Maduwantha, P., T. Wahl, S. Santamaria-Aguilar, R. Jane, J. F. Booth, H. Kim, and G. Villarini. 2024. “A Multivariate Statistical Framework for Mixed Storm Types in Compound Flood Analysis”. Natural Hazards and Earth System Sciences 24: 4091–4107. doi:10.5194/nhess-24-4091-2024.

Mallakpour, Iman, and Gabriele Villarini. 2015. “The Changing Nature of Flooding across the Central United States”. Nature Climate Change 5: 250–254. doi:10.1038/nclimate2516.

Mallakpour, Iman, and Gabriele Villarini. 2016. “Investigating the Relationship Between the Frequency of Flooding over the Central United States and Large-Scale Climate”. Advances in Water Resources 92: 159–171. doi:10.1016/j.advwatres.2016.04.008.

Mallakpour, Iman, and Gabriele Villarini. 2016. “A Simulation Study to Examine the Sensitivity of the Pettitt Test to Detect Abrupt Changes in Mean”. Hydrological Sciences Journal-Journal Des Sciences Hydrologiques 61: 245–254. doi:10.1080/02626667.2015.1008482.

Mallakpour, Iman, and Gabriele Villarini. 2017. “Analysis of Changes in the Magnitude, Frequency, and Seasonality of Heavy Precipitation over the Contiguous USA”. Theoretical and Applied Climatology 130: 345–363. doi:10.1007/s00704-016-1881-z.

Mallakpour, Iman, Gabriele Villarini, Michael P. Jones, and James A. Smith. 2017. “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. doi:10.1016/j.gloplacha.2017.07.001.

Mandapaka, Pradeep V., Witold F. Krajewski, Grzegorz J. Ciach, Gabriele Villarini, and James A. Smith. 2009. “Estimation of Radar-Rainfall Error Spatial Correlation”. Advances in Water Resources 32: 1020–1030. doi:10.1016/j.advwatres.2008.08.014.

Mandapaka, Pradeep V., Gabriele Villarini, Bong-Chul Seo, and Witold F. Krajewski. 2010. “Effect of Radar-Rainfall Uncertainties on the Spatial Characterization of Rainfall Events”. Journal of Geophysical Research-Atmospheres 115. doi:10.1029/2009jd013366.

Michalek, Alexander, Felipe Quintero, Gabriele Villarini, and Witold F. Krajewski. 2022. “Advantages of Physically Based Flood Frequency Analysis With Long-Term Simulations for Iowa”. Journal of Hydrologic Engineering 27: 05022021. doi:10.1061/(ASCE)HE.1943-5584.0002230.

Michalek, Alexander, Felipe Quintero, Gabriele Villarini, and Witold F. Krajewski. 2023. “Projected Changes in Annual Maximum Discharge for Iowa Communities”. Journal of Hydrology 625: 129957. doi:https://doi.org/10.1016/j.jhydrol.2023.129957.

Michalek, Alexander, Gabriele Villarini, and Admin Husic. 2023. “Climate Change Projected to Impact Structural Hillslope Connectivity at the Global Scale”. Nature Communications 14. doi:10.1038/s41467-023-42384-2.

Michalek, Alexander, James M. Done, and Gabriele Villarini. 2024. “Future Changes in Regional Tropical Cyclone Wind, Precipitation, and Flooding Using Event-Based Downscaling”. Earth S Future 12: e2023EF004279. doi:https://doi.org/10.1029/2023EF004279.

Michalek, Alexander T., Gabriele Villarini, Taereem Kim, Felipe Quintero, Witold F. Krajewski, and Enrico Scoccimarro. 2023. “Evaluation of CMIP6 HighResMIP for Hydrologic Modeling of Annual Maximum Discharge in Iowa”. Water Resources Research 59: e2022WR034166. doi:https://doi.org/10.1029/2022WR034166.

Michalek, Alexander T., Gabriele Villarini, Taereem Kim, Felipe Quintero, and Witold F. Krajewski. 2023. “Disentangling the Sources of Uncertainties in the Projection of Flood Risk Across the Central United States (Iowa)”. Geophysical Research Letters 50: e2023GL105852. doi:https://doi.org/10.1029/2023GL105852.

Michalek, Alexander T., Gabriele Villarini, and Taereem Kim. 2024. “Understanding the Impact of Precipitation Bias-Correction and Statistical Downscaling Methods on Projected Changes in Flood Extremes”. Earth’s Future 12: e2023EF004179. doi:10.1029/2023EF004179.

Michalek, Alexander T., Felipe Quintero, and Gabriele Villarini. 2024. “Contiguous United States Hydrologic Modeling Using the Hillslope Link Model TETIS”. JAWRA Journal of the American Water Resources Association 60: 1058-79. doi:https://doi.org/10.1111/1752-1688.13227.

Michalek, Alexander T., Gabriele Villarini, Andreas F. Prein, James M. Done, David R. Johnson, and Chao Wang. 2025. “Precipitation- and Temperature-Driven Future Changes to Flooding in Alaska”. Geophysical Research Letters 52: e2024GL112004. doi:https://doi.org/10.1029/2024GL112004.

Miniussi, Arianna, Marco Marani, and Gabriele Villarini. 2020. “Metastatistical Extreme Value Distribution Applied to Floods across the Continental United States”. Advances in Water Resources 136. doi:10.1016/j.advwatres.2019.103498.

Miniussi, Arianna, Gabriele Villarini, and Marco Marani. 2020. “Analyses through the Metastatistical Extreme Value Distribution Identify Contributions of Tropical Cyclones to Rainfall Extremes in the Eastern United States”. Geophysical Research Letters 47: e2020GL087238. doi:10.1029/2020gl087238.

Mishra, Ashok, Sourav Mukherjee, Bruno Merz, Vijay P. Singh, Daniel B. Wright, Gabriele Villarini, Subir Paul, et al. 2022. “An Overview of Flood Concepts, Challenges, and Future Directions”. Journal of Hydrologic Engineering 27: 03122001. doi:10.1061/(ASCE)HE.1943-5584.0002164.

Morrison, Alex, Gabriele Villarini, Wei Zhang, and Enrico Scoccimarro. 2019. “Projected Changes in Extreme Precipitation at Sub-Daily and Daily Time Scales”. Global and Planetary Change 182. doi:10.1016/j.gloplacha.2019.103004.

Murakami, Hiroyuki, Gabriel A. Vecchi, Gabriele Villarini, Thomas L. Delworth, Richard Gudgel, Seth Underwood, Xiaosong Yang, Wei Zhang, and Shian-Jiann Lin. 2016. “Seasonal Forecasts of Major Hurricanes and Landfalling Tropical Cyclones Using a High-Resolution GFDL Coupled Climate Model”. Journal of Climate 29: 7977–7989. doi:10.1175/jcli-d-16-0233.1.

Murakami, Hiroyuki, Gabriele Villarini, Gabriel A. Vecchi, Wei Zhang, and Richard Gudgel. 2016. “Statistical-Dynamical Seasonal Forecast of North Atlantic and US Landfalling Tropical Cyclones Using the High-Resolution GFDL FLOR Coupled Model”. Monthly Weather Review 144: 2101–2123. doi:10.1175/mwr-d-15-0308.1.