The climate of Montenegro: Modificators and types - part one

Burić, Dragan; Ducic, Vladan; Mihajlović, Jovan

doi:10.2298/gsgd1304083b

Cited by 24 publications

(17 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As for future, we plan to extend this study beyond analyzing just 11 main stations as Montenegro has a large number of meteorological stations that operate in accordance with the standards set by the World Meteorological Organization -WMO [12,13]. In addition, we intend to significantly extend the considered period.…”

Section: Resultsmentioning

confidence: 99%

“…3). It can be concluded that Köppen type, with respect to [12,13], has changed for the following stations: Bijelo Polje, Nikšić and Žabljak. It can be due to these regions being sensitive to climate variations, but this discussion is out of scope of this paper.…”

Section: Data Mining Approach In Climate Classificationmentioning

confidence: 98%

“…Montenegro is a maritime country, with 293 km of the Adriatic coastline. Montenegro's territory measures 13,812 square km [12]. Our dataset covers all 11 main meteorological stations in Montenegro: Bar, Berane, Bijelo Polje, Cetinje, Herceg Novi, Kolasin, Niksic, Podgorica, Pljevlja, Ulcinj, Zabljak.…”

Section: Dataset Description and Pre-processingmentioning

confidence: 99%

See 2 more Smart Citations

Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro

2018

View full text Add to dashboard Cite

Abstract:In this study, we present results of applying data mining techniques on meteorological dataset obtained from the Institute of Hydrometeorology and Seismology of Montenegro. The dataset covers the measurements taken from all 11 main meteorological stations in Montenegro for the period 2010-2015. We build new climate classification system based on decision tree. The system is simpler (i.e. uses fewer attributes) and more accurate than the well-known Köppen climate classification system. In addition, we propose a novel procedure for climate network construction. Finally, we identify the regions within the same climate type in Montenegro's climate network with the Girvan-Newman algorithm for community detection and achieve better results with respect to classical K-means and hierarchical clustering algorithms.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Data Mining Approach In Climate Classificationmentioning

confidence: 98%

See 1 more Smart Citation

Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro

2018

View full text Add to dashboard Cite

show abstract

“…Obtaining detailed rainfall analysis is of particular importance, especially taking into account the recent floods in 2010, 2012, and 2013 in Montenegro that caused serious damage (Burić et al, 2013.…”

Section: Discussionmentioning

confidence: 99%

Recent trends in daily rainfall extremes over Montenegro (1951–2010)

Burić¹,

Luković²,

Bajat³

et al. 2015

Preprint

View full text Add to dashboard Cite

Abstract. More intense rainfall may cause a range of negative impacts upon society and the environment. In this study we analyzed trends in extreme ETCCDI (Expert Team on Climate Change Detection and Indices) rainfall indices in Montenegro for the period 1951–2010. Montenegro has been poorly studied in terms of rainfall extremes, yet it contains the wettest Mediterranean region known as Krivošije. Several indices of precipitation extremes were assessed including the number of dry days and rainfall totals, and their trends to identify possible changes. The results generally suggest that the number of days with precipitation decreased while rainfall intensity increased particularly in south-western parts of the country. A slight tendency towards intense rainfall events is suggested. Calculated trends for each index are spatially presented and examined using a plotGoogleMaps software package. This study also examined spatial pattern of relationship between extreme rainfall indices and North Atlantic Oscillation. Results suggested negative, mainly statistically significant correlations at annual, winter and autumn scale.

show abstract

“…The valley is open to the north and north-west through the river basins, while beyond the Skadar Lake and the Bojana River it is wider open to the south and the Adriatic Sea. Mathematical-geographical positions, as well as the proximity of the sea and relief features are the primary factors that affect the climate of Podgorica (Burić et al, 2013).…”

Section: Research Areamentioning

confidence: 99%

Precipitation, humidity and cloudiness in Podgorica (Montenegro) during the period 1951-2018

Burić¹,

Doderović²

2019

Geographica Pannonica

View full text Add to dashboard Cite

This paper presents the results of a trend analysis of three climate elements: precipitation, cloudiness and humidity. Almost the entire period of instrumental measurements (precipitation and humidity) and visual observations (cloudiness) are covered. In the observed 68-year period , the trend of annual and seasonal precipitation amounts is insignificant. Though, there is a significant decrease in the number of days with precipitation ≥ 1 mm, which implies a movement towards more arid conditions. On the other hand, the number of days with extreme rainfall ≥ 40 and 50 mm is increasing. In Podgorica, the annual statistics of days with snow cover decreases as well. There is also a decrease in the relative humidity and cloudiness, and with both elements the trend is insignificant only in the autumn season. The results of the trend calculation show that the number of gloomy days is more intensively reduced than the number of increasing bright days. In general, the results of the research show that the climate of Podgorica tends to be more arid with more extreme weather events. The climate variations happening in this city are, to small amount, caused by the urbanization process. Podgorica has the character of an urban heat island in a cooler environment, with an average annual intensity of about 0.7°C and the highest in winter (about 0.8°C). The most symptomatic indicator of urbanization is temperature, but anthropogenic heat production in the city (asphalt, constructions, increase of aerosols, etc.) also affects other climate elements. Compared to the non-urban environment, Podgorica has a higher annual rainfall of 100 mm and a lower humidity of 3%, while this difference is not noticeable in the overall cloudiness.

show abstract

The climate of Montenegro: Modificators and types - part one

Cited by 24 publications

References 6 publications

Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro

Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro

Recent trends in daily rainfall extremes over Montenegro (1951–2010)

Precipitation, humidity and cloudiness in Podgorica (Montenegro) during the period 1951-2018

Contact Info

Product

Resources

About