activity
20222025
most citedBuilding Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ao-ph2025

Beyond Resolution: Multi-Scale Weather and Climate Data for Alpine Renewable Energy in the Digital Twin Era -- First Evaluations and Recommendations

Irene Schicker, Marianne Bügelmayer-Blaschek, Annemarie Lexer +3

When Austrian hydropower production plummeted by 44% in early 2025 due to reduced snowpack, it exposed a critical vulnerability: standard meteorological and climatological datasets…

stat.AP2025

COBASE: A new copula-based shuffling method for ensemble weather forecast postprocessing

Maurits Flos, Bastien François, Irene Schicker +2

Weather predictions are often provided as ensembles generated by repeated runs of numerical weather prediction models. These forecasts typically exhibit bias and inaccurate depende…

physics.ao-ph2025★ 1 cited

Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings

Simon Adamov, Joel Oskarsson, Leif Denby +8

Machine learning is revolutionizing global weather forecasting, with models that efficiently produce highly accurate forecasts. Apart from global forecasting there is also a large…

math.NA2023

Wind to start the washing machine? High-Resolution Wind Atlas for Finland

X. Yang, Y. Tian, I. Schicker +1

The current fossil fuel and climate crisis has led to an increased demand for renewable energy sources, such as wind power. In northern Europe, the efficient use of wind power is c…

cs.LG2022

AWT -- Clustering Meteorological Time Series Using an Aggregated Wavelet Tree

Christina Pacher, Irene Schicker, Rosmarie deWit +2

Both clustering and outlier detection play an important role for meteorological measurements. We present the AWT algorithm, a clustering algorithm for time series data that also pe…