R
Radan Huth
Researcher at Charles University in Prague
Publications - 104
Citations - 4674
Radan Huth is an academic researcher from Charles University in Prague. The author has contributed to research in topics: Atmospheric circulation & Downscaling. The author has an hindex of 35, co-authored 103 publications receiving 4008 citations. Previous affiliations of Radan Huth include Academy of Sciences of the Czech Republic & University of Reading.
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Journal ArticleDOI
Classifications of Atmospheric Circulation Patterns
Radan Huth,Christoph Beck,Andreas Philipp,Matthias Demuzere,Zbigniew Ustrnul,Monika Cahynová,Jan Kyselý,Ole Einar Tveito +7 more
TL;DR: It is mentioned a more extensive use in climate studies, both of past, present, and future climates, innovative applications in the ensemble forecasting, increasing variety of synoptic–climatological investigations, and steps above from the troposphere.
Journal ArticleDOI
Cost733cat - A database of weather and circulation type classifications
Andreas Philipp,Judit Bartholy,Christoph Beck,Michel Erpicum,Pere Esteban,Xavier Fettweis,Radan Huth,Paul James,Sylvie Jourdain,Frank Kreienkamp,Thomas Krennert,S. Lykoudis,Silas C. Michalides,Krystyna Pianko-Kluczyńska,Piia Post,Domingo Fernando Rasilla Álvarez,Reinhard Schiemann,Arne Spekat,Filippos Tymvios +18 more
TL;DR: It is shown that the types of subjective classifications compared to automated methods show higher persistence, inter-annual variation and long-term trends, while among the automated classifications optimization methods show a tendency for longer persistence and higher seasonal variation.
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Statistical downscaling in central Europe: evaluation of methods and potential predictors
TL;DR: In this paper, several statistical downscaling methods and large-scale predictors are evaluated to determine daily mean temperatures at 39 stations in central Europe, including 500 hPa heights, sea level pressure, 850 hPa temperature and 1000-500 hPa thickness.
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Statistical Downscaling of Daily Temperature in Central Europe
TL;DR: In this article, the authors compare several statistical downscaling methods and potential large-scale predictors for winter daily mean temperature in a network of stations in central and western Europe.
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An intercomparison of computer‐assisted circulation classification methods
TL;DR: In this article, five different methods have been used for classification of circulation patterns (correlation method, sums-of-squares method, average linkage, K-means, and rotated principal component analysis) are examined as to their ability to detect dominant circulation types.