As an academic center focused on flood-related research and education, Iowa Flood Center faculty, staff, and students produce many scholarly peer-reviewed journal publications, conference proceedings, and books each year. The following is a sample of this important work, which makes IFC innovations and research available to others in our field and moves the science forward toward improved service for Iowans and others.
Peer-Reviewed Publications
2021
Alabbad, Y., Mount, J., Campbell, A., Demir, I., Assessment of Transportation System Disruption and Accessibility to Critical Amenities During Flooding: Iowa Case Study. Science of the Total Environment 2021, 793.
Ewing, G., Demir, I., An Ethical Decision-making Framework With Serious Gaming: A Smart Water Case Study on Flooding. Hydroinformatics 2021, 23, Issue 3 pp. 466-482.
Ghimire, G., Krajewski, W., Quintero, F., Scale-Dependent Value of QPF for Real-Time Streamflow Forecasting. Journal of Hydrometeorology 2021,
Hu, A., Demir, I., Real-Time Flood Mapping on Client-Side Web Systems Using HAND Model. Hydrology 2021, 8, Issue 2, pp. 65.
Quintero , F., Rojas, M., Muste, M., Krajewski, W., Development of Synthetic Rating Curves: Case Study in Iowa. Journal of Hydraulic Engineering 2021, 26, Issue 1.
Teague, A., Sermet, Y., Demir, I., Muste, M., A Collaborative Serious Game for Water Resources Planning and Hazard Mitigation. International Journal of Disaster Risk Reduction 2021, vol. 53.
2020
Agliamzanov, R., Sit, M., Demir, I., Hydrology@Home: a distributed volunteer computing framework for hydrological research and applicaitons. Hydroinformatics, 2020 vol. 22, issue 2, p. 235-248.
Ghimire, G.R., Jadidoleslam, N., Krajewski W., and Tsonis, A., Insights On Streamflow Predictability Across Scales Using Horizontal Visibility Graph Based Networks. Frontiers in Water 2020, 2, p. 17.
Ghimire, G., Krajewski, W., Exploring Persistence in Streamflow Forecasting. Journal of the American Water Resources Association 2020, 56, p. 542–550.
Ghimire, G.R., Krajewski, W., Hydrologic Implications of Wind Farm Effect on Radar-Rainfall Observations. Geophysical Research Letters. 2020.
Krajewski, W., Ghimire, G., Quintero, F., Streamflow Forecasting without Models. Journal of Hydrometeorology 2020.
Muste, M., Lee, K., Kim, D., Bacotiu, C., Oliveros, M., Cheng, Z., Revisiting hysteresis of flow variables in monitoring unsteady streamflows. Journal of Hydraulic Research. 2021, 58, Issue 6, p. 867–887.
Rojas, M., Quintero, F., Young, N., Analysis of Stage–Discharge Relationship Stability Based on Historical Ratings, Hydrology 2020, 7, 31.
Sermet, Y., Demir, I., Muste, M., A serious gaming framework for decision support on hydrological hazards, Science of the Total Environment, 2020, vol. 728, p. 138895.
Varmaghani A., Eichinger, W.E., and J.H. Prueger. (2020). A Meteorological-Based Crop Coefficient Model for Estimation of Daily Evapotranspiration. Hydrological Processes, DOI: 10.1002/hyp.14025
Xiang, Z., Demir, I., Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa, Environmental Modelling & Software, 2020, 131, p. 104761.
Xiang, Z., Yan, J., Demir, I., A Rainfall-Runoff Model With LSTM-Based Sequence-to-Sequence Learning, Water Resources Research, 2020, vol 56, issue 1.
Xu, H., Windsor, M., Muste, M. and Demir, I., A web-based decision support system for collaborative mitigation of multiple water-related hazards using serious gaming. Journal of Environmental Management, 2020, vol. 255, p.109887.
2019
Ayers, J.R., G. Villarini, C.S. Jones, and K.E. Schilling, Changes in monthly baseflow across the U.S. Midwest, Hydrological Processes, 33(5), 748-758, 2019.
Barth, N.A., G. Villarini, and K. White, Accounting for mixed populations in flood frequency analysis: A Bulletin 17C perspective, Journal of Hydrologic Engineering, 24(3), 1-12, 2019.
