| 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 |
| Paper | Statistical downscaling with the downscaleR package (v3.1.0): Contribution to the VALUE intercomparison experiment | 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 |
| Conference contribution | On the suitability of convolutional neural networks for climate downscaling | 2019 |
| Paper | The VALUE perfect predictor experiment: evaluation of temporal variability | 2019 |
| Paper | Comparison of statistical downscaling methods with respect to extreme events over Europe: Validation results from the perfect predictor experiment of the COST Action VALUE | 2019 |
| Conference contribution | Reproducible Statistical Downscaling with the climate4R R-Based Framework: The downscaleR package | 2019 |
