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Variability of Dry Days and Sequences of Dry Days in the Polish Carpathians in the Period 1986‐2020

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Abstract
This study aims at providing a climatological analysis of annual and long-term variability of dry periods in the Polish Carpathians in the period of 35 years between 1986 and 2020. Aside days with precipitation, dry periods, namely sequences of days with no precipitation, constitute an inherent characteristic of the climate. The input data for the research was formed by daily precipitation totals from 17 meteorological stations acquired from the Institute of Meteorology and Water Management - National Research Institute, and T. Niedźwiedź catalogue of circulation types over southern Poland. Frequency of dry periods of different duration has been presented. The incidence of long-term periods has been related to the atmospheric circulation. An analysis was performed regarding the change of the average quantity and average length of dry sequences in the 35-year period covered. At most stations, there were no statistically significant trends with respect to the analysed dry day characteristics. This is an obvious result of high variability year-to-year, which means that exclusively large changes may achieve statistical significance. Dry days have been evidenced to related to circulation types. A vast majority of dry days is related to anti-cyclonal systems, particularly the anti-cyclonal wedge (Ka) and western anti-cyclonal (Wa) situations.
Keywords: 
Subject: Environmental and Earth Sciences  -   Atmospheric Science and Meteorology

1. Introduction

Precipitation plays an important role in the environmental water circulation system. In natural conditions, it can cause extreme phenomena: drought in the event of absence of precipitation, or flood in the case of excessive amounts. As rightly pointed out by Şen [1], water management depends on the occurrence of wet and dry periods in an alternating manner. Therefore, information about the statistical characteristics of their incidence, as underscored by the abovementioned author, provides the data most needed for optimal and sustainable work oriented at water demand.
Apart from days with precipitation days with no precipitation, constitute an inherent characteristic of the climate in many areas. In the temperate climate zone, where Poland is located, such days show high variability both in the annual cycle and on a year-to-year basis (e.g. [2]), which is an obvious consequence of the high variability of atmospheric circulation [3]. Polar, arctic, and tropical air masses flowing over the area, extremely different in both their thermal and humidity characteristics and with either maritime or continental properties, may cause long-term conditions with an absence of precipitation, causing acute droughts [4,5,6,7].
The occurrence of periods with no precipitation has many harmful effects on the population, including on water security and agriculture. As evidenced by many researchers [8,9,10], an understanding of changes in their duration and in the annual cycle is necessary to control droughts, a phenomenon that may pose a threat to food production and increase the risk of fires. Long-lasting shortage of precipitation may cause the development of atmospheric (meteorological) drought that negatively affects vegetation, both in its quantity and the quality of the harvest [11,12]. Periods with no precipitation or periods with poor rain with a rainfall total significantly lower than standard, often contribute to the development of further phases of drought, including soil drought or even hydrological drought, resulting in a water deficit in rivers [13].
The incidence of periods with no precipitation and dry spells in large areas correlates well with the macro-scale circulation [14,15,16], whereas in smaller areas, it depends on local conditions [17]. The vast number of studies conducted worldwide on the frequency and trends related to changes in dry periods in areas of various spatial and time scales testifies to the im-portance of this research. Such research also examines many areas in Europe [18,19], particularly in the Mediterranean zone [20], including Italy [21], the Iberian Peninsula [22,23] and Croatia [24,25].
The authors of these studies focus primarily on the occurrence of dry spells in different climatic zones. On the other hand, dry days, and especially sequences of such days and their dependency on atmospheric circulation, are seldom the topic of research. This classic approach allows one to obtain a preliminary understanding of the kinds of conditions that lead to atmospheric droughts, the study of which requires the adoption of a strict set of criteria.
This study aims at a climatologic analysis of the frequency of dry days and sequences of dry days and their long-term variability in the Polish Carpathians across the 35-year period between 1986 and 2020. The incidence of dry days and long-term periods with no precipitation over southern Poland has been related to atmospheric circulation types by Niedźwiedź [26]. This study focuses on analysing days with no precipitation since the mid-1980s, namely in the period with a strong increase in air temperature [27]. The study comprises three parts. The starting point of the research is provided by the characteristics of the dry days (Section 3.1). Next, the analysis covers sequences of dry days (Section 3.2). The last part (Section 3.3) presents the correlation between the incidence of dry days and circulation conditions.