Chen, B., W.F. Krajewski, M. Helmers, and Z. Zhang, Spatial variability and temporal persistence of event runoff coefficients over agricultural land, Water Resources Research, 55(2), 1583-1597, 2019.
Jadidoleslam, N., Mantilla, R., Krajewski, W.F., and M. Cosh, Data-driven stochastic model for basin and sub-grid variability of SMAP satellite soil moisture, Journal of Hydrology, 576, 85–97, 2019.
Jadidoleslam, N., Mantilla, R., Krajewski, W.F., Goska, R., Investigating the role of antecedent SMAP satellite soil moisture, radar rainfall and MODIS vegetation on runoff production in an agricultural region. Journal of Hydrology, 579, 124210, 2019.
Keem, M., B.-C. Seo, W.F. Krajewski, and K.R. Morris, Inter-comparison of reflectivity measurements between GPM DPR and NEXRAD Radars, Atmospheric Research, 2019 (in press).
Neri, A., G. Villarini, K. Salvi, L.J. Slater, and F. Napolitano, On the decadal predictability of the frequency of flood events across the U.S. Midwest, s International Journal of Climatology, 2019 (in press).
Rojas, M., Quintero, F., Krajewski, W., Performance of the National Water Model in Iowa using independent observations, Journal of the American Water Resources Association, 2019.
Seo, B.-C., M. Keem, R. Hammond, I. Demir, and W.F. Krajewski, A pilot infrastructure for searching rainfall metadata and generating rainfall product using the Big Data of NEXRAD, Environmental Modeling and Software, 117, 69–75, 2019.
Sermet, Y., Villanueva, P., Sit, M., Demir, I., Crowdsourced approaches for stage measurements at ungauged locations using smartphones, Special Issue: Hydrological Data: Opportunities and barriers, 2019, vol. 65, issue 5, p.813-822.
Slater, L.J., G. Villarini, and A.A. Bradley, Evaluation of the skill of North-American Multi-Model Ensemble (NMME) global climate models in predicting average and extreme precipitation and temperature over the continental USA, doi:10.1007/s00382-016-3286-1, Climate Dynamics, 2019 (in press).
Slater, L.J., G. Villarini, A.A. Bradley, and G.A. Vecchi, A dynamical statistical framework for seasonal streamflow forecasting in an agricultural watershed, Climate Dynamics, 2019 (in press).
Varmaghani, A., Eichinger, W. E., & Prueger, J. H. (2019). Modification of FAO Penman-Monteith Equation for Minor Components of Energy. Hydrology Research, 50(2), 607-615, DOI: 10.2166/nh.2018.093.
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2018
Carson, A., Windsor, M., Hill, H., Haigh, T., Wall, N., Smith, J., Olsen, R., Bathke, D., Demir, I., and Muste, M., Serious Gaming Based Participatory Planning for Mitigation of Flood, Drought, and Water Quality, International Journal of River Basin Management, 16:3, 379–391, 2018.
Demir, I., Yildirim, E., Sermet, Y., and Sit, M., FLOODSS: Iowa Flood Information System as a Generalized Flood Cyberinfrastructure, International Journal of River Basin Management, 16:3, 393–400, 2018.
Dhanya, C.T. and G. Villarini, On the inherent predictability of precipitation across the United States, Theoretical and Applied Climatology, 133, 1035–1050, 2018.
ElSadaani, M., W.F. Krajewski, and D.L. Zimmerman, River network based characterization of errors in remotely sensed rainfall products in hydrological applications, Remote Sensing Letters, 9(8), 743–752, 2018.
ElSadaani, M., W.F. Krajewski, Goska, R., and M. Smith, An investigation of errors in the NFIE-Hydro frameworks’ stream discharge prediction due to channel routing, Journal of the American Water Resources Association, 54(1), 1-10, 2018.
ElSadaani, M., Krajewski, W.F., Goska, R., and M. Smith, An investigation of errors in distributed models’ stream discharge prediction due to channel routing, Journal of the American Water Resources Association, 54(1), 1–10, 2018.
ElSadaani, M., W.F. Krajewski, Zimmerman, D.L., River network based characterization of errors in remotely sensed rainfall products in hydrological applications, Remote Sensing Letters, 9(8), 743–752, 2018.
