Beta This website is in development — content and design are still changing
IAMC

Publication

pyam: a Python Package for the Analysis and Visualization of Models of the Interaction of Climate, Human, and Environmental Systems

We present a new tool which aims to fill the current gaps in the IAM toolbox: an open-source analysis and visualization library named pyam (Matthew J. Gidden & Huppmann, 2018). pyam has been designed since its inception following known best practices in scientific software development, including automatic documentation, unit testing,

We present a new tool which aims to fill the current gaps in the IAM toolbox: an open-source analysis and visualization library named pyam (Matthew J. Gidden & Huppmann, 2018). pyam has been designed since its inception following known best practices in scientific software development, including automatic documentation, unit testing, and continuous integration. At its core, pyam is a tool that enables researchers to easily explore, categorize, and visualize scenario data such as the scenario ensembles assessed by the IPCC. Such exploration is enabled via a pandas. DataFrame-style interface using a composition design pattern while maintaining sidecar metadata in a single pyam.IamDataFrame object.

More publications

A harmonised dataset for Earth system foundation models

Foundation models for Earth systems have so far been trained primarily on physical climate and weather data, with limited representation of the human systems that both drive and respond to environmental change. The lack of a unified global training resource that combines climate, land, ocean, cryosphere, infrastructure, hazards, and socioeconomic