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Modeling Spatio-temporal Patterns of Storms Using Radar and Land Data                                                                                                                  

Project Member(s): Ball, J.

Start year: 2010

Summary: The proposed research is to model the historical trajectories of storms as an explanation in time for the accumulation of rainfall levels over a geographical area. The existing spatiotemporal approaches provide only for an interpolation of the data. The proposed approach introduces the idea of the construction of the likelihood function of the repartition of rain using historical radar and land storm data. The model will provide a mean to reproduce rainfall for simulation purposes in catchment modeling systems and environmental applications. The proposed research presents a major conceptual issue in Flood Hydrology.

FOR Codes: Natural Hazards in Fresh, Ground and Surface Water Environments, Water Resources Engineering, Meteorology, Surfacewater Hydrology, Atmosphere and Weather not elsewhere classified, Surface water hydrology, Water resources engineering , Air quality, atmosphere and weather, Natural hazards