Analysis of Turkish precipitation data: homogeneity and the Southern Oscillation forcings on frequency distributions

Karabörk, M. Çağatay; Kahya, Ercan; Kömüşçü, Ali Ümran

doi:10.1002/hyp.6524

Cited by 42 publications

(22 citation statements)

References 18 publications

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“…The results of methods showed that 43 out of 212 stations had an inhomogeneity. The comparison of the results of this study and the paper presented by Karabörk et al (2007) shows that the stations for which the homogeneity is deteriorated are similar. In both the studies the inhomogeneity was detected at stations 17026, 17606 and 17648 located in northern Turkey.…”

Section: Homogeneity Testmentioning

confidence: 56%

“…There are many methods proposed and applied for testing homogeneity of meteorological series. The methods for testing the homogeneity of the series may be classified into two groups as 'absolute method' and 'relative method' (Karabörk et al 2007). In the first method, the test is applied for each station individually.…”

Section: Homogeneity Testmentioning

confidence: 99%

“…Yıldırım et al (2004) tested the homogeneity of precipitation and riverflow series by using Kruskall-Wallis method in their study. Karabörk et al (2007) applied SNHT and Pettitt test to detect the inhomogeneity at 212 precipitation gauging stations for 1973-2002. They stated that 43 out of 212 stations had an inhomogeneity.…”

Section: Introductionmentioning

confidence: 99%

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Missing data analysis and homogeneity test for Turkish precipitation series

Fırat

Dikbaş

Koç

et al. 2010

Sadhana

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In this study, missing value analysis and homogeneity tests were conducted for 267 precipitation stations throughout Turkey. For this purpose, the monthly and annual total precipitation records at stations operated by Turkish State Meteorological Service (DMI) from 1968 to 1998 were considered. In these stations, precipitation records for each month was investigated separately and the stations with missing values for too many years were eliminated. The missing values of the stations were completed by Expectation Maximization (EM) method by using the precipitation records of the nearest gauging station. In this analysis, 38 stations were eliminated because they had missing values for more than 5 years, 161 stations had no missing values and missing precipitation values were completed in the remaining 68 stations. By this analysis, annual total precipitation data were obtained by using the monthly values. These data should be hydrologically and statistically reliable for later hydrological, meteorological, climate change modelling and forecasting studies. For this reason, Standard Normal Homogeneity Test (SNHT), (Swed-Eisenhart) Runs Test and Pettitt homogeneity tests were applied for the annual total precipitation data at 229 gauging stations from 1968 to 1998. The results of each of the testing methods were evaluated separately at a significance level of 95% and the inhomogeneous years were determined. With the application of the aforementioned methods, inhomogeneity was detected at 50 stations of which the natural structure was deteriorated and 179 stations were found to be homogeneous.

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Section: Homogeneity Testmentioning

confidence: 56%

Section: Homogeneity Testmentioning

confidence: 99%

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Missing data analysis and homogeneity test for Turkish precipitation series

Fırat

Dikbaş

Koç

et al. 2010

Sadhana

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“…The Pettitt test, which has been used for studying homogeneity of hydro-meteorological datasets (Karabörk et al, 2007;Hakuba et al, 2013;Xie ., 2014), is applied to detect change points. The Pettitt test, which has been used for studying homogeneity of hydro-meteorological datasets (Karabörk et al, 2007;Hakuba et al, 2013;Xie ., 2014), is applied to detect change points.…”

Section: Methodsmentioning

confidence: 99%

Total cloud cover climatology over the United Arab Emirates

Yousef

Temimi

Wehbe

et al. 2019

Atmospheric Science Letters

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Cloud climatologies are of great importance in the study of cloud dynamics and interactions with land, oceans and atmosphere. This study analyzes the climatology of Total Cloud Cover (TCC) over the United Arab Emirates (UAE). Monthly mean TCC data between 1984 and 2009 from ground observations at six UAE airport stations and the satellite-based (CLARA A2) product are utilized. The hourly ground observations are first filtered to match the overpass times of CLARA-A2 satellites over the UAE. Comparison between the datasets reveals higher TCC reports by CLARA-A2. These are attributed to several factors, such as the underestimation of TCC by human observers and the region's aerosol loading, surface albedo and emissivity, which impact the quality of remote sensing retrievals. Satellites utilized for CLARA-A2 are known to have undergone changes in their numbers and orbits over the years, prompting an investigation of its homogeneity. Change points are found to occur in 1991 and 1998, related to increased satellite measurements and sensor changes, respectively. Further investigations of the homogeneity of means and variances before and after the change points are also conducted, resulting in confirmation of the inhomogeneity induced by artifacts. Monthly means of hourly ground observations are then used for analysis of TCC climatology over the six stations. Fujairah has the highest TCC on average, due to its proximity to the Hajar mountains and the Oman gulf. Most of the stations exhibit significant decreasing trends, in addition to a change point occurring in 1998. This is theorized to be related to the El Niño Southern Oscillation phase change occurring in the same period. The potential teleconnection is explored further through testing for correlations of TCC with the Oceanic Niño Index, with results showing a strong link in the fall-winter seasons. K E Y W O R D Sarid region, climatology, cloud cover, desert, ENSO, remote sensing, teleconnection

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“…Karabork et al, (2007) analyzed the homogeneity of precipitation data of 212 stations in Turkey belonging to 1973-2002, using the SNH and Pettitt tests. They expressed that the 43 out of 212 stations were impacted from non-climatic conditions resulting in inhomogeneity.…”

Section: Introductionmentioning

confidence: 99%