| Statistical Postprocessing for Weather Forecasts: Review, Challenges, and Avenues in a Big Data World S Vannitsem, JB Bremnes, J Demaeyer, GR Evans, J Flowerdew, S Hemri, ... Bulletin of the American Meteorological Society 102 (3), E681-E699, 2021 | 190 | 2021 |
| Somewhere over the rainbow: How to make effective use of colors in meteorological visualizations R Stauffer, GJ Mayr, M Dabernig, A Zeileis Bulletin of the American Meteorological Society 96 (2), 203-216, 2015 | 112 | 2015 |
| Spatial ensemble post‐processing with standardized anomalies M Dabernig, GJ Mayr, JW Messner, A Zeileis Quarterly Journal of the Royal Meteorological Society 143 (703), 909-916, 2017 | 68 | 2017 |
| The EUPPBench postprocessing benchmark dataset v1. 0 J Demaeyer, J Bhend, S Lerch, C Primo, B Van Schaeybroeck, A Atencia, ... Earth System Science Data 15 (6), 2635-2653, 2023 | 17 | 2023 |
| Predicting wind power with reforecasts M Dabernig, GJ Mayr, JW Messner Weather and Forecasting 30 (6), 1655-1662, 2015 | 14 | 2015 |
| Analog‐based post‐processing of the ALADIN‐LAEF ensemble predictions in complex terrain IO Plenković, I Schicker, M Dabernig, K Horvath, E Keresturi Quarterly Journal of the Royal Meteorological Society, 2020 | 10 | 2020 |
| Statistical Post-Processing with Standardized Anomalies Based on a 1 km Gridded Analysis M Dabernig, I Schicker, A Kann, Y Wang, MN Lang Meteorologische Zeitschrift, 265-275, 2020 | 8 | 2020 |
| Seamless probabilistic analysis and forecasting: from minutes to days ahead A Kann, Y Wang, A Atencia, N Awan, M Dabernig, J Kemetmüller, F Meier, ... EGU General Assembly Conference Abstracts, 7962, 2018 | 6 | 2018 |
| Comparison of different numerical weather prediction models as input for statistical wind power forecasts M Dabernig University of Innsbruck, 2013 | 6 | 2013 |
| Simultaneous Ensemble Postprocessing for Multiple Lead Times with Standardized Anomalies M Dabernig, GJ Mayr, JW Messner, A Zeileis Monthly Weather Review 145 (7), 2523-2531, 2017 | 5 | 2017 |
| Statistical Post-Processing with Standardized Anomalies and Variable Selection for Wind Farm Forecasts M Dabernig, A Kann, I Schicker EGU General Assembly Conference Abstracts, 16810, 2020 | | 2020 |
| Ensemble post-processing with an analog-based approach IO Plenkovic, I Schicker, M Dabernig, K Horvath | | 2019 |
| Highly resolved spatial temperature and precipitation calibrations of ensemble forecasts for Austria with standardized anomalies I Schicker, M Lang, M Dabernig, A Kann, Y Wang EGU General Assembly Conference Abstracts, 13223, 2018 | | 2018 |
| Simultaneous Ensemble Post-Processing for Multiple Seasons and Lead Times with GAMLSS M Dabernig, GJ Mayr, JW Messner, T Simon, A Zeileis EGU General Assembly Conference Abstracts, 12281, 2018 | | 2018 |
| SOMEWHERE OVER THE RAINBOW R STAUFFER, GJ MAYR, M DABERNIG, A ZEILEIS | | 2015 |
| Escaping RGBland: How to make effective use of colors in meteorological visualizations R Stauffer, A Zeileis, GJ Mayr, M Dabernig | | 2013 |
Georg J. MayrProfessor of Atmospheric Science, University of InnsbruckVerified email at uibk.ac.at
