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Naslov:Long term monitoring and connection between topography and cloud cover distribution in Serbia
Avtorji:ID Valjarević, Aleksandar (Avtor)
ID Morar, Cezar (Avtor)
ID Živković, Jelena (Avtor)
ID Niemets, Liudmyla (Avtor)
ID Kićović, Dušan (Avtor)
ID Golijanin, Jelena (Avtor)
ID Gocić, Milena (Avtor)
ID Martić Bursać, Nataša (Avtor)
ID Stričević, Ljiljana (Avtor)
ID Žiberna, Igor (Avtor)
ID Bačević, Nikola (Avtor)
ID Milevski, Ivica (Avtor)
ID Durlević, Uroš (Avtor)
ID Lukić, Tin (Avtor)
Datoteke:.pdf Valjarevic-2021-Long_Term_Monitoring_and_Conne.pdf (5,65 MB)
MD5: 0B9D9902170A0C88CBD4CE522A15CEE8
 
URL https://doi.org/10.3390/atmos12080964
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FF - Filozofska fakulteta
Opis: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.
Ključne besede:clowd cover, remote sensing, GIS, topography, statistics, trends
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:27.06.2021
Datum sprejetja članka:25.07.2021
Datum objave:27.07.2021
Založnik:MDPI
Leto izida:2021
Št. strani:Str. 1-22
Številčenje:Letn. 12, št. 8, št. članka 964
PID:20.500.12556/DKUM-91072 Novo okno
UDK:551.588.2
COBISS.SI-ID:74876931 Novo okno
DOI:10.3390/atmos12080964 Novo okno
ISSN pri članku:2073-4433
Datum objave v DKUM:18.10.2024
Število ogledov:201
Število prenosov:18
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Atmosphere
Skrajšan naslov:Atmosphere
Založnik:MDPI AG
ISSN:2073-4433
COBISS.SI-ID:522992153 Novo okno

Gradivo je financirano iz projekta

Financer:EC - European Commission
Program financ.:H2020
Številka projekta:952384
Naslov:Twinning for the advancement of data-driven multidisciplinary research into hydro-climatic extremes to support risk assessment and decision making
Akronim:EXtremeClimTwin

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:27.07.2021

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:daljinsko zaznavanje, geografski informacijski sistem, topografija, statistika, trendi


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