Tropical Cyclone

Extreme Events-Tropical Cyclones

Extreme events have a profound impact on society. We have developed a novel weather generator: IMAGE. This is part of an open source catastrophe

model project (OASIS) for the insurance sector and others.

We are using fully coupled ocean-atmosphere- wave models (WRF_ROMS_SWAN) to understand the physical processes of tropical cyclones.

A stochastic model of West Pacific land falling cyclones for risk assessment has been developed. In partnership with the UK Met Office,

2nd Institute of Ocean Oceanography in Hangzhou, the Hong Kong Observatory and City University of Hong Kong we are studying

typhoons and producing seasonal forecasts of West Pacific tropical cyclones.

Presentation on Tropical Cyclones


Regional Climate Models

We are developing a high resolution model which couples the atmosphere, ocean, waves, land, river input and sea-ice on a regional scale.

This model advances our understanding of wind energy and extreme events. The model is suitable for regional climate change

simulations and other ocean-atmosphere-land sensitivity studies.

The core atmospheric module is WRF and the core ocean module is ROMS. Examples of our different models can be found here:

Presentation on Regional Models


Funders: NERC, EPSRC, UK Met Office, EU, Industry


Research Scientists

Dr Nathan Sparks

Dr Shuai Wang

Dr Luke Phillipson


PhD Students

Mohan Smith

Robbie Parks

Thomas Leahy

Cesar Quilodran Casas


Past members of the group and their destinations:


Nicola Clegg (Electricity North West, Manchester)

Victoria Williams (EPSRC Fellow in Transport, London)

Kirsten Mitchell-Wallace (SCOR, Insurance, Zurich, Switzerland)

Adam Hadley (Hedge Fund, London)

Ashley Tomsett (Deloitte, Nottingham)

Jo Syroka (African Risk Capacity, South Africa)

Alessio Farhadi (BNP, Banking, London)

Mark McCarthy (UK Met Office, Exeter)

Paul Wilson (Risk Management Solutions, Insurance, London)

Elizabeth Kendon (Kennett) (UK Met Office, Exeter)

Nicola Ranger (Patmore) (Department for International Development, London)

Stephen Smith (Parliamentary Office of Science and Technology, London)

Matt Rigby (University of Bristol)

Catherine Reiffen (Science Museum, London)

Robert Seaman (UK Met Office, Exeter)

Andrew Singleton (Norwegian Met Office, Oslo, Norway)

Marilia Giannakopoulou (EDF Energy, London)

Clea Denamiel (Massachusetts Institute of Technology, USA)

James Farley-Nichols (Weather Analyst, City Financial, London)

Bronwyn Cahill (Consulting, Berlin, Germany)

Rachel White (University of Washington, USA)

Christina Newinger (Deutsches Museum, Munich, Germany)

Raluca Radu (ECMWF, Reading)

Matthias Schmid (Willis Re, London)

Benjamin Wong (DSO National Laboratories, Singapore)

Hannah Nissan (Columbia University, New York, USA)

Maria Broadbridge (University of Reading)

Sam Phibbs (Willis Re, London)

Helen Tamura-Wicks (School of Public Health, Imperial College)

Nicolas Bruneau (National Centre of Oceanography, Liverpool)

Stephen Hardwick (, Data Science start-up)

Carlo Corsaro (, Data Science start-up)

Arjav Trivedi (Data Science, Arsenal FC)

Yi Li (National Supercomputing Center, Wuxi)