A "consensus clustering" methodology is applied to long-term (1950-2010) Turkey's meteorological data (temperature, humidity and precipitation) in order to analyze the seasonal variations. The consensus clustering analysis applied is based on the methodology of disturbing the original data using resampling techniques, proposed by Monti et al [2]. We employed four different clustering algorithms (Agglomerative Nesting, Divisive Analysis, Partitioning Around Medoids and K-means) in order to form a consensus solution among different algorithms. Results indicated that Turkey is experiencing longer winter and summer, and rather short spring and fall seasons than usual.


Nonstationarity impacts on frequency analysis of yearly and seasonal extreme temperature in Turkey
Aziz, Rizwan; Yücel, İsmail; Yozgatlıgil, Ceylan (Elsevier BV, 2020-07-01)
This study investigates the temporal variability in yearly and seasonal extreme temperatures across Turkey using stationary and nonstationary frequency analysis. The analyses are conducted using Generalized Extreme Value (GEV), Gumbel and Normal distributions for minimum and maximum temperatures during historical (1971-2016) and projection period (2051-2100). The future nonstationarity impacts are quantified using a 12-member ensemble of The Coordinated Regional Downscaling Experiment (CORDEX) regional clim...
Bostan, P. A.; Akyürek, Sevda Zuhal (2010-05-28)
In this study, mean annual precipitation and temperature values observed at 225 meteorological observations over Turkey are used to disclose spatial distribution of mean annual precipitation and temperature values. Data components were obtained from the Turkish State Meteorological Service for 34 years period (1970-2003). The basic objectives of the study are: to infer the nature of spatial variation of precipitation and temperature over Turkey based on meteorological observations and to model the pattern o...
Global spatiotemporal consistency between meteorological and soil moisture drought indices
Afshar, Mahdı Hesamı ; Bulut, B.; Düzenli, Eren; Amjad, M.; Yılmaz, Mustafa Tuğrul (2022-04-01)
In this study, the consistency of a set of meteorological and soil moisture drought indices has been analyzed using the linear relationship between them. Commonly used Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) are compared to soil moisture drought index (SSMI) between the years 1981 and 2019. The most consistent meteorological drought index with SSMI has been selected as the best representative of it for 175,840 pixels, globally. Later, different c...
Seasonal chemical and mineralogical variability of atmospheric particles in the coastal region of the Northeast Mediterranean
Kubilay, NN; Saydam, AC; Yemenicioglu, S; Kelling, G; Kapur, S; Karaman, C; Akca, E (1997-02-01)
A time-serial analysis of atmospheric particles collected since 1990 at a coastal site bordering the northeastern Mediterranean Sea shows that the collected samples display seasonal patterns in both concentration and color. The 1990-91 and 1992 collections yield an annualised average of around 0.5 g/day dust loading reducing to around 0.3 g/day when the sea-salt contribution is excluded. The highest concentrations of atmospheric particles of continental origin for both natural (e.g. Fe, Mn) and anthropogeni...
Seasonal and inter-annual variability of plankton chlorophyll and primary production in the Mediterranean Sea: a modelling approach
Lazzari, P.; Solidoro, C.; Ibello, Valeria; Salon, S.; Teruzzi, A.; Beranger, K.; Colella, S.; Crise, A. (2012-01-01)
This study presents a model of chlorophyll and primary production in the pelagic Mediterranean Sea. A 3-D-biogeochemical model (OPATM-BFM) was adopted to explore specific system characteristics and quantify dynamics of key biogeochemical variables over a 6 yr period, from 1999 to 2004. We show that, on a basin scale, the Mediterranean Sea is characterised by a high degree of spatial and temporal variability in terms of primary production and chlorophyll concentrations. On a spatial scale, important horizont...
Citation Formats
A. Y. Kursun, C. İyigün, C. Yozgatlıgil, and İ. Batmaz, “SEASONAL VARIATION OF TURKEY: A CONSENSUS CLUSTERING APPROACH,” 2012, vol. 7, Accessed: 00, 2020. [Online]. Available: