Litcius/Paper detail

A protocol for probabilistic extreme event attribution analyses

Sjoukje Philip, Sarah Kew, Geert Jan van Oldenborgh, Friederike E. L. Otto, Robert Vautard, Karin van der Wiel, Andrew King, Fraser C. Lott, Julie Arrighi, Roop Singh, Maarten van Aalst

2020Advances in statistical climatology, meteorology and oceanography314 citationsDOIOpen Access PDF

Abstract

Abstract. Over the last few years, methods have been developed to answer questions on the effect of global warming on recent extreme events. Many “event attribution” studies have now been performed, a sizeable fraction even within a few weeks of the event, to increase the usefulness of the results. In doing these analyses, it has become apparent that the attribution itself is only one step of an extended process that leads from the observation of an extreme event to a successfully communicated attribution statement. In this paper we detail the protocol that was developed by the World Weather Attribution group over the course of the last 4 years and about two dozen rapid and slow attribution studies covering warm, cold, wet, dry, and stormy extremes. It starts from the choice of which events to analyse and proceeds with the event definition, observational analysis, model evaluation, multi-model multi-method attribution, hazard synthesis, vulnerability and exposure analysis and ends with the communication procedures. This article documents this protocol. It is hoped that our protocol will be useful in designing future event attribution studies and as a starting point of a protocol for an operational attribution service.

Topics & Concepts

AttributionEvent (particle physics)Protocol (science)Computer scienceVulnerability (computing)PsychologyComputer securitySocial psychologyMedicinePathologyAlternative medicineQuantum mechanicsPhysicsClimate variability and modelsMeteorological Phenomena and SimulationsWind and Air Flow Studies