Locations and rivers in the Czech Republic mentioned in this paper: 1-Benešov nad Ploučnicí, 2-Břeclav, 3-Bzenec, 4-Cheb, 5-ˇ Ceská Lípa, 6-ˇ Ceská Skalice, 7-ˇ Ceské Budějovice, 8-Dačice, 9-Děčín-Podmokly, 10-Dobruška, 11-Domažlice, 12-Hradec Králové, 13-Hradisko / Klášterní Hradisko, 14-Hranice, 15-Jáchymov, 16-Jihlava, 17-Kadaň, 18-Karlštejn, 19-Klatovy, 20Kroměříž, 21-Krupka, 22-Litoměřice, 23-Louny, 24-Mimoň, 25-Moravsk´yMoravsk´y Beroun, 26-Olomouc, 27-Opočno, 28-Plzeň, 29Praskolesy, 30-Přerov, 31-Přímětice, 32-Roudnice nad Labem, 33-R´ymařovR´ymařov, 34-Slan´ySlan´y, 35-Sobůlky, 36-Stará Voda, 37-Svat´ySvat´y Kopeček, 38-Svitávka, 39-Trutnov, 40-Třebíč, 41-Třeboň, 42-Uherské Hradiště, 43-Uhersk´yUhersk´y Brod, 44-Varnsdorf, 45-Zašová, 46-Zbraslav, 47-ˇ Zelechovice.

Locations and rivers in the Czech Republic mentioned in this paper: 1-Benešov nad Ploučnicí, 2-Břeclav, 3-Bzenec, 4-Cheb, 5-ˇ Ceská Lípa, 6-ˇ Ceská Skalice, 7-ˇ Ceské Budějovice, 8-Dačice, 9-Děčín-Podmokly, 10-Dobruška, 11-Domažlice, 12-Hradec Králové, 13-Hradisko / Klášterní Hradisko, 14-Hranice, 15-Jáchymov, 16-Jihlava, 17-Kadaň, 18-Karlštejn, 19-Klatovy, 20Kroměříž, 21-Krupka, 22-Litoměřice, 23-Louny, 24-Mimoň, 25-Moravsk´yMoravsk´y Beroun, 26-Olomouc, 27-Opočno, 28-Plzeň, 29Praskolesy, 30-Přerov, 31-Přímětice, 32-Roudnice nad Labem, 33-R´ymařovR´ymařov, 34-Slan´ySlan´y, 35-Sobůlky, 36-Stará Voda, 37-Svat´ySvat´y Kopeček, 38-Svitávka, 39-Trutnov, 40-Třebíč, 41-Třeboň, 42-Uherské Hradiště, 43-Uhersk´yUhersk´y Brod, 44-Varnsdorf, 45-Zašová, 46-Zbraslav, 47-ˇ Zelechovice.

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This paper addresses droughts in the Czech Lands in the 1090–2012 AD period, basing its findings on documentary evidence and instrumental records. Various documentary sources were employed for the selection of drought events, which were then interpreted at a monthly level. While the data on droughts before 1500 AD are scarce, the analysis concentra...

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Context 1
... evidence used as basic data in his- torical climatology (Pfister, 2001;Brázdil et al., 2005Brázdil et al., , 2010de Kraker, 2006;Kiss, 2009;Mauelshagen, 2010) and histor- ical hydrology (Brázdil et al., 2006a(Brázdil et al., , 2012c). Data sources that report droughts in the Czech Lands (for all Czech lo- cations mentioned in this paper see Fig. 1) are mentioned ...
Context 2
... terms of occurrence of the most extreme decades. While the documentary data indicated that the driest decade was 1531-1540, TRW-based Z-index led to the years 1601- 1610. Certain common features were found when frequency of dry months (MAMJJ) was compared with mean recon- structed precipitation totals over the same season for individ- ual decades (Fig. 10). The two data sets were transformed to z-scores for better comparison. In this case, the correla- tion between the two characteristics of dryness is significant (r = −0.39) and evaluation of dryness from two different sources agrees at least partly for most of the decades. Among the most extremely dry decades to appear are those of ...
Context 3
... with a number of natural proxies) were used in a gridded (0.5 × 0.5 deg.) mul- tiproxy precipitation reconstruction for Europe by Pauling et al. (2006). A subset of this reconstruction covering central Europe (48 • N/12 • E-52 • N/18 • E) was compared with the Czech drought chronology in the common 1501-2000 pe- riod at a decadal resolution (Fig. 11). A relatively high and statistically significant correlation was found for JJA values (r = −0.58), implying that the two series share a common variance of about 34 ...
Context 4
... very high inter-decadal variability in both series, numerous common features can be found not only for indi- vidual decades but also for long-term tendencies (Fig. 11). Less frequent droughts were especially typical of the second half of the 16th century and for the 17th century. Conversely, more frequent droughts occurred in the first part of the 16th century, the end of the 18th century and both series also in- dicate more droughts during the 20th century. The subset of European precipitation ...