Ghimire, G.R., W.F. Krajewski, and R. Mantilla, A power law model for river water velocity in U.S. Upper Midwestern basins, Journal of the American Water Resources Association, 54(3), 1-13, 2018.
Giuntoli, I., G. Villarini, C. Prudhomme, and D.M. Hannah, Uncertainties in projected runoff over the conterminous United States, Climatic Change, 150(3), 149–162, 2018.
Nayak, M.A. and G. Villarini, Remote sensing-based characterization of rainfall during atmospheric rivers over the central United States, Journal of Hydrology, 556, 1038–1049, 2018.
Perez, G., R. Mantilla, and W.F. Krajewski, Estimating annual and monthly scale-invariant flow duration curves for the State of Iowa, Journal of Hydrologic Engineering,23(12): 05018021, 2018.
Perez, G., R. Mantilla, and W.F. Krajewski, The influence of spatial variability of width functions on regional peak flow regressions. Water Resources Research, 54, 1-19. https://doi.org/10.1029/2018WR023509, 2018.
Quintero, F., W.F. Krajewski, Conflating the Iowa Flood Center high-resolution river network with the National Water Center NHDPlus network, Journal of the American Water Resources Association, 54(1): 28-39, 2018.
Quintero, F., R. Mantilla, C. Anderson, D. Claman, and W.F. Krajewski, Assessment of changes in flood frequency due to the effects of climate change: Implications for engineering design, Hydrology, 5, 19, 1-16, doi:10.3390/hydrology5010019, 2018.
Seo, B.-C., W.F. Krajewski, F. Quintero, M. ElSaadani, R. Goska, L.K. Cunha, B. Dolan, D.B. Wolff, J.A. Smith, S.A. Rutledge, and W.A. Petersen, Comprehensive evaluation of the IFloodS radar-rainfall products for hydrologic applications, Journal of Hydrometeorology, 19(11), 1793–1813, 2018.
Seo, B.-C., F. Quintero, and W.F. Krajewski, High-resolution QPF uncertainty and its implications for flood prediction: A case study for the Eastern Iowa flood of 2016, Journal of Hydrometeorology, 19(8), 1289–1304, 2018.
Sermet, Y. and Demir, I., An Intelligent System on Knowledge Generation and Communication for Flooding, Environmental Modeling and Software, 108, 51–60, 2018.
Slater, L.J. and G. Villarini, Enhancing the predictability of seasonal streamflow via a statistical-dynamical approach, Geophysical Research Letters, 45, 6504–6513, 2018.
Villarini, G., and L.J. Slater, Examination of changes in annual maximum gauge height in the continental United States using quantile regression, Journal of Hydrologic Engineering, 23(3), 1–5, 2018.
Zhang, W., G. Villarini, G.A. Vecchi, and J.A. Smith, Urbanization exacerbated the rainfall and flooding caused by hurricane Harvey in Houston, Nature, 563, 384–388, 2018.
2017
Ayalew, T.B., W.F. Krajewski, R. Mantilla, and D.L. Zimmerman, Can floods at large river basin be predicted from floods observed at small subbasins? Journal of Flood Risk Management, 1-8, DOI: 10.1111/jfr3.12327, 2017.
Chen, B., W.F. Krajewski, R. Goska, and N. Young, Using LiDAR surveys to document floods: A case study of the 2008 Iowa flood, Journal of Hydrology, 553, 338-349, 2017.
Demir, I., Szczepanek, R., Optimization of River Network Representation Data Models for Web-based Systems, Earth and Space Science, Volume 4, Issue 6, 2017.
Dhanya, C.T., and G. Villarini, An investigation of predictability dynamics of temperature and precipitation in reanalysis datasets over the continental United States, Atmospheric Research, 183, 341-350, 2017.
Krajewski, W.F., Ceynar, D., Demir, I., Goska, R., Kruger, A., Langel, C., Mantilla, R., Niemeier, F., Quintero, F., Seo, B.C., Small, S., Weber, L., Young, N., Real-Time Flood Forecasting and Information System for the State of Iowa, Bulletin of the American Meteorological Society, 98, 539–554, 2017.
Lee, K., M. Muste, Refinement of the Fread Method for Improved Tracking of Stream Discharges during Unsteady Flows, American Society of Civil Engineers, DOI: 10.1061/(ASCE)HY.1943-7900.0001280.
