JpGU Meeting 2019
Session outline| Atmospheric and Hydrospheric Sciences (A) | ||
|---|---|---|
| Session Sub-category | Complex & General(CG) | |
| Session ID | A-CG32 | |
| Title | Global Carbon Cycle Observation and Analysis | |
| Short Title | Global Carbon Cycle Analysis | |
| Main Convener | Name | Kazuhito Ichii |
| Affiliation | Chiba University | |
| Co-Convener 1 | Name | Prabir Patra |
| Affiliation | Research Institute for Global Change, JAMSTEC | |
| Co-Convener 2 | Name | Forrest M. Hoffman |
| Affiliation | Oak Ridge National Laboratory | |
| Co-Convener 3 | Name | Makoto Saito |
| Affiliation | National Institute of Environmental Studies | |
| Session Language | E | |
| Scope | 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. | |
| Presentation Format | Oral and Poster presentation | |
| Invited Authors | Tomohiro Oda | |
| Time | Presentation No | Title | Presenter | Abstract |
|---|---|---|---|---|
| Oral Presentation May 28 PM1 | ||||
| 13:45 - 14:00 | ACG32-01 | A high-resolution fossil fuel CO2 emission gridded dataset for tracer transport simulations and flux inversions: An overview, evaluations, applications and future perspectives | Tomohiro Oda | |
| 14:00 - 14:15 | ACG32-02 | Towards Decreasing the Uncertainty in Global Carbon Dioxide Emission Inventory | Richao Cong | |
| 14:15 - 14:30 | ACG32-03 | Evaluation of MIROC4-ACTM reanalysis of GHGs concentrations using aircraft | Jagat Bisht | |
| 14:30 - 14:45 | ACG32-04 | Carbon flux estimation using NICAM-TM 4D-Var and GOSAT data towards GOSAT-2 Level 4 product | Tazu Saeki | |
| 14:45 - 15:00 | ACG32-05 | Attribution of the ambiguity in methane’s growth rate shifts during 1988-2016. | Naveen Chandra | |
| 15:00 - 15:15 | ACG32-06 | Ocean uptake and land use change emissions suppressed atmospheric CO2 growth in the 2015/16 El Niño | Masayuki Kondo | |
| Oral Presentation May 28 PM2 | ||||
| 15:30 - 15:45 | ACG32-07 | Observing vegetation seasonal dynamics in Japan with Himawari-8 hypertemporal data | Tomoaki Miura | |
| 15:45 - 16:00 | ACG32-08 | Carbon and Water Fluxes at High spatial Resolutions through Down-Scaling | Jiquan Chen | |
| 16:00 - 16:15 | ACG32-09 | Connecting Satellite Based Spectral Modelling Approach and Forest Inventory to Model Biomass and Carbon Stocks in Natural and Planted Forest over part of Semi-arid zone, India | SWATI UNIYAL | |
| 16:15 - 16:30 | ACG32-10 | Allocation of forest net primary production varies by forest age and air temperature | Xiang Song | |
| 16:30 - 16:45 | ACG32-11 | Analyzing Model Biases in Terrestrial Carbon Cycle Submodels in Earth System Models and Offline Models | Kazuhito Ichii | |
| 16:45 - 17:00 | ACG32-12 | Assessing terrestrial biogeochemical feedbacks in a strategically geoengineered climate | Forrest M. Hoffman | |
| Presentation No | Title | Presenter | Abstract |
|---|---|---|---|
| Poster Presentation May 28 AM2 | |||
| ACG32-P01 | Regional budgets of 3 major greenhouse gases using inverse modelling of atmospheric data | Prabir Patra | |
| ACG32-P02 | Analysis of hot summer in 2018 | Kazutaka Murakami | |
| ACG32-P03 | Updated Data-Driven GPP and NEE Estimation Using Machine Learning Algorithms with Remote Sensing and Flux Data | Zhiyan Liu | |
| ACG32-P04 | Response of a Bornean Rainforest to the Climatic Changes imposed by ENSO during 2009-2016 | Julie Karine Michelon | |
| ACG32-P05 | Monitoring and Evaluating CO2 Flux in the Grassland Areas of Mongolia | Qinxue Wang | |
| ACG32-P06 | Data-driven monitoring of terrestrial carbon cycle in Mongolia | ZAYA MART | |