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... In order to further test the feasibility of our VPD reconstruction, in the final step of the analysis we compare the regional averages and running averages (30 years) of the reconstructed VPD with temperature (Luterbacher et al., 2004), precipitation (Pauling et al., 2006), and Palmer Drought Severity Index (PDSI) reconstructions for the three European regions, as defined by IPCC Sixth Assessment Report (AR6) (IPCC, 2021a; Iturbide et al., 2020): northern Europe, central Europe, and the Mediterranean. Furthermore, we show maps of the European summer VPD for the most extreme positive years (1868, 1707, 1835) and most extreme negative years (1785,1742,1747) to investigate the spatial variability in concordance with past historical data (Brázdil et al., 2013;Brooks and Glasspoole, 1922;Glaser, 2008;Ionita et al., 2021;Marusek, 2010;Pauling et al., 2006;Trigo et al., 2009). Prior to this mapping, all VPD grid cells are centered and standardized (z transformation) to present z anomalies for each grid cell. ...
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... In order to test the feasibility of our VPD reconstruction, in the final step of the analysis we compare the regional averages and running averages (30 years) of the reconstructed VPD with temperature (Luterbacher et al., 2004), precipitation (Pauling et , 2006) and Palmer Drought Severity Index (PDSI) reconstructions (Cook et al., 2015) for the three European regions, as 175 defined by IPCC Sixth Assessment Report (AR6) (IPCC, 2021a;Iturbide et al., 2020): Northern Europe, Central Europe, and the Mediterranean region. Furthermore, we show maps of the European summer VPD for selected years with extreme positive VPD anomalies (1868,1707,1835) and extreme negative VPD anomalies (1785,1742,1747) to investigate the spatial variability in concordance with past historical data (Brázdil et al., 2013;Brooks and Glasspoole, 1922;Cook et al., 2015;Glaser, 2008;Ionita et al., 2021;Marusek, 2010;Pauling et al., 2006;Trigo et al., 2009). Prior to this mapping, all VPD grid 180 cells are centered and standardized (z-transformation) to present z-anomalies for each grid cell. ...
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... In the 16th century, the years 1536, 1540 and 1590 are associated with significant runoff deficits. The event of 1540 has already been reported (Brázdil et al., 2013;Cook et al., 2015;Brázdil et al., 2019) as the worst event of the 16th century and more severe in terms of changing hydrologic conditions. In 1540, almost 90 % of the Rhine and Elbe River catchments (Basel and Cologne) experienced low yearly discharge, which ranked as the greatest low flows in the last 5 centuries (Leggewie and Mauelshagen, 2018). ...
... In the Köln-Rhine catchment, 26 remarkable droughts have been captured over the past 500 years, and the year 1686 reached the largest runoff deficit (156 mm yr −1 ). The 1616 is considered the driest year of the 17th century, the so-called "drought of the century" (Brázdil et al., 2013), which significantly impacted the major rivers in Europe (e.g. Rhine, Main and Wesser). ...
... Brázdil et al. (2018) identified three unusual drought periods (1540, 1616 and 1718-19) over the Czech lands, highlighting the 1616 drought, which caused widespread famine, dried up the Elbe river watershed and altered the climate of neighbouring nations (Switzerland and Germany). The hunger stone of the Elbe River also revealed the exceptionally dry year of 1616 (Brázdil et al., 2013). During the 18th century, a similar level of runoff deficit was simulated in the years 1706 and 1719. ...
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... This seasonal cycle is essential in the global hydrological cycle, being the driver of water supply in a large part of the world: seasonal snow and glacier melt comprises the main water resource for up to 22% of the global population (Immerzeel et al., 2020;Kaser, Großhauser, & Marzeion, 2010). In the past, inhabitants of glacier-dominated regions have been spared when drought was imminent through lack of precipitation (Pritchard, 2019), such as in the 1540 drought in Central Europe (Brázdil et al., 2013;Pfister, 1999). Beyond these indirect impacts, SMB change can affect and cause other hydroclimatic events, including extremes such as droughts and floods. ...
... When considering the past millennium and the occurrence of droughts in Europe, particular dry conditions were prevailing in the MCA with dry summer especially between 1010 and 1165 (B€ untgen et al., 2010;Cook et al., 2015), while the LIA between 1430 and 1720 was subject to overall drier conditions (e.g., 15th and 16th centuries) but less pronounced compared to the MCA (B€ untgen et al., 2010). Severe droughts occurred in 1540, 1590, 1616, and 1718 including 1719 (Brázdil et al., 2013). Even though their analyses focus on the Czech Republic, the authors of this study assume that this region is representative for surrounding areas in Central Europe, since they form a homogeneous region, which acknowledges the fact that droughts are large-scale events in terms of both spatial (up to continental scale) and temporal dimension (several months and beyond). ...
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... In the most recent two decades research in the field of historical climatology has made a significant advance in our knowledge of how societies functioned in the past, and how they dealt with climate variability throughout the centuries (Brázdil et al., 2013a(Brázdil et al., , b, 2018Camenisch et al., 2016Camenisch et al., , 2020Kiss, 2014Kiss, , 2017Kiss, , 2019Kiss and Nikolić, 2015;Kiss and Pribyl, 2019;Huhtamaa and Helama, 2017;Ljungqvist et al., 2021). However, much still remains to be done. ...
