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City Climate Intelligence: Addressing the Urban Emissions Information Gap

City Climate Intelligence: Addressing the Urban Emissions Information Gap

Full Title: City Climate Intelligence: Addressing the Urban Emissions Information Gap
Author(s): Zach Clayton, Emma Loewen, Rushad Nanavatty, Fiona O’Brien
Publisher(s): Rocky Mountain Institute
Publication Date: April 25, 2023
Full Text: Download Resource
Description (excerpt):

More than ever, local governments are committing to bold and ambitious greenhouse gas emissions reductions. Although setting targets is an important first step in the fight against climate change, cities find it hard to mitigate what they cannot estimate. To support these local efforts, Carbon Monitor, Hestia, IG3IS, NEXQT, and RMI collaborated to develop City Climate Intelligence (CCI). CCI is the world’s first near-real-time, high-resolution urban greenhouse gas monitoring methodology that combines local data sets and advanced analytics to deliver better emissions data awareness and insights.

The CCI methodology analyzes emissions information at three spatial scales: Tier 1 (the metropolitan area level), Tier 2 (the neighborhood level), and Tier 3 (the building and street level). The insights generated by CCI can support a cycle of awareness, action, and accountability that engages everyone involved in the city climate ecosystem. The CCI methodology and data are intended to be used by anyone who contributes to this collaborative cycle, including city managers, community-based organizations, citizens, journalists, the climate finance community, and others. This framework provides a foundation for understanding local climate progress.

The City Climate Intelligence: Addressing the Urban Greenhouse Gas Emissions Information Gap report explains how and why we developed the CCI methodology, shows how communities and local governments can leverage its insights, and provides case studies of how cities can leverage CCI data in their work.


All statements and/or propositions in discussion prompts are meant exclusively to stimulate discussion and do not represent the views of, its Partners, Topic Directors or Experts, nor of any individual or organization. Comments by and opinions of Expert participants are their own.

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