Badania Fizjograficzne, Seria A, Tom 68, 2017
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Browsing Badania Fizjograficzne, Seria A, Tom 68, 2017 by Author "Kendzierski, Sebastian"
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Item Porównanie przebiegu temperatury powietrza i wilgotności względnej w Petuniabukta i Svalbard-Lufthavn (Spitsbergen) w sezonie letnim 2016(Wydawnictwo Poznańskiego Towarzystwa Przyjaciół Nauk, 2017) Kendzierski, SebastianThis work presents the values of air temperature and relative humidity measured in the period 7th July 2016 – 31th August 2016 in Petuniabukta and Svalbard-Lufthavn. The course of air temperature and humidity was compared. These values depend primarily on the type of atmospheric circulation. In the article, basic statistical methods were used (arithmetic mean, standard deviation, correlation Pearson coefficient). The research revealed that Petuniabukta point is colder by 0.2°C and has higher average relative humidity of about 3%. Higher temperatures cause smaller differences of air temperature and relative humidity at the tested points. Also in this case, a lower value for relative humidity was observed.Item Verifying reliability of selected meteorological elements in the GFS and WRF models in Poznań(Wydawnictwo Poznańskiego Towarzystwa Przyjaciół Nauk, 2017) Kendzierski, SebastianThe article presents the results of a study comparing the reliability of the GFS and WRF numerical models using different spatial resolutions. The study was carried out on the basis of a series of model and observational data for a period of 13 months from January 2015 to January 2016 with computational grid coordinates corresponding to the location of Poznań. Forecast quality was compared for basic meteorological parameters – air temperature, atmospheric pressure and wind speed. The quality of forecasts for the meteorological parameters included in the study decreased systematically in subsequent time steps in the case of both the WRF and the GFS models. It improved in the initial hours of simulation after a higher resolution was applied for the computational grid in the WRF model (1,75 km) as can be seen from the minimal Mean Error values and very high correlation. For forecast time t = 0–60 h, WRF generated better results than GFS, especially when it comes to the quality of forecasting the atmospheric pressure field.