Прегледај по Аутор "Lukić, Tin"

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    Long Term Monitoring and Connection between Topography and Cloud Cover Distribution in Serbia
    (MDPI, 2021) Valjarević, Aleksandar; Morar, Cezar; Živković, Jelena; Niemets, Liudmyla; Kićović, Dušan; Golijanin, Jelena; Gocić, Milena; Martić Bursać, Nataša; Stričević, Ljiljana; Žiberna, Igor; Bačević, Nikola; Milevski, Ivica; Durlević, Uroš; Lukić, Tin
    The use of weather satellite recordings has been growing rapidly over the last three decades. Determining the patterns between meteorological and topographical features is an important scientific job. Cloud cover analysis and properties can be of the utmost significance for potential cloud seeding. Here, the analysis of the cloud properties was conducted by means of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite recordings. The resolution of used data was 1 km2 within the period of 30 years (1989–2019). This research showed moderate changing of cloudiness in the territory of Serbia with a high cloudiness in February, followed by cloudiness in January and November. For the past three decades, May has been the month with the highest cloudiness. The regions in the east and south-west, and particularly in the west, have a high absolute cloudiness, which is connected with the high elevation of the country. By means of long term monitoring, the whole territory of Serbia was analyzed for the first time, in terms of cloudiness. Apart from the statistical and numerical results obtained, this research showed a connection between relief and clouds, especially in the winter season. Linear regression MK (Mann-Kendall test) has proven this theory right, connecting high elevation sides with high absolute cloudiness through the year.
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    The future of edible crops in Europe and their maximum point of resistance in temperature increase
    (2020) Valjarević, Aleksandar; Milanović, Miško; Golijanin, Jelena; Milinčić, Miroljub; Lukić, Tin
    In the last decades, knowledge about the climate has increased significantly. Climate change today is the subject of many sciences, including meteorology, climatology, geology, geography, geophysics, astronomy, etc. The present predictions with updated meteorological data and with data of the number of particles of CO2 in the troposphere may give satisfying results. Forecasting for industrial grains such as maize, soybean, and wheat will be essential for industry and everyday life. Within the last agreement of climate change in Paris, global temperatures will continuously be increasing by 2100. In this research, we used a synthetic grid with agroclimatological data which comprises predictions until 2100. These data were found in the sub-section called World Clim Version 1 or in the CMIP5 database. After numerical and geospatial GIS analysis, we got the following predictions: (i) slight- no temperature changes or changes including the increase of temperature by 0.5 °C, (ii) moderate- temperature increases by 2.0 °C, (iii) severe- temperature increases by 5.0 °C, and (iv) incredible- temperature increases to extreme values, incase of which the survival of plants will be endangered.