Accurate and timely flood forecasts are essential for effective management of flood disasters, which has become increasingly frequent over the last decade. Obtaining such forecasts requires high resolution integrated weather and flood models with computational costs optimized to provide sufficient lead time. Existing overland flood modeling software packages do not readily scale to topography g...

Provision of early flood warning is an important strategy in reducing flood damage and loss of life. To increase warning lead-time and mitigate impacts more efficiently, flood forecasting systems are increasingly becoming an essential step in the warning process. Development of these has traditionally been initiated by local authorities, and often these systems were no more than a dedicated use...

Flash floods are considered to be one the worst kind of hazard. They are characterized by their suddenness, rarity, small scale, heavy rain and peak discharge, unpredictable, fast and violent movement. It has severe effects on human society in the form life losses, damages to property, roads, communication and on natural settings. Advances in hydrology, meteorology, engineering, using of GIS an...

During the Special Observation Period (SOP, 7 September–15 November, 1999) of the Mesoscale Alpine Programme (MAP), the Canadian Mesoscale Compressible Community Model (MC2) was run in real time at a horizontal resolution of 3 km on a computational domain of 350×300×50 grid points, covering the whole of the Alpine region. The WATFLOOD model was passively coupled to the MC2; the former is an int...

This paper introduces the foundations of Bayesian probability theory and Bayesian decision method. The main goal of Bayesian decision theory is to minimize the expected loss of a decision or minimize the expected risk. The purposes of this study are to review the decision process on the issue of flood occurrences and to suggest possible process for decision improvement. This study examines the ...

Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Abstract Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Abstract This study further develops the method of quantile regression (QR) to predict exceedance probabilities of flood stages by post-processing forecasts. Using data from the 82 river gages, for which the National Weather Ser...