Professional summary

Ali is the Science Area Coordinator (SAC) for the Water Resources Science Area and a Project Manager on the Floods and Droughts Research Infrastructure (FDRI). She manages the Digital and Capacity Building work packages with Matt Fry and Gemma Coxon at the University of Bristol. Ali supports the Science Area Head, Gwyn Rees, and the Management Team in coordinating the research activities of the Science Area.

Ali was previously a Hydrological Modeller at UKCEH. She used continuous simulation rainfall-runoff modelling techniques for seasonal forecasting of river flows, modelling droughts and low flows, and exploring the potential impact of climate change on river flows and surface water flooding.

Ali obtained a BSc in Meteorology from the Department of Meteorology, University of Reading, in 2004. She then moved to the University of Surrey for her PhD with Ian Roulstone. Ali investigated the effect of nonlinearity on the variational assimilation of satellite observations using a simple column model.

In 2009, Ali returned to the Department of Meteorology as a Post Doc working with Prof Stephen Belcher. Ali’s work into inverse modelling for urban dispersion also involved running wind tunnel experiments with Prof Alan Robins at the University of Surrey. In 2011 she worked as a Post Doc for Ross Bannister and Stefano Migliorini investigating the representation of model error in a convective-scale ensemble prediction system. In 2012, Ali worked with Prof Mike Lockwood on the University of Reading’s REF submission.

 

 

Selected publications

Hannaford Jamie et al. , (2023), The enhanced future Flows and Groundwater dataset: development and evaluation of nationally consistent hydrological projections based on UKCP18. Earth System Science Data, 15, 2391-2415, http://dx.doi.org/10.5194/essd-15-2391-2023

Rudd Alison C. et al. , (2023), Climate change impacts on flood peaks in Britain for a range of global mean surface temperature changes. Journal of Flood Risk Management, 16, https://doi.org/10.1111/jfr3.12863

Kay Alison L. et al. , (2023), Spatial downscaling of precipitation for hydrological modelling: assessing a simple method and its application under climate change in Britain. Hydrological Processes, 37, https://doi.org/10.1002/hyp.14823

Kay Alison L. et al. , (2023), The UKSCAPE-G2G river flow and soil moisture datasets: Grid-to-Grid model estimates for the UK for historical and potential future climates. Earth System Science Data Discussions, https://doi.org/10.5194/essd-2022-439

Rameshwaran Ponnambalam et al. , (2022), Use of abstraction and discharge data to improve the performance of a national‐scale hydrological model. Water Resources Research, 58, http://dx.doi.org/10.1029/2021WR029787

Kay A.L. et al. , (2021), Grid-based simulation of river flows in Northern Ireland: model performance and future flow changes. Journal of Hydrology: Regional Studies, 38, https://doi.org/10.1016/j.ejrh.2021.100967

Arnell Nigel W. et al. , (2021), Indicators of climate risk in the UK at different levels of warming. Environmental Research Communications, 3, https://doi.org/10.1088/2515-7620/ac24c0

Kay A.L. et al. , (2021), Climate change effects on indicators of high and low river flow across Great Britain. Advances in Water Resources, 151, https://doi.org/10.1016/j.advwatres.2021.103909

Arnell N.W. et al. , (2021), Changing climate risk in the UK: a multi-sectoral analysis using policy-relevant indicators. Climate Risk Management, 31, http://dx.doi.org/10.1016/j.crm.2020.100265

Kay A.L. et al. , (2021), Climate change impacts on peak river flows: combining national-scale hydrological modelling and probabilistic projections. Climate Risk Management, 31, https://doi.org/10.1016/j.crm.2020.100263