Monthly Fossil-Fuel CO2 Emissions: Uncertainty of Emissions Gridded by On Degree Latitude by One Degree Longitude (Uncertainties, V.2016)

The monthly, gridded fossil-fuel CO2 emissions uncertainty estimates from 1950-2013 provided in this database are derived from time series of global, regional, and national fossil-fuel CO2 emissions (Boden et al. 2016). Andres et al. (2016) describes the basic methodology in estimating the uncertainty in the (gridded fossil fuel data product ). This uncertainty is gridded at the same spatial and temporal scales as the mass magnitude maps. This gridded uncertainty includes uncertainty contributions from the spatial, temporal, proxy, and magnitude components used to create the magnitude map of FFCO2 emissions. Throughout this process, when assumptions had to be made or expert judgment employed, the general tendency in most cases was toward overestimating or increasing the magnitude of uncertainty. For access to the data files, click this link to the CDIAC data transition website: http://cdiac.ess-dive.lbl.gov/epubs/fossil_fuel_CO2_emissions_gridded_monthly_uncertainty_v2016.html

本数据库收录的1950年至2013年逐月网格化化石燃料CO₂排放不确定性估算数据，源自全球、区域及国家级化石燃料CO₂排放时间序列（Boden等，2016）。Andres等（2016）阐述了网格化化石燃料数据产品（gridded fossil fuel data product）的不确定性估算基本方法。该不确定性数据与排放量量级地图采用完全一致的时空尺度进行网格化处理。此类网格化不确定性涵盖了用于生成化石燃料CO₂（FFCO2）排放量级地图的空间、时间、代理变量及量级组分所带来的不确定性贡献。在整个处理流程中，当需要做出假设或采用专家判断时，多数情况下的通用倾向为高估或提升不确定性的量级。如需获取数据文件，请点击此链接访问CDIAC数据过渡网站：http://cdiac.ess-dive.lbl.gov/epubs/fossil_fuel_CO2_emissions_gridded_monthly_uncertainty_v2016.html