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Omar Wani
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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
1792017
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
312017
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
292017
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
272019
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
262017
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
82019
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
72019
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
32018
Parameter estimation of urban drainage models using binary observations from low-cost sensors
O Wani, F Blumensaat, A Scheidegger, T Doppler, J Rieckermann
10th International Urban Drainage Modelling Conference, 2015
22015
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
12016
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
2021
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
2021
Climate emergency: It is time to prepare for severe floods that will hit South Asia
O Wani
Down to Earth, Aug 2021, URL: https://tinyurl.com/35hteaur, 2021
2021
Voices of Eawag Researchers
J Hering, AS Narayan, F Balk, OF Wani, C Lüthi, JP Leitao, R Blackman
2020
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
2019
Statistical Methods for Better Hydrologic Predictions—Improving Parameter and Uncertainty Estimation
O Wani
ETH Zurich, 2018
2018
Towards a more robust sediment wash-off model
M Muthusamy, O Wani, A Schellart, S Tait
AGU Fall Meeting Abstracts 2017, H13A-1346, 2017
2017
Gaussian copula as a likelihood function for environmental models
O Wani, G Espadas, F Cecinati, J Rieckermann
AGU Fall Meeting Abstracts 2017, H23C-1670, 2017
2017
Implications of risk perception on flood management and warning: 2014 Kashmir floods as a case study
R Ghani
2015
Predictive uncertainty in streamflows: quantification using instance-based learning
O Wani
UNESCO-IHE, 2014
2014
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