ueyama2, Yuji Kominami3 (1.Chiba University, 2.Osaka Prefecture University, 3.Forest Research and Management Organization)
*Julie Karine Michelon1, Tomo'omi Kumagai2,3, Tetsuya Hiyama3, Hatsuki Fujinami3, Kazuho Matsumoto4, Tomonori Kume5, Takami Saito6 (1.Graduate School of Environmental Studies, Nagoya University, 2.Graduate School of Agricultural and Life Sciences, The University of Tokyo, 3.Institute for Space-Earth Environmental Research, Nagoya University, 4.Faculty of Agriculture, University of the Ryukyus, 5.Faculty of Agriculture, Kyushu University, 6.Forest Research and Management Organization)
*Qinxue Wang1, Tomohiro Okadera1, Deni Eer1, Masataka Watanabe2, Tomohiro Shishime2, Akihiro Oba2, Ochirbat Batkhishig3 (1.National Institute for Environmental Studies, 2.Research and Development Initiative, Chuo University, 3.Institute of Geography and Geoecology, Mongolian Academy of Sciences)
*ZAYA MART1, Zhiyan Liu1, Riku Kawase1, Kazuhito Ichii1 (1.Chiba University )
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