| Deep learning for improving numerical weather prediction of heavy rainfall P Hess, N Boers Journal of Advances in Modeling Earth Systems 14 (3), e2021MS002765, 2022 | 40 | 2022 |
| Physically constrained generative adversarial networks for improving precipitation fields from Earth system models P Hess, M Drüke, S Petri, FM Strnad, N Boers Nature Machine Intelligence 4 (10), 828-839, 2022 | 26 | 2022 |
| Deep Learning for bias-correcting comprehensive high-resolution Earth system models P Hess, S Lange, N Boers arXiv e-prints, arXiv: 2301.01253, 2022 | 4 | 2022 |
| Deep learning for improving numerical weather prediction of rainfall extremes P Hess, N Boers Authorea Preprints, 2022 | 2 | 2022 |
| Deep Learning for Bias‐Correcting CMIP6‐Class Earth System Models P Hess, S Lange, C Schötz, N Boers Earth's Future 11 (10), e2023EF004002, 2023 | 1 | 2023 |
| Physically constrained generative adversarial networks for improving earth system model precipitation output P Hess, M Drüke, S Petri, F Strnad, N Boers | 1 | 2022 |
| Conditional diffusion models for downscaling & bias correction of Earth system model precipitation M Aich, P Hess, B Pan, S Bathiany, Y Huang, N Boers arXiv preprint arXiv:2404.14416, 2024 | | 2024 |
| Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Foundation Models P Hess, M Aich, B Pan, N Boers arXiv preprint arXiv:2403.02774, 2024 | | 2024 |
| Reconstructing Historical Temperature Fields using Diffusion-based Generative Machine Learning C Burmester, P Hess, N Boers DKT-13, 2024 | | 2024 |
| Bias correction and downscaling of precipitation simulations from Earth system models with generative machine learning P Hess, M Gelbrecht, M Aich, B Pan, A White, S Bathiany, N Boers DKT-13, 2024 | | 2024 |
| Down-scaling and bias correction of precipitation with generative machine learning models M Aich, B Pan, P Hess, S Bathiany, Y Huang, N Boers DKT-13, 2024 | | 2024 |
| Downscaling precipitation simulations from Earth system models with generative deep learning P Hess Intelligence 4 (10), 828-839, 2024 | | 2024 |
| Improving global CMIP6 Earth system model precipitation output with generative adversarial networks for unpaired image-to-image translation P Hess, S Lange, N Boers EGU General Assembly Conference Abstracts, EGU-3128, 2023 | | 2023 |
| Constrained Generative Adversarial Networks for Improving Earth System Model Precipitation P Hess, M Drüke, S Petri, F Strnad, N Boers EGU General Assembly Conference Abstracts, EGU22-4923, 2022 | | 2022 |
| Inferring precipitation from atmospheric general circulation model variables P Hess, N Boers EGU General Assembly Conference Abstracts, EGU21-678, 2021 | | 2021 |
| Improving global high-resolution Earth sys-tem model simulations of precipitation with generative adversarial networks P Hess, S Lange, N Boers | | |
