1State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210046, P.R. China
2Institute for Climate and Global Change Research, Nanjing University, Nanjing 210046, P. R. China
3International Institute for Earth System Science, Nanjing University, Nanjing 210046, P. R. China
4Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA
5Global Monitoring Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
6Institute of Geographical Sciences & Natural Resources Research, Chinese Academy of Sciences (CAS), Beijing 100101, P. R. China
Abstract. Being the largest contributor to the global source of fossil-fuel CO2 emissions, China's emissions need to be accurately quantified and well understood. Previous studies have usually focused on the amount of national emissions and rarely discussed their spatiotemporal distributions, which are also crucial for both carbon flux and carbon management. In this study, we calculated China's CO2 emissions from fossil fuel use and industrial processes using provincial statistics and then mapped those emissions at 0.25° resolution on monthly basis. Several key steps have been implemented to gain a better understanding of the spatiotemporal distributions, including (1) development and application of China's CO2 emission inventories using provincial statistics; (2) separate calculations of emissions from large point sources and accurate identification of their geographical locations; (3) development of 1 km×1 km gridded population and GDP data for China from 2000 to 2009 and application of them as dynamic spatial proxies to allocate emissions; and (4) monthly variation curves of CO2 emissions from various sectors were developed for each province and applied to our inventory. China's total CO2 emission from fossil fuel and industrial process have increased from 3.6 billion tons in 2000 to 8.6 billion tons in 2009, which may be off by 14–18% and are enough to skew global totals. And the resulting spatiotemporal distributions of our inventories also differed greatly in several ways from those derived using national statistics and population-based approach for the various economic development levels, industrial and energy structures, and even large point emissions sources within China and each province.