pyam

pyam provides programmatic functions to process, validate, and visualize reference data and scenario timeseries for analysis of energy transition, climate change mitigation, and sustainable-development scenarios.

Key Features:

• Versatile Data Handling: Supports a wide range of data formats and timeseries, including sub-annual resolution via continuous time representation and representative timeslices.
• Scenario Processing, Validation, and Analysis: Implements methods for processing scenario results and validating timeseries to enable reproducible scenario comparisons.
• Visualization: Provides functionality to generate visual representations of reference data and scenario outputs for analysis of climate and energy metrics.
• Integration with Modeling Frameworks and Ensembles: Interoperates with integrated assessment models, macro-energy tools, and scenario ensembles used in IPCC assessments and research projects.

Scientific Applications:

• Integrated Assessment and Macro-energy Model Analysis: Analysis of scenario outputs from integrated assessment models and macro-energy tools.
• Validation of Climate and Energy Scenarios: Validation of timeseries and sub-annual scenario data relevant to climate policy and energy-systems research.
• Ensemble Processing for Assessments: Processing and comparison of scenario ensembles supporting IPCC reports and research projects.
• Evaluation of Transition and Mitigation Pathways: Quantitative assessment of energy transition and climate change mitigation scenarios.

Methodology:

Processing of reference data and scenario timeseries, including continuous time representation and representative timeslices, with functions for scenario processing, validation, and visualization.