作者: Gregg Marland , Dennis Gilfillan
DOI: 10.5194/ESSD-13-1667-2021
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摘要: Abstract. Global- and national-scale inventories of carbon dioxide (CO 2 ) emissions are important tools as countries grapple with the need to reduce to minimize magnitude changes in global climate system. The longest time series dataset on global national CO emissions, consistency over all years since 1751, has long been generated by Carbon Dioxide Information and Analysis Center (CDIAC), formerly housed at Oak Ridge National Laboratory. CDIAC estimates from fossil fuel combustion cement manufacture, fuel type, using United Nations energy statistics production data States Geological Survey. Recently, maintenance was transferred Appalachian State University, is now identified CDIAC-FF. This paper describes annual update time series through 2017; there typically a 2- 3-year lag processing two primary datasets used for the estimation CO emissions. We provide details the approach calculating that have implemented transition CDIAC-FF: refinement treatment in stocks level procedure calculate CO manufacture. compare CDIAC-FF's estimates of other national and illustrate trends (1990–2015) decomposition analysis Kaya identity. decompositions top 10 emitting countries show that, although similarities exist, unique factors driving their patterns suggesting need diverse strategies mitigate meditate anthropogenic climate change. this particular version CDIAC-FF available at https://doi.org/10.5281/zenodo.4281271 (Gilfillan et al., 2020a).