On the nonstationary identification of climate-influenced loads for the semi-probabilistic approach using measured and projected data
Author:
Affiliation:
1. Chair of Steel and Hybrid Structures, Bauhaus University of Weimar, Weimar, Germany
Funder
European Union, the European Social Fund
Publisher
Informa UK Limited
Subject
General Engineering,General Chemical Engineering,General Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/23311916.2022.2143061
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1. Assessing nonstationarity impacts for historical and projected extreme precipitation in Turkey
2. Behrendt, J., Penda, E., Finkler, A., Heil, U. & Polte-Rudolf, C., 2011. Beschreibung der Datenbasis des NKDZ. Version 3.5. Verlag Deutscher Wetterdienst.
3. Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?
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