Early 21st-century droughts in Europe have been broadly regarded as exceptionally severe, substantially affecting a wide range of socio-economic sectors. These extreme events were linked mainly to increases in temperature and record-breaking heatwaves that have been influencing Europe since 2000, in combination with a lack of precipitation during the summer months. Drought propagated through all respective compartments of the hydrological cycle, involving low runoff and prolonged soil moisture deficits. What if these recent droughts are not as extreme as previously thought? Using reconstructed droughts over the last 250 years, we show that although the 2003 and 2015 droughts may be regarded as the most extreme droughts driven by precipitation deficits during the vegetation period, their spatial extent and severity at a long-term European scale are less uncommon. This conclusion is evident in our concurrent investigation of three major drought types – meteorological (precipitation), agricultural (soil moisture) and hydrological (grid-scale runoff) droughts. Additionally, unprecedented drying trends for soil moisture and corresponding increases in the frequency of agricultural droughts are also observed, reflecting the recurring periods of high temperatures. Since intense and extended meteorological droughts may reemerge in the future, our study highlights concerns regarding the impacts of such extreme events when combined with persistent decrease in European soil moisture.

Drought is one of the main threats to food security and ecosystem productivity. During the past decades, Europe has experienced a series of droughts that caused substantial socioeconomic losses and environmental impacts. A key question is whether there are some similar characteristics in these droughts, especially when compared to the droughts that occurred further in the past. Answering this question is impossible with traditional single-index approaches and also short-term and often spatially inconsistent records. Here, using a multidimensional machine learning–based clustering algorithm and the hydrologic reconstruction of European drought, we determine the dominant drought types and investigate the changes in drought typology. We report a substantial increase in shorter warm-season droughts that are concurrent with an increase in potential evapotranspiration. If shifts reported here persist, then we will need new adaptive water management policies and, in the long run, we may observe considerable alterations in vegetation regimes and ecosystem functioning.

In recent years, there has been growing concern about the effect of global warming on water resources, especially at regional and continental scales. The last IPCC report on extremes states that there is medium confidence about an increase on European drought frequency during twentieth century. Here we use the Old World Drought Atlas palaeoclimatic reconstruction to show that when Europe’s hydroclimate is examined under a millennial, multi-scale perspective, a significant decrease in dryness can be observed since 1920 over most of central and northern Europe. On the contrary, in the south, drying conditions have prevailed, creating an intense north-to-south dipole. In both cases, hydroclimatic conditions have shifted to, and in some regions exceeded, their millennial boundaries, remaining at these extreme levels for the longest period of the 1000-year-long record.

In present paper we assess the climate change impact on mean runoff between the periods (control period) and 2070-2099 (scenario period) in the Czech Republic. Hydrological balance is modelled with a conceptual hydrological model BILAN at 250 catchments of different sizes and climatic conditions. Climate change scenarios are derived using simple delta approach, i.e. observed series of precipitation, temperature and relative air humidity are perturbed in order to give the same changes between the control and scenario period as in the ensemble of 15 transient regional climate model (RCM) simulations. The parameters of the hydrological model are for each catchment estimated using observed data. These parameters are subsequently used to derive discharge series under climate change conditions for each RCM simulation. Although the differences in the absolute values of the changes in runoff are considerable, robust patterns of changes can be identified. The majority of the scenarios project an increase in winter runoff in the northern part of the Czech Republic, especially at catchments with high elevation. The scenarios also agree on a decrease in spring and summer runoff in most of the catchments. V článku předkládáme výsledky modelování změn hydrologického režimu v důsledku změn klimatu mezi časovými obdobími 1961-1990 a 2070-2099 podle souboru patnácti regionálních klimatických modelů pro 250 povodí v České republice. Hydrologická bilance byla modelována pomocí konceptuálního hydrologického modelu BILAN. Časové řady ovlivněné změnou klimatu byly získány jednoduchou přírůstkovou metodou, tj. pozorované časové řady srážek, teplot a vlhkostí vzduchu (vstupy do modelu BILAN) byly opraveny pro každou simulaci pomocí přírůstkových faktorů tak, aby měsíční změny těchto veličin byly stejné jako podle uvažované simulace klimatického modelu. Hydrologický model je nakalibrován s využitím pozorovaných dat, identifikované parametry jsou následně využity pro simulaci hydrologické bilance pro řady ovlivněné klimatickou změnou. Základní podstata možných změn hydrologické bilance na území České republiky vyplývá z projekcí srážek a teplot pro Evropu, tj. postupné zvyšování teplot během celého roku a pokles letních, růst zimních a stagnace ročních srážek. V období od začátku podzimu do začátku léta dochází k růstu srážek, jenž je doprovázen řádově stejným růstem územního výparu způso-beným růstem teplot. V letním období dochází k poklesu srážek a v důsledku úbytku zásob vody v povodí nemůže docházet k výraznému zvyšování územního výparu. Důležitým faktorem ovlivňující změny odtoku je posun doby tání v důsledku vyšší teploty přibližně z dubna na leden-únor. Změny odtoku v období leden-květen jsou tedy dominantně určeny právě odlišnou dynamikou sněhové zásoby, změny v letním období zejména úbytkem srážek. Výsledné odhady změn odtoku jsou zatíženy značnou nejistotou, nicméně lze identifikovat robustní jevy společné pro řadu simulací. Jak ukazují výsledky, na většině modelovaných povodí je pokles odtoků v období od dubna do října spole...

Rain event characteristics are assessed in a 10‐year (1991–2000) record for 122 stations in the Czech Republic. Individual rain events are identified using the minimum interevent time (mit) concept. For each station, the optimal mit value is estimated by examining the distribution of interevent times. In addition, various mit values are considered to account for the effect of mit on rain event characteristics and their interrelationships. The interdependence between rain event characteristics and altitude, average rainfall depth, and geographic location are explored using simple linear models. Most rain event characteristics can be to some extent explained by average total rainfall or altitude, although models including the former significantly outperformed models using the latter. Significant correlation was found among several pairs of monthly mean characteristics often including event rain rate (with event duration, depth, maximum intensity, and fraction of intraevent rainless periods). Moreover, strong correlation was revealed between number of events, interevent time, event depth, and duration. In general, correlation decreases in absolute value with mit. Strong spatial correlation was found for the mean monthly interevent time and number of events. Spatial correlation was considerably smaller for other characteristics. In general, spatial dependence was smaller for larger mit values. Copyright © 2013 John Wiley & Sons, Ltd.