Dependence between high sea-level and high river discharge increases flood hazard in global deltas and estuaries PJ Ward, A Couasnon, D Eilander, ID Haigh, A Hendry, S Muis, ... Environmental Research Letters 13 (8), 084012, 2018 | 222 | 2018 |
Combined modeling of US fluvial, pluvial, and coastal flood hazard under current and future climates PD Bates, N Quinn, C Sampson, A Smith, O Wing, J Sosa, J Savage, ... Water Resources Research 57 (2), e2020WR028673, 2021 | 210 | 2021 |
Why we can no longer ignore consecutive disasters MC de Ruiter, A Couasnon, MJC van den Homberg, JE Daniell, JC Gill, ... Earth's Future 8 (3), e2019EF001425, 2020 | 208 | 2020 |
The challenge of unprecedented floods and droughts in risk management H Kreibich, AF Van Loon, K Schröter, PJ Ward, M Mazzoleni, N Sairam, ... Nature, 1-7, 2022 | 196 | 2022 |
Measuring compound flood potential from river discharge and storm surge extremes at the global scale A Couasnon, D Eilander, S Muis, TIE Veldkamp, ID Haigh, T Wahl, ... Natural Hazards and Earth System Sciences 20 (2), 489-504, 2020 | 196 | 2020 |
Measuring compound flood potential from river discharge and storm surge extremes at the global scale A Couasnon, D Eilander, S Muis, TIE Veldkamp, ID Haigh, T Wahl, ... Natural Hazards and Earth System Sciences 20 (2), 489-504, 2020 | 196 | 2020 |
A Copula-Based Bayesian Network for Modeling Compound Flood Hazard from Riverine and Coastal Interactions at the Catchment Scale: An Application to the Houston Ship Channel, Texas A Couasnon, A Sebastian, O Morales-Nápoles Water 10 (9), 1190, 2018 | 102 | 2018 |
The effect of surge on riverine flood hazard and impact in deltas globally D Eilander, A Couasnon, H Ikeuchi, S Muis, D Yamazaki, HC Winsemius, ... Environmental Research Letters 15 (10), 104007, 2020 | 87 | 2020 |
Guidelines for studying diverse types of compound weather and climate events E Bevacqua, C De Michele, C Manning, A Couasnon, AFS Ribeiro, ... Earth's Future 9 (11), e2021EF002340, 2021 | 86 | 2021 |
Accounting for tropical cyclones more than doubles the global population exposed to low-probability coastal flooding JCM Dullaart, S Muis, N Bloemendaal, MV Chertova, A Couasnon, ... Communications Earth & Environment 2 (1), 1-11, 2021 | 56 | 2021 |
Invited perspectives: A research agenda towards disaster risk management pathways in multi-(hazard-) risk assessment PJ Ward, J Daniell, M Duncan, A Dunne, C Hananel, S Hochrainer-Stigler, ... Natural Hazards and Earth System Science 22 (4), 1487-1497, 2022 | 53 | 2022 |
Invited perspectives: A research agenda towards disaster risk management pathways in multi-(hazard-) risk assessment PJ Ward, J Daniell, M Duncan, A Dunne, C Hananel, S Hochrainer-Stigler, ... Natural Hazards and Earth System Sciences 22 (4), 1487-1497, 2022 | 51 | 2022 |
Exploring deep learning capabilities for surge predictions in coastal areas T Tiggeloven, A Couasnon, C van Straaten, S Muis, PJ Ward Scientific reports 11 (1), 1-15, 2021 | 41 | 2021 |
Why we can no longer ignore consecutive disasters, Earths Future, 8, e2019EF001425 MC De Ruiter, A Couasnon, MJC Van den Homberg, JE Daniell, JC Gill, ... | 35 | 2020 |
A framework for comparing permanent and forecast-based flood risk-reduction strategies K Bischiniotis, H de Moel, M van den Homberg, A Couasnon, J Aerts, ... Science of the total environment 720, 137572, 2020 | 27 | 2020 |
A Flood Risk Framework Capturing the Seasonality of and Dependence Between Rainfall and Sea Levels—An Application to Ho Chi Minh City, Vietnam A Couasnon, P Scussolini, TVT Tran, D Eilander, S Muis, H Wang, ... Water Resources Research 58 (2), e2021WR030002, 2022 | 17 | 2022 |
A globally-applicable framework for compound flood hazard modeling D Eilander, A Couasnon, T Leijnse, H Ikeuchi, D Yamazaki, S Muis, ... EGUsphere, 1-40, 2022 | 12 | 2022 |
Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning–a case study of the 2019 … L Wouters, A Couasnon, MC de Ruiter, MJC van den Homberg, ... Natural Hazards and Earth System Sciences 21 (10), 3199-3218, 2021 | 12 | 2021 |
Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts H Kreibich, K Schröter, G Di Baldassarre, A Van Loon, M Mazzoleni, ... GFZ Data Services, 2022 | 6 | 2022 |
Towards improving a national flood early warning system with global ensemble flood predictions and local knowledge; a case study on the Lower Shire Valley in Malawi. T Teule, A Couasnon, K Bischiniotis, J Blasch, M van den Homberg EGU General Assembly Conference Abstracts, 507, 2020 | 4* | 2020 |