Sitelink：http://gidmodel.org.cn/

With the support of the Energy Foundation, the National Natural Science Foundation of China, the Key Research and Development Program of the Ministry of Science and Technology, and the Ministry of Ecology and Environment, Tsinghua University has joined forces with multiple institutions and teams at home and abroad to develop and maintain the Global Energy Infrastructure Emissions Database (Global Energy Infrastructure Emissions Database) since 2018. Energy Infrastructure Emissions Database, referred to as GID), aims to build the basic information and emission database of equipment-level global energy consumption infrastructure, and provide basic data support for scientific research and policy evaluation.
The GID development team conducted data mining on multiple global and regional-scale energy infrastructure databases to sort out more than 100,000 production and energy consumption infrastructure information in service around the world, and on this basis, used big data methods to develop a unified The emission characterization model realizes the equipment-level carbon dioxide and air pollutant emission accounting.The Global Carbon Grid establishes high-resolution maps of global CO2 emissions from fossil fuel combustion and cement production, which aims to provide accurate anthropogenic CO2 emission maps for modeling (forward and inverse), monitoring, and designing mitigation strategies. 

The Global Carbon Grid is built upon a framework that integrates multiple data flows including point sources, country-level sectoral activities and emissions, and transport emissions and distributions, all of which will be updated regularly on an annual basis to provide the most up-to-date global emission maps.

The Global Carbon Grid v1.0 provides global 0.1°×0.1° CO2 emission maps for six source sectors in 2019, which includes power, industry, residential, transport, shipping, and aviation. Benefiting from the underlying point source datasets (Tong et al., 2018; Wang et al., 2019; Liu et al., 2021), more than half of the global CO2 emissions in 2019 are estimated as point sources with accurate geographic coordinates. 

Another 16% of global CO2 emissions are from road transport, which is distributed onto road atlas (Meijer et al., 2018) using the method developed by Zheng et al. (2014). The global shipping emissions are estimated using the instantaneous engine power of ships based on a combination of the data from the Automatic Identification System (AIS) and the single-vessel technical specifications (Liu et al., 2016). The global aviation emissions are estimated using the fuel consumption of global aviation and spatially allocated based on the aviation emission maps from EDGAR (Janssens-Maenhout et al., 2019). Overall, about 70% of the global CO2 emissions in the Global Carbon Grid v1.0 are location-based estimates, which lay the foundation for building high-resolution accurate emission maps.

The GID team will continue to develop the Global Carbon Grid products by integrating more high-resolution local emission grids and emission temporal profiles. If you are looking for more detailed emissions and potential collaboration, please contact us.