| Probabilistic forecasts of wind speed: Ensemble model output statistics by using heteroscedastic censored regression TL Thorarinsdottir, T Gneiting Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2010 | 219 | 2010 |
| Uncertainty quantification in complex simulation models using ensemble copula coupling R Schefzik, TL Thorarinsdottir, T Gneiting Statistical science 28 (4), 616-640, 2013 | 194 | 2013 |
| Multivariate probabilistic forecasting using ensemble Bayesian model averaging and copulas A Möller, A Lenkoski, TL Thorarinsdottir Quarterly Journal of the Royal Meteorological Society 139 (673), 982-991, 2013 | 110 | 2013 |
| Understanding, modeling and predicting weather and climate extremes: Challenges and opportunities J Sillmann, T Thorarinsdottir, N Keenlyside, N Schaller, LV Alexander, ... Weather and climate extremes 18, 65-74, 2017 | 107 | 2017 |
| Forecast verification for extreme value distributions with an application to probabilistic peak wind prediction P Friederichs, TL Thorarinsdottir Environmetrics 23 (7), 579-594, 2012 | 97 | 2012 |
| Ensemble model output statistics for wind vectors N Schuhen, TL Thorarinsdottir, T Gneiting Monthly Weather Review 140 (10), 3204-3219, 2012 | 89 | 2012 |
| Forecaster's dilemma: Extreme events and forecast evaluation S Lerch, TL Thorarinsdottir, F Ravazzolo, T Gneiting Statistical Science, 106-127, 2017 | 85 | 2017 |
| Comparison of nonhomogeneous regression models for probabilistic wind speed forecasting S Lerch, TL Thorarinsdottir Tellus A 65, 21206, 2013 | 77 | 2013 |
| Spatial postprocessing of ensemble forecasts for temperature using nonhomogeneous Gaussian regression K Feldmann, M Scheuerer, TL Thorarinsdottir Monthly Weather Review 143 (3), 955-971, 2015 | 76 | 2015 |
| Bayesian hierarchical modeling of extreme hourly precipitation in Norway AV Dyrrdal, A Lenkoski, TL Thorarinsdottir, F Stordal Environmetrics 26 (2), 89-106, 2015 | 60 | 2015 |
| Assessing the calibration of high-dimensional ensemble forecasts using rank histograms TL Thorarinsdottir, M Scheuerer, C Heinz Journal of computational and graphical statistics 25 (1), 105-122, 2016 | 57 | 2016 |
| Using proper divergence functions to evaluate climate models TL Thorarinsdottir, T Gneiting, N Gissibl SIAM/ASA Journal on Uncertainty Quantification 1 (1), 522-534, 2013 | 52 | 2013 |
| Probabilistic wind gust forecasting using nonhomogeneous Gaussian regression TL Thorarinsdottir, MS Johnson Monthly Weather Review 140 (3), 889-897, 2012 | 48 | 2012 |
| Predictive inference based on Markov chain Monte Carlo output F Krüger, S Lerch, T Thorarinsdottir, T Gneiting International Statistical Review, 2020 | 36* | 2020 |
| Gaussian random particles with flexible Hausdorff dimension LV Hansen, TL Thorarinsdottir, E Ovcharov, T Gneiting, D Richards Advances in Applied Probability 47 (2), 307-327, 2015 | 36* | 2015 |
| A framework for benchmarking of homogenisation algorithm performance on the global scale K Willett, C Williams, IT Jolliffe, R Lund, LV Alexander, S Brönnimann, ... Geoscientific Instrumentation, Methods and Data Systems 3 (2), 187-200, 2014 | 31 | 2014 |
| New vigour involving statisticians to overcome ensemble fatigue R Benestad, J Sillmann, TL Thorarinsdottir, P Guttorp, MS Mesquita, ... Nature Climate Change 7 (10), 697-703, 2017 | 22 | 2017 |
| Propagation of rating curve uncertainty in design flood estimation GH Steinbakk, TL Thorarinsdottir, T Reitan, L Schlichting, S Hølleland, ... Water Resources Research 52 (9), 6897-6915, 2016 | 22 | 2016 |
| Predicting inflation: Professional experts versus no-change forecasts T Gneiting, TL Thorarinsdottir arXiv preprint arXiv:1010.2318, 2010 | 19 | 2010 |
| Verification: assessment of calibration and accuracy TL Thorarinsdottir, N Schuhen Statistical postprocessing of ensemble forecasts, 155-186, 2018 | 18 | 2018 |
Tilmann GneitingHeidelberg Institute for Theoretical Studies (HITS), Karlsruhe Institute of Technology (KIT)Geverifieerd e-mailadres voor h-its.org
