Marie Curie-Sklodowska University
Department:Meteorology & Climatology Dept.
Position:Faculty Member
Marek updated a paper and a book
Marek added 2 papers and 2 books
Marek updated a paper
Papers
Download (.pdf) 2009 Some Remarks on the Highest Wind Speed Values in Lublin
Co-authored with M. Dobek, A. Kieliszek, K. Siwek; Bulletin of Geography (physical geography series) No. 2/2009, 63-69
This paper presents and analysis of the highest wind speed values recorded at the Meteorological Observatory of the Maria Curie-Skłodowska University in Lublin. The study uses values recorded data (3 times a day) for the period 1981–2005. During the 25 years of the study period there were 19 occasions of wind speed ≥ 10 m/s and 14 cases of winds gusting at or over 20 m/s. Both kinds of situation were noticed most often in January and did not occur in May, June, July or August.
Key words: gust of wind, wind speed, Lublin
1983 Application of Mean Consecutive Values with Weights to Distinguish Ski Seasons as Exemplified by Równia (in Polish)
Annales Universitatis Mariae Curie-Sklodowska Lublin 1983, sec. B, vol. XXXVIII, 183-190
Key words: time filters, low-frequency filter, ‘running mean’ filter, Manhattan metric, cluster analysis, snow cover, ski seasons, complex climatology, Bieszczady Mts., Carpathians.
In a lot of published papers on climatology the running mean (named in this paper as mean consecutive values) are used. The difference between the 2 running means values is equal to the difference between the first element of the first running mean and the last element of the second running mean without using the running mean method! (see the calculation presented on the upper part of page 185).
The filter with weights (named in this paper as mean consecutive values with weights) was applied. There is a down-pass filter.
In this paper an application of mean consecutive values with weights is presented, taking the example of the distinguished ski seasons at Równia (the Bieszczady Mountains – south-east part of Poland). The Manhattan metric and one of the method of cluster analysis has been applied.
1993 Dependence of Chance of Snow Depth on Snowfalls at Brzegi Dolne
Evaporation, Water Balance & Deposition, Proceedings of the International Symposium on Precipitation and Evaporation, A. Becker, B. Sevruk, M. Lapin (eds.), Vol. 3, Bratislava, 329-334.
The daily snow depth and daily solid precipitations during 25 winters at the meteorological station Brzegi Dolne (SE parth of Poland) was analyzed.
The results (only for days with snow falls):
- in about half of the cases snow depth increases;
- in 13% of the cases snow cover occurs without any changes of its depth;
- in 24% of the cases snow depth decreases;
- in 13% of cases in not snow cover in both morning meteorological observations.
The snow falls which give the increase of snow depth for more than 10 cm (15 cm) from day to day, appear on the average 2.8 (1.1) times a year.
2000 Circulation Seasons in the Upper Vistula River Basin (in Polish)
Acta Universitatis Nicolai Copernici, Geografia XXXI, Nauki matematyczno-przyrodnicze, z. 106, Toruń, 201–214
Key words: atmospheric circulation, seasons, south Poland, Manhattan metric, time filtering.
On the basis of the calendar of atmospheric circulation types over the upper Vistula river basin, drawn up by T. Niedźwiedź, the frequency of occurrence of particular types on successive days of the year was determined. The frequency was calculated for the long-term period of 1874-1998.
Then, by means of the Manhattan metric and a triangular 15-element filter, the distance of every day from every other day was calculated in a 21-dimension space (as T. Niedźwiedź's classification applied here is made up of 21 types). The resulting 365x365 matrix was used to order particular days. The Wrocław dendrite metod (one of the cluster analysis methods) was then applied [Ogólna grupa ... 1951]. The longest section forming the dendrite joins July 6th and 7th. It is during that time, therefore, that the greatest changes in the structure of circulation types in the annual cycle take place. In distinguishing the seasons the criterion was adopted that a season must last at least 5 days. The year was divided into 8 circulation types. The longest one, season H (23 June - 22 November) was as long as 153 days, while the shortest ones, C (16 - 24 April) and F (28 May - 6 June) were 9 days each. Compared to other seasons, season H was characterised by the greatest frequency of occurrence of anticyclonic types (58.4%), as well as the lowest frequency of air advection from the east (6.3%, while the mean annual frequency of air advection from the east was 9.4%, and during season E it reached 13.6%).
The relatively long season A (23 November - 12 February, 83 days) was also characterised by a considerable share of anticyclonic types (57.7%). This season, of all seasons, was characterised by the greatest share of advection, both from the west (28.3%) and the south-west (12.0%). On the other hand, the frequency of advection from the north and the north-east achieved at that time its minima (respectively 3.9% and 3.1%).
Attention is drawn to the maxima of the frequency of occurrence of air advection from the south and the south-east in season B (14 February - 15 April), as well as the minima from those directions in season G (6 - 22 June). A maximum of the frequency of air advection from the east occurred in season E (8 - 28 May).
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1993 Some snow cover characteristics in the Bieszczady mountains
[in:] Sixteenth International Conference on Carpathian Meteorology, Smolenice 1993, pp.118-123, ISBN 80-85754-01-0, Bratislava 1993.
The useful method CURVES OF SNOW DEPTH for characterizing snow cover was proposed. One can compare snow cover between some winters or between some stations using this method (see page 120).
Daily snow depth at 30 meteorological stations in the Bieszczady Mts. was analysed. Authors own snow measurements in the high part of these mountains were performed. The snow characteristics were calculated by the equations, too.
E.g. D = 0.101 h + 46.8
D - the annual number of days with snow cover; h – elevation a.s.l.
Key words: snow cover, method curves of snow depth, Carpathians, Bieszczady, winter.
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