Parallel Session: CE assessment metrics – Comparative, Integrative, Comprehensive

09:00 - 10:30
To enable fair, comprehensive and comparative decision-making on Climate Engineering, we need to foster a multidisciplinary and integrative selection process for assessment metrics. In this session we want to learn to what extent established climate-change assessment metrics are applicable for Climate Engineering assessment and what kind of extensions are needed.
This session aims to foster discussions about approaches to comparatively assess different climate engineering (CE) ideas, both among each other and in the context of mitigation. We encourage contributions that address the following questions:
  • How can effects of SRM and CDR methods be compared with each other and with classical mitigation approaches?
  • Which indicators are useful for a comprehensive assessment of SRM and CDR methods?
  • To what extent are structurally new metrics compared to global warming mitigation assessment metrics needed for CE?
  • How can uncertainty be treated explicitly in metrics design?
  • What new challenges arise for the assessment process when different CE methods are combined?
  • How to select indicators for a fair and comprehensive comparison of different CE methods?
  • How to ensure societal relevance of the assessment criteria?
  • How should stakeholders co-shape the design of metrics?
Note: Hermann Held, while playing a lead role in co-convening this session, is unfortunately not able to attend in person.

Nadine Mengis

Concordia University

Dr. Nadine Mengis is a PostDoc in the department of Geography at the Concordia University, Montreal, Canada. While she worked on single Climate Engineering scenarios, and in particular the Climate Engineering assessment challenge during her PhD, her main research interest is uncertainty assessment within Earth system models. At her new position she is hence working on assessing the uncertainty within carbon budget estimates for ambitious climate target such as the 1.5 °C temperature target. 

Sebastian Sonntag

Max Planck Institute for Meteorology

Sebastian Sonntag is a scientist at the Max Planck Institute for Meteorology, Hamburg, Germany. He has a background in physics, he holds a PhD in geoscience, and his research involves understanding interactions and feedbacks in the Earth system using models of different complexity. He is working on both SRM as well as land- and ocean-based CDR methods with a focus on the climate and carbon cycle response as simulated with an Earth system model.

Elnaz Roshan

Universität Hamburg, International Max Planck Research School on Earth System Modeling

Elnaz Roshan is a doctoral candidate in economics at University of Hamburg and International Max Planck Research School on Earth System Modeling. Her research focuses on integrated cost-risk trade-off of solar radiation management (SRM) and mitigation when regional climate disparities and probabilistic information on climate sensitivity are taken into account. She is interested in decision making under uncertainty and studying the most prominent pros and cons of SRM in the concept of cost and risk.

Hermann Held

Universität Hamburg

Hermann Held is chair for Sustainability & Global Change at Universität Hamburg. His research focusses on decision-making under heterogeneous uncertainty within climate economics. For the special case of solar radiation management he develops schemes for risk-cost-risk intercomparison within the value system spanned by global mean temperature targets. He has served as Lead Author within IPCC-AR5-WGIII and is currently a member of the Scientific Steering Committee of Hamburg’s Cluster of Excellence on climate CliSAP.