| Metastatistical Extreme Value Distribution applied to floods across the continental United States A Miniussi, M Marani, G Villarini Advances in Water Resources 136, 103498, 2020 | 46 | 2020 |
| Estimation of daily rainfall extremes through the metastatistical extreme value distribution: Uncertainty minimization and implications for trend detection A Miniussi, M Marani Water Resources Research 56 (7), e2019WR026535, 2020 | 45 | 2020 |
| Analyses through the metastatistical extreme value distribution identify contributions of tropical cyclones to rainfall extremes in the eastern United States A Miniussi, G Villarini, M Marani Geophysical Research Letters 47 (7), e2020GL087238, 2020 | 41 | 2020 |
| Shifts in flood generation processes exacerbate regional flood anomalies in Europe L Tarasova, D Lun, R Merz, G Blöschl, S Basso, M Bertola, A Miniussi, ... Communications Earth & Environment 4 (1), 49, 2023 | 29 | 2023 |
| Estimation of extreme daily precipitation return levels at-site and in ungauged locations using the simplified MEV approach A Miniussi, F Marra Journal of Hydrology 603, 126946, 2021 | 20 | 2021 |
| Reliable estimation of high floods: A method to select the most suitable ordinary distribution in the Metastatistical extreme value framework S Mushtaq, A Miniussi, R Merz, S Basso Advances in Water Resources 161, 104127, 2022 | 19 | 2022 |
| Extreme flooding controlled by stream network organization and flow regime S Basso, R Merz, L Tarasova, A Miniussi Nature Geoscience 16 (4), 339-343, 2023 | 12 | 2023 |
| PHEV! The PHysically-based Extreme Value distribution of river flows S Basso, G Botter, R Merz, A Miniussi Environmental Research Letters 16 (12), 124065, 2021 | 12 | 2021 |
| More complex is not necessarily better in large-scale hydrological modeling: a model complexity experiment across the contiguous United States R Merz, A Miniussi, S Basso, KJ Petersen, L Tarasova Bulletin of the American Meteorological Society 103 (8), E1947-E1967, 2022 | 6 | 2022 |
| Identifying discontinuities of flood frequency curves A Miniussi, R Merz, L Kaule, S Basso Journal of Hydrology 617, 128989, 2023 | 3 | 2023 |
| Prediction of extraordinarily high floods emerging from heterogeneous flow generation processes S Mushtaq, A Miniussi, R Merz, L Tarasova, F Marra, S Basso Geophysical Research Letters 50 (20), e2023GL105429, 2023 | 2 | 2023 |
| Foreseeing the propensity of rivers to extreme floods S Basso, R Merz, L Tarasova, A Miniussi EGU General Assembly Conference Abstracts, EGU-2000, 2023 | | 2023 |
| Combining runoff generating mechanisms and the Metastatistical Extreme Value approach to predict extreme floods in catchments with strong discontinuities in the flood frequency … S Mushtaq, A Miniussi, R Merz, L Tarasova, F Marra, S Basso EGU General Assembly Conference Abstracts, EGU-6716, 2023 | | 2023 |
| More Complex is Not Necessarily Better in Large-Scale Hydrological Modeling R Merz, A Miniussi, S Basso, L Tarasova EGU General Assembly Conference Abstracts, EGU-2008, 2023 | | 2023 |
| Identifying discontinuities of flood frequency curves A Miniussi, R Merz, L Kaule, S Basso Authorea Preprints, 2022 | | 2022 |
| Extreme flooding foretold by stream network organization and flow regime S Basso, R Merz, L Tarasova, A Miniussi | | 2022 |
| The Physically-Based Extreme Value (PHEV) distribution of river discharges S Basso, G Botter, R Merz, A Miniussi EGU General Assembly Conference Abstracts, EGU22-3060, 2022 | | 2022 |
| Risky rivers: physioclimatic controls of basins' penchant for extreme floods S Basso, R Merz, A Miniussi IAHS2022, 2022 | | 2022 |
| Do Changing Flood Generation Processes Promote the Occurrence of Flood Anomalies in Europe? L Tarasova, D Lun, G Bloeschl, S Basso, A Miniussi, M Bertola, R Kumar, ... AGU Fall Meeting Abstracts 2021, H41J-03, 2021 | | 2021 |
| How to a priori select ordinary distributions in flood frequency analysis when applying the Metastatistical Extreme Value approach S Mushtaq, A Miniussi, R Merz, S Basso EGU General Assembly Conference Abstracts, EGU21-3003, 2021 | | 2021 |
Marco MaraniUniversity of Padova and Duke University在 unipd.it 的电子邮件经过验证