2. Data and Methods

The input material for the research involved daily totals of atmospheric precipita-tion from 17 meteorological stations located in the Polish Carpathians over the period 1986–2020 (Figure 1). These stations provided measurements of precipitation that were entirely complete and coherent in the aspects of the instrument, place and time of observation. The data have been acquired from the Polish meteorological service, i.e., the Institute of Meteorology and Water Management – National Research Institute (IMGW-PIB).
The Polish Carpathians form an area of varied orography, with differences in landforms over an altitude range of approximately 2000 m. The lowest measurement point included in the study is Skoczów: 286 m a.s.l., while the highest is Kasprowy Wierch: 1991 m a.s.l. The area is located within the range of the mountain climate regime, with annual precipitation of over 900 mm [28]. This is the origin of many mountain creeks and rivers which, downstream, feed the largest river in Poland, the Vistula, and provide the main source of water supply not only to the local community, but even more significantly to the population in the vicinity of the Carpathians.
In the first phase of the study, all dry days were identified on the basis of the da-tabase of daily precipitation totals, as well as sequences of dry days in each year of the 35-year period. A dry sequence means here a sequence of days (at least 2 days) without any precipitation. In the Polish meteorological service, a day with precipitation is a day where the total rainfall amounts to at least 0.1 mm. A sequence of dry days begins and ends on the day with no precipitation. Such climatologic approach to the analyse periods with no precipitation has already been applied by many authors (e.g., [2,24]).
The basic statistical characteristics of dry days and sequences have been described and presented graphically using box and whisker plots as well as mean and standard error of the mean (SEM) diagrams. Later, the frequency of sequences of dry days of various duration has been presented, including the longest periods at particular stations. In the analysis of long-term changes, two characteristics of dry sequences have been considered, namely their quantity and average length. The analyses of trends regarding changes to the dry days, the number of dry day sequences, and the mean length of the sequences with no precipitation in the 35-year period between 1986 and 2020, have been conducted using the non-parametric Mann-Kendall (MK) test [29,30,31,32]. The statistics of the Mann-Kendall test are calculated as follows:
S = ∑ k = 1 n - 1 ∑ j = k + 1 n sign   ( x j -   x k )
where: n – number of data entries.
s i g n x j -   x k = 1   d l a x j -   x k > 0 0   d l a x j -   x k = 0 - 1   d l a x j -   x k < 0
The standardized MK test statistics (Z) can be estimated as follows:
Z = S − 1 V ( S )   i f   S > 0 0             i f   S = 0 S + 1 V ( S )     i f   S < 0
where: V(S) – the variance of S:
V S = n n − 1 2 n + 5 − ∑ t = 1 p t i ( t i − 1 ) ( 2 t i + 5 ) 18
where: n is the number of data points
The statistic S is closely related to Kendall's as given by:
τ = S D
D = 0.5 n n − 1 − 0.5 ∑ j = 1 p t j ( t j − 1 ) 1 / 2 · 0.5 n ( n − 1 ) 1 / 2
where: p is the number of the tied groups in the data set and tj is the number of data points in the jth tied group. A positive value of S indicates an ‘upward trend’ and a negative value indicates a ‘downward trend’. S=0 indicates no trend.
Linear regression analysis was used to compute the coefficient of determination (R2) and the coefficient of linear regression (slope). The analysis of atmospheric circulation occurring during dry days was performed using the calendar of atmospheric circulation types over southern Poland assembled by Niedźwiedź [26,33]. The choice of a right classification of atmospheric circulation tends to be crucial in synoptic climatological research. Meso-scale classifications, produced for small areas, are the most useful in explaining the reasons for the variability of the various climate components at a local scale. Indeed, with the same circulation type the weather in small areas can be influenced by different meso-scale circulation processes. With this approach, the kinds of relationships between circulation and given climate components are exposed more clearly [34]. This was very convincingly demonstrated by the research on the relationship between the occurrence of dry days in Kraków with such circulation types in 1874-1993 [2]. Major elements of circulation types isolated by Niedźwiedź [26,33] include the direction of advection or absence thereof, and the type of the baric system. In total, Niedźwiedź classified 20 circulation types. To make the distinction easy, the universally applied lettermarks were introduced to determine the direction of advection with the index ‘a’ for anticyclonic, and ‘c’ for cyclonic types:
Na, Nc— types with an advection of air masses from the north;
NEa, NEc — types with an advection of air masses from the northeast;
Ea, Ec— types with an advection of air masses from the east;
SEa, SEc— types with an advection of air masses from the southeast;
Sa, Sc— types with an advection of air masses from the south;
SWa, SWc—types with an advection of air masses from the southwest;
Wa, Wc—types with an advection of air masses from the west;
NWa, NWc—types with an advection of air masses from the northwest;
Ca—central anticyclonic situation;
Ka—anticyclonic wedge;
Cc—central cyclonic situation;
Bc—cyclonic trough;
X—marks those situations which cannot be classified.