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Aim of the study: Droughts are one of the more costly natural hazards on a year-to-year basis. Their impacts are significant and widespread, affecting many economic sectors and people at any one time (WMO & GWP, 2016). In our paper we will focus on the comparison of meteorological drought (precipitation) and agricultural drought (available soil water) in the Nitra River basin, Slovakia. Material and methods: Data from the Nitra River Basin were provided from the meteorological stations (Svinná, Bystričany, Solčany, Veľké Ripňany, Jelenec and Pribeta ) of the Slovak University of Agriculture in Nitra. The meteorological drought is defined as a period with no precipitation (Petrovič, 1960). Agricultural drought was determined as the value below the amount of water storage in the soil profile (0.20 m) accessible to plants. Results and conclusions: We focused on the comparison of meteorological drought and the number of days with both type of drought is from year 2014 increasing. The worst year was 2018 in every meteorological station, when the agricultural drought was with short interruptions from sprig to winter. This trend can also be seen in the countries neighbouring Slovakia - Poland, Hungary or Czech Republic.
... Finally, we compare the regional averages and running averages (30 years) of the reconstructed VPD with temperature (Luterbacher et al., 2004), precipitation (Pauling et al., 2006), and Palmer Drought Severity Index (PDSI) reconstructions 160 (Cook et al., 2015) for the three European AR6 regions: Northern Europe, Central Europe and Mediterranean (Iturbide et al., 2020). Furthermore, we show maps of the European summer VPD for selected and highlighted wet (1737, 1814, 1815) and dry (1616,1741,1821) years to investigate the spatial variability of our reconstruction (Brooks and Glasspoole, 1922;Pauling et al., 2006;Trigo et al., 2009;Brázdil et al., 2013;Cook et al., 2015;. Before this mapping, all VPD grid cells are centred and standardized (z-transformation) to present z-anomalies for each grid cell. ...
... According to a drought reconstruction for Czech, the drought of 1616 was one of five "outstanding drought events" since 1090 CE which began in the spring and continued throughout the summer with great heat and dried-up rivers (Brázdil et al., 2013). ...
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... Even though their analyses focus on the Czech Republic, the authors of this study assume that this region is representative for surrounding areas in Central Europe, since they form a homogeneous region, which acknowledges the fact that droughts are large-scale events in terms of both spatial (up to continental scale) and temporal dimension (several months and beyond). For numerous historic drought events, the exact timing cannot be reconstructed accurately in terms of the affected period within in the year from the available sources, even though exceptions exist (Brázdil et al., 2013). The 1540 drought, for instance, was especially severe in terms of its length, since it covered a dry period from March 1540 until October 1540. ...
Chapter
This chapter gives a brief overview on historical changes in hydroclimatic extreme events. Since the reconstruction of hydroclimatic extremes depends on proxy data (i.e., deriving hydroclimatic data from other sources of information, such as tree ring analyses or historic reports), no direct measurements of hydroclimatic extremes exist similar to those which are generally available nowadays. Here, we focus on hydroclimatic extremes in Europe and limit our analyses to the past millennium. From this look into the past, we gain insight into the question how hydroclimatic extremes changed at centennial and millennial scales and how those extremes relate to more recent extremes. The focus of this chapter is on the most relevant quantities in hydrology, for which extremes are of high practical relevance: precipitation, floods, and droughts. Our brief review reveals that concurrent (or at least more recent extremes) are not generally unprecedented but that event frequencies of a certain magnitude might suggest a shift toward more extreme weather conditions, associated with anthropogenic climate change.
... Currently, it is possibly one of the most popular indices for estimating dry and wet periods, but mainly droughts (e.g. Lloyd-Hughes and Saunders 2002; Bordi et al. 2004;Livada and Assimakopoulos 2007;Zhang et al. 2009;Brázdil et al. 2013Brázdil et al. , 2016Brázdil et al. , 2018Przybylak et al. 2020). In central Poland, the index helps to determine the occurrence and intensity of meteorological drought in various time scales (e.g. ...
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This work presents the influence of atmospheric circulation on the occurrence of dry and wet periods in the central Polish region of Kujawy. The material on which the authors relied encompassed monthly totals of precipitation obtained from 10 weather stations in the period 1954–2018. Both dry and wet periods have been identified on the basis of monthly values of the Standardised Precipitation Index (SPI). Additionally, the calendar of circulation types over Central Poland was used to determine the atmospheric circulation indices: western (W), southern (S) and cyclonicity (C). The analyses have indicated that the region concerned experiences low precipitation totals in comparison with the rest of Poland. According to the circulation indices W, S and C, for Central Poland, the air mass advection from the West prevails over that from the East. Moreover, a slightly more frequent inflow of air from the South than from the North has been observed. The frequency of anticyclonic situations is higher than that of the cyclonic types in this part of Europe. Drought spells occurred in the study area at a clear dominance of anticyclonic circulation, with the inflow of air mostly from the North and with increased westerly circulation. On the other hand, the occurrence of wet periods was mainly influenced by cyclonic circulation during the advection of the masses from the South and West. Dry and wet periods accounted for 28% and 27% of the study period, respectively.