Journal Articles

Gupta, R, Chembolu, V, Marjoribanks, T, Dutta, S (2024) Assessing the efficacy of hydro-ecological based wetland management approach for flood resilience of a large river catchment, Journal of Hydrology, 641, pp.131761-131761, ISSN: 0022-1694. DOI: 10.1016/j.jhydrol.2024.131761.

Kelder, T, Marjoribanks, T, Slater, LJ, Prudhomme, C, Wilby, R, Wagemann, J, Dunstone, N (2022) An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions, Meteorological Applications, 29(3), e2065, ISSN: 1350-4827. DOI: 10.1002/met.2065.

Kelder, T, Wanders, N, van der Wiel, K, Marjoribanks, T, Slater, LJ, Wilby, R, Prudhomme, C (2022) Interpreting extreme climate impacts from large ensemble simulations – are they unseen or unrealistic?, Environmental Research Letters, 17(4), 044052, DOI: 10.1088/1748-9326/ac5cf4.

Hardy, RJ, Best, JL, Marjoribanks, T, Parsons, DR, Ashworth, PJ (2021) The influence of three‐dimensional topography on turbulent flow structures over dunes in unidirectional flows, Journal of Geophysical Research: Earth Surface, 126(12), e2021JF006121, ISSN: 2169-9003. DOI: 10.1029/2021jf006121.

Simmonds, LP, Simmonds, GE, Wood, M, Marjoribanks, T, Amburgey, JE (2021) Revisiting the Gage–Bidwell Law of Dilution in Relation to the Effectiveness of Swimming Pool Filtration and the Risk to Swimming Pool Users from Cryptosporidium, Water, 13(17), pp.2350-2350, DOI: 10.3390/w13172350.

Marjoribanks, T and Paul, M (2021) Modelling flow-induced reconfiguration of variable rigidity aquatic vegetation, Journal of Hydraulic Research, 60(1), pp.46-61, ISSN: 0022-1686. DOI: 10.1080/00221686.2020.1866693.

Vettori, D and Marjoribanks, TI (2021) Temporal Variability and Within‐Plant Heterogeneity in Blade Biomechanics Regulate Flow‐Seagrass Interactions of Zostera marina, Water Resources Research, 57(3), ISSN: 0043-1397. DOI: 10.1029/2020wr027747.

Kelder, T, Müller, M, Slater, LJ, Marjoribanks, TI, Wilby, RL, Prudhomme, C, Bohlinger, P, Ferranti, L, Nipen, T (2020) Using UNSEEN trends to detect decadal changes in 100-year precipitation extremes, npj Climate and Atmospheric Science, 3(1), 47, DOI: 10.1038/s41612-020-00149-4.

Marjoribanks, TI, Lague, D, Hardy, RJ, Boothroyd, RJ, Leroux, J, Mony, C, Puijalon, S (2019) Flexural Rigidity and Shoot Reconfiguration Determine Wake Length Behind Saltmarsh Vegetation Patches, Journal of Geophysical Research: Earth Surface, 124(8), pp.2176-2196, ISSN: 2169-9003. DOI: 10.1029/2019JF005012.

Boothroyd, RJ, Hardy, RJ, Warburton, J, Marjoribanks, T (2019) The importance of riparian plant orientation in river flow: implications for flow structures and drag, Journal of Ecohydraulics, ISSN: 2470-5357. DOI: 10.1080/24705357.2019.1573648.

Marjoribanks, TI, Hardy, RJ, Lane, SN, Tancock, MJ (2017) Patch‐scale representation of vegetation within hydraulic models, Earth Surface Processes and Landforms, 42(5), pp.699-710, ISSN: 0197-9337. DOI: 10.1002/esp.4015.

Marjoribanks, TI, Hardy, RJ, Lane, SN, Parsons, DR (2017) Does the canopy mixing layer model apply to highly flexible aquatic vegetation? Insights from numerical modelling, Environmental Fluid Mechanics, 17(2), pp.277-301, ISSN: 1573-1510. DOI: 10.1007/s10652-016-9482-z.

Boothroyd, RJ, Hardy, RJ, Warburton, J, Marjoribanks, TI (2017) Modeling complex flow structures and drag around a submerged plant of varied posture, Water Resources Research, 53(4), pp.2877-2901, ISSN: 0043-1397. DOI: 10.1002/2016wr020186.

Hardy, RJ, Best, JL, Parsons, DR, Marjoribanks, TI (2016) On the evolution and form of coherent flow structures over a gravel bed: Insights from whole flow field visualization and measurement, Journal of Geophysical Research: Earth Surface, 121(8), pp.1472-1493, ISSN: 2169-9003. DOI: 10.1002/2015jf003753.

Boothroyd, RJ, Hardy, RJ, Warburton, J, Marjoribanks, TI (2016) The importance of accurately representing submerged vegetation morphology in the numerical prediction of complex river flow, Earth Surface Processes and Landforms, 41(4), pp.567-576, ISSN: 0197-9337. DOI: 10.1002/esp.3871.

