Global Warming Potential (GWP) Values

81 emission factors held in the GreenCalculus MasterBrain, drawn from Global Methane Budget 2000–2020, Global Carbon Budget 2025 and IPCC Sixth Assessment Report (AR6) WGI. 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 2 units of measurement — 1 of them in Tg CH4 per ppb (1 Tg = 1 Mt; dry-air mole fraction) — which is why the spread below is reported per unit and never blended. The count includes 2 atmospheric conversion factors, a family too small to warrant a page of its own and published nowhere else.

Where these factors are used

GWP Unit Conversion sets out how factors in this group are applied, and Global Warming Potential (GWP) Calculator and Scope 1 F-Gas Inventory Aggregator 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. 2 further units in this group have fewer than 3 factors and are counted above but not described.

What has changed

Change history is reconstructed from every released edition of the data layer, v2025.13 to v2026.107. A factor absent from this table has held the same value throughout. A change shown as a dash moved off zero, where a percentage has no meaning.

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). Global Warming Potential (GWP) Values (MasterBrain v2026.110). GreenCalculus. https://greencalculus.com/factors/global-warming-potential-values/

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_gwp_2026,
  author       = {Say, Jeremiah},
  title        = {Global Warming Potential (GWP) Values},
  year         = {2026},
  howpublished = {GreenCalculus},
  note         = {MasterBrain v2026.110},
  url          = {https://greencalculus.com/factors/global-warming-potential-values/}
}

TY  - DATA
AU  - Say, Jeremiah
TI  - Global Warming Potential (GWP) Values
PY  - 2026
PB  - GreenCalculus
ET  - MasterBrain v2026.110
UR  - https://greencalculus.com/factors/global-warming-potential-values/
ER  - 

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

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

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

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

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=global-warming-potential-values

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