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Mallakpour, I., Villarini,G., Analysis of changes in the magnitude, frequency, and seasonality of heavy precipitation over the contiguous United States, Theoretical and Applied Climatology, 130, 345-363, 2017.
Mallakpour, I., G. Villarini, M.P. Jones, and J.A. Smith, On the use of Cox regression to examine the temporal clustering of flooding and heavy precipitation across the central United States, Global and Planetary Change, 155, 98-108, 2017.
Muste, M., Hoitink, T., Measuring Flood Discharge, chapter in Oxford Research Encyclopedia of Natural Hazard Science, Subject: Case studies, risk assessment, vulnerability, floodss; Oxford University Press, doi: 10.1093/acrefore/9780199389407.013.121, 2017.
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Nayak, M.A, and G. Villarini, A long-term perspective of the hydroclimatological impacts of atmospheric rivers over the central United States, Water Resources Research, 53, 1144-1166, 2017.
Quintero, F., Krajewski, W.F., Mapping Outlets of Iowa Flood Center and National Water Center River Networks for Hydrologic Model Comparison, Journal of the American Water Resources Association, , 2017
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Quintero, F., Krajewski, W.F., Mantilla, R., Small, S., Seo. B.-C., A Spatial-Dynamical Framework for Evaluation of Satellite Rainfall Products for Flood Prediction, Journal of Hydrometeorology, 17, 8, pp., 2017. doi.org/10.1175/JHM-D-15-0195.1
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Salvi, K., Villarini, G., and Vecchi, G.A., High resolution decadal precipitation predictions over the continental United States for impacts assessment, Journal of Hydrology, 553, 559-573, 2017.
Salvi, K., G. Villarini, G.A. Vecchi, and S. Ghosh, Decadal temperature predictions over the continental United States: Analysis and enhancement, Climate Dynamics, 49, 3587-3604, 2017.
Slater, L.J., and G. Villarini, Evaluating the drivers of seasonal streamflow in the U.S. Midwest, Water, 9(9), 1-22, 2017.
Villarini, G., Khouakhi, A., Cunningham, E., On the impacts of computing daily temperatures as the average of the daily minimum and maximum temperatures, Atmospheric Research, 198, 145-150, 2017.
Weber, L., Muste, M., Bradley, A.A., Amado, A. A., Demir, I., Drake, C., Krajewski, W.F., Loeser, T., Politano, M., Shea, B., Thomas, N., The Iowa Watersheds Project: Iowa’s prototype for engaging communities and professionals in watershed hazard mitigation. International Journal of River Basin Management. DOI: 10.1080/15715124.2017.1387127, 2017.
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Zalenski, G., Krajewski, W.F., Quintero, F., Restrepo, P., Buan, S., Analysis of National Weather Service Stage Forecast Errors, Weather and Forecasting, August 2017, pp. 1441–1465, 2017. doi.org/10.1175/WAF-D-16-0219.1
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Zhang, W., Villarini, G., Extreme precipitation is highly sensitive to the magnitude of future warming, Climatic Change, 145, 249-257, 2017.
Zhang, W., and G. Villarini, On the unseasonal flooding over the central United States during December 2015 and January 2016, Atmospheric Research, 196, 23-28, 2017.
Zhang, W., G. Villarini, E. Scoccimarro, and G.A. Vecchi, Stronger influences of increased CO2 on sub-daily precipitation extremes than at the daily scale, Geophysical Research Letters, 44, 7464-7471, 2017.
Books
Muste, M., et al. Experimental Hydraulics: Methods, Instrumentation, Data Processing, and Management, two-volume textbook, CRC Press, Taylor & Francis Group, August 2017.
2016
Faraji, S., Sadri, B., Vajdi Hokmabad, B., Jadidoleslam, N., Esmaeilzadeh, E., Experimental study on the role of electrical conductivity in pulsating models of electrospraying, Science Direct, DOI: 10.1016/j/expthermflusci.2016.10.030.
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Gil, Y., David, C., Demir I., Essawy, B., Fulweiler, R., Goodall, J., Karlstrom, L., Lee. H., Mills, H., Oh, J., Pierce, S., Pope, A., Tzeng, M., Villamizar, S., Yu, X., Towards the Geoscience Paper of the Future: Best Practices for Documenting and Sharing Research from Data to Software to Provenance, Earth and Space Science, 3, 2016.
