セッション概要
| 大気水圏科学(A) | |||
|---|---|---|---|
| セッション小記号 | 大気水圏科学複合領域・一般(CG) | ||
| セッションID | A-CG61 | ||
| タイトル | 和文 | 炭素循環の観測と解析 | |
| 英文 | Carbon Cycle Observation and Analysis | ||
| タイトル短縮名 | 和文 | 炭素循環の観測と解析 | |
| 英文 | Carbon Cycle Observation and Analysis | ||
| 代表コンビーナ | 氏名 | 和文 | 市井 和仁 |
| 英文 | Kazuhito Ichii | ||
| 所属 | 和文 | 千葉大学 | |
| 英文 | Chiba University | ||
| 共同コンビーナ 1 | 氏名 | 和文 | Patra Prabir |
| 英文 | Prabir Patra | ||
| 所属 | 和文 | Research Institute for Global Change, JAMSTEC | |
| 英文 | Principal Scientist at Research Institute for Global Change, JAMSTEC and Professor at Research Institute for Humanity and Nature | ||
| 共同コンビーナ 2 | 氏名 | 和文 | 伊藤 昭彦 |
| 英文 | Akihiko Ito | ||
| 所属 | 和文 | 東京大学 | |
| 英文 | University of Tokyo | ||
| 共同コンビーナ 3 | 氏名 | 和文 | Jingfeng Xiao |
| 英文 | Jingfeng Xiao | ||
| 所属 | 和文 | Organization Not Listed | |
| 英文 | Organization Not Listed | ||
| 共同コンビーナ 4 | 氏名 | 和文 | Qiaoyun Xie |
| 英文 | Qiaoyun Xie | ||
| 所属 | 和文 | University of Western Australia | |
| 英文 | University of Western Australia | ||
| 発表言語 | E | ||
| スコープ | 和文 |
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). |
|
| 英文 |
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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| 発表方法 | 口頭および（または）ポスターセッション | ||
| 時間 | 講演番号 | タイトル | 発表者 |
|---|---|---|---|
| 口頭発表 5月26日 PM1 | |||
| 13:45 - 14:00 | ACG61-01 | Korea Carbon Project (KCP): A 1-km Hybrid Carbon Flux Inventory for National MRV | Sujong Jeong |
| 14:00 - 14:15 | ACG61-02 | 東南アジア諸国における国家温室効果ガス予算評価のための統合データセットとその応用 | 近藤 雅征 |
| 14:15 - 14:30 | ACG61-03 | Dependence of inversion estimated land-ocean CO2 flux partitioning on prior flux assumption | Naveen Chandra |
| 14:30 - 14:45 | ACG61-04 | Quantifying Fossil Fuel CO2 Emissions in Seoul through a Bayesian Inverse Framework Integrating Ground-Based and Satellite Observations | Sojung Sim |
| 14:45 - 15:00 | ACG61-05 | How can we better benchmark global GPP data using flux tower measurements across timescales? | Xuanlong Ma |
| 15:00 - 15:15 | ACG61-06 | Modeling Carbon Emissions Driven by Land-Use Change: Uncertainty and Sensitivity Analysis of Dynamic Global Vegetation Models | 董 建勇 |
| 口頭発表 5月26日 PM2 | |||
| 15:30 - 15:45 | ACG61-07 | Decoupling Canopy Architecture and Leaf Quantity to Model Biome-Level Maximum Light Use Efficiency | Min Chen |
| 15:45 - 16:00 | ACG61-08 | Biological Processes Underpin the Persistence of Dryland Productivity Following Extreme Wet Years | Qiaoyun Xie |
| 16:00 - 16:15 | ACG61-09 | Global harmonization of data-driven soil carbon and heterotrophic respiration maps | 橋本 昌司 |
| 16:15 - 16:30 | ACG61-10 | Quantification of the DRC humid tropical forest carbon sink due to three decades of post-deforestation/degradation forest regrowth | Myung Sik Cho |
| 16:30 - 16:45 | ACG61-11 | Heatwave induced tipping of terrestrial carbon uptake estimated using geostationary satellite observations | Jongho Kim |
