Navigating cascades of uncertainty — as easy as ABC? Not quite…
journal contributionposted on 10.09.2018 by Katie Smith, Robert L. Wilby, Ciaran Broderick, Christel Prudhomme, Tom Matthews, Shaun Harrigan, Conor Murphy
Any type of content formally published in an academic journal, usually following a peer-review process.
The uncertainties in scientific studies for climate risk management can be investigated at three levels of complexity: “ABC”. The most sophisticated involves “Analyzing” the full range of uncertainty with large multi-model ensemble experiments. The simplest is about “Bounding” the uncertainty by defining only the upper and lower limits of the likely outcomes. The intermediate approach, “Crystallizing” the uncertainty, distills the full range to improve the computational efficiency of the “Analyze” approach. Modelers typically dictate the study design, with decision-makers then facing difficulties when interpreting the results of ensemble experiments. We assert that to make science more relevant to decision-making, we must begin by considering the applications of scientific outputs in facilitating decision-making pathways, particularly when managing extreme events. This requires working with practitioners from outset, thereby adding “D” for “Decision-centric” to the ABC framework.
This research was funded through the Natural Environment Research Council (NERC), Grant Refs: NE/L01016X/1 and NE/L010267/1.
- Social Sciences
- Geography and Environment