The Oxford Team
Prof Myles R. Allen
School of Geography and the Environment, University of Oxford
Myles Allen is the Principal Investigator of climateprediction.net and was the first to propose the use of Probabilistic Event Attribution to quantify the contribution of human and other external influences on climate to specific individual weather events. He is Professor of Geosystem Science in the School of Geography and the Environment, University of Oxford and Head of the Climate Dynamics Group in the University’s Department of Physics.
Andy Bowery is the technical coordinator of climateprediction.net. Andy works as a researcher at the Oxford e-Research Centre, University of Oxford.
Dr Benoît Guillod
Benoît is a scientist working on the MaRIUS project (Managing the Risks, Impacts and Uncertainties of droughts and water Scarcity), using climateprediction.net to generate a synthetic set of drought events in the UK using weather@home. Prior to joining the team, Benoît investigated land-climate interactions at ETH Zurich using remote-sensing observations and regional climate modelling, with a focus on the impact of soil moisture on precipitation.
Dr Karsten Haustein
Karsten Haustein is a postdoctoral researcher working on the World Weather Attribution project, developing the capability to perform quasi-real time attribution analysis of extreme weather events around the world on an operational basis.
Previously, Karsten worked at the Oxford University School of Geography and Environment as a postdoctoral researcher, working with Prof. Richard Washington. Prior to this, he did his Ph.D. thesis at the Barcelona Supercomputing Center, developing a new global and regional model for the prediction of the mineral dust.
Dr William Ingram
Atmospheric, Oceanic and Planetary Physics Department, University of Oxford
William Ingram works 50% for climateprediction.net and 50% for the Met Office Hadley Centre and is climateprediction.net’s expert on the model physics. His research interests are the basic physics of the atmospheric response to climate change, particularly the water vapour feedback. William is a group leader of the climate dynamics group at the subdepartment of Atmospheric, Oceanic and Planetary Physics at Oxford.
Neil R. Massey
Neil Massey is lead scientist on the validation and attribution experiment. Neil’s main research focusses on the use of forecast verification methods to validate the climate models used in climateprediction.net for probabilistic event attribution. He is always the first to apply novel computing methods to modelling and data analysis.
Richard Millar is working on the geoengineering project aiming to model and understand the impacts of various geoengineering scenarios on aspects of the hydrological cycle. In addition to attempting to discover what these effects may be he aims to further our understanding of the fundamental climate physics behind the hydrological cycle. Richard is a graduate student at the Atmospheric, Oceanic and Planetary Physics Department, University of Oxford.
Jonathan Miller is system administrator and web developer for climateprediction.net. Jonathan works as a researcher at the Oxford e-Research Centre, University of Oxford.
Dr Dann Mitchell
Dann joined the ECI in 2014 to work on the ACE Africa project. The aim of this project is to attribute extreme climatic events to external causal factors, such as human or natural activity. His particular areas of expertise related to this project are in extreme value theory and detection and attribution techniques. Prior to moving to the ECI Dann was based at Oxford Physics where his work concentrated on climate change, with a specific focus on the impact on stratospheric dynamics.
Dr Friederike E. L. Otto
Friederike is the scientific coordinator of the climateprediction.net project is and responsible for coordinating and managing all on-going projects using the climateprediction.net distributed computing infrastructure. She is the leading the World Weather Attribution project and Transition Into The Anthropocene (TITAN). Her main research interest is the quantification of uncertainty and validation of climate models, in particular with respect to extreme events, in order to undertake attribution studies of extreme weather events to external climate drivers. A major focus of this work is to explore the propagation of uncertainty from external drivers to actual impacts of climate change on time-scales of up to 30 years. Friederike is a senior scientist at the Environmental Change Institute, University of Oxford.
Hannah Rowlands is the Communications Officer for climateprediction.net. Her role includes managing the project website and the project’s social media presence. She facilitates communication between all the project stakeholders, including participants, scientists and collaborators. She also coordinates publicity and press releases for the project.
Dr Nathalie Schaller
Nathalie Schaller is a scientist currently using climateprediction.net for two different project. On the one hand, she is investigating whether different spatial patterns of warming lead to different feedback processes in the climate system. On the other hand, she is interested in identifying whether human influence increased the odds of certain extreme weather events, such as the extreme flooding in the UK in 2013-14, to occur. Nathalie is a visiting research associate at the School of Geography and the Environment, University of Oxford.
Dr Sarah N. Sparrow
Sarah Sparrow is a scientist working on the RAPID-CHAAOS project and Transition Into The Anthropocene (TITAN). Her background is in atmospheric dynamics and she is interested in how large scale dynamics translates to climate impact studies. She currently is working on identifying a set of model versions that are consistent with recent observations of the ocean surface and subsurface. Sarah is a researcher at the School of Geography and the Environment, University of Oxford.
Dr David Wallom
David Wallom is the technical manager of climateprediction.net. He is an associate director and leader of the Volunteer Computing Group at the Oxford e-Research Centre, University of Oxford.