Publications and Talks

Publications

Scientific Articles

Fix F, Mayr GJ, Zeileis A, Stucke IK, Stauffer R (2024). Detection and consequences of atmospheric deserts: insights from a case study. Weather and Climate Dynamics, 5(4), 1545-1560. 10.5194/wcd-5-1545-2024.[ bib | DOI ]
Stauffer R, Zeileis A (2024). colorspace: A Python Toolbox for Manipulating and Assessing Colors and Palettes. Journal of Open Source Software, 9(102), 7120-7125. 10.21105/joss.07120.[ bib | DOI ]
Stauffer R, Zeileis A, Mayr GJ (2024). Long-Term Foehn Reconstruction Combining Unsupervised and Supervised Learning. International Journal of Climatology, 44(16), 5890-5901. 10.1002/joc.8673.[ bib | DOI ]
Lang MN, Schlosser L, Hothorn T, Mayr GJ, Stauffer R, Zeileis A (2020b). Circular regression trees and forests with an application to probabilistic wind direction forecasting. Journal of the Royal Statistical Society: Series C (Applied Statistics), 69(5), 1357-1374. 10.1111/rssc.12437.[ bib | DOI ]
Lang MN, Lerch S, Mayr GJ, Simon T, Stauffer R, Zeileis A (2020a). Remember the past: a comparison of time-adaptive training schemes for non-homogeneous regression. Nonlinear Processes in Geophysics, 27(1), 23-34. 10.5194/npg-27-23-2020.[ bib | DOI ]
Zeileis A, Fisher JC, Hornik K, Ihaka R, McWhite CD, Murrell P, Stauffer R, Wilke CO (2020). colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes. Journal of Statistical Software, Articles, 96(1), 1-49. ISSN 1548-7660. 10.18637/jss.v096.i01.[ bib | DOI ]
Lang MN, Mayr GJ, Stauffer R, Zeileis A (2019). Bivariate Gaussian Models for Wind Vectors in a Distributional Regression Framework. Advances in Statistical Climatology, Meteorology and Oceanography, 5(2), 115-132. 10.5194/ascmo-5-115-2019.[ bib | DOI ]
Gebetsberger M, Stauffer R, Mayr GJ, Zeileis A (2019). Skewed Logistic Distribution for Statistical Temperature Post-processing in Mountainous Areas. Advances in Statistical Climatology, Meteorology and Oceanography, 5(1), 87-100. 10.5194/ascmo-5-87-2019.[ bib | DOI ]
Schlosser L, Hothorn T, Stauffer R, Zeileis A (2019). Distributional regression forests for probabilistic precipitation forecasting in complex terrain. Annals of Applied Statistics, 13(3), 1564-1589. 10.1214/19-AOAS1247.[ bib | DOI ]
Stauffer R, Mayr GJ, Messner JW, Zeileis A (2018). Hourly Probabilistic Snow Forecasts over Complex Terrain: A Hybrid Ensemble Postprocessing Approach. Advances in Statistical Climatoloy, Meteorology and Oceanography, 4(1/2), 65-86. 10.5194/ascmo-4-65-2018.[ bib | DOI ]
Stauffer R, Umlauf N, Messner JW, Mayr GJ, Zeileis A (2017b). Ensemble Postprocessing of Daily Precipitation Sums over Complex Terrain Using Censored High-Resolution Standardized Anomalies. Monthly Weather Review, 145(3), 955-969. 10.1175/MWR-D-16-0260.1.[ bib | DOI ]
Stauffer R, Mayr GJ, Messner JW, Umlauf N, Zeileis A (2017a). Spatio-Temporal Precipitation Climatology Over Complex Terrain Using a Censored Additive Regression Model. International Journal of Climatology, 37(7), 3264-3275. ISSN 1097-0088. 10.1002/joc.4913.[ bib | DOI ]
Stauffer R, Mayr GJ, Dabernig M, Zeileis A (2015). Somewhere Over the Rainbow: How to Make Effective Use of Colors in Meteorological Visualizations. Bulletin of the American Meteorological Society, 96(2), 203-216. 10.1175/BAMS-D-13-00155.1.[ bib | DOI ]
Drechsel S, Mayr GJ, Messner JW, Stauffer R (2012). Wind Speeds at Heights Crucial for Wind Energy: Measurements and Verification of Forecasts. Journal of Applied Meteorology and Climatology, 51(9), 1602-1617. 10.1175/JAMC-D-11-0247.1.[ bib | DOI ]

