Inside the Black Box: Understanding key drivers of global emission scenarios
| Autor: | John P. Weyant, Zachary Schmidt, Holmes Hummel, Jonathan G. Koomey |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Global energy
Environmental Engineering 010504 meteorology & atmospheric sciences Computer science 020209 energy Ecological Modeling 02 engineering and technology Environmental economics 01 natural sciences 0202 electrical engineering electronic engineering information engineering Key (cryptography) Scenario analysis Good practice Software 0105 earth and related environmental sciences |
| Zdroj: | Environmental Modelling & Software. 111:268-281 |
| ISSN: | 1364-8152 |
| Popis: | Technology and policy implications of global energy and emissions scenarios can be difficult to analyze because underlying assumptions and drivers of scenarios are rarely made explicit. This article documents methods for standardizing emissions scenario results that can be applied to virtually any scenario, enabling more meaningful comparisons among scenarios than has been possible in the past. This approach uses charts showing the dynamics and effects of emission drivers, mitigation technologies, and policies. Applying these methods will enable the policy and research communities to better understand the implications of scenarios, and help analysts learn more rapidly. As a matter of good practice, modelers should create decompositions like the ones put forth in this article, policy makers should request them, and funders of scenario analysis and sponsors of model comparisons should support the application and further development of such tools. |
| Databáze: | OpenAIRE |
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