A5044909386- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Cryospheric studies and observations
- Climate change and permafrost
- Hydrological Forecasting Using AI
- Peatlands and Wetlands Ecology
- Climate variability and models
University of Bern
2013-2019
Oeschger Centre for Climate Change Research
2016-2019
Zurich Insurance Group (Switzerland)
2019
Abstract. The assessment of the impacts extreme floods is important for dealing with residual risk, particularly critical infrastructure management and insurance purposes. Thus, modelling probable maximum flood (PMF) from precipitation (PMP) by coupling hydrological hydraulic models has gained interest in recent years. Herein, we examine whether variability patterns exceeds or below selected uncertainty factors loss estimation if losses within a river basin are related to discharge at...
Abstract While many studies have been conducted in mountainous catchments to examine the impact of climate change on hydrology, interactions between changes and land use components largely unknown impacts hydrology alpine regions. They need be given special attention order devise possible strategies concerning general development these Thus, main aim was (i.e. bushland expansion) increase temperature) by model simulations. For this purpose, physically based WaSiM‐ETH applied catchment Ursern...
There is a lack of suitable methods for creating precipitation scenarios that can be used to realistically estimate peak discharges with very low probabilities. On the one hand, existing are methodically questionable when it comes physical system boundaries. other spatio-temporal representativeness patterns as input limited. In response, this paper proposes method deriving and presents step towards making correct estimations infrequent floods by using worst-case approach. A Monte Carlo...
Probable maximum flood (PMF) event estimation has challenged the scientific community for many years. Although concept of PMF is often applied, there no consensus on methods that should be applied to estimate it. In estimation, spatio-temporal representation probable precipitation (PMP) as well choice modelling approach not theoretically founded. Moreover, it clear how these choices influence itself. this study, combinations three different PMP representations and approaches are determine a...
Estimations of low-probability flood events are frequently used to plan infrastructure and determine the dimensions protection measures. Several well-established methods exist for estimating floods. However, a global assessment consistency these is difficult achieve because “true value” an extreme not observable. A detailed comparison performed on given case study brings useful information about statistical hydrological processes involved in different methods. In present study, following...
Abstract. The assessment of the impacts extreme floods is important for dealing with residual risk, particularly critical infrastructure management and insurance purposes. Thus, modelling probable maximum flood (PMF) from precipitation (PMP) by coupling hydrologic hydraulic models has gained interest in recent years. Herein, we examine whether variability patterns exceeds or below other uncertainties loss estimation if losses within a river basin are related to discharge at outlet. We...
The triggering mechanism and the temporal evolution of large flood events, especially worst-case scenarios, are not yet fully understood. Consequently, cumulative losses extreme floods unknown. To study link between weather conditions, discharges it is necessary to couple atmospheric, hydrological, hydrodynamic damage models. objective M-AARE project test potentials opportunities a model chain that relates atmospheric conditions or risks. set coupled models consisting four main components:...