Proceedings

Stauffer R, Mayr GJ, Zeileis A (2023). Long-term Foehn Reconstruction Combining Unsupervised and Supervised Learning. In Proceedings of the 37th International Workshop on Statistical Modelling, pp. 628-631. TU Dortmund University, Department of Statistics, Dortmund, Germany. ISBN 978-3-947323-42-5.[ bib ]
Wetscher M, Seiler J, Stauffer R, Umlauf N (2023). Stagewise Boosting Distributional Regression. In Proceedings of the 37th International Workshop on Statistical Modelling, pp. 331-336. TU Dortmund University, Department of Statistics, Dortmund, Germany. ISBN 978-3-947323-42-5.[ bib ]
Stauffer R, Lang MN, Zeileis A (2022). Graphical assessment of probabilistic precipitation forecasts. In Proceedings of the 36th International Workshop on Statistical Modelling, pp. 317-320. Università degli studi di Trieste, Trieste, Italy.[ bib ]
Lang MN, Mayr GJ, Schlosser L, Simon T, Stauffer R, Zeileis A (2020). Multivariate distributional regression forests for probabilistic nowcasting of wind profiles. In Proceedings of the 35th International Workshop on Statistical Modelling, pp. 142-147. Universidad del País Vasco, Bilbao.[ bib ]
Lang MN, Mayr GJ, Stauffer R, Zeileis A (2019). Correlation Effects in a Bivariate Gaussian Regression Model for Wind Vectors. Proceedings of the 34th International Workshop on Statistical Modelling, Guimarães, Portugal, 2, 58-61.[ bib ]
Schlosser L, Lang MN, Mayr GJ, Stauffer R, Zeileis A (2019). Distributional Trees for Circular Data. Proceedings of the 34th International Workshop on Statistical Modelling, Guimarães, Portugal, 1, 226-231.[ bib ]
Gebetsberger M, Mayr GJ, Stauffer R, Zeileis A (2017). Probabilistic Temperature Post-Processing Using a Skewed Response Distribution. Proceedings of the 32nd International Workshop on Statistical Modelling, Groningen, Netherlands, 1, 137-142.[ bib ]
Stauffer R, Umlauf N, Messner JW, Mayr GJ, Zeileis A (2016). Statistical Post-Processing of Daily Precipitation Sums over Complex Terrain Using Censored Standardized Anomalies. Proceedings of the 31th International Workshop on Statistical Modelling, Institut National des Sciences Appliquées, Centre Henri Lebesgue, Rennes, France, 2, 141-144.[ bib ]
Umlauf N, Stauffer R, Messner JW, Mayr GJ, Zeileis A (2015). A Conceptional Lego Toolbox for Bayesian Distributional Regression Models. Proceedings of the 30th International Workshop on Statistical Modelling, Johannes-Keppler Universität Linz, Austria, 2.[ bib ]
Stauffer R, Umlauf N, Messner JW, Mayr GJ, Zeileis A (2015). Censored Spatial Modelling of Precipitation Climatology over Tyrol, Austria. Proceedings of the 30th International Workshop on Statistical Modelling, Johannes-Keppler Universität Linz, Austria, 1.[ bib ]

Technical Reports

Seiler J, Müller B, Günther I, Wetscher M, Stauffer R, Umlauf N, Harttgen K (2024). Co-occurrence Patterns of Anemia, Acute, and Chronic Malnutrition in sub-Saharan Africa. Communications Medicine. Status: submitted.[ bib ]
Zackl C, Zopoglou M, Stauffer R, Ausserhofer M, Ijetoselsteijn M, Sturm G, de Miranda N, Finotello F (2024). spacedeconv: deconvolution of tissue architecture from spatial transcriptomics. Technical report, Research Square. 10.21203/rs.3.rs-5102166/v1. Submitted to: Genome Biology. Status: submitted.[ bib | DOI ]
Wetscher M, Seiler J, Stauffer R, Umlauf N (2024). Stagewise Boosting Distributional Regression. arXiv 2405.18288, arXiv.org E-Print Archive. 10.48550/arXiv.2405.18288.[ bib | DOI ]
Stauffer R, Dusch M, Maussion F, Mayr GJ (2019). Making Surface Wind Diagnostics Reproducible, Comparable and Scalable With foehnix. Technical report, American Meteorological Society. Submitted to: Bulletin of the American Meteorological Society.[ bib ]

