| Artificial intelligence reconstructs missing climate information C Kadow, DM Hall, U Ulbrich Nature Geoscience 13 (6), 408-413, 2020 | 139 | 2020 |
| Towards neural Earth system modelling by integrating artificial intelligence in Earth system science C Irrgang, N Boers, M Sonnewald, EA Barnes, C Kadow, J Staneva, ... Nature Machine Intelligence 3 (8), 667-674, 2021 | 135 | 2021 |
| Improved forecast skill in the tropics in the new MiKlip decadal climate predictions H Pohlmann, WA Mueller, K Kulkarni, M Kameswarrao, D Matei, ... Geophysical Research Letters 40 (21), 5798-5802, 2013 | 112 | 2013 |
| MiKlip: A national research project on decadal climate prediction J Marotzke, WA Müller, FSE Vamborg, P Becker, U Cubasch, H Feldmann, ... Bulletin of the American Meteorological Society 97 (12), 2379-2394, 2016 | 107 | 2016 |
| Earth System Model Evaluation Tool (ESMValTool) v2. 0–an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP V Eyring, L Bock, A Lauer, M Righi, M Schlund, B Andela, E Arnone, ... Geoscientific Model Development 13 (7), 3383-3438, 2020 | 81 | 2020 |
| Indicators of Global Climate Change 2022: Annual update of large-scale indicators of the state of the climate system and the human influence PM Forster, CJ Smith, T Walsh, WF Lamb, MD Palmer, K von Schuckmann, ... Earth System Science Data Discussions 2023, 1-82, 2023 | 76 | 2023 |
| Decadal hindcasts initialized using observed surface wind stress: Evaluation and prediction out to 2024 M Thoma, RJ Greatbatch, C Kadow, R Gerdes Geophysical Research Letters 42 (15), 6454-6461, 2015 | 61 | 2015 |
| The impact of stratospheric volcanic aerosol on decadal‐scale climate predictions C Timmreck, H Pohlmann, S Illing, C Kadow Geophysical Research Letters 43 (2), 834-842, 2016 | 56 | 2016 |
| Probabilistic evaluation of decadal prediction skill regarding Northern Hemisphere winter storms T Kruschke, HW Rust, C Kadow, WA Müller, H Pohlmann, GC Leckebusch, ... | 55 | 2015 |
| Evaluation of forecasts by accuracy and spread in the MiKlip decadal climate prediction system C Kadow, S Illing, O Kunst, HW Rust, H Pohlmann, WA MüLLER, ... | 40 | 2015 |
| Global climate change and aspects of regional climate change in the Berlin-Brandenburg region U Cubasch, C Kadow Die Erde 142, 3-20, 2019 | 39 | 2019 |
| MurCSS: A tool for standardized evaluation of decadal hindcast systems S Illing, C Kadow, K Oliver, U Cubasch Journal of Open Research Software 2 (1), e24-e24, 2014 | 36 | 2014 |
| Initialization and ensemble generation for decadal climate predictions: A comparison of different methods I Polkova, S Brune, C Kadow, V Romanova, G Gollan, J Baehr, ... Journal of Advances in Modeling Earth Systems 11 (1), 149-172, 2019 | 35 | 2019 |
| Evaluating decadal predictions of northern hemispheric cyclone frequencies T Kruschke, HW Rust, C Kadow, GC Leckebusch, U Ulbrich Tellus A: Dynamic Meteorology and Oceanography 66 (1), 22830, 2014 | 34 | 2014 |
| Decadal climate predictions improved by ocean ensemble dispersion filtering C Kadow, S Illing, I Kröner, U Ulbrich, U Cubasch Journal of Advances in Modeling Earth Systems 9 (2), 1138-1149, 2017 | 20 | 2017 |
| Introduction to Freva-A Free Evaluation System Framework for Earth System Modeling. C Kadow, S Illing, EE Lucio-Eceiza, M Bergemann, M Ramadoss, ... Journal of Open Research Software 9 (1), 2021 | 15 | 2021 |
| Artificial intelligence reconstructs missing climate information, Nat. Geosci., 13, 408–413 C Kadow, DM Hall, U Ulbrich | 15 | 2020 |
| Assessing the impact of a future volcanic eruption on decadal predictions S Illing, C Kadow, H Pohlmann, C Timmreck Earth System Dynamics 9 (2), 701-715, 2018 | 14 | 2018 |
| Analysis, characterization, prediction and attribution of extreme atmospheric events with machine learning: a review S Salcedo-Sanz, J Pérez-Aracil, G Ascenso, J Del Ser, D Casillas-Pérez, ... arXiv preprint arXiv:2207.07580, 2022 | 12 | 2022 |
| ESMValTool v2. 0–Extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP V Eyring, L Bock, A Lauer, M Righi, M Schlund, B Andela, E Arnone, ... Geoscientific Model Development Discussions 2019, 1-81, 2019 | 12 | 2019 |
