| The effects of storm clustering on beach profile variability H Karunarathna, D Pender, R Ranasinghe, AD Short, DE Reeve Marine geology 348, 103-112, 2014 | 192 | 2014 |
| A statistical-process based approach for modelling beach profile variability D Pender, H Karunarathna Coastal Engineering 81, 19-29, 2013 | 128 | 2013 |
| Method for incorporating morphological sensitivity into flood inundation modeling D Pender, S Patidar, K Hassan, H Haynes Journal of Hydraulic Engineering 142 (6), 04016008, 2016 | 24 | 2016 |
| Stochastic simulation of daily streamflow sequences using a hidden Markov model D Pender, S Patidar, G Pender, H Haynes Hydrology Research 47 (1), 75-88, 2016 | 23 | 2016 |
| The temporal clustering of storm surge, wave height, and high sea level exceedances around the UK coastline LJ Jenkins, ID Haigh, P Camus, D Pender, J Sansom, R Lamb, H Kassem Natural Hazards 115 (2), 1761-1797, 2023 | 13 | 2023 |
| Gravel barrier beach morphodynamic response to extreme conditions K Ions, H Karunarathna, DE Reeve, D Pender Journal of Marine Science and Engineering 9 (2), 135, 2021 | 12 | 2021 |
| Applicability of a coastal morphodynamic model for fluvial environments L Beevers, I Popescu, Q Pan, D Pender Environmental modelling & software 80, 83-99, 2016 | 11 | 2016 |
| An evaluation of methods available for quantifying extreme beach erosion D Pender, DP Callaghan, H Karunarathna Journal of Ocean Engineering and Marine Energy 1 (1), 31-43, 2015 | 8 | 2015 |
| Incorporating river bed level changes into flood risk modelling D Pender, S Patidar, H Haynes Proceedings of the 36th IAHR World Congress, The Hague, The Netherlands 28, 2015 | 4 | 2015 |
| The influence of flood sequencing on the morphology and bed composition of the American River, California, USA D Pender, A Shvidchenko, H Haynes, G Pender Proc., 7th IAHR River Flow Conf, 2014 | 2 | 2014 |
| Modeling beach profile evolution–a statistical–process based approach D Pender, H Karunarathna Coastal Engineering Proceedings 1 (33), 13, 2012 | 2 | 2012 |
| Harnessing Satellite Data and Machine Learning for Near-Future Coastal Risk Predictions References FME Muir, MD Hurst, LA Naylor, D Tudor, D Pender Authorea Preprints, 2024 | | 2024 |
| Assessing the temporal clustering of coastal storm tide hazards under natural variability in a near 500-year model run LJ Jenkins, ID Haigh, H Kassem, D Pender, J Sansom, R Lamb, T Howard | | 2024 |
| Harnessing Satellite Data and Machine Learning for Near-Future Coastal Risk Predictions FME Muir, MD Hurst, LA Naylor, D Pender, D Tudor AGU24, 2024 | | 2024 |
| Geomorphic signatures of coastal change from multiple satellite-derived change indicators F Muir, M Hurst, L Richardson-Foulger, L Naylor, D Pender Authorea Preprints, 2024 | | 2024 |
| Geomorphic signatures of coastal change derived from multiple satellite-derived change indicators FME Muir, MD Hurst, L Richardson-Foulger, AF Rennie, LA Naylor, ... AGU Fall Meeting Abstracts 2023, EP42A-01, 2023 | | 2023 |
| The morphodynamic response of a gravel barrier to unimodal and bimodal storm wave conditions K Ions, K Ozdemir, D Pender, DE Reeve, H Karunarathna Frontiers in Marine Science 10, 1087771, 2023 | | 2023 |
| A model for stochastic simulation of daily streamflow S Patidar, K Hassan, H Haynes, G Pender, D Pender River Flow 2016: Eighth International Conference on Fluvial Hydraulics, 1910 …, 2016 | | 2016 |
| Impacts of sea level rise on the Great South Wall breakwater in Dublin Port, Ireland D Pender, H Karunarathna | | 2010 |
| The Use of Satellite Synthetic Aperture Radar (SAR) Data to Classify the Sediment Composition Along the Norfolk, UK, Coast S Mann, D Pender, A Novellino, E Hussain, S Grebby, PR Firpo, S Marsh AGU24, 0 | | |
sandhya patidarAssociate Professor in Statistical Modelling在 hw.ac.uk 的电子邮件经过验证
sandhya patidarAssociate Professor in Statistical Modelling在 hw.ac.uk 的电子邮件经过验证
Lindsay BeeversInstitute of Infrastructure and Environment, University of Edinburgh在 ed.ac.uk 的电子邮件经过验证