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Mallakpour, I., and G. Villarini, Investigating the relationship between the frequency of flooding over the central United States and large-scale climate, Advances in Water Resources, 92, 159-171, 2016.
Mishra, K.V., W.F. Krajewski, R. Goska, D. Ceynar, B.-C. Seo, A. Kruger, J. Niemeier, M.B. Galvez, M. Thurai, V.N. Bringi, L. Tolstoy, P. Kucera, W. Petersen, J. Grazioli and A. Pazmany. Deployment and performance analyses of high-resolution Iowa XPOL radar system during the NASA IFloodS campaign, Journal of Hydrometeorology, 17(2), 455-479, 2016.
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Nayak, M.A., G. Villarini, and A.A. Bradley, Atmospheric rivers and rainfall during NASA’s Iowa Flood Studies (IFloodS) campaign, Journal of Hydrometeorology, 17(1), 257-271, 2016.
Slater, L.J., Villarini, G., Recent trends in U.S. flood risk, American Geophysical Union, DOI: 10.1002/2016GL071199, 2016.
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Slater, L.J., Villarini, G., Recent trends in US flood risk, Geophysical Research Letters, 43(24), 12428-12436, 2016.
Sloan, B. P., Basu, N. B., & R. Mantilla. Hydrologic impacts of subsurface drainage at the field scale: Climate, landscape and anthropogenic controls, Agricultural Water Management, vol. 165, pp. 1-10, 2016.
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Varmaghani, A., Eichinger, W.E. Early-Season Classification of Corn and Soybean Using Bayesian Discriminant Analysis on Satellite Images, Agron. J.O., DOI: 10.2134/AGRONJ2015.0454.
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Varmaghani, A., Eichinger, W.E., and Prueger, J.H. A Diagnostic Approach towards the Causes of Energy Balance Closure Problem, Open Journal of Modern Hydrology, 6, 2016, pp. 101–114.
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Villarini, G., On the seasonality of flooding across the continental United States, Advances in Water Resources, 87, 80-91, 2016.
2015
Anderson, C., D. Claman, and R. Mantilla. Iowa’s Bridge and Highway Climate Change and Extreme Weather Vulnerabililty Assessment Pilot. Iowa Publications Online. pp. 1-61, 2015.
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Ayalew, T.B., W.F. Krajewski, and R. Mantilla. Insights into Expected Changes in Regulated Flood Frequencies due to the Spatial Configuration of Flood Retention Ponds, Journal of Hydrologic Engineering, DOI:10.1061/(ASCE)HE.1943-5584.0001173, 2015.
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Demir, I., Conover, H., Krajewski, W., Seo, B., Goska, R., He, Y., McEniry, M.F., Graves, S.J., Peterson, W., Data Enabled Field Experiment Planning, Management, and Research using Cyberinfrastructure, Journal of Hydrometeorology, 3, 1155-1170, 2015.
Giuntoli, I., G. Villarini, C. Prudhomme, I. Mallakpour, and D. Hannah, Evaluation of global impact models ability to reproduce runoff characteristics over the central United States, Journal of Geophysical Research, 120, 9138-9159, 2015.
Kim, D., M. Muste, and V. Merwade. A GIS-based relational data model for multi-dimensional representation or river hydrodynamics and morphodynamics, Environmental Modelling and Software, 65, pp. 79-93, 2015.
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Lavers, D.A., and G. Villarini, The contribution of atmospheric rivers to precipitation in Europe and the United States, Journal of Hydrology, 522, 382-390, 2015.
Mallakpour, I., and G. Villarini, The changing nature of flooding across the central United States, Nature Climate Change, 5, 250-254, 2015.
Mallakpour, I., and G. Villarini. The changing nature of flooding across the central United States, Nature Climate Change, DOI:10.1038/NCLIMATE2516, 2015.
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Moser, B., W.A. Gallus Jr., and R. Mantilla. An Initial Assessment of Radar Data Assimilation on Warm Season Rainfall Forecasts for Use in Hydrologic Models, American Meteorological Society, DOI: 10.1175/WAF-D-14-00125.1, 2015.
