Archive for the ‘Uncategorized’ Category

Inundation Mapping Initiatives of the Iowa Flood Center: Statewide Coverage and Detailed Urban Flooding Analysis

The State of Iowa, located in the Midwestern United States, has experienced an increased frequency of large floods in recent decades. After extreme flooding in the summer of 2008, the Iowa Flood Center (IFC) was established for advanced research and education specifically related to floods. Gilles, D.G., N.C. Young, J.A. Piotrowski, H.S. Schroeder, and Y.J. Chang. “Inundation Mapping Initiatives of […]

A framework for flood risk assessment under nonstationary conditions or in the absence of historic data

We present a diagnostic framework to assess changes in flood risk across multiple scales in a river network, under nonstationary conditions or in the absence of historical hydro-meteorological data. The framework combines calibration-free hydrological and hydraulic models with urban development information to demonstrate altered flood risk. Cunha, L.K., W.F. Krajewski, and R. Mantilla. “A Framework for Flood Risk […]

An Analytical Formula for Potential Water Vapor in an Atmosphere of Constant Lapse Rate

Accurate calculation of precipitable water vapor (PWV) in the atmosphere has always been a matter of importance for meteorologists. Potential water vapor (POWV) or maximum precipitable water vapor can be an appropriate base for estimation of probable maximum precipitation (PMP) in an area, leading to probable maximum flood (PMF) and flash flood management systems. Varmaghani, […]

Detecting inhomogeneities in the Twentieth Century Reanalysis over the central United States

We use three statistical methods (Pettitt and Bai‐Perron tests and segmented regression) to detect abrupt shifts in multiple hydrometeorological variable mean and uncertainty fields over the central United States. For surface air temperature and precipitation, we use the Climate Research Unit (CRU) time series data set for comparison. We find that for warm‐season months, there […]

Impact of radar‐rainfall error structure on estimated flood magnitude across scales: An investigation based on a parsimonious distributed hydrological model

The goal of this study is to diagnose the manner in which radar‐rainfall input affects peak flow simulation uncertainties across scales. We used the distributed physically based hydrological model CUENCAS with parameters that are estimated from available data and without fitting the model output to discharge observations. Cunha, L.K., P.V. Mandapaka, W.F. Krajewski, R. Mantilla, and A.A. Bradley. “Impact […]

On the temporal clustering of US floods and its relationship to climate teleconnection patterns

This article examines whether the temporal clustering of flood events can be explained in terms of climate variability or time‐varying land‐surface state variables. Villarini, G., J.A. Smith, R. Vitolo, and D.B. Stephenson. “On the Temporal Clustering of U.S. Floods and Its Relationship to Climate Teleconnection Patterns,” International Journal of Climatology, 33, 3, pp. 629–640, 2013.

Projections of heavy rainfall over the central United States based on CMIP5 models

Several studies based on observational records found increasing trends over the central United States. Recently, Villarini et al. (2013) found a large increase in the number of rainfall days exceeding the 95th percentile of the rainfall distribution over the Upper Mississippi River Basin, and a much weaker signal in the Lower Mississippi River Basin. Villarini, G., […]

An Asynchronous Solver for Systems of ODEs Linked by a Directed Tree Structure

This paper documents our development and evaluation of a numerical solver for systems of sparsely linked ordinary differential equations in which the connectivity between equations is determined by a directed tree. Small, S.J., L.O. Jay, R. Mantilla, R. Curtu, L.K. Cunha, M. Fonley, and W.F. Krajewski. “An Asynchronous Solver for Systems of ODEs Linked by a Directed Tree Structure,” Advances in […]

Uncertainty in radar‐rainfall composite and its impact on hydrologic prediction for the eastern Iowa flood of 2008

This study addresses a significant potential source of error that exists in radar‐rainfall maps that are combined using data from multiple WSR‐88D radars of the Next Generation Radar (NEXRAD) national network in the United States. Seo, B.-C., L.K. Cunha, and W.F. Krajewski. “Uncertainty in Radar-Rainfall Composite and Its Impact on Hydrologic Prediction for the Eastern Iowa Flood […]

Flooding associated with predecessor rain events over the Midwest United States

This paper examines the severity and extent of flooding caused by six predecessor rain events (PREs) over the Midwest United States. PREs are areas of heavy rainfall that occur about 1000 km ahead of landfalling tropical cyclones. While recent studies have mostly focused on the synoptic conditions associated with PREs, little is known about the hydrologic […]

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