3. Results

3.1. Annual Total of Dry Days

The annual total of dry days in the 35-year period from 1986 to 2020 analysed shows great variability at individual stations due to various statistical characteristics (Figure 2). The average number of dry days ranges from 142 at Kasprowy Wierch to 195 days in Gorlice, which corresponds to 39% and 53% days per year respectively (Figure 2a). One can observe general regularity in the increase in the total number of dry days from the west towards the east, which is an obvious consequence of the increasing degree of climate continentalisation. The exception is formed exclusively by the high-mountain station on Kasprowy Wierch (8) where, due to its situation at an altitude of 1991 m a.s.l., there are the fewest days with no precipitation. In the western part of the Polish Carpathians, the observed lower total of dry days is a result of the impact of moisture-carrying western winds causing an increase in precipitation frequency as well as quantity compared with the eastern part [28]. This is an obvious consequence of the prevalence of western circulation in the temperate zone bringing in humid air from the Atlantic.
From analysis of the box and whisker plot (Figure 2b), one can state that the range of annual variability in the annual total of dry days, namely the difference between the maximum and minimum annual total, falls between 60 in Wisła (from 135 days in 2013 to 193 in 2020) and 132 days in Tylicz (from 111 in 2012 to 243 in 1986). The year-to-year variability in the annual total of dry days was illustrated for the stations in Wisła and Tylicz, and the high-mountain station at Kasprowy Wierch (Figure 3). This confirms, their great variability over the 35-year period. A record number of dry days occurred at all stations in 1986: from 171 at Kasprowy Wierch to 243 days in Tylicz. Slightly fewer were recorded in 1995: from 153 at Kasprowy Wierch to 219 in Tylicz. Such a conformity regarding the incidence of the greatest number of dry days testifies to similar circulatory conditions over the entire area of the Polish Carpathians. The lowest number of dry days occurred at various times at individual stations, e.g. this was 106 days at Kasprowy Wierch in 1994, 111 days in Tylicz in 2012, and 134 days in Wisła in 2013 (Figure 3). This is manifested by a different degree of consistency in the long-term course of dry days. And so, for example, the correlation coefficient of such values totalled from 0.145 (Wisła-Kasprowy Wierch) to 0.628 (Wisła-Tylicz), which means just 2% common variance in the earlier case, and as much as 40% in the latter case. Such a result may testify to the impact of geographic factors on the occurrence of dry days.
There were significant statistical trends regarding changes to the total number of dry days at fewer than half the stations. This is an obvious result of the high year-to-year variability, which means that only large changes can achieve statistical significance. At five stations, a statistically significant trend (at various levels) was identified regarding the annual total number of dry days (Table 1). At four stations, the trend was negative, while at one station (Kasprowy Wierch) it was positive. An increase in the dry day total at Kasprowy Wierch began starting from 1994 (Figure 3), whereas, at the remaining stations, it remains visible in the last decade.

