NGFS Climate Scenario Parameters

90 emission factors held in the GreenCalculus MasterBrain, drawn from NGFS Climate Scenarios — Phase V long-term scenarios for central banks and supervisors (November 2024); shadow carbon price = Price|Carbon, weighted-global, US10/tCO2e and TCFD Final Recommendations (June 2017) + 2021 Implementing Annex — sunset October 2024 with monitoring transferred to IFRS Foundation / ISSB; cited in MB as legacy crossref to IFRS S2. Values are read live from the data layer on every page build, so nothing here is re-typed and nothing can drift from the figures the calculators use. They span 7 units of measurement — 84 of them in US10/tCO2e — which is why the spread below is reported per unit and never blended. The count includes 6 TCFD scenario factors, a family too small to warrant a page of its own and published nowhere else.

Where these factors are used

TCFD Scenario Analysis sets out how factors in this group are applied, and TCFD Scenario Analysis Calculator and Internal Carbon Price & Shadow Price Calculator draw on them directly. Each value below names the upstream source it came from.

What this group contains

Figures are computed per unit and never blended: a median across different units would be arithmetically valid and physically meaningless. 1 further unit in this group has fewer than 3 factors and is counted above but not described.

What has changed

Sources, citation & machine access

Cite the upstream publisher for the values themselves. The reference below credits this compilation and, more usefully, pins the edition you read.

Say, Jeremiah (2026). NGFS Climate Scenario Parameters (MasterBrain v2026.110). GreenCalculus. https://greencalculus.com/factors/ngfs-climate-scenario-parameters/

Cite this factor group

Values change between editions. Quoting the MasterBrain version is what lets a reader resolve the exact number you used — see the change record above for factors in this group that have moved.

For a reference manager — BibTeX, then RIS:

@misc{greencalculus_ngfs_scenarios_2026,
  author       = {Say, Jeremiah},
  title        = {NGFS Climate Scenario Parameters},
  year         = {2026},
  howpublished = {GreenCalculus},
  note         = {MasterBrain v2026.110},
  url          = {https://greencalculus.com/factors/ngfs-climate-scenario-parameters/}
}

TY  - DATA
AU  - Say, Jeremiah
TI  - NGFS Climate Scenario Parameters
PY  - 2026
PB  - GreenCalculus
ET  - MasterBrain v2026.110
UR  - https://greencalculus.com/factors/ngfs-climate-scenario-parameters/
ER  - 

Every factor on this page is readable from the open endpoint. No key, no signup:

https://greencalculus.com/wp-json/greencalculus/v1/factors/ngfs_scenarios

curl -s "https://greencalculus.com/wp-json/greencalculus/v1/factors/ngfs_scenarios?limit=500"

import requests
rows = requests.get("https://greencalculus.com/wp-json/greencalculus/v1/factors/ngfs_scenarios", params={"limit": 500}).json()["factors"]
print(len(rows), "factors in ngfs_scenarios")

Or the same rows as a spreadsheet — every factor with its source, the edition it last changed in, and its own link:

https://greencalculus.com/wp-json/greencalculus/v1/factors-export?page=ngfs-climate-scenario-parameters

Download this table as CSV

Both responses carry an X-GC-Version header, so a consumer can detect a new edition without diffing the payload. The CSV filename carries the edition too, so two downloads months apart do not collide.

All factors

Last changed names the data-layer edition in which a factor last took a new value, reconstructed from every released edition since v2025.13. A dash means the value has not moved since tracking began — which is the answer to "is the figure I used last year still current?".

Common questions