Books

Stauffer R, and others (2024). Introduction to Programming with R. Self-published online book. https://discdown.org/rprogramming/.[ bib | http ]

Thesis

Stauffer R (2016). Probabilistic Spatial Forecasting of Daily Precipitation Sums Over Complex Terrain. PhD dissertation, University of Innsbruck, Department of Atmospheric and Cryospheric Sciences.[ bib | http ]
Stauffer R (2011). Das A-UMOS: “Updateable Model Output Statistics”-System für Europa. diploma thesis, University of Innsbruck, Department of Atmospheric and Cryospheric Sciences.[ bib ]

Awards

Stauffer R (2016). Best Student Poster Toyota Corporation Award at IWSM 2016. 31th International Workshop on Statistical Modelling, Rennes (FR).[ bib ]
Stauffer R (2015). Best Student Paper Award. Leopold-Franzens University Innsbruck.[ bib | .html ]

Software

Stauffer R (2024). gsdata: Interface to the GeoSphere Austria DataHub API (Data Access). R package version 0.0-7.[ bib | http ]
Stauffer R, Rojas-Kopeinig G, Grass T (2024b). annex: Annex86 data analysis package. R package version 0.2-13.[ bib | http ]
Stauffer R, Dusch M, Mayr GJ, Maussion F (2023a). foehnix: Toolbox for Automated Foehn Classification based on Mixture Models. R package version 0.1.6.[ bib | http ]
Hufkens K, Stauffer R, Campitelli E, BlueGreen Labs (2024). ecmwfr: Interface to ECMWF and CDS Data Web Services. R package version 2.0.2.[ bib | http ]
Stauffer R, Zeileis A, Ihaka R, Murrell P, Hornik K, Fisher JC, Wilke CO, McWhite CD (2023b). colorspace: A Python toolbox for manipulating and assessing colors and palettes. python package version 0.5.2.[ bib | http ]
Ihaka R, Murrell P, Hornik K, Fisher JC, Stauffer R, Wilke CO, McWhite CD, Zeileis A (2024). colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes. R package version 2.1-1.[ bib | http ]
Stauffer R, Piater J, Sternagel C, Clemens W, Zeileis Z (2024a). UIBK corporate design: LaTeX style files.[ bib | http ]
Zeileis A, Messner JW, Stauffer R, Kosmidis I, Mayr GJ (2024b). crch: Censored Regression with Conditional Heteroscedasticity. R package version 1.2-1.[ bib | http ]
Zeileis A, Grün B, Leisch F, Umlauf N, Birbaumer M, Ernst D, Keller P, Smits N, Stauffer R, Sato K, Wickelmaier F (2024a). exams: Automatic Generation of Exams in R. R package version 2.4-1.[ bib | http ]
Zeileis A, Stauffer R (2024). exams2forms: Embedding `exams' Exercises as Forms in `rmarkdown' or 'quarto' cuments. R package version 0.1-1.[ bib | http ]