3.2. Sequences of Dry Days

In the 35-year study period, dry days occurred both on individual days and in se-quences, namely consecutive days without precipitation, at all stations (Fig.4). The share of single dry days in the total number of dry days at all stations is small, which is due to a higher frequency of precipitation in the mountainous area; from 10.7% in Szczawne to 17.8% at Kasprowy Wierch. Thus dry days occur more frequently in sequences (Figure 4): from 82% at Kasprowy Wierch to 89% in Szczawne.
Dry sequences of 2-7 days clearly stand out. At almost every station, over 1000 of these sequences were recorded in the period 1986-2020, whereas at two stations (Raba Wyżna, Gorlice) - over 1,200 dry day sequences (Table 2) were noted. At most stations, the dry day total in such sequences exceeded 60%. Among the sequences of 2-7 dry days, the most frequent were the sequences of 2 days: from 778 in Wisłok Wielki to 964 in Tylicz. Only three stations, namely Bogdanówka, Węglówka, and Półrzeczki, had a total of 3-day sequences with no precipitation exceeding the quantity of 2-day sequences. Their total at individual stations decreases together with sequence length. Sequences with no precipitation lasting from 8 to 14 days occur, on average, with 10-fold lower frequency (Table 2). Longer sequences of dry days (15-21 days) are very rare: from 7 cases at stations in the westernmost part of the Polish Carpathians to 25 cases in the south-eastern part thereof (Table 2), and they usually cover the entire area, which is an obvious con-sequence of stable circulation conditions affected by anticyclonic systems over Central and Eastern Europe. Special attention must be given to sequences of dry days lasting for at least 3 weeks due to the risk of drought, not only meteorological drought, but also agricultural, and even hydrological drought. In the period of 35 years analysed, such extreme weather conditions occurred four times in the study area, most frequently in the eastern part, thus in the more continental area. Among such long dry sequences, the one occurring in November 2011 which covered almost the entire area, stands out. It first appeared at some stations as early as on 21 October, and ended at the latest on 4 December. Such long sequences with no precipitation do not occur at stations located above 1000 m a.s.l., as also pointed out by Obrębska-Starkel et. al [28].
The annual total of sequences of days with no precipitation (Figure 5a) at individual stations shows high variability, similar to the total number of dry days (Fig.2). Their number at the stations varies from 20 sequences in 2013 in Białka Tatrzańska and Tylicz to 51 sequences in 1986 in Raba Wyżna (Figure 5a). The average numbers of such sequences range from 31 at Kasprowy Wierch to 39.7 per year at Raba Wyżna (Figure 5b).
As illustrated in Figure 6, the annual average length of dry day sequences in particular years varies significantly at individual stations. The lowest average length of the se-quence was 3 days in Tylicz (2004) and Kasprowy Wierch (1991), whereas the highest was 6-7 days in Białka Tatrzańska in 2013 (Figure 6a). In general, it can be stated that the average length of a dry sequence increases from the west towards the east, and thus in line with the increasingly continental character of the climate (Figure 6b).
At six stations (Table 3), there was a statistically significant negative trend in the changes in relation to the total number of dry day sequences. This is caused by a very low number of sequences in the period 2012–2013, which is well illustrated in the example of Tylicz (Figure 7).
In the case of the average length of the dry day sequences, a statistically significant trend to an increase has only been observed at 2 stations (Table 4). At Kasprowy Wierch, this is a trend significant at the level of p<0.05, while in the case of Węglówka – at the level of p<0.1. The long-term course of the average length of the sequences at Kasprowy Wierch is presented in Figure 8.