| 16:45 - 17:00 | ACG61-12 | A Systematic Evaluation of Robustness in a Network-Calibrated Gross Primary Productivity Framework for India | Yuji Shigefuji |
| 講演番号 | タイトル | 発表者 |
|---|---|---|
| ポスター発表 5月26日 PM3 | ||
| ACG61-P01 | 地表におけるメタンフラックスの安定炭素同位体比に関する空間分布マッピング | 伊藤 昭彦 |
| ACG61-P02 | 将来GHG観測衛星ミッションに向けたOSSE と U-Net を用いた XCO₂ プルーム検出および排出量定量性能評価 | 蔡 宇 |
| ACG61-P03 | Comparing the effects of drying-rewetting cycles on greenhouse gas dynamics in Japanese agricultural and forest soils | Noreen Zahra |
| ACG61-P04 | Comparative Evaluation of MODIS Vegetation Indices for Estimating Aboveground Biomass in Mongolian Grasslands | 祖父江 侑紀 |
| ACG61-P05 | Microclimatic control of elevation-dependent DOC increases after thinning in Cryptomeria plantations | Po-Neng CHIANG |
| ACG61-P06 | Contrasting wildfire responses of forest and non-forest ecosystems shaping vegetation greening across Siberia | Rui Fu |
| ACG61-P07 | Improvement of Gross Primary Productivity Estimates in VISIT Using Multi-Source Observations over Southeast Asia | 長谷 美咲 |
| ACG61-P08 | 南極・昭和基地における大気中のN2O濃度の変動 | 金濱 玄 |
| ACG61-P09 | Reversal of high N2O growth rate over East Asia around 2010 is linked to stabilisation in nitrogen-fertiliser use in China | Patra Prabir |
| ACG61-P10 | Methane Emission Estimation in Shallow Eutrophic Lakes Using Satellite Observations and Machine Learning: Model Development and Generalizability Assessment | 小田 理人 |
| ACG61-P11 | Global Weathering CO2 Response to Lithology and Basin | チョウ シュウテイ |
| ACG61-P12 | Impacts of Cumulative Climate Stress on Carbon Use Efficiency in Temperate Forests Using Forest-DNDC | Seunghyun Hong |
| ACG61-P13 | Integrating CO2 and Δ14CO2 Observations to Improve Regional Carbon Budget Estimates in Europe | Carlos David Gomez Ortiz |
| ACG61-P14 | A Data-driven Model Of Terrestrial Carbon Fluxes in Japan using Remote Sensing, Eddy Covariance, Climate, And Biomass Data | Daniel Joseph Henri |
| ACG61-P15 | Increase of subsurface dissolved inorganic carbon accelerates CO2 outgassing in the Bering Sea following abrupt subsurface warming | 周 宏偉 |
| ACG61-P16 | Urban Freshwater Systems as Persistent Sources of Atmospheric CO2: Multiscale Evidence from the Han River Basin | Geunjae Choi |
| ACG61-P17 | Emission characteristics of CO2 and CO in urban–rural South Korea from column measurements and transport modeling | Jueun Kim |
| ACG61-P18 | Relationship between Wildfire Burned Area and Meteorological Data in South America in Recent Decades | 戚 天昊 |
| ACG61-P19 | An Analysis of Long-Term Trends and Atmospheric Distribution of Δ14C in CO2 Simulated with MIROC4.0-ACTM | UDDALAK CHAKRABORTY |
| ACG61-P20 | Deciphering Spatiotemporal Heterogeneity of Carbon Fluxes on the Tibetan Plateau: A Daily, 500m NEE Dataset (2000–2024) via Mechanism-Constrained Machine Learning | WEIMO LI |
| ACG61-P21 | A Hybrid Four-Dimensional Ensemble Kalman Filter (4D-EnKF) within a Bayesian Inversion System for CO2 Emissions over Seoul | Munsu Park |
| ACG61-P22 | Quantifying the Long-Term Impact of Wildfires on Atmospheric CO2 Growth | Suyeon Kim |