publication . Other literature type . Article . 2020

Silicone

Lamboll, Robin D.; Nicholls, Zebedee R. J; Kikstra, Jarmo S.;
Open Access English
  • Published: 12 May 2020
  • Publisher: Zenodo
Abstract
Silicone is an open-source Python package which infers anthropogenic emissions of missing species based on other known emissions. For example, it can infer nitrous oxide emissions in one scenario based on carbon dioxide emissions from that scenario plus the relationship between nitrous oxide and carbon dioxide emissions in other scenarios. This broadens the range of IAMs available for exploring projections of future climate change and hence Silicone forms part of the open-source pipeline for assessments of the climate implications of IAM scenarios, led by the Integrated Assessment Modelling Consortium (IAMC). A paper describing the model in detail can be found a...
Persistent Identifiers
Subjects
free text keywords: IAM, infilling
Funded by
EC| CONSTRAIN
Project
CONSTRAIN
Constraining uncertainty of multi decadal climate projections
  • Funder: European Commission (EC)
  • Project Code: 820829
  • Funding stream: H2020 | RIA
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Zenodo
Other literature type . 2020
Provider: Datacite
ZENODO
Article . 2020
Provider: ZENODO
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