3.3. Links between Dry Days and Circulation Types

In the temperate zone, atmospheric precipitation or the absence thereof is largely affected by atmospheric circulation. The cyclonic or anticyclonic nature of such circulation, as well as the direction of air mass flow determine the thermal and humidity characteristics in a given area. From Niedźwiedź’s calendar of circulation types, it seems that in the 35-year period between 1985 and 2020, southern Poland more often recorded anticyclonic (56% of days) than cyclonic types (44% of days; Figure 9). Among the 20 types, the most frequently recorded was the situation of an anticyclonic wedge Ka (12.3%). A similar frequency was observed for type Bc – cyclonic trough (11.9%). The third was the anticyclonic circulation type from the west Wa with a frequency of 9.2% of days. In total, these three types occur for one third of days in a year, so they clearly dominated in comparison with the remaining 17 circulation types, which are observed noticeably more rarely, usually at a rate of 2-4%. The allocation of respective circulation types to each day with no precipitation revealed that, on average, 74% of such days at each meteorological station are related to anticyclonic types, and 25% to cyclonic types (Figure 9). Most dry days occur with one circulation type, namely anticyclonic wedge Ka: 19%. Many such days also occur with western anticyclonic circulation Wa: 11.3%. Therefore 30% of dry days are associated with these two circulation types. The source study of the author of this classification [33] provided examples of circulation types classified as Ka and Wa on the synoptic maps of Europe (Figure 10). An arrow marks the direction of air mass advection over the Polish Carpathians. A major impact on the incidence of dry days is also from circulation types coming from the southern sector, where the Foehn effect occurs.
The relationship between the occurrence of dry days and circulation types was also determined using conditional probability, which is the ratio of such days with a given circulation type and total days with such a circulation type. The analysis of this probability at individual stations revealed that the values do not significantly differ. This is well illustrated in Figure 11, which presents the distribution of probability values using the example of two stations located in the western and eastern part of the study area. In total, in the anticyclonic circulation types, the probability is over 75%. Among anticyclonic types, the most favourable is the high-pressure system centre (Ca), where the conditional probability exceeds 90% at each station. In the case of circulation types from the southern sector, the probability of dry days is slightly lower (usually over 80%, depending on the meteorological station). The circulation types that are the least favourable to rain-free days over the Polish Carpathians include the types from the northern sector, for which most precipitation is recorded [35].
Further analysis involved circulation types occurring during the longest sequence of dry days, which occurred in November 2011. This was observed at all stations, but with varying length. The sequence lasted for the longest time (40 days) in Raba Wyżna, from 26 October to 4 December 2011 (Table 2). In that period, only anticyclonic circulation types were recorded (8 out of 10). Most were recorded in the Sa (10 days) and Wa and Ka (7 days each) types. Two types: Na and NEa did not occur at all.

