In the last decades, cities worldwide have experienced accelerated development, so that continuous urbanization and its impact is presently one of the most important topics in diff erent fi elds of research. The main aim of this study is to identify the intensity of the atmospheric urban heat island in Cluj-Napoca city, through direct observations campaigns by using fi xed points and transect measurements. The data has been collected over a period of 6 months (May-October 2015). The measurements have been performed mainly in anti-cyclonic weather condition, during the night, between 23:00 and 03:00. The profi les trajectories followed the main roads of the city on directions North-South, East-West, and Northwest-Southeast. 8 fi xed points have been chosen in order to highlight best the temperature patt erns in diff erent Local Climate Zones (LCZs). The main fi ndings of the study are the followings: the direct observations performed in three seasons (spring, summer and autumn) revealed the existence of an atmospheric urban heat island in Cluj-Napoca city; the warmest areas are compact high-rise and compact midrise, located in the eastern half of the city, where the temperature increases by more than 2.0 °C, as average value for all campaigns, but the maximum values, recorded in the summer are higher than 3.0 °C; the coolest areas are sparsely built areas and the large low-rise/water areas, where the temperature is quite similar to that recorded in the nearby rural areas (diff erence of 0.0-0.1 °C, as average values); local factors, such as mountain breeze and topography have a great impact on the atmospheric urban heat island confi guration.
The purpose of this study is the identification of the areas with an increased frequency of convective developments, especially those affected by hail. All convective cells accompanied by hail, developed in the 2019 warm season in Bobohalma WSR-98D coverage radius were analyzed, in order to determine their areas of action in May-September 2019, as well as the mesocyclones detected. With the help of a soft created in Python programming language and developed within South -Transylvania Regional Forecast Center -Sibiu, all the signals with hail larger than 0.5 inches (1.27 cm) were extracted from the hail algorithms generated by the Principal User Processor (PUP).
The paper presents and analyzes the variations of meteorological and specific snow parameters which favored the onset of avalanches in the winter season 2019-2020 in the mountains monitored by the Snow and Avalanche Program of the National Meteorological Administration, taking also into account the estimated avalanche risks for each massif. The analyzed parameters are those measured during the daily observations and weekly measurements at the meteorological stations Bâlea-Lac, Vârful Omu, Sinaia, Predeal, Parâng, Țarcu, Semenic, Vlădeasa, Iezer, Călimani, Ceahlău, as well as during some measurement campaigns outside the meteorological stations area. Avalanche cases and favorable conditions for their triggering are included in a database, to be analyzed and used to better estimate the avalanche risk and reduce their effects on the environment and people. The favorable conditions for triggering the avalanches were due to both significant snowfall, high temperature values or their sudden increase, as well as the transformations that take place inside the snow layer, as a result of which unstable structures are formed.
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