This author has yet to write their bio.Meanwhile lets just say that we are proud Mikael Mulugeta contributed a whooping 209 entries.
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 […]
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 […]
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 […]
In recent decades, heat waves have generally become more frequent across the United States, while cold waves have been decreasing. While this is in keeping with expectations in a warming climate, it turns out that decadal variations in the number of U.S. heat and cold waves do not correlate well with the observed U.S. warming […]
Based on the findings of this study, ARs are a major flood agent over the central United States. Lavers, D.A. and G. Villarini. “Atmospheric Rivers and Flooding over the Central United States,” Journal of Climate, 26, 12, pp. 7829–7836, 2013.
This paper describes the challenges involved in HNX2’s development and implementation, which include real-time error-handling, time-synchronization of data from multiple asynchronous sources, generation of multiple-radar metadata products, and distribution of products to a user base with diverse needs and constraints. Krajewski, W.F., A. Kruger, S. Singh, B.-C. Seo, and J.A. Smith. “Hydro-NEXRAD-2: Real-Time Access to Customized Radar-Rainfall for […]
This study is the first of its kind to assemble, reprocess, describe, and disseminate a georeferenced U.S. database providing a long-term, detailed characterization of flash flooding in terms of spatiotemporal behavior and specificity of impacts. Gourley, J., Y. Hong, Z. Flamig, A. Arthur, R. Clark, M. Calianno, I. Ruin, T. Ortel, M. Wieczorek, P.-E. Kirstetter, […]
This paper provides an overview of the design and capabilities of the IFIS that was developed as a platform to provide one-stop access to flood-related information. Demir, I. and W.F. Krajewski. “Towards an Adaptive Flood Information System: Integrated Data Access, Analysis and Visualization,” Environmental Modeling & Software, 50, pp. 77–84, 2013.
In this paper, a simple hydrologic example is employed to illustrate the important features of reservoir regulated flood frequency. Ayalew, T. B., W.F. Krajewski, and R. Mantilla. “Exploring the Effect of Reservoir Storage on Peak Discharge Frequency,” Journal of Hydrologic Engineering, 18(12), pp. 1697–1708, 2013.
This paper provides an overview of the design and capabilities of the IFIS that was developed as a platform to provide one-stop access to flood-related information. Demir, I., Krajewski, W., ‘Towards an integrated Flood Information System: Centralized data access, analysis, and visualization’, Environmental Modeling and Software, 50, 77-84, 2013.
Iowa Flood Center
The University of Iowa
100 Stanley Hydraulics Laboratory
Iowa City, IA 52242
E-mail: iihr-iowafloodcenter@uiowa.edu
Contact: Breanna Shea
Phone: 319-384-1729
Fax: 319-335-5238