4. Discussion and Conclusions

At the time of contemporary global warming, research of dry days and sequences of dry days is becoming increasingly important. This is because, in many areas, e.g. in Canada, a trend towards an increase in the number and duration of dry periods is observed [15]. Their more frequent incidence is considered as an evident manifestation of climate change [36] because drought periods often coincide with heat waves that cause an intensification of dryness [37]. Forecasts have related increasingly long drought periods with a long-term negative effect on vegetation [38,39,40].
In relation to global warming that causes, inter alia, a shortening of the snow cover pe-riod, there is already a lower water supply at the onset of the vegetation period [41]. The same effect is also present in the Polish Carpathian Mountains [42]. Water deficit at abnormally high temperatures significantly affects agriculture and natural ecosystems. We have experienced that in vast areas of Europe, particularly during the extremely dry and hot spring months of 2018 [6]. Similarly unfavourable conditions for natural ecosystems, namely very low precipitation, including, as shown by our research, a completely dry November, occurred in the Polish Carpathians in the autumn of 2011.
Although, in the Polish part of the Carpathians, like the rest of Poland [43], no trends to a change in the volume of atmospheric precipitation are observed [35,44], which is a consequence of its cyclical fluctuation, nevertheless, with the growing temperature, water deficit becomes tangible in the economy and may become severe in the future. That risk has been confirmed by our research which has shown no significant change in the number of dry days. Even in this aspect, the research conducted is important. Recent analyses on this subject refer to a previous period and a short series of data from the period 1956–1965 [28].
This research was conducted with reference to a period of 35 years between 1986 and 2020, which is a period of major increase in air temperature. The analysis of periods with no precipitation in the Polish Carpathians has revealed significant variation in their annual course and over the long-term period for all the characteristics investigated, namely the total of rain-free days, total of sequences of days with no precipitation and the average length of such sequences. A general pattern has been observed of an increase in the dry days from the west towards the east. The largest of these numbers, i.e. 243 dry days in a year, testifies to the prevalence of similar circulation conditions over the entire area of the Polish Carpathians. At most stations, there were no statistically significant trends to the characteristics of days with no precipitation investigated. Our results, therefore, corroborate other studies of dry spell in both Central Europe and in other parts of the continent [45]. This would suggest that the nature of dry days variability patterns in mountainous and non-mountainous regions do not differ. This is an obvious result of the high year-to-year variability, which means that only major changes can achieve statistical significance. However, an increase in dry days is observed during the last decade of the study period and at the high-mountain station of Kasprowy Wierch, the pattern started already at the end of the 20th century.
By far the greatest number of dry days (more than 80% of their overall number) across the entire sample of weather stations occurred as part of sequences of dry days. Such periods tend to be short and those ranging from 2 to 7 days account for more than 60% of the overall number of dry days. As the number of days in each period increases beyond that range, their frequency of occurrence rapidly decreases. Indeed, periods numbering 8 to 14 days are 10 times less frequent and longer periods are only sporadic. The most dangerous effects can be caused by long-lasting sequences of dry days (of over a month) which occur in the Polish Carpathians. Such long periods of drought, lasting 4–5 weeks, slow down agricultural production. These longest sequences of dry days, typically encompassing the whole area, are most frequent in autumn. An example is a record-long dry day sequences that occurred in autumn of 2011 and at one station, Raba Wyżna, went on for 40 days. Their occurrence, combined with the shortening of the duration and thinning of the snow cover may even lead to a hydrological drought the following spring.
Therefore, the results considerably expand the existing knowledge on the variability of dry days and even more of dry days sequences in mountainous areas of southern Poland during the latest 35-year period, a period of intensive climate warming. The analysis of the frequency of dry days for individual circulation types revealed a connection between the incidence of such days and the type of baric system and direction of advection. The vast majority of dry days are related to anticyclonic systems. Most dry days correspond to the anticyclonic wedge (Ka) and western anticyclonic situation (Wa). Another significant influence is exerted by southern circulation types, which are responsible for the foehn effect. The most favourable circulation type for dry days is the central anticyclonic situation type (Ca) of high-pressure system, for which the conditional probability amounts to at least 90%. Long dry spells in the Polish Carpathians and elsewhere in Europe [46] are produced by stable high-pressure systems occurring over eastern Europe that bring in dry continental air masses.
Further research seems necessary into dry days, sequences of them, and dry spells, especially breaking them down into the seasons of the plant growth period when water scarcity is the most dangerous. It should be borne in mind that circulation-related pro-cesses also display seasonality. Such research would need to employ carefully selected methods, especially for dry spells, due to the mountainous nature of the study area with its varied land relief including steep slopes that cause rapid water flows. Another worthy avenue would be to probe for any relationships between long dry spells and macro-scale circulation, e.g. the North-Atlantic Oscillation (NAO).

