3.Kent, T., Bokhove, O. (2021): Wetropolis rainfall and flood demonstrator: towards real-time simulations with data assimilation In prep.
2.Kent, T.,
Bokhove, O. (2020): Ensuring 'well-balanced' shallow water flows via a
discontinuous Galerkin finite element method: issues at lowest order. arXiv:2006.03370 [physics.comp-ph]. To be submitted.
1.Kent, T.,
Cantarello, L., Inverarity, G.W., Tobias, S.M., Bokhove, O. (2020):
Idealised forecast-assimilation experiments for convective-scale
Numerical Weather Prediction. Earth-ArXiv. To be submitted.
Published
5. Bokhove, 0., Hicks, T., Zweers, W. and Kent, T.
(2020): Wetropolis extreme rainfall and flood demonstrator: from mathematical design to outreach.
Hydrol. Earth Syst. Sci., 24, 2483–2503, DOI. [Selected as a journal highlight
- May 2020.]
4. Bokhove, O., Kelmanson, M.A., Kent. T., Piton, G. and Tacnet, J.-M. (2020): A cost-effectiveness protocol for flood-mitigation plans based on Leeds' Boxing Day 2015 floods. Water, 12, 652, DOI.
3. Bokhove, O., Kelmanson, M.A., Kent. T., Piton, G. and Tacnet, J.-M. (2019): Communicating (nature-based) flood-mitigation schemes using flood-excess volume. River Res. Applic.35 1402-1414, DOI.
2.Kent, T., Bokhove, O., Tobias, S.M. (2017): Dynamics of an idealized fluid model for investigating convective-scale data assimilation. Tellus A: Dynamic Meteorology and Oceanography, 69(1), 1369332. DOI. Numerical model available on GitHub.
1. Wong, G., Maraun, D., Vrac, M., Widmann, M., Eden, J.M, and Kent, T. (2014): Stochastic model output statistics for bias correcting and downscaling precipitation including extremes. J. Climate, 27, 6940–6959. DOI.
Theses
2.Kent, T. (2017): An idealised fluid model of convective-scale NWP: dynamics and data assimilation. PhD Thesis, University of Leeds. Available at: http://etheses.whiterose.ac.uk/17269/
1.Kent, T. (2012): Stochastic correction and downscaling of daily precipitation via a probability mixture model. MSc Thesis, University of Birmingham. Available on request.
Github repos/projects
5.Flood-Excess-Volume:
Using 'flood-excess volume' to assess and communicate flood-mitigation schemes: case studies incl. source code and output.
4.hydraulic_wetro:
Wetropolis rainfall and flood demonstrator: developments in hydraulic modelling and visualisation.
3.wellbalanced_SW_DGFEM:
Ensuring 'well-balanced' shallow water flows via a discontinuous Galerkin finite element method: issues at lowest order.
2.SW_riemann_problem:
Exact solutions of the Riemann problem for the shallow water equations: rarefaction waves, shocks, and contact discontinuities.
1.modRSW_EnKF:
An idealised convective-scale forecast-assimilation framework.
Other
3. Kent, T. (2020): DARE contributes evidence to national flooding inquiry. Data Assimilation for the Resilient City blog. Available
online.
2. Bokhove, O., Kelmanson M.A., Kent, T. (2020): A new tool for communicating cost-effectiveness of flood-mitigation schemes.
Written evidence, DEFRA UK flood inquiry. Available
online.
1. Kent, T. (2018): Using flood-excess volume to assess and communicate flood-mitigation schemes.
Data Assimilation for the Resilient City blog. Available
online.