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Long‑term trends and variability in air temperatures of central Anatolia region, Turkey, for the period 1960–2021

Bayer-Altın Türkan

Acta Geophysica

2023

Vol. 71, no. 4

2031--2047

The present paper analyzes long term (1960–2021) of the minimum, maximum, and average temperatures in Central Anatolia Region, corresponding middle part of Turkey, aiming to reveal how strongly the temperatures increase, which is a precondition for sustainable development in this region. For this purpose, temporal trends, variability, and anomalies in temperatures of 27 meteorological stations were detected using Mann–Kendall test (M-K), coefficient of variations, and Gaussian filter, respectively. Results show a statistically significant increasing trend in annual average temperatures at approximately 92% of all stations. This shows that the increasing trend in spring and summer temperatures plays an important role in amplifying the warming trend of annual temperatures. The coefficients of variation in annual average, maximum, and seasonal temperatures increase from west to east. Significant strong increasing trend (at 0.001 level) in winter temperatures was detected only at Seydişehir. While positive anomalies have been observed in the northwestern part of the region since 2007, they have been observed in other parts since 1995–1996. Since the strong increase in summer temperatures in Aksaray, Cihanbeyli, and Seydişehir is also observed in autumn, warm conditions continue until the end of autumn in these settlements. For this reason, four seasons do not prominently occur for all three settlements. Generally, annual maximum and minimum temperatures illustrate statistically significant increasing trends for all stations and 74% of all stations, respectively. According to the M-K test results, climate of the region has warmed on average by 1.44 °C in last 31 years.

Visual and statistical inference of hourly and sub hourly extreme rainfall trends Central Anatolia, Turkey case

Oruc Sertac

Acta Geophysica

2021

Vol. 69, no. 1

199--216

The analysis of long-term rainfall data in a changing climate is important because it has many sectoral applications such as agriculture, infrastructure, and water resources management. Statistical analyses of the annual maximum rainfall data were performed using the Mann–Kendall (MK) trend test to evaluate the annual maximum trend characteristics of the rainfall time series, the innovative trend analysis (ITA) method to detect categorial trends, and the ITA indicator to digitize the ITA results. Storm durations of 5, 10, 15, 30 min and 1, 3, 6, 24 h annual maximum rainfall series at 13 central stations in Central Anatolia, Turkey were used. According to the MK test results, there were no signifcant upward or downward monotonic trend at four stations, whereas the remaining nine stations showed a signifcant upward or downward monotonic trend. Signifcant negative and positive trends were identifed for the sub-hourly and hourly rainfall, whereas signifcant positive trends were detected for hourly storm durations. Signifcant trend results were mostly consistent with the general ITA results. The sub hourly storm duration data were more consistent in terms of signifcant trends. Conversely, when evaluated according to low, medium, and high data values in the rainfall series (categories), the high data values showed diferent trends. Although no trend was detected with the MK test, the ITA results showed an upward or downward trend for 25 rainfall series. 29 of 30 signifcant MK test results were consistent with the ITA indicator results, compared with 24 of 30 results of the visually inspected ITA results.