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References from pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios. Local targets link to admitted publications; unresolved targets remain external evidence.
Leveraging open-source tools for collaborative macro-energy system modeling efforts.
10.1016/j.joule.2020.11.002 · 2020 · External reference
Opening the black box of energy modelling: strategies and lessons learned.
10.1016/j.esr.2017.12.002 · 2018 · External reference
The FAIR Guiding Principles for scientific data management and stewardship.
10.1038/sdata.2016.18 · 2016 · External reference
Matplotlib: a 2d graphics environment.
10.1109/mcse.2007.55 · 2007 · External reference
Seaborn: statistical data visualization.
10.21105/joss.03021 · 2021 · External reference
madrat: May All Data be Reproducible and Transparent (MADRaT).
10.5281/zenodo.1115490 · 2021 · External reference
An open-source tool for visualization of climate mitigation scenarios: mipplot.
10.1016/j.envsoft.2021.105001 · 2021 · External reference
pyam: a Python package for the analysis and visualization of models of the interaction of climate, human, and environmental Systems.
10.21105/joss.01095 · 2019 · External reference
A new scenario resource for integrated 1.5 °C research.
10.1038/s41558-018-0317-4 · 2018 · External reference
MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education.
10.1109/tpwrs.2010.2051168 · 2011 · External reference
PyPSA: Python for Power System Analysis.
10.5334/jors.188 · 2018 · External reference
Pandapower—An Open-Source Python Tool for Convenient Modeling, Analysis, and Optimization of Electric Power Systems.
10.1109/tpwrs.2018.2829021 · 2018 · External reference
Translating cim xml power system data to a proprietary format for system simulation.
10.1109/tpwrs.2003.820691 · 2004 · External reference
Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization.
10.5194/gmd-9-1937-2016 · 2016 · External reference
An overview of CMIP5 and the experiment design.
10.1175/bams-d-11-00094.1 · 2012 · External reference
Requirements for a global data infrastructure in support of cmip6.
10.5194/gmd-11-3659-2018 · 2018 · External reference
Network common data form (netcdf).
10.5065/d6h70cw6 · 2020 · External reference
CDO User Guide
10.5281/zenodo.3539275 · 2019 · External reference
Xarray: N-D labeled arrays and datasets in Python.
10.5334/jors.148 · 2017 · External reference
Iris: A Python library for analysing and visualising meteorological and oceanographic data sets
2019 · External reference
Earth System Model Evaluation Tool (ESMValTool) v2.0 - Technical overview.
10.5194/gmd-13-1179-2020 · 2020 · External reference
scmdata: handling of simple climate model data
2021 · External reference
Regionally aggregated, stitched and de-drifted cmip-climate data, processed with netcdf-scm v2.0.0.
10.1002/gdj3.113 · 2021 · External reference
Good enough practices in scientific computing.
10.1371/journal.pcbi.1005510 · 2017 · External reference
IAMC 1.5°C Scenario Explorer and Data hosted by IIASA.
10.5281/zenodo.3363345 · 2019 · External reference
pik-primap/unfccc_di_api: Version 2.0.0
10.5281/zenodo.4457483 · 2021 · External reference
Notebooks for IAM scenario analysis for the IPCC Special Report on 1.5°C of Global Warming
10.22022/sr15/08-2018.15428 · 2018 · External reference
Emission pathways towards a low-carbon energy system for europe: a model-based analysis of decarbonization scenarios.
10.5547/01956574.42.5.khai · 2020 · External reference
Open-source modeling of a low-carbon urban neighborhood with high shares of local renewable generation.
10.1016/j.apenergy.2020.116166 · 2021 · External reference
Modelling to generate alternatives with an energy system optimization model.
10.1016/j.envsoft.2015.11.019 · 2016 · External reference
Assessing global climate change mitigation scenarios from a power system perspective using a novel multi-model framework.
2021 · External reference
A methodology and implementation of automated emissions harmonization for use in Integrated Assessment Models.
10.1016/j.envsoft.2018.04.002 · 2018 · External reference
Silicone v1.0.0: an open-source Python package for inferring missing emissions data for climate change research.
10.5194/gmd-13-5259-2020 · 2020 · External reference
OpenSCM-Runner: thin wrapper to run simple climate models (emissions driven runs only)
2021 · External reference
The future of European onshore wind energy potential: Detailed distribution and simulation of advanced turbine designs.
10.1016/j.energy.2019.06.052 · 2019 · External reference
