Errors and uncertainties in a gridded carbon dioxide emissions inventory

作者：Tomohiro Oda, Rostyslav Bun, Vitaliy Kinakh, P. Topylko, M. Halushchak, Gregg Marland, Thomas Lauvaux, M. Jonas, Shamil Maksyutov, Zbigniew Nahorski, Myroslava Lesiv, Olha Danylo, Joanna Horabik-Pyzel · 发表于：Mitigation and Adaptation Strategies for Global Change · 年份：2019 · DOI：10.1007/s11027-019-09877-2 · 被引用次数：153 · 研究领域：Atmospheric and Environmental Gas Dynamics、Atmospheric chemistry and aerosols、Air Quality and Health Impacts

Emission inventories (EIs) are the fundamental tool to monitor compliance with greenhouse gas (GHG) emissions and emission reduction commitments. Inventory accounting guidelines provide the best practices to help EI compilers across different countries and regions make comparable, national emission estimates regardless of differences in data availability. However, there are a variety of sources of error and uncertainty that originate beyond what the inventory guidelines can define. Spatially explicit EIs, which are a key product for atmospheric modeling applications, are often developed for research purposes and there are no specific guidelines to achieve spatial emission estimates. The errors and uncertainties associated with the spatial estimates are unique to the approaches employed and are often difficult to assess. This study compares the global, high-resolution (1 km), fossil fuel, carbon dioxide (CO 2 ), gridded EI Open-source Data Inventory for Anthropogenic CO 2 (ODIAC) with the multi-resolution, spatially explicit bottom-up EI geoinformation technologies, spatio-temporal approaches, and full carbon account for improving the accuracy of GHG inventories (GESAPU) over the domain of Poland. By taking full advantage of the data granularity that bottom-up EI offers, this study characterized the potential biases in spatial disaggregation by emission sector (point and non-point emissions) across different scales (national, subnational/regional, and urban policy-relevant sca...