会议专题

Rescaling Methodology and Application:A Study of China Based on Grid-level Data

  The climate change issue is receiving more and more attention today.Climatologists and other scientists have warned for more than half a century that the accumulation of CO2 and other GHGs in the atmosphere is leading to global warming and other significant climatic,ecological,and societal changes.The welfare impact of climate change and the social cost of carbon have been widely discussed.However,the analyses are always provided at the regional or national level,ignoring the linkage between economy and geography.This paper addresses this gap by introducing a set of rescaling algorithms used in the Yale G-Econ(Geographically based Economic data)project,and implementing them to disaggregate the province-scale data of population,GDP and CO2 emission in China to the grid level(1° longitude by 1° latitude).In addition,the results are combined with the data on temperature increase and precipitation provided by Chinas National Climate Center.The results prove the feasibility and reliability of the rescaling algorithms,show the relationship between economy and geography,and study the economic effects of climate change on a finer scale.Furthermore,the conclusion of China at the national level can be drawn by combining the gridded data.

Welfare impact Climate change Grid-level data Rescaling algorithms Geography

Yuejiao Ha Fei Teng

Institute of Energy,Environment and Economy,Tsinghua University,Beijing,China

国际会议

第26届效率、成本、优化、模拟及环境影响能源系统国际会议

桂林

英文

1-16

2013-07-16(万方平台首次上网日期,不代表论文的发表时间)