| Configuration and intercomparison of deep learning neural models for statistical downscaling J Baño-Medina, R Manzanas, JM Gutiérrez Geoscientific Model Development 13 (4), 2109-2124, 2020 | 177 | 2020 |
| The R-based climate4R open framework for reproducible climate data access and post-processing M Iturbide, J Bedia, S Herrera, J Baño-Medina, J Fernández, MD Frías, ... Environmental Modelling & Software 111, 42-54, 2019 | 124 | 2019 |
| Statistical downscaling with the downscaleR package (v3. 1.0): contribution to the VALUE intercomparison experiment J Bedia, J Baño-Medina, MN Legasa, M Iturbide, R Manzanas, S Herrera, ... Geoscientific Model Development 13 (3), 1711-1735, 2020 | 64 | 2020 |
| On the suitability of deep convolutional neural networks for continental-wide downscaling of climate change projections J Baño-Medina, R Manzanas, JM Gutiérrez Climate Dynamics 57 (11), 2941-2951, 2021 | 49 | 2021 |
| Downscaling multi-model climate projection ensembles with deep learning (DeepESD): Contribution to CORDEX EUR-44 J Baño-Medina, R Manzanas, E Cimadevilla, J Fernández, ... Geoscientific Model Development Discussions 2022, 1-14, 2022 | 38 | 2022 |
| Implementation of FAIR principles in the IPCC: the WGI AR6 Atlas repository M Iturbide, J Fernández, JM Gutiérrez, A Pirani, D Huard, A Al Khourdajie, ... Scientific data 9 (1), 629, 2022 | 31 | 2022 |
| The worldwide C3S CORDEX grand ensemble: a major contribution to assess regional climate change in the IPCC AR6 atlas J Diez-Sierra, M Iturbide, JM Gutiérrez, J Fernández, J Milovac, AS Cofiño, ... Bulletin of the American Meteorological Society 103 (12), E2804-E2826, 2022 | 22 | 2022 |
| Using explainability to inform statistical downscaling based on deep learning beyond standard validation approaches J González‐Abad, J Baño‐Medina, JM Gutiérrez Journal of Advances in Modeling Earth Systems 15 (11), e2023MS003641, 2023 | 15 | 2023 |
| Enhancing Regional Climate Downscaling through Advances in Machine Learning N Rampal, S Hobeichi, PB Gibson, J Baño-Medina, G Abramowitz, ... Artificial Intelligence for the Earth Systems 3 (2), 230066, 2024 | 9 | 2024 |
| On the use of convolutional neural networks for downscaling daily temperatures over southern South America in a climate change scenario R Balmaceda-Huarte, J Baño-Medina, ME Olmo, ML Bettolli Climate Dynamics 62 (1), 383-397, 2024 | 6 | 2024 |
| Transferability and explainability of deep learning emulators for regional climate model projections: Perspectives for future applications J Baño-Medina, M Iturbide, J Fernández, JM Gutiérrez Artificial Intelligence for the Earth Systems 3 (4), e230099, 2024 | 4 | 2024 |
| Downscaling CORDEX through deep learning to daily 1 km multivariate ensemble in complex terrain D Quesada‐Chacón, J Baño‐Medina, K Barfus, C Bernhofer Earth's Future 11 (8), e2023EF003531, 2023 | 4 | 2023 |
| Towards calibrated ensembles of neural weather model forecasts J Baño-Medina, A Sengupta, D Watson-Parris, W Hu, L Delle Monache Authorea Preprints, 2024 | 3 | 2024 |
| Optimization of Convolutional Neural Network models for spatially coherent multi-site fire danger predictions Ó Mirones, J Baño-Medina, M Santa Cruz, S Brands Authorea Preprints, 2023 | 1 | 2023 |
| Harnessing AI data-driven global weather models for climate attribution: An analysis of the 2017 Oroville Dam extreme atmospheric river J Baño-Medina, A Sengupta, A Michaelis, LD Monache, J Kalansky, ... arXiv preprint arXiv:2409.11605, 2024 | | 2024 |