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Seo, B.-C., W.F. Krajewski, and K.V. Mishra. Using the new dual-polarimetric capability of WSR-88D to eliminate anomalous propagation and wind turbine effects in radar-rainfall, Atmospheric Research, 153, pp. 296-309, 2015.
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Villarini, G., E. Scoccimarro, K.D. White, J.R. Arnold, K.E. Schilling, and J. Ghosh, Projected changes in discharge in an agricultural watershed in Iowa, Journal of the American Water Resources Association, 51(5), 1361-1371, 2015.
2014
Ayalew, T.B., W.F. Krajewski, and R. Mantilla. Connecting the power-law scaling structure of peak-discharges to spatially variable rainfall and catchment physical properties, Advances in Water Resources, 71, pp. 32-43, 2014.
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Ayalew, T.B., W.F. Krajewski, R. Mantilla, and S.J. Small. Exploring the Effects of Hillslope-Channel Link Dynamics and Excess Rainfall Properties on the Scaling Structure of Peak-Discharge, Advances in Water Resources, 64, pp. 9-20, 2014.
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Gupta, V. K. and O.J. Mesa. Horton laws for hydraulic–geometric variables and their scaling exponents in self-similar Tokunaga river networks, Nonlinear Processes Geophysics, 21, pp. 1007-1025, 2014.
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Muste, M., A. Hauet, I. Fujita, C. Legout, and H.-C. Ho. Capabilities of Large-Scale Particle Image Velocimetry to Characterize Shallow Free-Surface Flows, Advances in Water Resources, 70(2014), pp. 160–171, 2014.
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Nayak, M.A., G. Villarini, and D.A. Lavers, On the skill of numerical weather prediction models to forecast atmospheric rivers over the central United States, Geophysical Research Letter, 41, 4354-4362, 2014.
Nayak, M.A., G. Villarini, and D.A. Lavers. On the skill of numerical weather prediction models to forecast atmospheric rivers over the central United States, Geophysical Research Letter, 41, pp. 4354-4362, 2014.
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Seo, B.-C., W.F. Krajewski, and J.A. Smith. Four-dimensional reflectivity data comparison between two ground-based radars: Methodology and statistical analysis, Hydrological Sciences Journal, 59, pp. 1320-1334, 2014.
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Varmaghani, A., and Ghiassi, R. Release Time Component of a Hydrograph. J. Hydrol. Eng., DOI:10.1061/(ASCE)HE.1943-5584.0000790, pp. 444-447, 2014.
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Villarini, G., Goska, R., J.A. Smith, and G.A. Vecchi. North Atlantic Tropical Cyclones and U.S. Flooding, Bulletin of the American Meteorological Society, 95(9), pp. 1381–1388, 2014.
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Villarini, G., Seo, B.-C., Serinaldi, F., Krajewski, W.F., Spatial and temporal modeling of radar rainfall uncertainties, Atmospheric Research, 135-136, 91-101, 2014.
Villarini, G., Seo, B.-C., Serinaldi, F., Krajewski, W.F., Spatial and temporal modeling of radar rainfall uncertainties, Atmospheric Research, 135-146, pp. 91-101, 2014.
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Villarini, G., Strong, A., Roles of climate and Agricultural Practices in Discharge Changes in an Agricultural Watershed in Iowa, Agriculture, Ecosystems and Environment, 188, 204-211, 2014.
Villarini, G. Strong, A., Roles of Climate and Agricultural Practices in Discharge Changes in an Agricultural Watershed in Iowa. Agriculture, Ecosystems and Environment. 188, pp. 204-211, 2014.
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2013
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.
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Demir, I., Krajewski, W.F., Towards an integrated Flood Information System: Centralized data access, analysis, and visualization, Environmental Modeling and Software, 50, 77-84, 2013.
Demir, I., Krajewski, W.F., Towards an Adaptive Flood Information System: Integrated Data Access, Analysis and Visualization, Environmental Modeling & Software, 50, pp. 77–84, 2013.
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Gourley, J., Y. Hong, Z. Flamig, A. Arthur, R. Clark, M. Calianno, I. Ruin, T. Ortel, M. Wieczorek, P.-E. Kirstetter, E. Clark, and W. Krajewski, A Unified Flash Flood Database across the United States, Bulletin of the American Meteorological Society, 94, pp. 799–805, 2013.
