A global map of emission clumps for future monitoring of fossil fuel CO 2 emissions from space

Wang, Yilong; Ciais, Philippe; Broquet, Grégoire; Bréon, François-Marie; Oda, Tomohiro; Lespinas, Franck; Meijer, Yasjka; Loescher, Armin; Janssens-Maenhout, Greet; Zheng, Bo; Xu, Haoran; Tao, Shu; Gurney, Kevin R.; Roest, Geoffrey; Santaren, Diego; Su, Yongxian

A large fraction of fossil fuel inline-formulaCO2 emissions emanate from “hotspots”, such as cities (where direct inline-formulaCO2 emissions related to fossil fuel combustion in transport, residential, commercial sectors, etc., excluding emissions from electricity-producing power plants, occur), isolated power plants, and manufacturing facilities, which cover a small fraction of the land surface. The coverage of all high-emitting cities and point sources across the globe by bottom-up inventories is far from complete, and for most of those covered, the uncertainties in inline-formulaCO2 emission estimates in bottom-up inventories are too large to allow continuous and rigorous assessment of emission changes (Gurney et al., 2019). Space-borne imagery of atmospheric inline-formulaCO2 has the potential to provide independent estimates of inline-formulaCO2 emissions from hotspots. But first, what a hotspot is needs to be defined for the purpose of satellite observations. The proposed space-borne imagers with global coverage planned for the coming decade have a pixel size on the order of a few square kilometers and a inline-formulaXCO2 accuracy and precision of inline-formula<1 ppm for individual measurements of vertically integrated columns of dry-air mole fractions of inline-formulaCO2 (inline-formulaXCO2). This resolution and precision is insufficient to provide a cartography of emissions for each individual pixel. Rather, the integrated emission of diffuse emitting areas and intense point sources is sought. In this study, we characterize area and point fossil fuel inline-formulaCO2 emitting sources which generate coherent inline-formulaXCO2 plumes that may be observed from space. We characterize these emitting sources around the globe and they are referred to as “emission clumps” hereafter. An algorithm is proposed to identify emission clumps worldwide, based on the ODIAC global high-resolution 1 km fossil fuel emission data product. The clump algorithm selects the major urban areas from a GIS (geographic information system) file and two emission thresholds. The selected urban areas and a high emission threshold are used to identify clump cores such as inner city areas or large power plants. A low threshold and a random walker (RW) scheme are then used to aggregate all grid cells contiguous to cores in order to define a single clump. With our definition of the thresholds, which are appropriate for a space imagery with 0.5 ppm precision for a single inline-formulaXCO2 measurement, a total of 11 314 individual clumps, withpage688 5088 area clumps, and 6226 point-source clumps (power plants) are identified. These clumps contribute 72 % of the global fossil fuel inline-formulaCO2 emissions according to the ODIAC inventory. The emission clumps is a new tool for comparing fossil fuel inline-formulaCO2 emissions from different inventories and objectively identifying emitting areas that have a potential to be detected by future global satellite imagery of inline-formulaXCO2. The emission clump data product is distributed from https://doi.org/10.6084/m9.figshare.7217726.v1https://doi.org/10.6084/m9.figshare.7217726.v1.



Wang, Yilong / Ciais, Philippe / Broquet, Grégoire / et al: A global map of emission clumps for future monitoring of fossil fuel CO2 emissions from space. 2019. Copernicus Publications.


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