Lecturers

Introduction
Francis ZWIERS Pacific Climate Impacts Consortium, Canada		What is an extreme event?
Sonia SENEVIRATNE ETH Zurich, Switzerland		How do extremes changes in the context of climate change?
Extreme event prediction at seasonal and shorter lead times
Francisco DOBLAS-REYES IC3, Spain		Working with multi-model seasonal predictions to assess the skill of extreme wind seasonal events, and at least over Europe try to link them to NAO predictions.
Arun KUMAR NOAA/CPC, USA
Statistical theory
Lisa ALEXANDER UNSW, Australia		Observations of Extremes
Eric GILLELAND NCAR, USA		Statistical theory, introduction to R & NCAR extreme package
David KAROLY University of Melboune, Australia
Philippe NAVEAU LSCE-IPSL, France		Advanced applications of extreme value theory
Detection and attribution
Francis ZWIERS Pacific Climate Impacts Consortium, Canada		General introduction Optimized and non-optimized methods, application to extremes
Event attribution:
Friederike OTTO University of Oxford, UK		Attributable risk assessment approach
Peter STOTT Met Office, UK		Attributable risk assessment approach
Event attribution: Physical process assessment approach
David KAROLY University of Melboune, Australia		Large scale circulation
Sonia SENEVIRATNE ETH Zurich, Switzerland		Land-climate feedbacks, local v. large scale drivers

Teaching Assistants
Han Quizi WEN Environment Canada Rene ORTH ETHZ, Switzerland Daniel MITCHEL University of Oxford, UK Fraser LOTT UK Met Office, UK Andrew CIAVARELLA UK Met Office, UK Markus DONAT ARC Centre of Excellence for Climate System Science, Australia Chloé Prodhomme IC3, Spain

Last Updated: 28 September 2016

Lecturers

Introduction

Extreme event prediction at seasonal and shorter lead times

Statistical theory

Detection and attribution

Event attribution:

Event attribution: Physical process assessment approach

Teaching Assistants

WCRP-ICTP Summer School

Discover

Learn

Connect