colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes A Zeileis, JC Fisher, K Hornik, R Ihaka, CD McWhite, P Murrell, R Stauffer, ... arXiv preprint arXiv:1903.06490, 2019 | 171 | 2019 |
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 | 122 | 2015 |
Distributional regression forests for probabilistic precipitation forecasting in complex terrain L Schlosser, T Hothorn, R Stauffer, A Zeileis The Annals of Applied Statistics 13 (3), 1564-1589, 2019 | 89 | 2019 |
Spatio‐temporal precipitation climatology over complex terrain using a censored additive regression model R Stauffer, GJ Mayr, JW Messner, N Umlauf, A Zeileis International Journal of Climatology 37 (7), 3264, 2017 | 62 | 2017 |
Wind speeds at heights crucial for wind energy: Measurements and verification of forecasts S Drechsel, GJ Mayr, JW Messner, R Stauffer Journal of Applied Meteorology and Climatology 51 (9), 1602-1617, 2012 | 62 | 2012 |
Ensemble postprocessing of daily precipitation sums over complex terrain using censored high-resolution standardized anomalies R Stauffer, N Umlauf, JW Messner, GJ Mayr, A Zeileis Monthly Weather Review 145 (3), 955-969, 2017 | 49 | 2017 |
Remember the past: a comparison of time-adaptive training schemes for non-homogeneous regression MN Lang, S Lerch, GJ Mayr, T Simon, R Stauffer, A Zeileis Nonlinear Processes in Geophysics 27 (1), 23-34, 2020 | 47 | 2020 |
Circular regression trees and forests with an application to probabilistic wind direction forecasting MN Lang, L Schlosser, T Hothorn, GJ Mayr, R Stauffer, A Zeileis Journal of the Royal Statistical Society: Series C (Applied Statistics) 69 …, 2020 | 21 | 2020 |
Bivariate Gaussian models for wind vectors in a distributional regression framework MN Lang, GJ Mayr, R Stauffer, A Zeileis Advances in Statistical Climatology, Meteorology and Oceanography 5 (2), 115-132, 2019 | 16 | 2019 |
The ecwmfr package: an interface to ECMWF API endpoints K Hufkens, R Stauffer, E Campitelli Zenodo, 2019 | 16 | 2019 |
Skewed logistic distribution for statistical temperature post-processing in mountainous areas M Gebetsberger, R Stauffer, GJ Mayr, A Zeileis Faculty of Economics and Statistics, University of Innsbruck, 2018 | 16 | 2018 |
Colorspace: A toolbox for manipulating and assessing colors and palettes R Ihaka, P Murrell, K Hornik, JC Fisher, R Stauffer, CO Wilke, CD McWhite, ... R package version, 1.4-0, 2019 | 14 | 2019 |
colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes, arXiv 1903.06490, arXiv. org E-Print Archive A Zeileis, JC Fisher, K Hornik, R Ihaka, CD McWhite, P Murrell, R Stauffer, ... URL http://arxiv. org/abs, 1903 | 13 | 1903 |
Brief communication" Spatial and temporal variation of wind power at hub height over Europe" S Gisinger, GJ Mayr, JW Messner, R Stauffer Nonlinear Processes in Geophysics 20 (3), 305-310, 2013 | 7 | 2013 |
Lower boundary wind speeds: Measurements and verification of forecasts S Drechsel, GJ Mayr, JW Messner, R Stauffer J. Appl. Meteor. Climatol 51, 1602-1617, 2012 | 6 | 2012 |
Hourly Probabilistic Snow Forecasts over Complex Terrain: A Hybrid Ensemble Postprocessing Approach R Stauffer, GJ Mayr, JW Messner, A Zeileis Faculty of Economics and Statistics, University of Innsbruck Working Papers, 2018 | 5 | 2018 |
Probabilistic foehn forecasting for the Gotthard region based on model output statistics L Zweifel, G Mayr, R Stauffer MS thesis, Faculty of Geo-and Atmospheric Sciences, University of Innsbruck …, 2016 | 5 | 2016 |
Colorspace: A toolbox for manipulating and assessing colors and palettes. arXiv A Zeileis, JC Fisher, K Hornik, R Ihaka, CD McWhite, P Murrell, R Stauffer, ... | 5* | 1903 |
topmodels: Infrastructure for Inference and Forecasting in Probabilistic Models MN Lang, A Zeileis, R Stauffer R package version 0.1, 2021 | 4 | 2021 |
Distributional Trees for Circular Data L Schlosser, MN Lang, T Hothorn, GJ Mayr, R Stauffer, A Zeileis Proceedings of the 34th International Workshop on Statistical Modelling 1 …, 2019 | 3 | 2019 |