| Modeling compound flooding in coastal systems using a computationally efficient reduced-physics solver: Including fluvial, pluvial, tidal, wind-and wave-driven processes T Leijnse, M van Ormondt, K Nederhoff, A van Dongeren Coastal Engineering 163, 103796, 2020 | 64 | 2020 |
| Hindcast of pluvial, fluvial, and coastal flood damage in Houston, Texas during Hurricane Harvey (2017) using SFINCS A Sebastian, DJ Bader, CM Nederhoff, TWB Leijnse, JD Bricker, ... Natural hazards 109, 2343-2362, 2021 | 29 | 2021 |
| Simulating Synthetic Tropical Cyclone Tracks for Statistically Reliable Wind and Pressure Estimations K Nederhoff, J Hoek, T Leijnse, M van Ormondt, S Caires, A Giardino Natural Hazards and Earth System Sciences Discussions, 1-30, 2021 | 25 | 2021 |
| A globally applicable framework for compound flood hazard modeling D Eilander, A Couasnon, T Leijnse, H Ikeuchi, D Yamazaki, S Muis, ... Natural hazards and earth system sciences 23 (2), 823-846, 2023 | 23 | 2023 |
| Generating reliable estimates of tropical cyclone induced coastal hazards along the Bay of Bengal for current and future climates using synthetic tracks TWB Leijnse, A Giardino, K Nederhoff, S Caires Natural Hazards and Earth System Sciences Discussions 2021, 1-40, 2021 | 18 | 2021 |
| Estimating tropical cyclone-induced wind, waves, and surge: A general methodology based on representative tracks TM Bakker, JAA Antolínez, TWB Leijnse, SG Pearson, A Giardino Coastal Engineering 176, 104154, 2022 | 13 | 2022 |
| A globally-applicable framework for compound flood hazard modeling D Eilander, A Couasnon, T Leijnse, H Ikeuchi, D Yamazaki, S Muis, ... EGUsphere 2022, 1-40, 2022 | 12 | 2022 |
| Improving computational efficiency of compound flooding simulations: The SFINCS model with subgrid features T Leijnse, K Nederhoff, A Van Dongeren, RT McCall, M Van Ormondt AGU Fall Meeting Abstracts 2020, NH022-0006, 2020 | 7 | 2020 |
| Rapid Assessment of Tsunami Offshore Propagation and Inundation with D-FLOW Flexible Mesh and SFINCS for the 2011 Tōhoku Tsunami in Japan BR Röbke, T Leijnse, G Winter, M van Ormondt, J van Nieuwkoop, ... Journal of Marine Science and Engineering 9 (5), 453, 2021 | 6 | 2021 |
| Multilevel multifidelity Monte Carlo methods for assessing uncertainty in coastal flooding MCA Clare, TWB Leijnse, RT McCall, FLM Diermanse, CJ Cotter, ... Natural Hazards and Earth System Sciences 22 (8), 2491-2515, 2022 | 4 | 2022 |
| A globally-applicable framework for compound flood hazard modeling, EGUsphere D Eilander, A Couasnon, T Leijnse, H Ikeuchi, D Yamazaki, S Muis, ... | 4 | 2022 |
| Computationally Efficient Modelling of Compound Flooding due to Tropical Cyclones with the Explicit Inclusion of Wave-Driven Processes: Research into the required processes and … T Leijnse | 3 | 2018 |
| Rapid modeling of compound flooding across broad coastal regions and the necessity to include rainfall driven processes: A case study of Hurricane Florence (2018) T Leijnse, K Nederhoff, J THOMAS, KAI PARKER, M van Ormondt, ... Coastal Sediments 2023: The Proceedings of the Coastal Sediments 2023, 2576-2584, 2023 | 2 | 2023 |
| Multilevel multifidelity Monte Carlo methods for assessing coastal flood risk MCA Clare, TWB Leijnse, RT McCall, FLM Diermanse, CJ Cotter, ... Natural Hazards and Earth System Sciences Discussions 2022, 1-36, 2022 | 2 | 2022 |
| Developing large scale and fast compound flood models for Australian coastlines T Leijnse, R de Goede, M van Ormondt, M Lemans, M Hegnauer, ... Coastal Engineering Proceedings, 49-49, 2022 | 2 | 2022 |
| Tropical or extratropical cyclones: what drives the compound flood hazard, impact, and risk for the United States Southeast Atlantic coast? K Nederhoff, TWB Leijnse, K Parker, J Thomas, A O’Neill, M van Ormondt, ... Natural Hazards, 1-47, 2024 | 1 | 2024 |
| Accounting for uncertainties in forecasting tropical-cyclone-induced compound flooding K Nederhoff, M van Ormondt, J Veeramony, A van Dongeren, ... Geoscientific Model Development 17 (4), 1789-1811, 2024 | 1 | 2024 |
| Dynamic modeling of coastal compound flooding hazards due to tides, extratropical storms, waves, and sea-level rise: a case study in the Salish Sea, Washington (USA) K Nederhoff, SC Crosby, NR Van Arendonk, EE Grossman, B Tehranirad, ... Water 16 (2), 346, 2024 | 1 | 2024 |
| Integrated modelling of coastal landforms B van Westen, T Leijnse, M de Schipper, N Cohn, A Luijendijk Coastal Sediments 2023: The Proceedings of the Coastal Sediments 2023, 760-771, 2023 | 1 | 2023 |
| Developing a real-time data and modelling framework for operational flood inundation forecasting in Australia S De Kleermaeker, T Leijnse, Y Morales, C Druery, S Maguire Hydrology & Water Resources Symposium 2022 (HWRS 2022): The Past, the …, 2022 | 1 | 2022 |
