Hasan TATLI

Prof. Dr. Hasan TATLI

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2020 in Tourism Management
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Journal Article
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ÇAÇiğdem Kaptan Ayhan
Çiğdem Kaptan Ayhan
TTTülay Cengi̇z Taşlı
Tülay Cengi̇z Taşlı
FÖFerah Özkök
Ferah Özkök
HTHasan TATLI
Hasan TATLI

1 October 2015 in Meteorological Applications
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Journal Article
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HTHasan TATLI
Hasan TATLI
This study proposes the Hurst exponent (H) to detect persistence in the Palmer Drought Severity Index (PDSI) over Turkey. Since a fractal structure admits the behaviour of global determinism and local randomness, the H exponent values could be used to detect self‐similar statistical structure of the time series. Additionally, the H value >0.5 and near 1 shows the intensity level of persistence. The term persistence may be assessed as a criterion to be used as a measure of predictability. Moreover, the predictability index, fractal dimension and autocorrelation function of the PDSI values can also be obtained from the H values. Nevertheless, it is not easy to find a spatial meaning of information content of the results obtained by the methods used in the present study. For that reason, the Mann‐Kendall (MK) trend test was also used, and the results showed that significant negative trends are widespread throughout the country. As expected, the H values were close to 1 in places where statistically significant trends exist. The high values of the H exponent in all the regions can be explained by the droughts observed there that might be caused due to the possible associations with the large‐scale atmospheric circulations. In this context, it is suggested that the droughts can be predictable by constructing the appropriate general climate circulation models.

13 September 2010 in International Journal of Climatology
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MTMurat Türkeş
Murat Türkeş
HTHasan TATLI
Hasan TATLI
In this study, we suggest the spectral clustering (SC), a hybrid clustering technique based on singular value decomposition (SVD) and K‐means for grouping features of precipitation totals of 96 stations in Turkey. Clustering process establishes an exhaustive set of occupied regimes into distinct climatic zones. Results of the SC satisfactorily represent the influences of the synoptic‐scale weather systems including such as the mid‐latitude and Mediterranean frontal cyclones, and the mid‐latitude travelling and eastern Europe high pressures in winter, sub‐tropical Azores high pressure and monsoon low in summer. Results of the SC also well display the influences of local‐scale atmospheric disturbances, and direct influences of physical geographical features of Turkey (i.e. exposure, topography, orography, land‐sea distribution, continentality and the high Anatolian peninsula) on the geographical variability and coherent distribution of the annual precipitation totals over Turkey. Finally, based on the results of the SC method employed to annual precipitation totals of 96 stations in Turkey for the period of 1929–2007, eight clusters of precipitation coherent zones are determined, namely Black Sea, Northwest Turkey, southern Aegean and western Mediterranean, Mediterranean, West Continental Central Anatolia, East Continental Central Anatolia, Continental eastern and south‐eastern Anatolia. Copyright © 2010 Royal Meteorological Society

20 December 2023 in Theoretical and Applied Climatology
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HSHıdır Serkendiz
Hıdır Serkendiz
HTHasan TATLI
Hasan TATLI
AKAyşegül Kılıç
Ayşegül Kılıç
MCMahmut Cetin
Mahmut Cetin
ASAli Sungur
Ali Sungur

8 July 2024 in Earth Science Informatics
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FÖFatma YAMAN Öz
Fatma YAMAN Öz
EÖEmre Özelkan
Emre Özelkan
HTHasan TATLI
Hasan TATLI
This research presents a comprehensive drought analysis using climate data obtained from 219 homogeneously distributed meteorological stations in Türkiye between 1991 and 2022. In this context, Standard Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI) and Reconnaissance Drought Index (RDI) drought indices were used and comparative analysis was made. Türkiye. The study demonstrates that below-normal precipitation over extended periods and increasing temperatures have contributed to the increased frequency of meteorological drought events. Türkiye's topographic conditions, particularly its location in the Mediterranean basin, significantly influence drought occurrences. It is noted that over the past 20 years, Türkiye has been trending towards drier conditions, with rising temperatures reinforcing this trend. The study observes that the moderate drought class range is the most frequently recurring in the SPI, SPEI, and RDI methods utilized. Regarding atmospheric conditions affecting the climate in Türkiye, it is observed that increased drought severity stands out prominently in years when the North Atlantic Oscillation is positive. During these years, increased drought severity is evident in the SPI, SPEI, and RDI indices, particularly in winter and autumn, while a wide area experiences drought effects in the summer months. Long-term analyses emphasize that drought periods occur less frequently but have more prolonged impacts, attributed to variations in precipitation patterns from year to year and the influence of rising temperatures due to global climate change. The potential future increase in drought in the Mediterranean basin due to global climate change and Türkiye's vulnerability to this situation could have adverse effects on water resources, food security, energy sources, and ecosystems.

6 September 2023 in Environmental Monitoring and Assessment
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Journal Article
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HSHıdır Serkendiz
Hıdır Serkendiz
HTHasan TATLI
Hasan TATLI