[A-CG32] Global Carbon Cycle Observation and Analysis

Tue. May 28, 2019 3:30 PM - 5:00 PM 301A (3F)

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), Chairperson:Prabir Patra

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.

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3:30 PM - 3:45 PM

[ACG32-07] Observing vegetation seasonal dynamics in Japan with Himawari-8 hypertemporal data

*Tomoaki Miura^1,2, Shin Nagai², Kazuhito Ichii³, Hiroki Yoshioka⁴ (1.University of Hawaii at Manoa, 2.Japan Agency for Marine-Earth Science and Technology, 3.Center for Environmental Remote Sensing, Chiba University, 4.Aichi Prefectural University)

3:45 PM - 4:00 PM

[ACG32-08] Carbon and Water Fluxes at High spatial Resolutions through Down-Scaling

*Jiquan Chen¹, Pietro Sciusco¹, Ranjeet John¹, Zutao Ouyang¹ (1.Michigan State University)

4:00 PM - 4:15 PM

[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 UNIYAL¹, Siti Raju Rao (1.Andhra University)

4:15 PM - 4:30 PM

[ACG32-10] Allocation of forest net primary production varies by forest age and air temperature

*Xiang Song¹, Xiaodong Zeng¹, Dongxiao Tian² (1.IAP, CAS, 2.Beijing Meteorological Information Center)

4:30 PM - 4:45 PM

[ACG32-11] Analyzing Model Biases in Terrestrial Carbon Cycle Submodels in Earth System Models and Offline Models

*Kazuhito Ichii¹, Kazutaka Murakami², Hiroaki Takayama³, Tomohiro Hajima³, Kaoru Tachiiri³ (1.Chiba University, 2.National Institute for Environmental Studies, 3.Japan Agency for Marine-Earth Science and Technology)

4:45 PM - 5:00 PM

[ACG32-12] Assessing terrestrial biogeochemical feedbacks in a strategically geoengineered climate

*Forrest M. Hoffman^1,2, Cheng-En Yang^2,1, Joshua S. Fu^2,1, Simone Tilmes³, Lili Xia⁴, Douglas G. MacMartin⁵, Jadwiga H. Richter³, Michael Mills³, Ben Kravitz⁶ (1.Oak Ridge National Laboratory, 2.University of Tennessee, 3.National Center for Atmospheric Research, 4.Rutgers University, 5.Cornell University, 6.Pacific Northwest National Laboratory)