セッション概要
| 大気水圏科学 (A) | ||||
|---|---|---|---|---|
| セッション小記号 | 大気海洋・環境科学複合領域・一般 (CG) | |||
| セッション ID | A-CG61 | |||
| タイトル | 炭素循環の観測と解析 | |||
| タイトル短縮名 | 炭素循環の観測と解析 | |||
| 代表コンビーナ | 氏名 | 市井 和仁 | ||
| 所属 | 千葉大学 | |||
| 共同コンビーナ 1 | 氏名 | Patra Prabir | ||
| 所属 | Research Institute for Global Change, JAMSTEC | |||
| 共同コンビーナ 2 | 氏名 | 伊藤 昭彦 | ||
| 所属 | 東京大学 | |||
| 共同コンビーナ 3 | 氏名 | Jingfeng Xiao | ||
| 所属 | Organization Not Listed | |||
| 共同コンビーナ 4 | 氏名 | Qiaoyun Xie | ||
| 所属 | University of Western Australia | |||
| セッション言語 | E | |||
| スコープ | The Paris Agreement under the United Nations Framework Convention on Climate Change (UNFCCC) aims at reduction of greenhouse gases (GHGs) emission to keep global warming below 2 deg C. 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 (local to global) and temporal coverage (past to future). Optimization of observation locations for maximum benefit of flux uncertainty reduction (intelligent network design) is also encouraged in this context. Improved estimates of emissions from land use change, biomass burning, and other anthropogenic sources are also of interest. Presentations are also welcome on the new developments under ongoing activities of the Global Carbon Project (GCP) and WMO Global Greenhouse Gas Watch (G3W). |
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| セッション形式 | 口頭およびポスターセッション | |||