Ekolu, Job, Bastien Dieppois, Yves Tramblay, Gabriele Villarini, Louise J. Slater, Gil Mahé, Jean-Emmanuel Paturel, et al. 2024. “Variability in Flood Frequency in Sub-Saharan Africa: The Role of Large-Scale Climate Modes of Variability and Their Future Impacts”. Journal of Hydrology.

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

Torelló-Sentelles, Herminia, Francesco Marra, Marika Koukoula, Gabriele Villarini, and Nadav Peleg. 2024. “Intensification and Changing Spatial Extent of Heavy Rainfall in Urban Areas”. Earth’s Future.

Amorim, Renato, and Gabriele Villarini. 2024. “Assessing the Performance of Parametric and Non-Parametric Tests for Trend Detection in Partial Duration Time Series”. Journal of Flood Risk Management 17: e12957. doi:https://doi.org/10.1111/jfr3.12957.

Deng, Zifeng, Xushu Wu, Gabriele Villarini, Zhaoli Wang, Zhaoyang Zeng, and Chengguang Lai. 2024. “Stronger Exacerbation of Extreme Rainfall at the Hourly Than Daily Scale by Urbanization in a Warming Climate”. Journal of Hydrology 633: 131025. doi:https://doi.org/10.1016/j.jhydrol.2024.131025.

Kim, Hanbeen, and Gabriele Villarini. 2024. “Higher Emissions Scenarios Lead to More Extreme Flooding in the United States”. Nature Communications 15. doi:10.1038/s41467-023-44415-4.

Kim, Hanbeen, and Gabriele Villarini. 2024. “Floods across the Eastern United States Are Projected to Last Longer”. Npj Natural Hazard 1. doi:10.1038/s44304-024-00021-y.

Kim, Hanbeen, Gabriele Villarini, Conrad Wasko, and Yves Tramblay. 2024. “Changes in the Climate System Dominate Inter-Annual Variability in Flooding Across the Globe”. Geophysical Research Letters 51: e2023GL107480. doi:https://doi.org/10.1029/2023GL107480.

Kim, Taereem, and Gabriele Villarini. 2024. “Projected Changes in Daily Precipitation, Temperature and Wet-Bulb Temperature across Arizona Using Statistically Downscaled CMIP6 Climate Models”. International Journal of Climatology 44: 1994-2010. doi:https://doi.org/10.1002/joc.8436.

Kim, Taereem, Gabriele Villarini, James M. Done, David R. Johnson, Andreas F. Prein, and Chao Wang. 2024. “Dominant Sources of Uncertainty for Downscaled Climate: A Military Installation Perspective”. Journal of Geophysical Research: Atmospheres 129: e2024JD040935. doi:https://doi.org/10.1029/2024JD040935.

Kuntla, Sai Kiran, Manabendra Saharia, Samar Prakash, and Gabriele Villarini. 2024. “Precipitation Inequality Exacerbates Streamflow Inequality, But Dams Moderate It”. Science of The Total Environment 912: 169098. doi:https://doi.org/10.1016/j.scitotenv.2023.169098.

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, 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.

Treppiedi, Dario, Gabriele Villarini, and Leonardo V. Noto. 2024. “Climate Change Exacerbates the Compounding of Heat Stress and Flooding in the Mid-Latitudes”. International Journal of Climatology 44: 2283-96. doi:https://doi.org/10.1002/joc.8453.

Wasko, C., S. Westra, R. Nathan, A. Pepler, T. H. Raupach, A. Dowdy, F. Johnson, et al. 2024. “A Systematic Review of Climate Change Science Relevant to Australian Design Flood Estimation”. Hydrology and Earth System Sciences 28: 1251–1285. doi:10.5194/hess-28-1251-2024.

Amorim, R., G. Villarini, W. Veacth, and K. White. 2023. “Reduced and More Fragmented Mississippi River Navigability by Rising Flow”. Geophysical Research Letters 50: e2023GL104619. doi:10.1029/2023GL104619.

Ayers, Jessica R., Gabriele Villarini, Yves Tramblay, and Hanbeen Kim. 2023. “Observed Changes in Monthly Baseflow across Africa”. Hydrological Sciences Journal 68 (1): 108-18. doi:10.1080/02626667.2022.2144320.

