Thordis L. Thorarinsdottir
Thordis L. Thorarinsdottir
Norwegian Computing Center
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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
Uncertainty quantification in complex simulation models using ensemble copula coupling
R Schefzik, TL Thorarinsdottir, T Gneiting
Statistical science 28 (4), 616-640, 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
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
Forecaster's dilemma: Extreme events and forecast evaluation
S Lerch, TL Thorarinsdottir, F Ravazzolo, T Gneiting
Statistical Science, 106-127, 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
Ensemble model output statistics for wind vectors
N Schuhen, TL Thorarinsdottir, T Gneiting
Monthly Weather Review 140 (10), 3204-3219, 2012
Comparison of nonhomogeneous regression models for probabilistic wind speed forecasting
S Lerch, TL Thorarinsdottir
Tellus A 65, 21206, 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
Bayesian hierarchical modeling of extreme hourly precipitation in Norway
AV Dyrrdal, A Lenkoski, TL Thorarinsdottir, F Stordal
Environmetrics 26 (2), 89-106, 2015
Forecasting: theory and practice
F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ...
International Journal of Forecasting, 2022
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
Predictive inference based on Markov chain Monte Carlo output
F Krüger, S Lerch, T Thorarinsdottir, T Gneiting
International Statistical Review 89 (2), 274-301, 2021
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
Probabilistic wind gust forecasting using nonhomogeneous Gaussian regression
TL Thorarinsdottir, MS Johnson
Monthly Weather Review 140 (3), 889-897, 2012
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
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
Verification: assessment of calibration and accuracy
TL Thorarinsdottir, N Schuhen
Statistical postprocessing of ensemble forecasts, 155-186, 2018
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
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
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