Annual Fossil-Fuel CO2 Emissions: Mass of Emissions Gridded by One Degree Latitude by One Degree Longitude (NDP-058.2016)

The 2016 version of this database presents a time series recording 1° latitude by 1° longitude CO2 emissions in units of million metric tons of carbon per year from anthropogenic sources for 1751-2013. Detailed geographic information on CO2 emissions can be critical in understanding the pattern of the atmospheric and biospheric response to these emissions. Global, regional, and national annual estimates for 1751 through 2013 were published earlier (Boden et al. 2016). Those national, annual CO2 emission estimates were based on statistics about fossil-fuel burning, cement manufacturing and gas flaring in oil fields as well as energy production, consumption, and trade data, using the methods of Marland and Rotty (1984). The national annual estimates were combined with gridded 1° data on political units and 1984 human populations to create the new gridded CO2 emission time series. The same population distribution was used for each of the years as proxy for the emission distribution within each country. The implied assumption for that procedure was that per capita energy use and fuel mixes are uniform over a political unit. The consequence of this first-order procedure is that the spatial changes observed over time are solely due to changes in national energy consumption and nation-based fuel mix. Increases in fossil-fuel CO2 emissions over time are apparent for most areas. For access to the data files, click this link to the CDIAC data transition website: http://cdiac.ess-dive.lbl.gov/epubs/ndp/ndp058/ndp058_v2016.html本数据库2016版包含一套时间序列数据，记录了1751年至2013年间，以每年百万公吨碳为单位的、源自人为活动源的1°纬度×1°经度格网的二氧化碳(CO₂)排放量。详细的二氧化碳排放地理分布信息，对于理解大气与生物圈对该类排放的响应模式至关重要。 此前已发表过1751年至2013年的全球、区域及国家级年度排放估算结果（Boden等人，2016）。该类国家级年度二氧化碳排放估算，基于Marland与Rotty（1984）提出的方法，依托化石燃料燃烧、水泥生产、油田天然气燃除以及能源生产、消费与贸易相关统计数据完成。研究人员将国家级年度估算结果，与基于行政区划的1°格网数据以及1984年的人口数据相结合，构建了这套全新的格网式二氧化碳排放时间序列。本研究采用1984年的人口分布数据，作为所有年份各国国内排放分布的替代变量。该研究方法隐含的假设为：同一行政区划内的人均能源使用量与燃料结构均一。这一一阶近似方法的结果为：观测到的随时间变化的空间分布特征，仅由国家级能源消费变化与国家级燃料结构变化所驱动。多数区域的化石燃料二氧化碳排放量均呈现随时间增长的趋势。 如需获取数据文件，请点击以下链接跳转至二氧化碳信息分析中心（CDIAC）数据迁移网站：http://cdiac.ess-dive.lbl.gov/epubs/ndp/ndp058/ndp058_v2016.html