| Can deep learning beat numerical weather prediction? MG Schultz, C Betancourt, B Gong, F Kleinert, M Langguth, LH Leufen, ... Philosophical Transactions of the Royal Society A 379 (2194), 20200097, 2021 | 298 | 2021 |
| IntelliO3-ts v1. 0: a neural network approach to predict near-surface ozone concentrations in Germany F Kleinert, LH Leufen, MG Schultz Geoscientific Model Development 14 (1), 1-25, 2021 | 33* | 2021 |
| Representing chemical history in ozone time-series predictions–a model experiment study building on the MLAir (v1. 5) deep learning framework F Kleinert, LH Leufen, A Lupascu, T Butler, MG Schultz Geoscientific Model Development Discussions, 1-27, 2022 | 5 | 2022 |
| Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-hour average ozone prediction LH Leufen, F Kleinert, MG Schultz Environmental Data Science 1, 2022 | 5 | 2022 |
| MLAir (v1. 0)–a tool to enable fast and flexible machine learning on air data time series LH Leufen, F Kleinert, MG Schultz Geoscientific Model Development 14 (3), 1553-1574, 2021 | 5 | 2021 |
| A web service architecture for objective station classification purposes MG Schultz, S Apweiler, J Vogelsang, B Hagemeier, F Kleinert, ... 2018 IEEE 14th International Conference on e-Science (e-Science), 283-284, 2018 | 2 | 2018 |
| Representing chemical history for ozone time-series predictions-a method development study for deep learning models F Kleinert, LH Leufen, A Lupascu, T Butler, MG Schultz EGU21, 2021 | 1 | 2021 |
| A New Tool for Automated Quality Control of Environmental Time Series (AutoQC4Env) in Open Web Services N Kaffashzadeh, F Kleinert, MG Schultz International Conference on Business Information Systems, 513-518, 2019 | 1 | 2019 |
| A New Tool for Automated Quality Control of Environmental Data in Open Web Services N Kaffashzadeh, F Kleinert, MG Schultz EasyChair, 2019 | | 2019 |
| Near Surface Ozone Predictions Based on Multiple Artificial Neural Network Architectures. F Kleinert, B Gong, M Götz, MG Schultz Geophysical Research Abstracts 21, 2019 | | 2019 |
| Prediction of Daily Maximum Ozone Threshold Exceedances by Artificial Intelligence Techniques in Germany B Gong, M Schultz, F Kleinert EGU General Assembly 2019, 2019 | | 2019 |
| DeepRain–Improved local-scale prediction of precipitation through deep learning. M Schultz, F Kleinert, L Leufen, J Ahring, S Theis, J Keller, G Pipa, ... Geophysical Research Abstracts 21, 2019 | | 2019 |
| Near Surface Ozone Predictions Based on Convolutional Neural Networks F Kleinert Meteorological Institute, University Bonn, 2018 | | 2018 |
| Strahlungseffekte und Transport von vulkanischem Aerosol am Beispiel des Eyjafjallajökull F Kleinert Rheinische Friedrich-Wilhelms-Universität Bonn, 2016 | | 2016 |
Martin SchultzGroup leader Earth System Data Exploration, Jülich Supercomputing Centre, Forschungszentrum JülichVerified email at fz-juelich.de
