Name
Title | ||
|---|---|---|
Distance-dependent depth-duration analysis in high-resolution hydro-meteorological ensemble forecasting: A case study in Malmö City, Sweden. |
Abstract | ||
|---|---|---|
Abstract In 2014, a cloudburst hit Malmo City and parts of the city were severely flooded. In this study, we assess the possibility to forecast this event by high-resolution ensemble rainfall-runoff modelling. Meteorological reforecasts are generated by the convection-permitting HarmonEPS model and the hydrological response is simulated by the HYPE model. Although the meteorological forecasts manage to reproduce the observed extreme rainfall intensities, due to location errors only a weak, low-probability signal of a high runoff in Malmo City is obtained in direct forecasts. To describe and visualize the spatial uncertainty of local rainfall extremes in forecasts, and construct hydrological model forcing representing “worst-case ensembles”, an approach called Distance-Dependent Depth-Duration in Forecasts (4DF) is proposed. In this approach, a depth-duration analysis is combined with a neighborhood approach to describe rainfall severity as a function of distance from the basin. The results demonstrated the applicability of the approach for improved situation awareness. |
Year | Venue | Field |
|---|---|---|
2017 | Environmental Modelling and Software | Meteorology,Ensemble forecasting,Situation awareness,Hydrology,Computer science,Surface runoff,Cloudburst,Forcing (mathematics),Climatology,Structural basin,Precipitation |
DocType | Volume | Citations |
Journal | 93 | 0 |
PageRank | References | Authors |
0.34 | 2 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonas Olsson | 1 | 0 | 0.34 |
| B. Charlotta Pers | 2 | 0 | 0.34 |
| Lisa Bengtsson | 3 | 0 | 0.34 |
| Ilias Pechlivanidis | 4 | 0 | 0.34 |
| Peter Berg | 5 | 0 | 0.34 |
| Heiner Körnich | 6 | 0 | 0.34 |