Skip to main content

This package computes uncertainties in GWP values for a number of substances as described in the IPCC 2013 report.

Project description

Welcome to gwp_uncertainties!

This package allows computation of uncertainties in GWP and AGWP values for environmental flows with known radiative efficiencies, lifetimes and their respective perturbations.

Table values for all flows are stored in the data/ipcc2013.json file and have been taken from the following resources

  • Molecular weights from https://pubchem.ncbi.nlm.nih.gov/
  • Radiative efficiencies and lifetimes
    • for most flows can be found in the IPCC Climate Change report from 2013, Chapter 8 and Table 8.A.1
    • data/ipcc2013.json contains "_comment" field with the exact source table and matching name of a given flow in the IPCC report

Here we only consider flows that are present in the Life Cycle Assessment method ("IPCC 2013", "climate change") with time horizons of 20 and 100 years.

For the uncertainty calculations we employ a method based on first-order Taylor expansion as suggested in the Supplementary Material of the IPCC Climate Change report from 2013 (see Chapter 8.SM). Given a function $$y = f(x_1,...,x_k),$$ the uncertainty in f can be computed as follows:

$$\Delta f = \sqrt{\sum_i (\Delta f_i)^2} = \sqrt{\sum_i \big( \frac{\partial f}{\partial x_i} \Delta x_i \big)^2}, $$

where in our case, f is a function that computes GWP values, and inputs x depend on the flow:

  • x = (lifetime, radiative efficiency) for all flows except for methane and nitrous oxide
  • x = (lifetime, radiative efficiency, f1, f2) for methane and nitrous oxide (see 8.SM.11.3.2 and 8.SM.11.3.3 of the IPCC supplementary materials), where f1 is added due to effects on ozone and f2 is due to stratospheric H2O.

Uncertainties in the inputs x are given in Table 8.SM.12 and Section 8.3.1. Uncertainty \Delta f corresponds to a 90% confidence interval, and is converted to standard deviation of normal distribution by scaling it down by 1.645.

A special case is carbon monoxide, where we assume uniform distribution (see Table 8.A.4).

Note that

  • Uncertainties in NOx and VOC have not been taken into account in the current implementation. GWP values are given in Tables 8.A.3 and 8.A.5 respectively.

Results

flows_gwp_uncertainties

table values

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gwp_uncertainties-0.3.dev1.tar.gz (3.4 kB view details)

Uploaded Source

Built Distribution

gwp_uncertainties-0.3.dev1-py3-none-any.whl (3.5 kB view details)

Uploaded Python 3

File details

Details for the file gwp_uncertainties-0.3.dev1.tar.gz.

File metadata

  • Download URL: gwp_uncertainties-0.3.dev1.tar.gz
  • Upload date:
  • Size: 3.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for gwp_uncertainties-0.3.dev1.tar.gz
Algorithm Hash digest
SHA256 0b80009d12adb807fd99d1ea58eb3b24fb3ae1e33c67b21fb768134e95d339be
MD5 8f9b52654a4de204c9cd06bd1130420a
BLAKE2b-256 153e9597aa35eb94f8b514a3adab2a8dcca0a831e6f9116accc0c46e8f27e1e9

See more details on using hashes here.

File details

Details for the file gwp_uncertainties-0.3.dev1-py3-none-any.whl.

File metadata

File hashes

Hashes for gwp_uncertainties-0.3.dev1-py3-none-any.whl
Algorithm Hash digest
SHA256 ebeb0a8773df5ce42b26285bd22749266f937118102c969782ef4272de5f596c
MD5 bb92fd848b28442712d25e56a3d4977a
BLAKE2b-256 9b6026effc0232d88808a33a53c55974373a445c278b260a7519cfe5584f79c8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page