Insurers and civil authorities are required to evaluate and manage flood risk at various spatial and temporal scales and the WRN flood programme is unique in envisaging an integrated modelling continuum from local to global analysis incorporating hazard, exposure, vulnerability and loss. Only the breadth of WRN membership and integration around shared platforms and processes has enabled this comprehensive response to flood risk.
The WRN has developed mapping and analysis tools to provide comprehensive and consistent analysis of global flood risk for portfolios and populations. Using state-of-the-art analysis methods and collaborating with wider global flood modelling efforts across science enables the WRN to develop scale-appropriate assessments of hazard and risk. The trade-off for comprehensive global coverage is coarseness of spatial resolutions, but the WRN modelling platform will evolve as further data and research become available enhancing these capabilities.
The traditional scale of flood risk modelling for insurance companies has been at national and regional scales, corresponding with national insurance markets, data availability and existing platform capabilities. The WRN has an extensive regional flood risk modelling programme to meet current industry requirements, confronting new challenges such as supply chain risk and informing the WRN's global flood modelling programme
Flood risk exposures are concentrated in major cities worldwide, many within exposed coastal and riverine locations. The WRN has pioneered the development of a range of techniques to provide insurers and urban authorities with flood models, mapping and decision support tools to manage flood risk at a city level. These models also inform the WRN's regional and global modelling programme.
The WRN has pioneered the use of forecasting, satellite imagery and other remote sensing techniques to help communities and insurers prepare for and manage the consequences of flood events. New satellite platforms and services in development with WRN partners offer significant advances in pre-, during- and post-event flood risk management.
Improved flood risk modelling across spatial and temporal scales depends upon advances in science, data, computation and visualisation. The strength of the WRN flood programme is driven by member institutions' commitment to fundamental research to gain greater understanding of pluvial, riverine, storm surge and groundwater hazard and how they combine with landscape and exposure to create flood risk and losses. This work underpins the Network's tools and risk management solutions.
Date: Mar 01, 2013 | Type: Paper |
Journal: Physica A | Ext. Link: Click Here ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Francesco Serinaldi, Chris G. Kilsby
Fields:
Summary: The Allan factor (AF) is a statistic widely used to assess if the rate of occurrences of an event tends to cluster and show persistence in a range of space and/or time scales. This study investigates the sampling distribution function of the AF estimator when the underlying process is homogeneous Poissonian.
Date: Nov 30, 2012 | Type: Article | Attachment: Download File ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Erwann Michel-Kerjan & Carolyn Kousky
Fields:
Summary: Flood Insurance Coverage in New York and New Jersey
Date: Oct 04, 2012 | Type: Article | Attachment: Download File ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Jeffrey Czajkowski & Vaughn Jensen
Fields:
Summary: Assessing the Feasibility of U.S. Private Market Flood Insurance - a study by WRN partner Wharton Risk Management and Decision Processes Center.
Date: Sep 25, 2012 | Type: Article |
Journal: Journal of Hydrology | Ext. Link: Click Here ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Francesco Serinaldi, Chris G. Kilsby
Fields: Flood
Summary: This study introduces a class of stochastic multisite monthly rainfall generators devised for application in water resources management problems, such as the sensitivity analysis of droughts and extreme rainfall scenarios under external climatic and non climatic forcing mechanisms.
Date: Aug 01, 2012 | Type: Paper | Attachment: Download File ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Liew, S.C., Liong, S.Y., and Raghavan, S.
Fields: Flood
Summary: The aims of the present study are twofold. First, the study proposes an approach in the development of IDF curves for places where short or no station data are available. Secondly, similar analyses for the future IDF curves are presented from a regional climate model (RCM) which downscales a general circulation model - ECHAM5 under the Intergovernmental Panel on Climate Change A2 emission scenario
Date: Aug 01, 2012 | Type: Paper |
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Mason, D.C., Davenport, I.J., Neal, J.C., Schumann, G.J.-P., and Bates, P.D.
Fields: Flood
Summary: The use of remote sensing data has allowed a significant breakthrough to be made in flood inundation modelling. This paper examines how far we have now come in our ability to use the improvements in available data to integrate into flood models.
Date: Aug 01, 2012 | Type: Paper |
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Mason, D.C., Davenport, I.J., Neal, J.C., Schumann, G.J.-P., and Bates, P.D.
Fields: Flood
Summary: A near real-time flood detection algorithm giving a synoptic overview of the extent of flooding in both urban and rural areas, and capable of working during night-time and day-time even if cloud was present, could be a useful tool for operational flood relief management. The paper describes an automatic algorithm using high-resolution synthetic aperture radar (SAR) satellite data that builds on existing approaches, including the use of image segmentation techniques prior to object classification to cope with the very large number of pixels in these scenes.
Date: Aug 01, 2012 | Type: Paper |
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Mason, D.C., Davenport, I.J., Neal, J.C., Schumann, G.J.-P., and Bates, P.D.
Fields: Flood
Summary: Two-dimensional flood inundation models are widely used tools for flood hazard mapping and an essential component of statutory flood risk management guidelines in many countries. Yet, we still do not know how much physical complexity a flood inundation model needs for a given problem...
Date: Jul 02, 2012 | Type: Paper | Attachment: Download File ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Doan, C. D., Dao, A. T, Liong, S. Y., Sanders, R., Liu, J., and Fewtrell, T.
