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Wyszukujesz frazę "Kossowska-Cezak, Urszula" wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
Heat and Cold Waves in an Annual Cycle Air Temperatures in Warsaw (1951-2010)
Autorzy:
Stopa-Boryczka, Maria
Boryczka, Jerzy
Kossowska-Cezak, Urszula
Wawer, Jolanta
Powiązania:
https://bibliotekanauki.pl/articles/2035471.pdf
Data publikacji:
2011-06-01
Wydawca:
Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
Tematy:
annual cycle
cold wave
heat wave
spectrum
period
amplitude
interference
Opis:
Heat and cold waves in Warsaw (the Okęcie district) have been determined determined basing on daily average air temperature values in Warsaw (the Okęcie district), measured for 60 years between 1951 and 2010. Air temperature cycles, i.e. periods, amplitudes and phases have been determined by means of a sinusoidal regression method. Especially worth noting are 15 to 18-day long cycles of air temperature in given months (e.g. 16-day long cycles during 6 months: March, April, May, August, September, and October). Heat and cold waves result from interferences of cycles whose duration ranges from several to teen days of daily temperature values, and long-term cycles of average annual temperature.
Źródło:
Miscellanea Geographica. Regional Studies on Development; 2011, 15; 103-114
0867-6046
2084-6118
Pojawia się w:
Miscellanea Geographica. Regional Studies on Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Verification of forecasts of periodic changes in the climate of Warsaw in the period 1779-2010
Autorzy:
Boryczka, Jerzy
Stopa-Boryczka, Maria
Kossowska-Cezak, Urszula
Wawer, Jolanta
Powiązania:
https://bibliotekanauki.pl/articles/2035809.pdf
Data publikacji:
2012-12-28
Wydawca:
Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
Tematy:
Air temperature
Wolf numbers
period
interference
forecast
tree ring
Opis:
The air temperatures recorded at Warsaw-Okęcie in 1951-2010 were compared with forecasts for the period 1980-2010 and 1991-2010, i.e. 31 and 20 years ahead. Accurate predictions of air temperatures in Warsaw in 1980-2010 were calculated using the cycles identified by applying the sinusoidal regression method to a series of monitoring results obtained in Warsaw between 1779 and 1979. The high accuracy of these forecasts is the result of a similar progression of measured and forecast values over a number of years. The prediction of climate change in the Northern Hemisphere for example, caused by interference of long solar radiation cycles as well as variations in the concentrations of the δ18O oxygen isotope in the Arctic ice cores, requires a larger series of data points.
Źródło:
Miscellanea Geographica. Regional Studies on Development; 2012, 16, 2; 16-22
0867-6046
2084-6118
Pojawia się w:
Miscellanea Geographica. Regional Studies on Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The dependency between annual air temperature and solar activity. A case study of Warsaw in 1951-2010.
Autorzy:
Boryczka, Jerzy
Stopa-Boryczka, Maria
Kossowska-Cezak, Urszula
Wawer, Jolanta
Powiązania:
https://bibliotekanauki.pl/articles/2108255.pdf
Data publikacji:
2017-10-04
Wydawca:
Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
Tematy:
Cold waves
heat waves
solar activity
regression sinusoid
period
interference
Opis:
The paper demonstrates a dependency between the annual average daily air temperature course (cycle) in Warsaw and the profile of annual solar activity linked to rotation (with a period of 25-31 days). Waves of cold (ΔT <0) or heat (ΔT≥ 0) were defined as ΔT deviations of daily average temperature (T) using a regression sinusoid f (t) with a period of 365 days. Cold waves were found to generally occur at times of low daily average solar activity (relative to 60-year average), while hot waves tended to coincide with high Wolf numbers. The cycles of the variables were derived using the sinusoid regression method (Boryczka 1998). The maximum sinusoid regression of the annual air-temperature cycle T is delayed by nearly one month vis-à-vis the maximum declination of the Sun. The maximum of the regression sinusoid of daily average Wolf numbers (W) was delayed from the maximum declination by more than two months.
Źródło:
Miscellanea Geographica. Regional Studies on Development; 2017, 21, 3; 132-138
0867-6046
2084-6118
Pojawia się w:
Miscellanea Geographica. Regional Studies on Development
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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