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Published December 3, 2025 | Version 2025.12.03

CMIP7 ScenarioMIP historical timeseries for harmonisation and simple climate model workflow

  • 1. Climate Resource S GmbH;International Institute for Applied Systems Analysis;University of Melbourne
  • 2. International Institute for Applied Systems Analysis

Description

History for CMIP7 ScenarioMIP emissions harmonisation

The files here are compiled historical experiment timeseries. They were compiled for use as part of the CMIP7 ScenarioMIP exercise and are primarily used for supporting emissions harmonisation. Here, 'harmonisation' means alignment of modelled emissions from IAMs with the emissions used for the CMIP7 historical experiment.

As a result, they are a key input for the process of 'gridding' emissions (i.e. taking raw emissions from IAMs and assigning them to a spatial grid, ready for use by Earth System Models (ESMs)) and for running the simple climate model based assessment of the scenarios to derive a first-order estimate of the warming associated with these scenarios (the ESMs will quantify the warming and other climate change associated with these scenarios as part of ScenarioMIP, and this quantification is underpinned by a deeper, more physically-based set of modelling assumptions.)

There are three different files, provided in three different formats each. The three files are:

  1. gridding-history*: the history used for harmonisation at the 'gridding' level. The gridding requires emissions with regional and sectoral detail. It also has to support every IAMs' native regions. As a result, there are lots (of order 30 000) timeseries.
  2. country-history*: same as above, but at the country level rather than in native IAM regions.
  3. global-workflow-history*: the history used for harmonisation at the 'global' level. This only has global total emissions, except for CO2 which is split into fossil-based and land-based (i.e. originating from the land carbon pool) emissions. It includes a number of species that are not used in the gridding workflow but are relevant for climate projections e.g. all of the greenhouse gases covered by the Montreal Protocol. As a result, there are only 52 timeseries.

The files were derived using the code in this repository: https://github.com/iiasa/emissions_harmonization_historical. The filenames are composed of identifiers related to the processing of each of the different input data sources. To identify the exact meaning of these identifiers, please see the processing code in https://github.com/iiasa/emissions_harmonization_historical.

Files

country-history_202511261223_202511040855_202511040855_202512021030_7e32405ade790677a6022ff498395bff00d9792d.csv

Files (404.2 MB)

Name Size
md5:738988ce77c34ae8f7db2e15b8be4389
88.1 MB Preview Download
md5:87d40d178078a0be028bc27ecef0bd52
31.2 MB Download
md5:5b8ef4cf41cb906f3d6b277d65519ea9
32.7 MB Download
md5:24e83f3f6838920e588d71bba37121cd
163.4 kB Preview Download
md5:a13b25958a37d9065ecdaac39cbc5352
176.4 kB Download
md5:d45372b420121df2d37c9decbdd5ab8d
223.1 kB Download
md5:4530d19f389b9ba7d6f6dc9de33c6908
156.0 MB Preview Download
md5:d399dd65d30287231545120910b32e77
49.1 MB Download
md5:015d10de1e538960ebec130a69be8cff
46.5 MB Download
md5:9a6df95f6ca9362ece54780e41bcfca3
2.3 kB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.5281/zenodo.15059443 (DOI)
Publication: 10.5194/gmd-11-369-2018 (DOI)
Publication: 10.5194/gmd-10-3329-2017 (DOI)
Publication: 10.5194/essd-9-697-2017 (DOI)

Software

Repository URL
https://github.com/iiasa/emissions_harmonization_historical
Programming language
Python
Development Status
Active