Investigating the Seasonal Patterns of Continental Central Anatolia by Clustering

Date

2012-04-28

Author

Akal, Tülay
Purutçuoğlu Gazi, Vilda
Batmaz, İnci
Kartal Koç, Elçin
İyigün, Cem
Yozgatlıgil, Ceylan

Metadata

Show full item record

Item Usage Stats

75
views

0
downloads

We investigate the effect of climate change on the seasonal patterns of Continental Central Anatolia region of Turkey. For this purpose, 13 different meteorological variables including total precipitation, average pressure, average vapour pressure, average cloudiness, average relative humidity and various temperatures such as minimum, maximum and average temperature recorded monthly at 52 stations from 1950 to 2010 are clustered individually and altogether as one using the hierarchical and partition around medoits (PAM) methods. Results are reported in seasonal patterns in the region.

URI

https://hdl.handle.net/11511/70559

Conference Name

The 25th Conference of European Chapter on Combinatorial Optimization (2012)

Collections

Department of Statistics, Conference / Seminar

Suggestions

OpenMETU
Core

Identifying impacts of climate change on water resources using CMIP6 simulations: Havran basin case Çaktu, Yasemin; Yücel, İsmail; Fıstıkoğlu, Okan; Department of Earth System Science (2022-9-2) This study aims to investigate climate change effect on precipitation, temperature and discharge in Havran basin which has thousands of decares of agricultural lands. Changes in precipitation and temperature were determined using 10 global climate models (GCMs) for total precipitation and 13 GCMs for average temperature from Coupled Model Intercomparison Project Phase 6 (CMIP6) for the historical period, SSP2-4.5 (moderate-case) and SSP5-8.5 (worst-case) scenarios. Both station observations and ERA5-Land re...
ASSESSING DROUGHT BY STANDARDIZED PRECIPITATION INDEX WITH OBSERVATION AND CORDEX DATA IN TURKEY’S MEDITERRANEAN REGION Poyraz, Anıl; Yücel, İsmail (2018-06-02) This study aims to assess the trends in drought by using the Standardized Precipitation Index(SPI) for 14 stations from Mediterranean climate region of Turkey. The SPI values for different timescales - from 1month to 1 year - are estimated for past and future by using the observed, uncorrected and bias corrected model data. The model data that correspond the grids which consist these 14 stations was obtained from 12 different climate models on CORDEX project. Bias correction method was applied using equival...
Evaluating the performance of a WRF initial and physics ensemble over Eastern Black Sea and Mediterranean regions in Turkey Düzenli, Eren; Yücel, İsmail; Yılmaz, Mustafa Tuğrul (Elsevier BV, 2021-01-15) The physics- and initial-based ensemble approach for Weather Research and Forecasting (WRF) model is applied for predicting four different extreme precipitation events that occurred in summer and autumn over the two most flood-prone regions of Turkey, namely; the Eastern Black Sea (EBS) and Mediterranean (MED). A total of 48 runs, each of which includes two nested domains, is designed considering four microphysics (MP), three cumulus (CU), two planetary boundary layer (PBL) schemes, and two initial forcing ...
Analyses of flood events using regional hydrometeorological modeling system Önen, Alper; Yücel, İsmail; Department of Civil Engineering (2013) Extreme rainfall events and consequent floods are being observed more frequently in the Western Black Sea region in Turkey as climate changes. In this study, application of a flood early warning system is intended by using and calibrating a combined model system. A regional-scale hydro-meteorological model system, consisting of Weather Research and Forecasting (WRF) model, NOAH land surface model and fully distributed NOAH-Hydro hydrologic models, is used for simulations of 25 heavy-rainfall and major flood...
Exploring the Role of Future Perspective in Predicting Turkish University Students’ Beliefs About Global Climate Change Ateş, Deniz; Teksöz, Gaye (2017-06-01) AbstractRecent studies indicate that limited understanding about causes and its potential impacts of climate change and fault beliefs by people across different countries of the world including Turkey is a real challenge. Acceptance of climate change as a real threat, believing its existence, and knowing causes and consequences are very significant for climate change adaptation and mitigation. Therefore, exploring underlying factors shaping or affecting beliefs of people is needed for designing educational ...

Citation Formats

T. Akal, V. Purutçuoğlu Gazi, İ. Batmaz, E. Kartal Koç, C. İyigün, and C. Yozgatlıgil, “Investigating the Seasonal Patterns of Continental Central Anatolia by Clustering,” presented at the The 25th Conference of European Chapter on Combinatorial Optimization (2012), 2012, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/70559.