A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General
[A-CG47] Global Carbon Cycle Observation and Analysis
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)
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 degC. The national commitments and progress should be carefully monitored and verified by international bodies using different but complementary methodologies.
In recent years, many observations and techniques to monitor GHGs budget have expanded. The improvements include 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 networks, large uncertainties exist in GHG sources/sinks estimations at global and regional scales. These uncertainties lead to large variations in future projections of GHG budgets and climate changes.
The purpose of the session is to discuss state-of-the-art techniques for estimation of GHG (e.g. CO2, CH4, N2O) budgets 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 urban and rural scale emission estimations using sophisticated modeling tools and inventories.
*Jagat Bisht1, Prabir Patra1,2, Naveen Chandra1, Toshinobu Machida3, Naoko Saitoh2 (1.Research Institute for Global Change (RIGC), JAMSTEC, Yokohama, 236-0001, Japan, 2.Center for Environmental Remote Sensing, Chiba University, Chiba, 263-8522, Japan, 3.CGER, National Institute for Environmental Studies, Tsukuba, Japan)
*Eric Mortenson1, Andrew Lenton1,2,3, Tom Trull1,2, Elizabeth Shadwick1,2,3, Xuebin Zhang1,3, Matt Chamberlain1 (1.Commonwealth Scientific and Industrial Research Organization, Australia, 2.Australian Antarctic Program Partnership, 3.The Centre for Southern Hemisphere Oceans Research)
*Prabir Patra1,2, Tomohiro Hajima1, Ryu Saito3, Naveen Chandra1, Yukio Yoshida4, Michio Kawamiya1, Masayuki Kondo2, Kazuhito Ichii2, Akihiko Ito4, Dave Crisp5 (1.Research Institute for Global Change, JAMSTEC, 2.Center for Environmental Remote Sensing, Chiba University, Chiba 263-8522, Japan, 3.Disaster Risk Reduction and Environ. SBU, Kokusai Kogyo Co., Ltd., Tokyo, 183-0057, Japan, 4.Center for Global Environmental Research, NIES, Tsukuba, 305-8506, Japan, 5.NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA)
*Forrest M. Hoffman1,2, Nathan Collier1, Mingquan Mu3, Cheng-En Yang2, Gretchen Keppel-Aleks4, David M. Lawrence5, Charles D. Koven6, William J. Riley6, James T. Randerson3 (1.Oak Ridge National Laboratory, 2.University of Tennessee Knoxville, 3.University of California Irvine, 4.University of Michigan, 5.National Center for Atmospheric Research, 6.Lawrence Berkeley National Laboratory)