Denniston, Rhawn F., Caroline C. Ummenhofer, Kerry Emanuel, Roberto Ingrosso, Francesco S. R. Pausata, Alan D. Wanamaker, Matthew S. Lachniet, et al. 2023. “Sensitivity of Northwest Australian Tropical Cyclone Activity to ITCZ Migration since 500 CE”. Science Advances 9: eadd9832. doi:doi:10.1126/sciadv.add9832.

Islam, Sadya, Gabriele Villarini, and Wei Zhang. 2023. “Quantification of the Role of Urbanization in Changing the Rainfall Associated With Tropical Cyclones Affecting Charlotte, North Carolina”. Urban Climate 52: 101681. doi:https://doi.org/10.1016/j.uclim.2023.101681.

Kemter, Matthias, Norbert Marwan, Gabriele Villarini, and Bruno Merz. 2023. “Controls on Flood Trends Across the United States”. Water Resources Research 59: e2021WR031673. doi:https://doi.org/10.1029/2021WR031673.

Kim, Hanbeen, and Gabriele Villarini. 2023. “On the Attribution of Annual Maximum Discharge across the Conterminous United States”. Advances in Water Resources 171: 104360. doi:https://doi.org/10.1016/j.advwatres.2022.104360.

Kim, Hanbeen, Gabriele Villarini, Robert Jane, Thomas Wahl, Shubhra Misra, and Alexander Michalek. 2023. “On the Generation of High-Resolution Probabilistic Design Events Capturing the Joint Occurrence of Rainfall and Storm Surge in Coastal Basins”. International Journal of Climatology 43: 761-71. doi:https://doi.org/10.1002/joc.7825.

Kim, Taereem, Gabriele Villarini, Hanbeen Kim, Robert Jane, and Thomas Wahl. 2023. “On the Compounding of Nitrate Loads and Discharge”. Journal of Environmental Quality 52: 706-17. doi:https://doi.org/10.1002/jeq2.20458.

Kim, Hanbeen, and Gabriele Villarini. 2023. “On the Potential Use of Weather Types to Describe the Interannual Variability of Annual Maximum Discharge across the Conterminous United States”. Hydrological Processes 37: e15014. doi:https://doi.org/10.1002/hyp.15014.

Kraft, Lily L., Gabriele Villarini, and Jeffrey Czajkowski. 2023. “Characterizing the 2019 Midwest Flood: A Hydrologic and Socioeconomic Perspective”. Weather, Climate, and Society 15. Boston MA, USA: American Meteorological Society: 603-17. doi:https://doi.org/10.1175/WCAS-D-22-0065.1.

Li, Xun, Joyee Ghosh, and Gabriele Villarini. 2023. “A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction”. The American Statistician 77. Taylor & Francis: 304-12. doi:10.1080/00031305.2022.2087735.

Li, Xun, Joyee Ghosh, and Gabriele Villarini. 2023. “Bayesian Negative Binomial Regression Model With Unobserved Covariates for Predicting the Frequency of North Atlantic Tropical Storms”. Journal of Applied Statistics 50. Taylor & Francis: 2014-35. doi:10.1080/02664763.2022.2063266.

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, 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 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, 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.

Rashid, M. M., T. Wahl, G. Villarini, and A. Sharma. 2023. “Fluvial Flood Losses in the Contiguous United States Under Climate Change”. Earth S Future 11: e2022EF003328. doi:https://doi.org/10.1029/2022EF003328.

Slater, L. J., L. Arnal, M.-A. Boucher, A. Y.-Y. Chang, S. Moulds, C. Murphy, G. Nearing, et al. 2023. “Hybrid Forecasting: Blending Climate Predictions With AI Models”. Hydrology and Earth System Sciences 27: 1865–1889. doi:10.5194/hess-27-1865-2023.

Su, Yibing, James A. Smith, and Gabriele Villarini. 2023. “Extreme Convective Rainfall and Flooding from Winter Season Extratropical Cyclones in the Mid-Atlantic Region of the United States”. Journal of Hydrometeorology 24. Boston MA, USA: American Meteorological Society: 497-520. doi:https://doi.org/10.1175/JHM-D-22-0069.1.

Su, Yibing, James A. Smith, and Gabriele Villarini. 2023. “The Hydrometeorology of Extreme Floods in the Lower Mississippi River”. Journal of Hydrometeorology 24. Boston MA, USA: American Meteorological Society: 203-19. doi:https://doi.org/10.1175/JHM-D-22-0024.1.