Author Contributions

Conceptualization, R.T., M.C.; methodology R.T., M.C.; software, R.T., M.C.; validation, R.T., M.C.; formal analysis, R.T., M.C.; investigation, R.T., M.C.; resources, R.T., M.C.; data curation, R.T., M.C.; writing—original draft preparation, R.T., M.C.; writing—review and editing, R.T., M.C.; visualization, R.T., M.C.; supervision, R.T., M.C.; project administration, R.T., M.C. All authors have read and agreed to the published version of the manuscript.

Funding

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

We thank Mr. Paweł Pilch and Dr. Martin Cahn for reviewing the English.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Location of the meteorological stations; by the station name there is a reference number starting from the west; in brackets, the stations’ altitudes have been provided in m a.s.l.).
Figure 1. Location of the meteorological stations; by the station name there is a reference number starting from the west; in brackets, the stations’ altitudes have been provided in m a.s.l.).
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Figure 2. Statistical characteristics of the annual number (N) of dry days at 17 stations in the Polish Carpathians (1986-2020); station numbers, see Figure 1.
Figure 2. Statistical characteristics of the annual number (N) of dry days at 17 stations in the Polish Carpathians (1986-2020); station numbers, see Figure 1.
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Figure 3. Long-term variation of the number of dry days (N) at 3 meteorological stations.
Figure 3. Long-term variation of the number of dry days (N) at 3 meteorological stations.
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Figure 4. Share (%) of individual dry days (A) and dry day sequences (B).
Figure 4. Share (%) of individual dry days (A) and dry day sequences (B).
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Figure 5. Statistical characteristics of the number (N) of dry day sequences at 17 stations in the Polish Carpathians (1986–2020); station numbers, see Figure 1.
Figure 5. Statistical characteristics of the number (N) of dry day sequences at 17 stations in the Polish Carpathians (1986–2020); station numbers, see Figure 1.
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Figure 6. Statistical characteristics of the average length (N) of dry day sequences at 17 stations in the Polish Carpathians (1986-2020); station numbers, see Figure 1.
Figure 6. Statistical characteristics of the average length (N) of dry day sequences at 17 stations in the Polish Carpathians (1986-2020); station numbers, see Figure 1.
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Figure 7. Long-term variation in the total number of dry day sequences (N) with the trend line in Tylicz.
Figure 7. Long-term variation in the total number of dry day sequences (N) with the trend line in Tylicz.
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Figure 8. Long-term variation in the average length of the sequences of dry days with the trend line at Kasprowy Wierch.
Figure 8. Long-term variation in the average length of the sequences of dry days with the trend line at Kasprowy Wierch.
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Figure 9. Frequency (%) of circulation types over southern Poland (A) and dry days in circulation types over southern Poland (B) (1986–2020).
Figure 9. Frequency (%) of circulation types over southern Poland (A) and dry days in circulation types over southern Poland (B) (1986–2020).
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Figure 10. Examples of defined anticyclonic circulation types on synoptic maps of Europe [33]: W – High, N – Low.
Figure 10. Examples of defined anticyclonic circulation types on synoptic maps of Europe [33]: W – High, N – Low.