Talks

Stauffer R, Lang MN, Zeileis A (2022). Graphical Assessment of Probabilistic Precipitation Forecasts. Presented at “IWSM 2022”, 36th International Workshop on Statistical Modelling, Trieste, Italy.[ bib | .pdf ]
Stauffer R, Chimiak-Opoka J, Rodríguez-Rojas LM, Zeileis A (2021). Teaching an introductory programming course with R. Presented at useR! 2021 - The R Conference, Elevator Pitches 2.[ bib | .pdf ]
Stauffer R, Zeileis A (2020a). Robust Color Maps That Work for Most Audiences (Including the U.S. President). ZAMG Austria - CS Akademie Seminar.[ bib | .pdf ]
Stauffer R, Zeileis A (2020b). Robust Color Maps That Work for Most Audiences (Including the U.S. President). Presented at the EGU General Assembly 2020, State of the Art in Earth Science Data Visualization.[ bib | .pdf ]
Stauffer R (2019). Das Wetter: schön aber kompliziert. Wettervorhersage von damals bis Heute. Presented at the weekly meeting of the Rotary Club Bergisel, Innsbruck, Austria.[ bib | .pdf ]
Stauffer R (2018b). Spatio-Temporal Ensemble Postprocessing over Complex Terrain: High-Resolution Precipitation Forecasts for Tyrol. Presented at the Faculty of Economics and Statistics at the University of Innsbruck, Innsbruck, Austria.[ bib | .pdf ]
Stauffer R (2018a). Somewhere Over the Rainbow: How to Make Effective Use of Colors in Scientific Visualizations. Presented at the research seminar of the National Oceanic and Atmospheric Administration, Physical Sciences Division (NOAA/PSD) in Boulder CO, United States of America.[ bib | .pdf ]
Stauffer R (2018c). Standardized Anomaly Model Output Statistics Over Complex Terrain. Presented at the research seminar of the National Oceanic and Atmospheric Administration, Physical Sciences Division (NOAA/PSD) in Boulder CO, United States of America.[ bib | .pdf ]
Stauffer R, Mayr GJ (2018). Automatisierte Probabilistische (Süd-)föhnvorhersage mittels statistischem Postprocessing. Presented at the meeting of the Alpine Research Group Foehn Rhine Valley/Lake Constance (AGF) in Innsbruck, Austria.[ bib | .pdf ]
Stauffer R, Zeileis A (2017b). Somewhere Over the Rainbow: How to Make Effective Use of Colors in Scientific Visualizations. Presented at Zentralanstalt für Meteorologie und Geodynamik, Innsbruck, Austria.[ bib | .pdf ]
Stauffer R, Zeileis A (2017a). Somewhere Over the Rainbow: How to Make Effective Use of Colors in Meteorological Visualizations. Presented at Research Seminar, Karlsruhe Institut für Technologie (KIT), Karlsruhe, Germany.[ bib | .pdf ]
Stauffer R, Zeileis A (2017c). Somewhere Over the Rainbow: How to Make Effective Use of Colors in Scientific Visualizations. Presented at Research Seminar, Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany.[ bib | .pdf ]
Stauffer R (2016a). Probabilistic Spatial Forecasting of Daily Precipitation Sums Over Complex Terrain. PhD Defense Presented at the Institute of Atmospheric and Cryospheric Sciences (ACINN), Innsbruck, Austria.[ bib | .pdf ]
Stauffer R (2016b). Spatial Post-Processing over Complex Terrain using Standardized Anomalies. Presented at Research Seminar, Institute of Atmospheric and Cryospheric Sciences (ACINN), Innsbruck, Austria.[ bib | .pdf ]
Stauffer R, Mayr GJ, Zeileis A, Dabernig M (2015a). Somewhere Over the Rainbow: How to Make Effective Use of Colors. Presented at the “11th eeecon Workshop”, Research Platform Empirical and Experimental Economics, University of Innsbruck, Innsbruck, Austria.[ bib | .pdf ]
Stauffer R, Mayr GJ, Zeileis A, Dabernig M (2015b). Somewhere Over the Rainbow: How to Make Effective Use of Colors. Presented at the “Early Career Meeting 2015”, University of Innsbruck, Innsbruck, Austria.[ bib | .pdf ]
Stauffer R, Umlauf N, Messner JW, Mayr GJ, Zeileis A (2015c). Spatio-temporal Censored Model of Precipitation Climatology. Presented at “IWSM 2015”, 30th International Workshop on Statistical Modelling, Linz, Austria.[ bib | .pdf ]
Stauffer R, Mayr GJ, Dabernig M, Zeileis A (2013). Escaping RGBland: How to Make Effective Use of Colors in Meteorological Visualizations. Presented at “DACH 2013”, Deutsch-0̈sterreichisch-Schweizerische Meteorologentagung, Innsbruck, Austria.[ bib | .pdf ]
Stauffer R, Vergeiner J, Mayr GJ (2011). The Austrian Updateable Model Output Statistics System (A-UMOS) an Adaption Of The Canadian UMOS Design. Presented at “EMS 2011”, 11th EMS Annual Meeting & 10th European Conference on Applications of Meteorology (ECAM), Berlin, Germany.[ bib ]