Marjoribanks, TI, Hardy, RJ, Parsons, DR (2015) On validating predictions of plant motion in coupled biomechanical-flow models, Journal of Hydraulic Research, 53(6), pp.808-813, ISSN: 0022-1686. DOI: 10.1080/00221686.2015.1110627.

Marjoribanks, TI, Hardy, RJ, Lane, SN, Parsons, DR (2014) High-resolution numerical modelling of flow—vegetation interactions, Journal of Hydraulic Research, 52(6), pp.775-793, ISSN: 0022-1686. DOI: 10.1080/00221686.2014.948502.

Marjoribanks, TI, Hardy, RJ, Lane, SN (2014) The hydraulic description of vegetated river channels: the weaknesses of existing formulations and emerging alternatives, WIREs Water, 1(6), pp.549-560, ISSN: 2049-1948. DOI: 10.1002/wat2.1044.

Conferences

Marjoribanks, TI (2023) Numerical Modelling of Flow-Vegetation Interactions in Rivers and Coastal Environments: Recent Trends and Future Research Directions. In , Lecture Notes in Civil Engineering, pp.81-93, DOI: 10.1007/978-981-99-4423-1_6.

Boothroyd, RJ, Hardy, RJ, Warburton, J, Marjoribanks, TI, Webb, JA, Costelloe, JF, CasasMulet, R, Lyon, JP, Stewardson, MJ (2016) MODELLING VEGETATION-FLOW INTERACTIONS: THE IMPORTANCE OF ACCURATELY REPRESENTING PLANT MORPHOLOGY. In , 11TH INTERNATIONAL SYMPOSIUM ON ECOHYDRAULICS.

Hardy, RJ, Marjoribanks, TI, Parsons, DR, Reesink, AJ, Murphy, B, Ashworth, PJ, Best, JL (2014) Modelling time dependent flow fields over three dimensional dunes. In , Proceedings of the International Conference on Fluvial Hydraulics, RIVER FLOW 2014, pp.1045-1052, DOI: 10.1201/b17133-141.

Marjoribanks, TI, Hardy, RJ, Lane, SN, Parsons, DR (2014) Dynamic drag modeling of submerged aquatic vegetation canopy flows. In , Proceedings of the International Conference on Fluvial Hydraulics, RIVER FLOW 2014, pp.517-524, DOI: 10.1201/b17133-73.

Marjoribanks, TI, Hardy, RJ, Lane, SN, Parsons, DR (2014) Extending the canopy flow model for natural, highly flexible macrophyte canopies. In , Proceedings of the International Conference on Fluvial Hydraulics, RIVER FLOW 2014, pp.509-516, DOI: 10.1201/b17133-72.

Chapters

Saha, B, Saikia, D, Sabhapandt, A, Marjoribanks, T, Bosher, L, Mukherjee, M, Edupuganti, SR, Kumar, A (2024) Community education and engagement for Blue-Green Infrastructure (BGI) projects: Insights from Assam, India. In Yildiz, A and Shaw, R (ed) Disaster and Climate Risk Education: Insights from Knowledge to Action, Springer,ISBN: 9789819759866.

Hardy, RJ, Best, JL, Marjoribanks, TI, Parsons, DR, Rosser, NJ (2013) Detection and Analysis of Coherent Flow Structures in a Depth‐Limited Flow Over a Gravel Surface. In Unknown Parent Title, Wiley, pp.199-214, ISBN: 9781119962779. DOI: 10.1002/9781118527221.ch13.

Datasets

Marjoribanks, T (2022) Supplementary information files for An open workflow to gain insights about low-likelihood high-impact weather events from initialized predictions, DOI: 10.17028/rd.lboro.20300814.

Marjoribanks, T and Paul, M (2021) Data and Code from Modelling flow-induced reconfiguration of variable rigidity aquatic vegetation, DOI: 10.17028/rd.lboro.12077814.

Marjoribanks, T, Lague, D, Hardy, R, Boothroyd, R, Leroux, J, Mony, C, Puijalon, S (2019) Saltmarsh flow and vegetation data, DOI: 10.17028/rd.lboro.7588934.

Other

Kelder, T, Marjoribanks, T, Slater, L, Prudhomme, C, Wilby, R, Wagemann, J, Dunstone, N (2021) An open workflow for the study of unseen weather extremes, Ensemble members from weather and climate predictions can be used to generate large samples of simulated weather events, allowing the estimation of extreme (hitherto unseen) events. Here, we provide a protocol and open workflow for applying the ‘UNSEEN’ method for hydro-climatic extremes globally, based on Copernicus Climate Change Services (C3S) seasonal predictions but also considering other compatible modelling systems. We discuss common challenges and potential solutions using three examples of extreme events that caused severe damage in 2020 (extreme rainfall, heat, and wildfire danger). These case studies demonstrate the potential of the method to inform decision-making with maximum credible events used for stress-testing adaptation measures and to anticipate unprecedented extremes in a changing climate. As such, this paper may be used to guide the generation of large ensembles that are a credible resource for evaluating otherwise unforeseen hydro-climatic risks.. DOI: 10.31223/x5t04c.