Suchergebnisse

Die Publikation beschreibt den Aufbau und die Arbeitsweise eines Wettergenerators, der in der Lage ist, für einen Großteil von Witterungsbedingungen plausible und über alle Klimaelemente konsistente Stundendaten zu erzeugen. Er kann auf beliebige Klimastationen (bzw. Rasterzellen) angewendet werden. Damit wird dem Problem der für lange Zeiträume geringen flächenhaften Informationsdichte für meteorologische Daten in Stundenauflösung begegnet. Meteorologische Daten in stündlicher Auflösung werden für Anwendungen, wie z. B. die Hochwasser- oder Erosionsmodellierung, benötigt. Der Wettergenerator und das Nutzerhandbuch sind über das Regionale Klimainformationssystem ReKIS frei zugänglich. Redaktionsschluss: 05.04.2019

A global warming of 1.4 to 5.8 °C has been forecasted for the end of this century – attributed mainly to the anthropogenic reinforcement of greenhouse gases. Mankind is thus influencing its living conditions through its own activities. This self-engendered risk will also concern and change the landscapes and people of Saxony, Saxony-Anhalt and Thuringia, e.g. through an increase in dry periods, heavy rainfall and summer heat exposure. This paper deals with these risks on the basis of current studies of the university department of meteorology, including the results of flood research and a regional climate analysis covering the past 50 years for the above-mentioned federal states of Germany. Additionally, the outcome of a regional climate prognosis is inte

Abstract. We investigated the depth–duration relationship of maximum rainfall over all of Germany based on 16 years of radar-derived quantitative precipitation estimates (namely, RADKLIM-YW, German Meteorological Service) with a space–time resolution of 1 km2 and 5 min. Contrary to the long-term historic records that identified a smooth power law scaling behaviour between the maximum rainfall depth and duration, our analysis revealed three distinct scaling regimes of which boundaries are approximately 1 h and 1 d. A few extraordinary events dominated a wide range of durations and deviate to the usual power law. Furthermore, the shape of the depth–duration relationship varied with the sample size of randomly selected radar pixels. A smooth scaling behaviour was identified when the sample size was small (e.g. 10 to 100), but the original three distinct scaling regimes became more apparent as the sample size increases (e.g. 1000 to 10 000). Lastly, a pixel-wise classification of the depth–duration relationship of the maximum rainfall at all individual pixels in Germany revealed three distinguishable types of scaling behaviour, clearly determined by the temporal structure of the extreme rainfall events at a pixel. Thus, the relationship might change with longer time series and can be improved once available.