Posters

Stauffer R, Mayr GJ, Zeileis A (2023). Long-term foehn reconstruction combining unsupervised and supervised learning. Presented at “IWSM 2023”, 37th International Workshop on Statistical Modelling, Dortmund, Germany.[ bib | .pdf ]
Stauffer R, Umlauf N, Messner JW, Mayr GJ, Zeileis A (2016). Statistical Post-Processing of Daily Precipitation Sums Over Complex Terrain Using Censored Standardized Anomalies. Presented at “IWSM 2016”, 31th International Workshop on Statistical Modelling, Rennes, France.[ bib | .pdf ]
Stauffer R, Umlauf N, Messner JW, Mayr GJ, Zeileis A (2015). High-Resolution Spatio-Temporal Precipitation Climatology in Complex Terrain. Presented at “ICAM 2015”, 33th International Conference on Alpine Meteorology, Innsbruck, Austria.[ bib | .pdf ]
Umlauf N, Stauffer R, Messner JW, Mayr GJ, Zeileis A (2015). A Conceptional Lego Toolbox for Bayesian Distributional Regression Models. Presented at “IWSM 2015”, 30th International Workshop on Statistical Modelling, Linz, Austria.[ bib | .pdf ]
Stauffer R, Messner JW, Mayr GJ, Zeileis A (2014). Dynamical Statistical Forecast of Alpine Snow Amounts for the Safety of People, Infrastructure and Transport. Presented at “EMS 2014”, 14th European Meteorological Society Annual Meeting, Prague, Czech Republic.[ bib | .pdf ]
Stauffer R, Mayr GJ, Dabernig M, Zeileis A (2013). Escaping RGBland: How to Make Effective Use of Colors in Meteorological Visualizations,. Presented at “EMS 2013”, 13th EMS Anual Meeting & 11th European Conference on Applications of Meteoroloy (ECAM), Reading, United Kingdom.[ bib | .pdf ]
Stauffer R, Vergeiner J, Mayr GJ (2011). The Austrian Updateable Model Output Statistics System (A-UMOS) an Adaption Of The Canadian UMOS Design. Presented at “EMS 2011”, 11th EMS Annual Meeting & 10th European Conference on Applications of Meteorology (ECAM), Berlin, Germany.[ bib ]

Outreach

Stauffer R (2022b). White Christmas in Innsbruck? Digital Science Center Blog. 10.48763/000004.[ bib | DOI ]
Stauffer R (2022a). Dem Wetterfrosch auf die Sprünge helfen. Der Standard - Forschung Spezial. Ausgabe vom 20. April 2022.[ bib ]
Stauffer R (2019b). Wetterprognosen: aus Fehlern lernen. Zukunft Forschung - Das Magazin für Wissenschaft und Forschung der Universität Innsbruck, 11(1), 18-19. https://diglib.uibk.ac.at/ZuFo/periodical/pageview/3620980.[ bib | http ]
Stauffer R (2019a). Wahrscheinlich sicher. Wissenswert, Magazin der Leopold-Franzens-Universität Innsbruck, pp. 14-15. https://www.uibk.ac.at/public-relations/medien/wissenswert/wissenswert-dezember-2019.pdf.[ bib | .pdf ]
Zeileis A, Stauffer R (2018). Statistics for snow forecasting. scilog: The Magazine of the Austrian Science Fund FWF. FWF Project of The Week.[ bib | http ]
Stauffer R, Zeileis A (2015). Bessere Schneemengenvorhersage mit SnowSafe FX. Broadcasted 27 November 2015, OE1 Dimensionen Magazin, Rundfunk (OE1 Radio, Österreich).[ bib ]
Stauffer R, Oechslin R (2015). Grenzen von Wettermodellen. Meteo-Spezial, 40 Jahre SHV, Schweizerischer Hängegleiter-Verband, pp. 28-32.[ bib ]