I am a Senior Lecturer in Computational Hydrology at The University of Manchester. My area of expertise are hydrological data, hydrological modelling and climate impacts.
My work falls into two categories. The first is about improving the quantity and quality of hydrological data, so that we can examine observations and determine how climate change is already affecting hydrological extremes. This includes investigating the potential application of novel datasets such as citizen science data, community-gathered data, and data hidden in institutional records, as well as creating software to rigorously quality control existing formal data streams. My second focus is on developing sophisticated computer models to project near-real time to far future flood and drought characteristics and frequencies. In this work I use a national-scale physically-based hydrological model (SHETRAN-GB) to investigate climate impacts on future high and low flows.
I think that science communication is a key duty of a researcher and so I have tried to do a lot of it! See my web page for examples of outreach work that I have done: https://www.ncl.ac.uk/engineering/staff/profile/elizabethlewis2.html
PYRAMID: Platform for dYnamic, hyper-resolution, near-real time flood Risk AssessMent Integrating repurposed and novel Data sources
– £1M NERC project led by Dr Elizabeth Lewis (PI: Prof Hayley Fowler)
– Building a dynamic flood modelling and data system.
OpenCLIM: Open CLimate IMpacts modelling framework
– £2M NERC project led by Prof Robert Nicholls
– Designed to support UK assessment of climate risks and adaptation needs, and future UK government Climate Change Risk Assessments, by developing and applying a first UK integrated assessment for climate impacts and adaptation.
Legacy wastes in the coastal zone: Environmental risks and management futures
– £2M NERC project led by Dr Adam Jarvis
– My role is to determine potential impacts of climate change on pollution risk due to legacy wastes using state-of-the-art hydrological modelling (WP3)
INTENSE (“INTElligent use of climate models for adaptatioN to non-Stationary hydrological Extremes”):
– €2M ERC project led by Prof. Hayley Fowler, Newcastle University
– Exploring drivers of change in extreme sub daily rainfall
– Creating a global sub-daily rainfall dataset
– Extensive quality control algorithms developed.
