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Author

Markus Dabernig

Observed name: Dabernig, Markus
Institution: GeoSphere Austria
ORCID: 0000-0002-2238-4282
Observed ORCID: 0000-0002-2238-4282
OpenAlex ID: A5035095988
Statistical Postprocessing for Weather Forecasts: Review, Challenges, and Avenues in a Big Data World
2020 · Stéphane Vannitsem, John Bjørnar Bremnes, et al. · Bulletin of the American Meteorological Society · 315
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Somewhere Over the Rainbow: How to Make Effective Use of Colors in Meteorological Visualizations
2014 · Reto Stauffer, Georg J. Mayr, et al. · Bulletin of the American Meteorological Society · 143
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Spatial ensemble post‐processing with standardized anomalies
2016 · Markus Dabernig, Georg J. Mayr, et al. · Quarterly Journal of the Royal Meteorological Society · 84
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The EUPPBench postprocessing benchmark dataset v1.0
2023 · Jonathan Demaeyer, Jonas Bhend, et al. · Earth system science data · 45
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EUPPBench postprocessing benchmark dataset - station data
2022 · Bhend, Jonas, Dabernig, Markus, et al. · Zenodo (CERN European Organization for Nuclear Research) · 12
Wind power estimation on local scale—A case study of representativeness of reanalysis data and data-driven analysis
2023 · Irene Schicker, Johanna Ganglbauer, et al. · Frontiers in Climate · 11
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The EUPPBench postprocessing benchmark dataset v1.0
2023 · Jonathan Demaeyer, jonas Bhend, et al. · 11
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Analog‐based post‐processing of the ALADIN‐LAEF ensemble predictions in complex terrain
2020 · Iris Odak Plenković, Irene Schicker, et al. · Quarterly Journal of the Royal Meteorological Society · 11
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Simultaneous Ensemble Postprocessing for Multiple Lead Times with Standardized Anomalies
2017 · Markus Dabernig, Georg J. Mayr, et al. · Monthly Weather Review · 11
Predicting Wind Power with Reforecasts
2015 · Markus Dabernig, Georg J. Mayr, et al. · Weather and Forecasting · 11
Statistical Post-Processing with Standardized Anomalies Based on a 1 km Gridded Analysis
2020 · Markus Dabernig, Irene Schicker, et al. · Meteorologische Zeitschrift · 9
ESSD benchmark output data
2022 · Chen, Jieyu, Dabernig, Markus, et al. · Zenodo (CERN European Organization for Nuclear Research) · 6
Probabilistic Neural Networks for Ensemble Postprocessing
2024 · Pu Liu, Markus Dabernig, et al. · Monthly Weather Review · 5
Quantifying the analysis uncertainty for nowcasting application
2025 · Yanwei Zhu, Aitor Atencia, et al. · Geoscientific model development · 2
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Quantile Regression Forests for Predictor Selection in Standardized Anomaly Postprocessing
2025 · Pu Liu, Ziqiang Huo, et al. · SOLA · 2
The EUPPBench postprocessing benchmark
2023 · Jonas Bhend, Jonathan Demaeyer, et al. · EGU General Assembly Conference Abstracts · 2
"The Simplest Idea One Can Have" for Seamless Forecasts with Postprocessing
2024 · Dabernig, Markus, Atencia, Aitor · arXiv (Cornell University) · 1
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Integrated nowcasting of convective precipitation with Transformer-based models using multi-source data
2024 · Küçük, Çağlar, Atencia, Aitor, et al. · arXiv (Cornell University) · 1
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Seamless probabilistic analysis and forecasting: from minutes to days ahead
2018 · Alexander Kann, Yong Wang, et al. · EGU General Assembly Conference Abstracts · 1
Predicting forecast errors with diffusion model for uncertainty quantification in wind speed nowcasting
2026 · Yanwei Zhu, Aitor Atencia, et al. · Geoscientific model development
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Supplementary material to "Predicting Forecast Errors with Diffusion Model for Uncertainty Quantification in Wind Speed Nowcasting"
2026 · Yanwei Zhu, Aitor Atencia, et al.
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Standardized Anomaly Forest-Based Methods for Wind Speed Ensemble Postprocessing
2025 · Pu Liu, Markus Dabernig, et al. · Journal of Applied Meteorology and Climatology
Seamless Probabilistic Nowcasting and Short-Range Forecasting for High-Impact Weather Events
2024 · Aitor Atencia, Markus Dabernig, et al.
Integrated nowcasting of convective precipitation with Transformer-based models
2024 · Çağlar Küçük, Aitor Atencia, et al.
Supplementary material to "Quantifying the analysis uncertainty for nowcasting application"
2024 · Yanwei Zhu, Aitor Atencia, et al.
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Works count: 41
Citation count: 688
H-index: 10
I10-index: 10
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