2022年5月26日(木) 09:00 〜 10:30 202 (幕張メッセ国際会議場)

コンビーナ:市井 和仁(千葉大学)、コンビーナ:Prabir Patra(Research Institute for Global Change, JAMSTEC)、伊藤 昭彦(国立環境研究所)、コンビーナ:Hoffman Forrest M.(Oak Ridge National Laboratory)、座長:市井 和仁(千葉大学)

The Paris Agreement under the United Nations Framework Convention on Climate Change (UNFCCC) is a landmark agreement, which aims at reduction of greenhouse gases (GHGs) emission to keep the global warming below 2 deg C. The national commitments and progresses should be carefully monitored and verified by international bodies using different but complementary methodologies. Many observation and technique to monitor GHGs budget have been improved in recent years. The improvements include observational platforms for monitoring atmospheric GHGs, national or regional emission inventories, top-down estimations (e.g. atmospheric inverse analysis), and bottom-up estimations (e.g. process-based models). However, due to uncertainties in sparse observation network and integration methods, large uncertainty remains in GHGs sources/sinks estimations at global and regional scales. 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, integration), and various targets (e.g. atmosphere, land, 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.