| RainNet v1. 0: a convolutional neural network for radar-based precipitation nowcasting G Ayzel, T Scheffer, M Heistermann Geoscientific Model Development 13 (6), 2631-2644, 2020 | 276* | 2020 |
| Optical flow models as an open benchmark for radar-based precipitation nowcasting (rainymotion v0. 1) G Ayzel, M Heistermann, T Winterrath Geoscientific Model Development 12 (4), 1387-1402, 2019 | 167* | 2019 |
| All convolutional neural networks for radar-based precipitation nowcasting G Ayzel, M Heistermann, A Sorokin, O Nikitin, O Lukyanova Procedia Computer Science 150, 186-192, 2019 | 109 | 2019 |
| The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset G Ayzel, M Heistermann Computers & Geosciences 149, 104708, 2021 | 80 | 2021 |
| Towards urban flood susceptibility mapping using data-driven models in Berlin, Germany O Seleem, G Ayzel, ACT de Souza, A Bronstert, M Heistermann Geomatics, Natural Hazards and Risk 13 (1), 1640-1662, 2022 | 44 | 2022 |
| Modeling streamflow of the Olenek and Indigirka rivers using land surface model SWAP GV Gusev, E. M. Nasonova, O. N. Dzhogan, L. Ya. Ayzel Water Resources 40 (5), 535-543, 2013 | 27* | 2013 |
| Development of a regional gridded runoff dataset using long short-term memory (LSTM) networks G Ayzel, L Kurochkina, D Abramov, S Zhuravlev Hydrology 8 (1), 6, 2021 | 26 | 2021 |
| Climate change impact assessment on freshwater inflow into the Small Aral Sea G Ayzel, A Izhitskiy Water 11 (11), 2377, 2019 | 26 | 2019 |
| OpenForecast: The first open-source operational runoff forecasting system in Russia G Ayzel, N Varentsova, O Erina, D Sokolov, L Kurochkina, V Moreydo Water 11 (8), 1546, 2019 | 24 | 2019 |
| Modelling river runoff and estimating its weather-related uncertainty for 11 large-scale rivers located in different regions of the globe YM Gusev, ON Nasonova, EE Kovalev, GV Aizel Hydrology Research 49 (4), 1072-1087, 2018 | 24 | 2018 |
| River runoff evaluation for ungauged watersheds by SWAP model. 2. Application of methods of physiographic similarity and spatial geostatistics GV Ayzel, EM Gusev, ON Nasonova Water Resources 44, 547-558, 2017 | 24* | 2017 |
| RainNet v1. 0: a convolutional neural network for radar-based precipitation nowcasting, Geosci. Model Dev., 13, 2631–2644, 10.5194 G Ayzel, T Scheffer, M Heistermann gmd-13-2631-2020, 2020 | 23 | 2020 |
| Simulating the formation of river runoff and snow cover in the northern West Siberia EM Gusev, ON Nasonova, LY Dzhogan, GV Ayzel Water resources 42, 460-467, 2015 | 22* | 2015 |
| Machine learning identifies ecological selectivity patterns across the end-Permian mass extinction WJ Foster, G Ayzel, J Münchmeyer, T Rettelbach, NH Kitzmann, TT Isson, ... Paleobiology 48 (3), 357-371, 2022 | 20 | 2022 |
| Transferability of data-driven models to predict urban pluvial flood water depth in Berlin, Germany O Seleem, G Ayzel, A Bronstert, M Heistermann Natural Hazards and Earth System Sciences Discussions 2022, 1-23, 2022 | 19 | 2022 |
| Streamflow prediction in ungauged basins: benchmarking the efficiency of deep learning G Ayzel, L Kurochkina, E Kazakov, S Zhuravlev E3S Web of Conferences 163, 01001, 2020 | 18 | 2020 |
| Optimizing land surface parameters for simulating river runoff from 323 MOPEX-watersheds ON Nasonova, EM Gusev, GV Ayzel Water Resources 42, 186-197, 2015 | 18* | 2015 |
| Coupling physically based and data-driven models for assessing freshwater inflow into the Small Aral Sea G Ayzel, A Izhitskiy Proceedings of the International Association of Hydrological Sciences (PIAHS …, 2019 | 17 | 2019 |
| Runoff predictions in ungauged Arctic basins using conceptual models forced by reanalysis data GV Ayzel Water Resources 45, 1-7, 2018 | 17 | 2018 |
| The influence of regional hydrometric data incorporation on the accuracy of gridded reconstruction of monthly runoff G Ayzel, L Kurochkina, S Zhuravlev Hydrological Sciences Journal 67 (16), 2429-2440, 2022 | 16 | 2022 |
Alexander S. IzhitskiyShirshov Institute of Oceanology, Russian Academy of SciencesVerified email at ocean.ru