[A-CG32] Global Carbon Cycle Observation and Analysis

Tue. May 28, 2019 10:45 AM - 12:15 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.

[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))

[ACG32-P02] Analysis of hot summer in 2018

*Kazutaka Murakami¹, Kazuhito Ichii^1,2, Yukio Yoshida¹, Haruki Oshio¹, Makoto Saito¹ (1.National Institute for Environmental Studies, 2.Chiba University)

[ACG32-P03] Updated Data-Driven GPP and NEE Estimation Using Machine Learning Algorithms with Remote Sensing and Flux Data

*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)

[ACG32-P04] Response of a Bornean Rainforest to the Climatic Changes imposed by ENSO during 2009-2016

*Julie Karine Michelon¹, Tomo'omi Kumagai^2,3, 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)

[ACG32-P05] Monitoring and Evaluating CO2 Flux in the Grassland Areas of Mongolia

*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)

[ACG32-P06] Data-driven monitoring of terrestrial carbon cycle in Mongolia

*ZAYA MART¹, Zhiyan Liu¹, Riku Kawase¹, Kazuhito Ichii¹ (1.Chiba University )