| Paper | On the suitability of deep convolutional neural networks for continental-wide downscaling of climate change projections | 2021 |
| Conference contribution | From daily to sub-daily climate projections: Increasing the temporal resolution by means of statistical downscaling | 2021 |
| Paper | Climate change projections of temperature and precipitation in Chile based on statistical downscaling | 2020 |
| Paper | Statistical downscaling or bias adjustment? A case study involving implausible climate change projections of precipitation in Malawi | 2020 |
| Paper | Statistical adjustment, calibration and downscaling of seasonal forecasts: a case-study for Southeast Asia | 2020 |
| Conference contribution | Testing the Suitability of Tree-based Models for Climate Statistical Downscaling | 2020 |
| Paper | Statistical downscaling with the downscaleR package (v3.1.0): Contribution to the VALUE intercomparison experiment | 2020 |
| Conference contribution | Deep Learning for Statistical Downscaling of Climate Change Projections over Europe | 2020 |
| Paper | Configuration and intercomparison of deep learning neural models for statistical downscaling | 2020 |
| Paper | Validation of spatial variability in downscaling results from the VALUE perfect predictor experiment | 2019 |
