scispace - formally typeset
Journal ArticleDOI

Flash flood forecasting: What are the limits of predictability?

TLDR
In this paper, the authors review how flash floods are forecast considering the limitations and uncertainty involved in both the meteorological and hydrological aspects of forecasting systems, and propose ways of constraining flash flood forecasts as one way to improve forecast performance in the future.
Abstract
Flash floods may occur suddenly and be accompanied by other hazards such as landslides, mud flows, damage to infrastructure and even death. In the UK such events are comparatively rare occurring on average only once or twice per year. Warning systems must depend upon the accurate real-time provision of rainfall information, high-resolution numerical weather forecasts and the operation of hydrological model systems in addition to forecast delivery procedures not discussed in this paper. In this paper we review how flash floods are forecast considering the limitations and uncertainty involved in both the meteorological and hydrological aspects of forecasting systems. Data assimilation and the use of ensembles are both key elements across disciplines. Assessing the susceptibility of river catchments to extreme flooding is considered, and statistical methods of estimating the likelihood of extreme rainfall and floods within a changing climate are examined. Ways of constraining flash flood forecasts are noted as one way to improve forecast performance in the future. Copyright © 2007 Royal Meteorological Society

read more

Citations
More filters
Journal ArticleDOI

Landslides in a changing climate

TL;DR: A review of landslide-climate studies can be found in this paper, where the authors examine advantages and limits of the approaches adopted to evaluate the effects of climate variations on landslides, including prospective modelling and retrospective methods that use landslide and climate records.
Journal ArticleDOI

Characterisation of selected extreme flash floods in Europe and implications for flood risk management

TL;DR: In this paper, high-resolution data enabling identification and analysis of the hydrometeorological causative processes of flash floods have been collected and analyzed for 25 extreme flash floods (60 drainage basins, ranging in area from 9.5 to 1856 km 2 ) across Europe.
Journal ArticleDOI

Flood prediction using machine learning models: Literature review

TL;DR: In this paper, the state-of-the-art machine learning models for both long-term and short-term floods are evaluated and compared using a qualitative analysis of robustness, accuracy, effectiveness and speed.
Journal ArticleDOI

Flash flood warning based on rainfall thresholds and soil moisture conditions: An assessment for gauged and ungauged basins

TL;DR: In this article, the authors evaluate a threshold-based flash flood warning method, by considering a wide range of climatic and physiographic conditions, and by focusing on ungauged basins.
Journal ArticleDOI

Hydrogeomorphic response to extreme rainfall in headwater systems: Flash floods and debris flows

TL;DR: In this paper, the authors provide a review on current European and international research on early warning systems for flash floods and debris flows, identifying: (a) the state of the art; (b) knowledge gaps; and (c) suggested research directions to advance warning capabilities for extreme hydrogeomorphic processes.
References
More filters
Journal ArticleDOI

Decadal Trends in the North Atlantic Oscillation: Regional Temperatures and Precipitation

TL;DR: An evaluation of the atmospheric moisture budget reveals coherent large-scale changes since 1980 that are linked to recent dry conditions over southern Europe and the Mediterranean, whereas northern Europe and parts of Scandinavia have generally experienced wetter than normal conditions.

A physically based, variable contributing area model of basin hydrology

Mike Kirkby, +1 more
TL;DR: In this paper, a hydrological forecasting model is presented that attempts to combine the important distributed effects of channel network topology and dynamic contributing areas with the advantages of simple lumped parameter basin models.
Journal ArticleDOI

Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics

TL;DR: In this article, a new sequential data assimilation method is proposed based on Monte Carlo methods, a better alternative than solving the traditional and computationally extremely demanding approximate error covariance equation used in the extended Kalman filter.
Journal ArticleDOI

A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant

TL;DR: In this paper, a hydrological forecasting model is presented that combines the important distributed effects of channel network topology and dynamic contributing areas with the advantages of simple luminescence.
Journal ArticleDOI

The future of distributed models: model calibration and uncertainty prediction.

TL;DR: The GLUE procedure works with multiple sets of parameter values and allows that, within the limitations of a given model structure and errors in boundary conditions and field observations, different sets of values may be equally likely as simulators of a catchment.
Related Papers (5)