A tool for validation and vetting of model results in IAM COMPACT

Poster presented at the online poster session for the 17th IAMC annual conference. Abstract: This poster presents `iam-validation`, a public version of a Python package developed to diagnose and validate compliance with formats, naming conventions and harmonization data for model results in the EU Horizon Europe project IAM COMPACT. The package can be leveraged to perform similar tasks for any project or set of models that produce output in IAMC format. It leverages the existing packages pyam, nomenclature, and pathways-ensemble-analysis, but expands them with functionality that allow more detailed feedback on where models outputs differ from defined standards and scenario protocols, and produces year-by-year comparisons with harmonization data sets.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-21
DOI
https://doi.org/10.5281/zenodo.14015170
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
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article

A tool for validation and vetting of model results in IAM COMPACT

Zenodo (CERN European Organization for Nuclear Research)
Computational Physics and Python Applications
article

A tool for validation and vetting of model results in IAM COMPACT

article en

Abstract

Poster presented at the online poster session for the 17th IAMC annual conference. Abstract: This poster presents `iam-validation`, a public version of a Python package developed to diagnose and validate compliance with formats, naming conventions and harmonization data for model results in the EU Horizon Europe project IAM COMPACT. The package can be leveraged to perform similar tasks for any project or set of models that produce output in IAMC format. It leverages the existing packages pyam, nomenclature, and pathways-ensemble-analysis, but expands them with functionality that allow more detailed feedback on where models outputs differ from defined standards and scenario protocols, and produces year-by-year comparisons with harmonization data sets.

Zenodo (CERN European Organization for Nuclear Research)
CICERO Center for International Climate Research (NO)
Partnerships for the goals
Openalex Percentile: Top 68%
Computational Physics and Python Applications
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