Université de Neuchâtel

Simulating Small-Scale Rainfall Fields Conditioned by Weather State and Elevation : A Data-Driven Approach Based on Rainfall Radar Images

Oriani, F ; Ohana-Levi, N ; Marra, F ; Straubhaar, J ; Mariethoz, Gregoire ; Renard, Philippe ; Karnieli, A ; Morin, E

In: Water Resources Research, 2017, vol. 53, p. 8512-8532

The quantification of spatial rainfall is critical for distributed hydrological modeling. Rainfall spatial patterns generated by similar weather conditions can be extremely diverse. This variability can have a significant impact on hydrological processes. Stochastic simulation allows generating multiple realizations of spatial rainfall or filling missing data. The simulated data can then be used...

Accès public à partir du 21 janv. 2020
Université de Neuchâtel

Missing data simulation inside flow rate time-series using multiple-point statistics

Oriani, F ; Borghi, A ; Straubhaar, J ; Mariethoz, Grégoire ; Renard, Philippe

In: Environmental Modelling & Software, 2016, vol. 86, p. 264-276

The direct sampling (DS) multiple-point statistical technique is proposed as a non-parametric missing data simulator for hydrological flow rate time-series. The algorithm makes use of the patterns contained inside a training data set to reproduce the complexity of the missing data. The proposed setup is tested in the reconstruction of a flow rate time-series while considering several missing data...