There is a newer version of the record available.

Published November 28, 2025 | Version 2025.11.28

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_202511040855_7e32405ade790677a6022ff498395bff00d9792d.csv

Files (402.2 MB)

Name Size
md5:ec92f75325a4d2e112b393e1379e818a
87.9 MB Preview Download
md5:f943d77c765e6cd4dd25cddfeb6e508d
31.1 MB Download
md5:f8d7462bbcd98d5b88e0709ef46f91c7
32.7 MB Download
md5:f460812f01a2c655e2bfae003b927c9a
163.4 kB Preview Download
md5:b77e34dbf9f53cfe0bd030bb71cb3319
176.4 kB Download
md5:532c12cc53bc2ea71fe6e823d4b95992
223.1 kB Download
md5:80d1e43581732d82aef39a0651f68fb7
155.0 MB Preview Download
md5:94e9995d6405220b0e347c4bd8c952b5
48.4 MB Download
md5:76a947e0e4dd3fcef580bf68f04a4a77
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