Abstract

Abstract. City-level CO2 emissions inventories are foundational for supporting the EU's decarbonization goals. Inventories are essential for priority setting and for estimating impacts from the decarbonization transition. Here we present a new CO2 emissions inventory for all 116 572 municipal and local-government units in Europe, containing 108 000 cities at the smallest scale used. The inventory spatially disaggregates the national reported emissions, using nine spatialization methods to distribute the 167 line items detailed in the National Inventory Reports (NIRs) using the UNFCCC (United Nations Framework Convention on Climate Change) Common Reporting Framework (CRF). The novel contribution of this model is that results are provided per administrative jurisdiction at multiple administrative levels, following the region boundaries defined OpenStreetMap, using a new spatialization approach. All data from this study are available on Zenodo https://doi.org/10.5281/zenodo.5482480 (Moran, 2021) and via an interactive map at https://openghgmap.net (last access: 7 February 2022​​​​​​​).

Highlights

  • While climate goals are set at the national and international level, it is often local governments and citizens who are most intimately involved in the accomplishment of these goals and who must adapt to the implied changes

  • As with nation-states, a greenhouse gas (GHG) inventory is the first step to preparing a local climate action plan (CAP)

  • Using the above example that could mean that all emissions under the first two Common Reporting Framework (CRF) categories would be fully attributed to Emissions Trading System (ETS) iron and steel facilities and a portion of the emissions under rank 3, Ferroalloys construction (2.C.2), which cannot be attributed to ETS facilities, would remain to be spatialized

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Summary

Background

While climate goals are set at the national and international level, it is often local governments and citizens who are most intimately involved in the accomplishment of these goals and who must adapt to the implied changes. Concentration measurements can include dense, low-cost sensors (Kim et al, 2018), high-precision tower-mounted instruments (Turnbull et al, 2019; Whetstone, 2018), aircraft- and satellite-based measurements (NASA, 2021; Wu et al, 2020), the EU’s CoCO2 and ICOS Cities (Integrated Carbon Observation System) projects, NASA’s OSSE project (Observing System Simulation Experiment; Ott et al, 2017), and/or combinations of all of the above By combining these approaches with highresolution emission data products built using bottom-up approaches, attribution to emitting source by sector or fuel is possible and has shown good convergence (Basu et al, 2020; Lauvaux et al, 2020; Mueller et al, 2021). There is an active community working to prepare Scope 3 assessments at the city level (Chen et al, 2019b, a; Heinonen et al, 2020; Minx et al, 2013; Moran et al, 2018; Pichler et al, 2017; Ramaswami et al, 2021; Wiedmann et al, 2021; Zheng et al, 2021b)

Methods
Mapping point source emissions regulated by the EU Emissions Trading System
Trains
Buildings
Aviation
Farming activity
Marine
Refineries
Benchmarking
31 IPCC CRF cate- Up to hourly gories
Validation against city inventories
Results overview
Case study of Norway
Code availability
Full Text
Published version (Free)

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