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As the negative impacts of hydrological extremes increase in large parts of the world, a better understanding of the drivers of change in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. To fill this gap, we present an IAHS Panta Rhei benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area (Kreibich et al. 2017, 2019). The contained 45 paired events occurred in 42 different study areas (in three study areas we have data on two paired events), which cover different socioeconomic and hydroclimatic contexts across all continents. The dataset is unique in covering floods and droughts, in the number of cases assessed and in the amount of qualitative and quantitative socio-hydrological data contained. References to the data sources are provided in 2023-001_Kreibich-et-al_Key_data_table.xlsx where possible. Based on templates, we collected detailed, review-style reports describing the event characteristics and processes in the case study areas, as well as various semi-quantitative data, categorised into management, hazard, exposure, vulnerability and impacts. Sources of the data were classified as follows: scientific study (peer-reviewed paper and PhD thesis), report (by governments, administrations, NGOs, research organisations, projects), own analysis by authors, based on a database (e.g. official statistics, monitoring data such as weather, discharge data, etc.), newspaper article, and expert judgement. The campaign to collect the information and data on paired events started at the EGU General Assembly in April 2019 in Vienna and was continued with talks promoting the paired event data collection at various conferences. Communication with the Panta Rhei community and other flood and drought experts identified through snowballing techniques was important. Thus, data on paired events were provided by professionals with excellent local knowledge of the events and risk management practices.

Hydrological droughts that occur in close temporal succession are highly impactful and challenge water management. While regional studies provide some evidence of successive drought occurrence at specific time scales and in certain regions, it is yet unclear where and when temporal drought successions are most common. Here, we test for significant temporal hydrological drought clustering at time scales from monthly to multi-year scales in different climate zones around the world using two different temporal clustering metrics. We find that (1) only 10% of the catchments show temporal hydrological drought clustering, (2) temporal hydrological drought clustering is most common at annual and 3-yearly time scales; (3) arid catchments with a low snow fraction are most prone to temporal hydrological drought clustering; and (4) temporal hydrological drought clustering is substantially more pronounced than the temporal clustering of meteorological droughts. These results suggest that besides climatic drivers such as precipitation, land-surface processes such as snow and glacier storage importantly influence the temporal clustering behavior of hydrological droughts and therefore the probability of temporal drought succession.&nbsp, The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Hintergrund und Stand (inter)nationaler Forschung: Die Vermeidung von Krankenhauseinweisungen aus dem Pflegeheim wird – auch hinsichtlich der Qualität der Versorgung – international diskutiert [ref:1], [ref:2]. Durch Anpassung der ambulanten Versorgung kann ein [zum vollständigen Text gelangen Sie über die oben angegebene URL]