| Paper | The R-based climate4R open framework for reproducible climate data access and post-processing | 2019 |
| Paper | Validation of spatial variability in downscaling results from the VALUE perfect predictor experiment | 2019 |
| Conference contribution | Process-conditioned bias correction for seasonal forecasting: A case-study with ENSO in Peru | 2018 |
| Paper | An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross-validation experiment | 2018 |
| Conference contribution | Bias Correction Intercomparison Project: Applying an ensemble of bias - adjustment methods | 2018 |
| Conference contribution | DownscaleR: An R-based package for statistical downscaling and bias correction within the climate4R framework | 2018 |
| Paper | The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services | 2018 |
| Conference contribution | Percentile adjustment function: application to direct and component-wise bias correction of a multi-variate climate index | 2018 |
| Paper | Process-conditioned bias correction for seasonal forecasting: A case-study with ENSO in Peru | 2018 |
| Paper | Direct and component-wise bias correction of multi-variate climate indices: the percentile adjustment function diagnostic tool | 2018 |
