20.500.12556/DKUM-91072 Long term monitoring and connection between topography and cloud cover distribution in Serbia 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. clowd cover remote sensing GIS topography statistics trends daljinsko zaznavanje geografski informacijski sistem topografija statistika trendi true true true MDPI Angleški jezik Slovenski jezik Članek v reviji 2024-10-18 12:12:24 2024-10-18 12:23:24 2024-10-21 09:51:29 0000-00-00 00:00:00 2021 0 0 Str. 1-22 št. 8, št. članka 964 Letn. 12 2021 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2021-06-27 2021-07-25 2021-07-27 551.588.2 74876931 10.3390/atmos12080964 2073-4433 Valjarevic-2021-Long_Term_Monitoring_and_Conne.pdf Valjarevic-2021-Long_Term_Monitoring_and_Conne.pdf 1 0B9D9902170A0C88CBD4CE522A15CEE8 e9ca158ae94275a271523340ca00066b3edbcdafcd766e105aa805ca3a5305e1 c74f2b26-8d3a-11ef-a8b7-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=186654 https://doi.org/10.3390/atmos12080964 0 7acbcc3c-8d39-11ef-a8b7-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=186653 Filozofska fakulteta 0 0 0