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Alexander Kann

Researcher at Central Institution for Meteorology and Geodynamics

Publications -  42
Citations -  636

Alexander Kann is an academic researcher from Central Institution for Meteorology and Geodynamics. The author has contributed to research in topics: Nowcasting & Ensemble forecasting. The author has an hindex of 11, co-authored 41 publications receiving 538 citations.

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The Integrated Nowcasting through Comprehensive Analysis (INCA) System and Its Validation over the Eastern Alpine Region

TL;DR: In this article, the Integrated Nowcasting through Comprehensive Analysis (INCA) system was developed for use in mountainous terrain, which combines surface station data with remote sensing data in such a way that the observations at the station locations are reproduced, whereas the remote-sensing data provided the spatial structure for the interpolation.
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Calibrating 2-m Temperature of Limited-Area Ensemble Forecasts Using High-Resolution Analysis

TL;DR: In this article, a nonhomogeneous Gaussian regression (NGR) is used to address a statistical correction of the first and second moment (mean bias and dispersion) for Gaussian-distributed continuous variables.
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Evaluation of high-resolution precipitation analyses using a dense station network

TL;DR: In this article, the authors evaluated the skill of very high-resolution and frequently updated precipitation analyses (rapid-INCA) by means of a very dense weather station network (WegenerNet), operated in a limited domain of the southeastern parts of Austria (Styria).
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On the forecast skill of a convection-permitting ensemble

TL;DR: The results show that the convection-permitting ensemble with higher-resolution AROME-EPS outperforms its mesoscale counterpart ALADIN-LAEF for precipitation forecasts, and there are advantages for higher precipitation thresholds at small spatial scales.