Regional and seasonal variability of extreme precipitation trends in southern Poland and central-eastern Germany 1951-2006

2010 ◽  
Vol 31 (15) ◽  
pp. 2249-2271 ◽  
Author(s):  
Ewa B. Łupikasza ◽  
Stephanie Hänsel ◽  
Jörg Matschullat
2020 ◽  

Ancient coinage (understood here as pre-AD 6th century Greek, Celtic and Roman issues) constitutes a small percentage of hoards and other assemblages found in Central, Eastern and Northern Europe, dated to the Middle Ages and to the modern period. Ancient coins have also been recorded at other sites in contexts dated to the same time, such as burial or settlement sites. Finds sometimes include pierced coins, which suggests they may have been used as amulets or jewellery. The book contains the texts written by researchers from Poland, Germany, the Czech Republic, Sweden and Denmark. The aim of their studies of the archaeological, numismatic and written sources was to examine the use of ancient coins in the territories of present-day Poland, Baltic States, western Russia, Belarus, Ukraine, Slovakia, the Czech Republic, eastern Germany and Scandinavia in a period spanning from approximately 7th century to the turn of the 18th century.


2019 ◽  
Vol 176 (8) ◽  
pp. 3717-3735 ◽  
Author(s):  
Mohammad Rahimi ◽  
Samira Sadat Fatemi

Eos ◽  
2016 ◽  
Vol 97 ◽  
Author(s):  
Terri Cook

By greatly reducing the associated uncertainty, a new model is better able to discern statistically significant trends, offering the potential to improve the seasonal forecasting of rare events.


2022 ◽  
Vol 3 ◽  
Author(s):  
Ishrat Jahan Dollan ◽  
Viviana Maggioni ◽  
Jeremy Johnston

The investigation of regional vulnerability to extreme hydroclimatic events (e.g., floods and hurricanes) is quite challenging due to its dependence on reliable precipitation estimates. Better understanding of past precipitation trends is crucial to examine changing precipitation extremes, optimize future water demands, stormwater infrastructure, extreme event measures, irrigation management, etc., especially if combined with future climate and population projections. The objective of the study is to investigate the spatial-temporal variability of average and extreme precipitation at a sub-regional scale, specifically in the Southern Mid-Atlantic United States, a region characterized by diverse topography and is among the fastest-growing areas in North America. Particularly, this work investigates past precipitation trends and patterns using the North American Land Data Assimilation System, Version 2 (NLDAS-2, 12 km/1 h resolution) reanalysis dataset during 1980–2018. Both parametric (linear regression) and non-parametric (e.g., Theil-Sen) robust statistical tools are employed in the study to analyze trend magnitudes, which are tested for statistical significance using the Mann-Kendall test. Standard precipitation indices from ETCCDI are also used to characterize trends in the relative contribution of extreme events to precipitation in the area. In the region an increasing trend (4.3 mm/year) is identified in annual average precipitation with ~34% of the domain showing a significant increase (at the 0.1 significance level) of +3 to +5 mm/year. Seasonal and sub-regional trends are also investigated, with the most pronounced increasing trends identified during summers along the Virginia and Maryland border. The study also finds a statistically significant positive trend (at a 0.05 significance level) in the annual maximum precipitation. Furthermore, the number of daily extremes (daily total precipitation higher than the 95th and 99th percentiles) also depicts statistically significant increases, indicating the increased frequency of extreme precipitation events. Investigations into the proportion of annual precipitation occurring on wet days and extremely wet days (95th and 99th percentile) also indicate a significant increase in their relative contribution. The findings of this study have the potential to improve local-scale decision-making in terms of river basin management, flood control, irrigation scheme scheduling, and stormwater infrastructure planning to address urban resilience to hydrometeorological hazards.


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