Villarini, Gabriele, Dario Treppiedi, and Leonardo Valerio Noto. 2023. “Sensitivity of the SIMulation-EXtrapolation (SIMEX) Methodology to Mis-Specification of the Statistical Properties of the Measurement Errors”. Theoretical and Applied Climatology 153: 311-21. doi:10.1007/s00704-023-04458-5.

Yang, Zhiqi, Wei Zhang, and Gabriele Villarini. 2023. “Impact of Coronavirus-Driven Reduction in Aerosols on Precipitation in the Western United States”. Atmospheric Research 288: 106732. doi:https://doi.org/10.1016/j.atmosres.2023.106732.

Ayers, Jessica R., Gabriele Villarini, Keith Schilling, Christopher Jones, Andrea Brookfield, Samuel C. Zipper, and William H. Farmer. 2022. “The Role of Climate in Monthly Baseflow Changes across the Continental United States”. Journal of Hydrologic Engineering 27: 04022006. doi:10.1061/(ASCE)HE.1943-5584.0002170.

Ekolu, Job, Bastien Dieppois, Moussa Sidibe, Jonathan M. Eden, Yves Tramblay, Gabriele Villarini, Dhais Peña-Angulo, et al. 2022. “Long-Term Variability in Hydrological Droughts and Floods in Sub-Saharan Africa: New Perspectives from a 65-Year Daily Streamflow Dataset”. Journal of Hydrology 613: 128359. doi:https://doi.org/10.1016/j.jhydrol.2022.128359.

Kim, Hanbeen, and Gabriele Villarini. 2022. “Evaluation of the Analysis of Record for Calibration (AORC) Rainfall across Louisiana”. Remote Sensing 14: 3284.

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.

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.

Quintero, Felipe, Gabriele Villarini, Andreas F. Prein, Wei Zhang, and Witold F. Krajewski. 2022. “Discharge and Floods Projected to Increase More Than Precipitation Extremes”. Hydrological Processes 36: e14738. doi:https://doi.org/10.1002/hyp.14738.

Quintero, Felipe, Gabriele Villarini, Andreas Prein, Witold Krajewski, and Wei Zhang. 2022. “On the Role of Atmospheric Simulations Horizontal Grid Spacing for Flood Modeling”. Climate Dynamics 59: 3167-74. doi:10.1007/s00382-022-06233-0.

Ren, Meifang, Gabriele Villarini, Bo Pang, Zongxue Xu, Longgang Du, and Yichen Wang. 2022. “Hydrological Response in a Highly Urbanized Watershed in China”. Journal of Water and Climate Change 13: 2171-87. doi:10.2166/wcc.2022.041.

Tramblay, Yves, Gabriele Villarini, Mohamed Elmehdi Saidi, Christian Massari, and Lina Stein. 2022. “Classification of Flood-Generating Processes in Africa”. Scientific Reports 12. doi:10.1038/s41598-022-23725-5.

Veatch, William, and Gabriele Villarini. 2022. “Modeling Riverine Flood Seasonality With Mixtures of Circular Probability Density Functions”. Journal of Hydrology 613: 128330. doi:https://doi.org/10.1016/j.jhydrol.2022.128330.

Villarini, Gabriele, Wei Zhang, Paul Miller, David R. Johnson, Lauren E. Grimley, and Hugh J. Roberts. 2022. “Probabilistic Rainfall Generator for Tropical Cyclones Affecting Louisiana”. International Journal of Climatology 42: 1789–1802. doi:https://doi.org/10.1002/joc.7335.

Yang, Zhiqi, Gabriele Villarini, and Enrico Scoccimarro. 2022. “Evaluation of the Capability of Regional Climate Models in Reproducing the Temporal Clustering in Heavy Precipitation over Europe”. Atmospheric Research 269: 106027. doi:https://doi.org/10.1016/j.atmosres.2022.106027.

Zhang, Jien, Chaoqun Lu, William Crumpton, Christopher Jones, Hanqin Tian, Gabriele Villarini, Keith Schilling, and David Green. 2022. “Heavy Precipitation Impacts on Nitrogen Loading to the Gulf of Mexico in the 21st Century: Model Projections Under Future Climate Scenarios”. Earth’s Future 10: e2021EF002141. doi:10.1029/2021EF002141.