[ACG47-07] On reliable pattern of historical land-use and land-cover change transition in Southeast Asia
★Invited Papers
*Masayuki Kondo1 (1. Center for Environmental Remote Sensing, Chiba University)
[E] Oral
A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General
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.
*Masayuki Kondo1 (1. Center for Environmental Remote Sensing, Chiba University)
*Kazutaka Murakami1, Makoto Saito1, Hibiki M Noda1, Haruki Oshio1, Yukio Yoshida1, Kazuhito Ichii2,1 (1.National Institute for Environmental Studies, 2.Chiba University)
*Jiawen Zhu1, Minghua Zhang2, Yao Zhang3, Xiaodong Zeng1, Xiangming Xiao4 (1.Institute of Atmospheric Physics, CAS, 2.Stony Brook Univ., 3.Columbia Univ., 4.Univ. of Oklahoma)
*SWATI UNIYAL1, Sitiraju Srinivasa Rao2, Eadara Amminedu1 (1.Andhra University,Visakhapatnam,Andhra Pradesh,India, 2.National Remote Sensing Center,Hyderabad,India)
*Kazuhito Ichii1, Riku Kawase1, Zhiyan Liu1 (1.Chiba University)
*Naveen Chandra1, Prabir Patra1 (1.Japan Agency for Marine Earth Science and Technology)