Bottom up

Bottom up

This page is dedicated to the exploration of asset-level data for the development of "bottom up" methodologies.

We provide historical emissions for a wide array of sectors and projected emissions for some sectors, based on forward-looking information from transition scenarios. The proposed content has a broad range of applications, chief of which is the measurement of transition risk exposure.

The databases bellow are based on several open source and sometimes proprietary data sources. Main ones are Climate Trace and Global Energy Monitor (GEM).



Firms annual direct emissions based on Climate Trace data (14 sub industries available)

Climate Trace represents is a new and extensive open data platform dedicated to monitoring global GHG emissions in near real-time. They employ advanced satellite imagery coupled with the power of artificial intelligence to measure direct emissions at the asset level. We propose transformed annual direct emissions data at the firm level, covering five sectors and 14 subsectors with a temporal coverage spanning the 2015-2022 period.

To access raw asset level data, please directly go to Climate Trace. If you want a more specific preprocessinf, please contact us.
API (Access required)




Steel manufacturing sector firm historical and projected emissions

The Iron & Steel industry is a major contributor to global GHG emissions and is also crucial in decarbonizing industrial activities as a whole.

Based on Global Steel Plant Tracker, we explored the use of asset level data to assess the alignement of a given sector (methodological paper to be published soon).
We provide here firm-level emissions corresponding to scopes 1 and 2, such bottom-up methodology, with a temporal coverage spanning the 2018-2030 period.
Estimated historical and projected
bottom up emissions (upcomming)