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Title:Long term monitoring and connection between topography and cloud cover distribution in Serbia
Authors:ID Valjarević, Aleksandar (Author)
ID Morar, Cezar (Author)
ID Živković, Jelena (Author)
ID Niemets, Liudmyla (Author)
ID Kićović, Dušan (Author)
ID Golijanin, Jelena (Author)
ID Gocić, Milena (Author)
ID Martić Bursać, Nataša (Author)
ID Stričević, Ljiljana (Author)
ID Žiberna, Igor (Author)
ID Bačević, Nikola (Author)
ID Milevski, Ivica (Author)
ID Durlević, Uroš (Author)
ID Lukić, Tin (Author)
Files:.pdf Valjarevic-2021-Long_Term_Monitoring_and_Conne.pdf (5,65 MB)
MD5: 0B9D9902170A0C88CBD4CE522A15CEE8
 
URL https://doi.org/10.3390/atmos12080964
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FF - Faculty of Arts
Abstract: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.
Keywords:clowd cover, remote sensing, GIS, topography, statistics, trends
Publication status:Published
Publication version:Version of Record
Submitted for review:27.06.2021
Article acceptance date:25.07.2021
Publication date:27.07.2021
Publisher:MDPI
Year of publishing:2021
Number of pages:Str. 1-22
Numbering:Letn. 12, št. 8, št. članka 964
PID:20.500.12556/DKUM-91072 New window
UDC:551.588.2
ISSN on article:2073-4433
COBISS.SI-ID:74876931 New window
DOI:10.3390/atmos12080964 New window
Publication date in DKUM:18.10.2024
Views:202
Downloads:18
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Atmosphere
Shortened title:Atmosphere
Publisher:MDPI AG
ISSN:2073-4433
COBISS.SI-ID:522992153 New window

Document is financed by a project

Funder:EC - European Commission
Funding programme:H2020
Project number:952384
Name:Twinning for the advancement of data-driven multidisciplinary research into hydro-climatic extremes to support risk assessment and decision making
Acronym:EXtremeClimTwin

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:27.07.2021

Secondary language

Language:Slovenian
Keywords:daljinsko zaznavanje, geografski informacijski sistem, topografija, statistika, trendi


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