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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 Hydrologic Applications, Journal of Hydroinformatics, 15, 2, pp. 580–590, 2013.
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Lavers, D.A. and G. Villarini. Atmospheric Rivers and Flooding over the Central United States, Journal of Climate, 26, 12, pp. 7829–7836, 2013.
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Peterson, T.C., R.R. Heim, R. Hirsch, D.P. Kaiser, H. Brooks, N.S. Diffenbaugh, R.M. Dole, J.P. Giovannettone, J. Guirguis, T.R. Karl, R.W. Katz, K. Kunkel, D. Lettenmaier, G.J. McCabe, C.J. Paciorek, K.R. Ryberg, S. Schubert, V.B.S. Silva, B.C. Stewart, A.V. Vecchia, G. Villarini, R.S. Vose, J. Walsh, M. Wehner, D. Wolock, K. Wolter, C.A. Woodhouse, and D. Wuebbles. Monitoring and Understanding Changes in Heat Waves, Cold Waves, Floods and Droughts in the United States: State of Knowledge, Bulletin of the American Meteorological Society, 94(6), pp. 821–834, 2013.
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Rowe, S.T. and G. Villarini. Flooding Associated with Predecessor Rain Events over the Midwest United States, Environmental Research Letters, 8, 1–5, 2013.
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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 of 2008, Water Resources Research, 49, pp. 2747–2764, 2013.
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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 Water Resources, 53, pp. 23–32, 2013.
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Villarini, G., E. Scoccimarro, and S. Gualdi. Projections of Heavy Rainfall over the Central United States Based on CMIP5 Models, Atmospheric Science Letters, 14, 3, pp. 200–205, 2013.
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Villarini, G., J.A. Smith, and G.A. Vecchi. Changing Frequency of Heavy Rainfall over the Central United States, Journal of Climate, 26, 1, pp. 343–350, 2013.
UI Press Release | Summary | Abstract
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.
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2012
Cunha, L.K., P.V. Mandapaka, W.F. Krajewski, R. Mantilla, and A.A. Bradley. Impact of Radar Rainfall Error Structure on Estimated Flood Magnitude Across Scales: An Investigation Based on a Parsimonious Distributed Hydrological Model, Water Resources Research, 48, 10, W10515, 2012.
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Ferguson, C.R. and G. Villarini. Detecting Inhomogeneities in the 20th-Century Reanalysis over the Central United States, Journal of Geophysical Research, 117, D05123, 2012.
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Varmaghani, A. An Analytical Formula for Potential Water Vapor in an Atmosphere of Constant Lapse Rate, Terrestrial, Atmospheric, and Oceanic Sciences, 23, 1, pp. 17–24, 2012.
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2011
Cunha, L.K., P.V. Mandapaka, W.F. Krajewski, R. Mantilla, and A.A. Bradley. A Framework for Flood Risk Assessment in Ungauged Basins, Journal of Flood Risk Management, 4, 1, pp. 3–22, 2011.
Gilles, D.G., N.C. Young, J.A. Piotrowski, H.S. Schroeder, and Y.J. Chang. Inundation Mapping Initiatives of the Iowa Flood Center: Statewide Coverage and Detailed Urban Flooding Analysis, Water, pp. 85–106, 2011.
Abstract | Summary
Villarini, G., J.A. Smith, M.L. Baeck, and W.F. Krajewski. Examining Regional Flood Frequency in the U.S. Midwest, Journal of the American Water Resources Association, 47, 3, pp. 447–463, 2011.
Abstract | Summary
Villarini, G., J.A. Smith, M.L. Baeck, R. Vitolo, B. Stephenson, and W.F. Krajewski. On the Frequency of Heavy Rainfall for the Upper Midwest of the United States, Journal of Hydrology, 400, 1-2, pp. 103–120, 2011.
2010
Gupta, V.K., R. Mantilla, B.M. Troutman, D. Dawdy, and W.F. Krajewski. Generalizing a Nonlinear Geophysical Flood Theory to Medium Size River Basins, Geophysical Research Letters, 37, L11402, 2010.
Abstract | Summary
Books
Mutel, C.F. (ed.). A Watershed Year: Anatomy of the Iowa Floods of 2008, The University of Iowa Press, 2010.
