| Flood forecasting with machine learning models in an operational framework S Nevo, E Morin, A Gerzi Rosenthal, A Metzger, C Barshai, D Weitzner, ... Hydrology and Earth System Sciences 26 (15), 4013-4032, 2022 | 142 | 2022 |
| Global prediction of extreme floods in ungauged watersheds G Nearing, D Cohen, V Dube, M Gauch, O Gilon, S Harrigan, A Hassidim, ... Nature 627 (8004), 559-563, 2024 | 69 | 2024 |
| Hydronets: Leveraging river structure for hydrologic modeling Z Moshe, A Metzger, G Elidan, F Kratzert, S Nevo, R El-Yaniv arXiv preprint arXiv:2007.00595, 2020 | 43 | 2020 |
| Flood frequency estimation and uncertainty in arid/semi-arid regions A Metzger, F Marra, JA Smith, E Morin Journal of Hydrology 590, 125254, 2020 | 38 | 2020 |
| Hydrometeorological analysis and forecasting of a 3 d flash-flood-triggering desert rainstorm Y Rinat, F Marra, M Armon, A Metzger, Y Levi, P Khain, E Vadislavsky, ... Natural Hazards and Earth System Sciences 21 (3), 917-939, 2021 | 23 | 2021 |
| AI increases global access to reliable flood forecasts G Nearing, D Cohen, V Dube, M Gauch, O Gilon, S Harrigan, A Hassidim, ... arXiv preprint arXiv:2307.16104, 2023 | 11 | 2023 |
| Accurate hydrologic modeling using less information G Shalev, R El-Yaniv, D Klotz, F Kratzert, A Metzger, S Nevo arXiv preprint arXiv:1911.09427, 2019 | 8 | 2019 |
| Hydrometeorological analysis and forecasting of a 3-day flash-flood-triggering desert rainstorm Y Rinat, F Marra, M Armon, A Metzger, Y Levi, P Khain, E Vadislavsky, ... Natural Hazards and Earth System Sciences Discussions 2020, 1-35, 2020 | 6 | 2020 |
| Hydronets: Leveraging river structure for hydrologic modeling, arXiv Z Moshe, A Metzger, G Elidan, F Kratzert, S Nevo, R El-Yaniv arXiv preprint arXiv:2007.00595 1, 2020 | 5 | 2020 |
| Towards flood warnings everywhere-data-driven rainfall-runoff modeling at global scale F Kratzert, M Gauch, D Klotz, A Metzger, G Nearing, G Shalev, S Shenzis, ... AGU Fall Meeting Conference Abstracts, Pp. GC12A 4, 2022 | 3 | 2022 |
| From Hindcast to Forecast with Deep Learning Streamflow Models G Nearing, M Gauch, D Klotz, F Kratzert, A Metzger, G Shalev, S Shenzis, ... EGU General Assembly Conference Abstracts, EGU-16974, 2023 | 1 | 2023 |
| HydroNets: Leveraging River Network Structure and Deep Neural Networks for Hydrologic Modeling Z Moshe, A Metzger, F Kratzert, E Morin, S Nevo, G Elidan, R Elyaniv EGU General Assembly Conference Abstracts, 4135, 2020 | 1 | 2020 |
| Deep Learning for Spatially Distributed Rainfall–Runoff Modeling M Gauch, F Kratzert, V Dube, O Gilon, D Klotz, A Metzger, G Nearing, ... EGU24, 2024 | | 2024 |
| Global Flood Forecasting at a Fine Catchment Resolution using Machine Learning A Metzger, O Gilon, F Kratzert, GS Nearing, S Nevo, G Shalev, S Shenzis, ... AGU Fall Meeting Abstracts 2022, H52C-01, 2022 | | 2022 |
| Quantifying and interpreting the value of precipitation input into data-driven models for river flood forecasting E Morin, C Gazen, G Shalev, GS Nearing, Z Moshe, O Reich, A Metzger, ... 101st American Meteorological Society Annual Meeting, 2021 | | 2021 |
| Google’s flood forecasting framework: connecting data, models, risks and people S Nevo, AG Rosenthal, A Metzger, D Weitzner, E Morin, G Elidan, ... AGU Fall Meeting 2020, 2020 | | 2020 |
| Google's flood forecasting framework: connecting data, models, risks and people E Morin, S Nevo, A Gerzi Rosenthal, A Metzger, D Weitzner, G Elidan, ... AGU Fall Meeting Abstracts 2020, H216-04, 2020 | | 2020 |
| Getting the most out of satellite-based precipitation data for forecasting river floods with deep neural networks E Morin, C Gazen, Z Moshe, O Reich, A Metzger, G Shalev, G Begelman, ... AGU Fall Meeting Abstracts 2020, H191-02, 2020 | | 2020 |
| How Google's Flood Forecasting Initiative Leverages Deep Learning Hydrologic Models A Metzger, Z Moshe, G Shalev, O Reich, Z Ben-Haim, V Anisimov, E Morin, ... EGU2020, 2020 | | 2020 |
