The potential of knowing more: A review of data-driven urban water management S Eggimann, L Mutzner, O Wani, MY Schneider, D Spuhler, ... Environmental science & technology 51 (5), 2538-2553, 2017 | 277 | 2017 |
Smart urban water systems: what could possibly go wrong? M Moy de Vitry, MY Schneider, OF Wani, L Manny, JP Leitão, S Eggimann Environmental Research Letters 14 (8), 081001, 2019 | 50 | 2019 |
Parameter estimation of hydrologic models using a likelihood function for censored and binary observations O Wani, A Scheidegger, JP Carbajal, J Rieckermann, F Blumensaat Water Research, 2017 | 46 | 2017 |
Comparing approaches to deal with non‐gaussianity of rainfall data in kriging‐based radar‐gauge rainfall merging F Cecinati, O Wani, MA Rico‐Ramirez Water Resources Research 53 (11), 8999-9018, 2017 | 42 | 2017 |
Residual uncertainty estimation using instance-based learning with applications to hydrologic forecasting O Wani, JVL Beckers, AH Weerts, DP Solomatine Hydrology and Earth System Sciences 21 (8), 4021, 2017 | 40 | 2017 |
Using a simple post-processor to predict residual uncertainty for multiple hydrological model outputs LB Ehlers, O Wani, J Koch, TO Sonnenborg, JC Refsgaard Advances in Water Resources 129, 16-30, 2019 | 15 | 2019 |
Probabilistic SAR-based water segmentation with adapted Bayesian convolutional neural network V Hertel, C Chow, O Wani, M Wieland, S Martinis Remote Sensing of Environment 285, 113388, 2023 | 12 | 2023 |
Exploring a copula-based alternative to additive error models—for non-negative and autocorrelated time series in hydrology O Wani, A Scheidegger, F Cecinati, G Espadas, J Rieckermann Journal of hydrology 575, 1031-1040, 2019 | 12 | 2019 |
Accounting for variation in rainfall intensity and surface slope in wash-off model calibration and prediction within the Bayesian framework M Muthusamy, O Wani, A Schellart, S Tait Water research 143, 561-569, 2018 | 9 | 2018 |
Is flow control in a space-constrained drainage network effective? A performance assessment for combined sewer overflow reduction W Wang, JP Leitão, O Wani Environmental Research 202, 111688, 2021 | 3 | 2021 |
A theory of stochastic fluvial landscape evolution GG Roberts, O Wani Proceedings of the Royal Society A 480 (2283), 20230456, 2024 | 2 | 2024 |
Does distributed monitoring improve the calibration of urban drainage models? O Wani, M Maurer, J Rieckermann, F Blumensaat International Urban Drainage Modeling Conference, 2022, Costa Mesa, USA, 2021 | 2 | 2021 |
Impact of different sources of precipitation data on urban rainfall-runoff predictions: A comparison of rain gauges, commercial microwave links and radar A Disch, A Scheidegger, OF Wani, J Rieckermann Rainfall Monitoring, Modelling and Forecasting in Urban Environment …, 2019 | 2 | 2019 |
Parameter estimation of urban drainage models using binary observations from low-cost sensors O Wani, F Blumensaat, A Scheidegger, T Doppler, J Rieckermann URBAN DRAINAGE MODELLING, 5, 2015 | 2 | 2015 |
Generating risk maps for river migration using probabilistic modeling O Wani, B Noh, K Dunne, M Lamb EGU General Assembly Conference Abstracts, EGU-17240, 2023 | 1 | 2023 |
A physics-informed machine learning model for streamflow prediction L Zhang, DG Bellugi, S Li, A Kamat, J Kadi, E Moges, G Gorski, O Wani, ... AGU Fall Meeting Abstracts 2022, H31E-01, 2022 | 1 | 2022 |
Evaluation and correction of uncertainty due to Gaussian approximation in radar-rain gauge merging using kriging with external drift F Cecinati, O Wani, MA Rico-Ramirez AGU Fall Meeting Abstracts 2016, H11G-06, 2016 | 1 | 2016 |
Implications of risk perception on flood management and warning: 2014 Kashmir floods as a case study R Ghani | 1 | 2015 |
Geomorphic risk maps for river migration using probabilistic modeling–a framework B Noh, O Wani, KBJ Dunne, MP Lamb Earth Surface Dynamics 12 (3), 691-708, 2024 | | 2024 |
Geomorphic risk maps for river migration using probabilistic modeling–a framework B Noh, O Wani, KBJ Dunne, MP Lamb EGUsphere 2023, 1-29, 2023 | | 2023 |