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Figure 11. Conditional probability (%) of dry day occurrence in the circulation types identified.
Figure 11. Conditional probability (%) of dry day occurrence in the circulation types identified.
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Table 1. Mann-Kendall Statistic and coefficient of linear regression (slope) of number of dry days; the slope uncertainty is the standard deviation (1σ).
Table 1. Mann-Kendall Statistic and coefficient of linear regression (slope) of number of dry days; the slope uncertainty is the standard deviation (1σ).
Meteorological station Mann-Kendall Statistic (Z) p-value R2 Slope (number of days/year)
number name
8 Kasprowy Wierch 2.286*** 0.022 0.1536 0.657±0.268
12 Tylicz -2.911*** 0.004 0.2624 -1.292±0.371
17 Teleśnica -3.139*** 0.002 0.2876 -1.033±0.283
Oszwarowa
13 Gorlice -1.676** 0.094 0.095 -0.552±0.297
16 Cisna -3.139** 0.052 0.111 -0.639±0.315
Symbols: trend significant at the level of 0.05 ***, 0.1**, R2 – Coefficient of determination.
Table 2. Total sequences of days with no precipitation (A) and percentage share of days in sequences (B).
Table 2. Total sequences of days with no precipitation (A) and percentage share of days in sequences (B).
No of station 2-7 days 8-14 days 15-21 days > 21 days Max length of the sequence (days) Date of occurrence
A B A B A B A B
1 1184 66.4 120 19.1 7 2.0 2 0.8 30 26.10 -24.11.2011
2 1142 66.2 112 18.3 7 2.0 1 0.6 34 27.10-29.11.2011
3 1084 65.1 105 18.0 10 2.7 1 0.5 26 26.10-20.11.2011
4 1189 64.7 130 20.4 9 2.3 3 1.3 35 21.10-24.11.2011
5 1155 63.6 126 20.0 19 4.9 ― ― 20 10.11-29.11.2011
6 1225 62.0 142 20.5 7 5.0 3 1.3 40 26.10-4.12.2011
7 1170 66.4 100 16.6 7 2.0 1 0.4 25 26.10-19.11.2011
8 1013 66.3 72 14.2 5 1.7 ― ― 20 6.11-25.11.2011
9 1150 62.3 140 21.9 14 3.6 1 0.4 35 21.10-24.11.2011
10 1140 60.9 144 22.2 15 4.0 3 1.1 23 26.10-17.11.2011
11 1176 62.9 147 22.6 12 3.1 2 0.8 31 26.10-25.11.2011
12 1192 66.4 103 16.9 11 3.0 1 0.4 23 3.10-25.10.2000
13 1205 61.5 153 22.3 15 3.7 4 1.5 33 23.09-25.10.2000
14 1055 61.5 120 19.7 17 5.0 1 0.6 33 23.09-25.10.2000
15 1170 61.3 148 22.2 16 4.1 4 1.6 33 23.09-25.10.2000
16 1105 57.0 161 23.9 25 6.2 4 1.9 40 24.04-7.06.1991
17 1130 58.2 175 25.6 17 4.3 2 0.8 33 23.09-25.10.2000
Table 3. Mann-Kendall Statistic and coefficient of linear regression (slope) of the total of dry day sequences; the slope uncertainty is standard deviation (1σ).
Table 3. Mann-Kendall Statistic and coefficient of linear regression (slope) of the total of dry day sequences; the slope uncertainty is standard deviation (1σ).
Meteorological station Mann-Kendall Statistic (Z) p-value R2 Slope (number of days/year)
number name
10 Białka -3.423*** 0.001 0.341 -0.3241±0.078
Tatrzańska
11 Półrzeczki -2.798*** 0.005 0.263 -0.2448±0.071
12 Tylicz -3.096*** 0.002 0.2327 -0.2462±0.078
13 Gorlice -2.159*** 0.031 0.1259 -0.1532±0.070
15 Szczawne -3.238*** 0.001 0.3025 -0.2734±0.072
17 Teleśnica -2.272***
 0.023
 0.1621
 -0.1827±0.070
Oszwarowa
Symbols: trend significant at the level of 0.05 ***, 0.1**; R2 – Coefficient of determination.
Table 4. Mann-Kendall Statistic and coefficient of linear regression (slope) of the average length of the dry day sequences; the slope uncertainty is standard deviation (1σ).
Table 4. Mann-Kendall Statistic and coefficient of linear regression (slope) of the average length of the dry day sequences; the slope uncertainty is standard deviation (1σ).
Meteorological station Mann-Kendall Statistic (Z) p-value R2 Slope (number of days /year)
number name
8 Kasprowy Wierch 2.386*** 0.017 0.1694 0.0152±0.006
9 Węglówka 1.676** 0.094 0.0979 0.0151±0,008
Symbols: trend significant at the level of 0.05 ***, 0.1**; R2 – Coefficient of determination.
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