Investigation of Black Sea mean sea level variability by singular spectrum analysis

Beşel, Cansu; Kayıkçı, Emine Tanır

doi:10.26833/ijeg.580510

Cited by 9 publications

(3 citation statements)

References 22 publications

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“…Burdur Basin, one of Türkiye's 25 basins, is a small, closed basin compared to other basins surrounded by Antalya and the Western Mediterranean Basins (Figure 1). Burdur Basin, which covers approximately 1% of Türkiye's surface area, has a precipitation area of 8,764 km 2 . The basin is under the influence of a transitional climate between the continental and Mediterranean climates.…”

Section: Study Areamentioning

confidence: 99%

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Drought analysis based on SPI and RDI drought indices in the Burdur Basin

SOYDAN OKSAL,

BEDEN

2024

Turkish Journal of Engineering

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Drought is the most complex of the recurrent extreme weather events and is defined as a natural disaster with severe environmental, economic, and agricultural impacts resulting from a significant decrease in the average rainfall recorded in an area and the average rainfall recorded in the same place. Droughts have become more frequent and severe in many parts of the world, including Turkey, due to global warming and climate change (increasing temperatures and changing precipitation patterns). Water resources and the agricultural sector are most severely affected by droughts. In this study, drought analyses of the Burdur Basin, located in the Aegean region, one of Turkey's seven geographical regions, were carried out. For drought analysis, General Directorate of Meteorology (MGM) 17238 Burdur and 17892 Tefenni meteorological observation stations (MGI), Annual average total precipitation, annual maximum temperature, annual minimum temperature, and annual average temperature data were used. Both meteorological and agricultural drought analyzes are included in the analysis of droughts. Standard Precipitation Index (SPI) and Reconnaissance Drought Index (RDI) methods were used to determine meteorological and agricultural drought, respectively. SPI and RDI values were obtained for 1-, 3-, 6- and 12-month time periods, and the severity, size, and distribution of dry and humid periods were determined for both stations separately. When the results of both methods were examined, severe droughts were observed in the study area in 1973, 1978, 1981, and 2017.

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Section: Study Areamentioning

confidence: 99%

“…Especially water resources and the agriculture sector are seriously affected by droughts. Drought; It is defined as a natural disaster with serious environmental, economic, and agricultural effects that occurs as a result of the precipitation recorded in a region falling significantly below the average recorded in the same region [1,2].…”

Section: Introductionmentioning

confidence: 99%

Drought analysis based on SPI and RDI drought indices in the Burdur Basin

SOYDAN OKSAL,

BEDEN

2024

Turkish Journal of Engineering

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“…The trend component has been computed using Singular Spectrum Analysis (SSA), a non-parametric multivariate statistical method (Golyandina and Nekrutkin, 2001;Hassani, 2007;Golyandina and Zhigljavsky, 2013). SSA is a consolidated technique used to identify the main patterns of variability in a given set of observations and has been successfully applied in many contexts including climate series (Ghil and Vautard, 1991;Schoellhamer, 2001;Macias et al, 2014;Besȩl and Tanir Kayikci, 2020;Biriukova et al, 2021;Yi and Sneeuw, 2021). SSA extracts the minimum independent information by which the entire original dataset can be reconstructed.…”

Section: Separating Long-term Trend and Extreme Variabilitymentioning

confidence: 99%

Evolution of marine heatwaves in warming seas: the Mediterranean Sea case study

et al. 2023

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Anomalous warming of the upper ocean is increasingly being observed in the Mediterranean Sea. Extreme events, known as marine heatwaves (MHWs), can have a profound impact on marine ecosystems, and their correct detection and characterization are crucial to define future impact scenarios. Here, we analyze MHWs observed over the last 41 years (1982–2022) in the Mediterranean sea surface temperatures (SSTs). We show that the intensification in frequency, intensity, and duration of Mediterranean MHWs in recent years is mainly due to a shift in SST mean that occurred in the last two decades and largely reduced when analyzing detrended SST data. Detrending thus allows the use of a fixed climatology without overestimating MHW properties over time and distinguishes long-term warming (i.e., trend) from transient and abrupt SST changes. Analogous results are also found over a shorter temporal period, by analyzing 13 years (2007–2020) of in situ data collected at different depths (5 to 40 m) at Columbretes Islands. Additionally, the in situ analysis reveals that atmospheric summer heatwaves could affect a layer of 10 m in depth. Lastly, a catalogue of the major Mediterranean MHWs that have occurred since 1982 is presented. This catalogue evidences an exceptionally long-lasting and intense MHW, starting in May 2022 and persisting, at least, until the end of the year, resulting in the event with the highest cumulative intensity just after the well-known 2003 MHW event.

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Frequency-Weighted Singular Spectrum Analysis for Time Series

Kume

Konashi

Higuchi

2022

Adv. Data Sci. Adapt. Data Anal.

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Singular spectrum analysis (SSA) is a nonparametric spectral decomposition of a time series. A time series is exactly separated into arbitrary number of additive subsequences with the singular value decomposition. Previously, we have shown that SSA algorithm can equivalently be formulated as an optimality condition for the generation of adaptive filters. In this paper, based on our optimal-filter viewpoint, we show that the spectral weight factor can naturally be introduced into the SSA algorithm. With this extension, we can selectively focus on the specific frequency domain of the time series, and then the detailed study of the time series with complicated spectral structure becomes possible.

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Investigation of Black Sea mean sea level variability by singular spectrum analysis

Cited by 9 publications

References 22 publications

Drought analysis based on SPI and RDI drought indices in the Burdur Basin

Drought analysis based on SPI and RDI drought indices in the Burdur Basin

Evolution of marine heatwaves in warming seas: the Mediterranean Sea case study

Frequency-Weighted Singular Spectrum Analysis for Time Series

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