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Dr Jeffrey Neal
Dr Jeffrey Neal
Lecturer in Physical Geography
Area of research
Hydraulic Modelling, Flood Risk and Data Assimilation
My research interests include the development of hydraulic models and the assimilation of observations with such models across and range of spatial scales. I also undertake research to support flood risk management, which includes work on modelling flood hazard in urban areas and methods to increase the computational efficiency of hydraulic models.
I’m currently an early career research fellow funded by the Leverhulme Trust to investigate data assimilation methods for river discharge estimation from remote sensing. I’m also an advisor for the NERC DEMON project, a developer of the LISFLOOD-FP hydraulic model and co-investigator on the €3.2M EU-FP7 funded Kulturisk project.
As a researcher for the EPSRC/EA Flood Risk Management Research Consortium, I evaluated the use of distributed post flood water mark data for calibrating a city scale flood inundation models and undertook research into developing more efficient hydraulic models to support uncertainty analysis and large scale applications. Recently I developed a methodology to assimilate observations from SAR imagery, using an ensemble Kalman filter, with a hydraulic model driven by a rainfall-runoff model to estimate river discharge. My PhD research assimilated measurements from a novel wireless sensor network with a quasi two-dimensional hydraulic model for more accurate short-term level and flow forecasting in a coastal estuary and river system.
- Hydraulic modelling
- Neal, J, Schumann, G & Bates, P, 2012, A subgrid channel model for simulating river hydraulics and floodplain inundation over large and data sparse areas. Water Resources Research, vol 48.
- Neal, J, Keef, C, Bates, P, Beven, K & Leedal, D, 2012, Probabilistic flood risk mapping including spatial dependence. Hydrological Processes.
- Neal, J, Bates, P, Fewtrell, T, Hunter, N, Wilson, M & Horritt, M, 2009, Distributed whole city water level measurements from the Carlisle 2005 urban flood event and comparison with hydraulic model simulations. Journal of Hydrology, vol 368., pp. 42 - 55
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- Durand, M, Gleason, CJ, Garambois, PA, Bjerklie, D, Smith, LC, Roux, H, Rodriguez, E, Bates, PD, Pavelsky, TM, Monnier, J, Chen, X, Di Baldassarre, G, Fiset, JM, Flipo, N, Frasson, RPdM, Fulton, JR, Goutal, N, Hossain, F, Humphries, E, Minear, JT, Mukolwe, MM, Neal, JC, Ricci, S, Sanders, BF, Schumann, GJ, Schubert, JE & Vilmin, L, 2016, An intercomparison of remote sensing river discharge estimation algorithms from measurements of river height, width, and slope. Water Resources Research, vol 52., pp. 4527?4549
- Fernández, A, Najafi, MR, Durand, M, Mark, BG, Moritz, M, Jung, HC, Neal, J, Shastry, A, Laborde, S, Phang, SC, Hamilton, IM & Xiao, N, 2016, Testing the skill of numerical hydraulic modeling to simulate spatiotemporal flooding patterns in the Logone floodplain, Cameroon. Journal of Hydrology, vol 539., pp. 265-280
- Trigg, M, Birch, C, Neal, J, Bates, P, Smith, A, Sampson, C, Yamazaki, D, Hirabayashi, Y, Pappenberger, F, Dutra, E, Ward, PJ, Winsemius, HC, Salamon, P, Dottori, F, Rudari, R, Kappes, M, Simpson, A, Hadzilacos, G & Fewtrell, T, 2016, The credibility challenge for global fluvial flood risk analysis. Environmental Research Letters.
- Neal, J, Andreadis, KM, Schumann, G, Stampoulis, D, Smith, A, Bates, P, Sampson, C, Brackenridge, R & Kettner, A, 2016, Building a flood climatology and rethinking flood risk at continental scales.
- O'Loughlin, FE, Neal, JC, Yamazaki, D & Bates, PD, 2016, ICESat-derived inland water surface spot heights. Water Resources Research, vol 52., pp. 3276-3284
- García-Pintado, J, Mason, DC, Dance, SL, Cloke, HL, Neal, JC, Freer, J & Bates, PD, 2015, Satellite-supported flood forecasting in river networks: A real case study. Journal of Hydrology, vol 523., pp. 706-724
- Mason, DC, Trigg, M, Garcia-Pintado, J, Cloke, HL, Neal, JC & Bates, PD, 2015, Improving the TanDEM-X Digital Elevation Model for flood modelling using flood extents from Synthetic Aperture Radar images. Remote Sensing of the Environment, vol 173., pp. 15-28
Dr Neal currently teaches 1 courses:
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