Fields: Flood
Summary: In river modeling, it is very important to obtain river system geometric data such as river course and river cross sections. It is relatively not difficult to acquire these data of high quality in developed countries. However, for developing countries, it is often quite a challenge. Alternative sources of data, therefore, need to be explored so that the river modeling can still be developed with reasonable accuracy.
Date: Jul 02, 2012 | Type: Paper | Attachment: Download File ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Liew, S. C, Raghavan, S. , Liong, S. Y, Sanders, R.
Fields: Flood
Summary: This study shows the development of future Intensity-Duration-Frequency IDF curves, for a site, resulting from a regional climate model (RCM) which downscales a general circulation model (GCM) of A2 emission scenario.
Date: Apr 25, 2012 |
Ext. Link: Click Here ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Tim Fewtrell - deleted P. Williams, M. Huddelston, G. Michel, S. Thompson, K. Heynert, C. Pickering, I. Abbott Donnelly, T. Fewtrell, H. Galy, F. Sperna Weiland, H. Winsemius, A. Weerts, S. Nixon, P. Davies, and D. Schiferli
Fields:
Summary: A Global Flood Model (GFM) initiative has been proposed by Willis, Esri, Deltares and IBM...
Date: Apr 19, 2011 |
Journal: International Journal of Climatology | Ext. Link: Click Here ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Gabriele Villarini, James A. Smith, Francesco Serinaldi, Alexandros A. Ntelekos, Ulrich Schwarz
Fields:
Summary: Analyses of extreme flooding in Austria is performed using daily discharge time series from 27 stations over the period 1951-2006. The main research questions revolve around: (1) temporal non-stationarities in the flood record, (2) upper tail and scaling properties of the flood peak records, and (3) relation between magnitude and frequency of flooding and the North Atlantic Oscillation (NAO).
Date: Dec 01, 2010 | Type: Paper |
Ext. Link: Click Here ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Ezio Todini
and Mario Martina. Z. Liu
Fields: Flood - Modelling
Summary:
Date: Nov 02, 2010 | Type: Paper |
Ext. Link: Click Here ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Burton, A., H. J. Fowler, C. G. Kilsby, and P. E. O’Connell (2010)
Fields: Flood - Rainfall Modelling
Summary: The nonhomogeneous spatial activation of raincells (NSAR) model is presented which provides a continuous spatial‐temporal stochastic simulation of rainfall exhibiting spatial nonstationarity in both amounts and occurrence.
Date: Jun 01, 2010 | Type: Paper |
Ext. Link: Click Here ›
Pillar: Man-made & Liability Risks
Hub: Flood
Authors: M. S. Horritt, P. D. Bates, T. J. Fewtrell, D. C. Mason, M. D. Wilson
Fields: Flood - UK Flood Modelling Techniques
Summary: The performance of a two-dimensional numerical model of flood hydraulics is tested for a major event in Carlisle, UK, in 2005. This event is associated with a unique data set, with global positioning system surveyed wrack lines and flood extent surveyed 3 weeks after the flood.
Date: May 18, 2010 | Type: Paper |
Ext. Link: Click Here ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Paul Bates G. Schumann, G. Di Baldassarre, D. Alsdorf.
Fields: Flood - Remote Sensing
Summary: This paper investigates the potential of low‐cost spaceborne data to approximate longitudinal surface profiles during flood events on large rivers.
Date: Mar 23, 2010 | Type: Article |
Ext. Link: Click Here ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: H. J. Fowler and R. L. Wilby
Fields: Flood - Understanding Trends in Precipitation Extremes through Regionla Climate Modelling
Summary: There is growing evidence of coherent, global patterns of change in annual precipitation and runoff with high latitudes experiencing increases consistent with climate model projections. This paper describes a methodology for estimating detection times for changes in seasonal precipitation extremes.
Date: Mar 02, 2010 | Type: Paper | Attachment: Download File ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Paul D. Bates, Matthew S. Horritt, Timothy J. Fewtrell
Fields: Flood
Summary: This paper describes the development of a new set of equations derived from 1D shallow water theory for use in 2D storage cell inundation models where flows in the x and y Cartesian directions are decoupled. The new equations are likely to find widespread application in many types of flood inundation modelling and should provide a useful additional tool, alongside more established model formulations, for a variety of flood risk management studies
Date: Mar 01, 2010 | Type: Paper |
Ext. Link: Click Here ›
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Mario Martina Jo De Waele, Mario L.V. Martina, Laura Sanna, Salvatore Cabras, Q. Antonio Cossu
Fields: Flood
Summary:
Date: Nov 29, 2009 | Type: Article |
Pillar: Natural Hazard & Risk
Hub: Flood
Authors: Luciana Cunha James A. Smith, Mary Lynn Baeck, Paula Sturdevant-Rees and Witold F. Krajewski
Fields: Hydrological
Summary: In this study, we use observations from two WSR-88D (Weather Surveillance Radar-1988 Doppler) weather radars, a dense network of rain gages, and a network of stream gages to examine: (1) spacetime variability of extreme flood-producing rainfall, (2) radar rainfall estimation for extreme rain events, and (3) heterogeneous flood response to extreme rainfall in urban drainage basins.