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OS | Articles | Volume 16, issue 1

Ocean Sci., 16, 209–219, 2020

https://doi.org/10.5194/os-16-209-2020

© Author(s) 2020. This work is distributed under

the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/os-16-209-2020

© Author(s) 2020. This work is distributed under

the Creative Commons Attribution 4.0 License.

Special issue: Developments in the science and history of tides (OS/ACP/HGSS/NPG/SE...

**Research article**
05 Feb 2020

**Research article** | 05 Feb 2020

Numerical modelling of the Caspian Sea tides

^{1}Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia^{2}Roshydromet, Fedorov Institute of Applied Geophysics, Moscow, Russia^{3}Department of Fisheries and Oceans, Institute of Ocean Sciences, Sidney, B.C., Canada

^{1}Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia^{2}Roshydromet, Fedorov Institute of Applied Geophysics, Moscow, Russia^{3}Department of Fisheries and Oceans, Institute of Ocean Sciences, Sidney, B.C., Canada

**Correspondence**: Igor P. Medvedev (medvedev@ocean.ru)

**Correspondence**: Igor P. Medvedev (medvedev@ocean.ru)

Abstract

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The Caspian Sea is the largest enclosed basin on Earth and a
unique subject for the analysis of tidal dynamics. Tides in the basin are
produced directly by the tide-generating forces. Using the Princeton Ocean
Model (POM), we examine details of the spatial and temporal features of the
tidal dynamics in the Caspian Sea. We present tidal charts of the amplitudes
and phase lags of the major tidal constituents, together with maps of the
form factor, tidal range, and tidal current speed. Semi-diurnal tides in the
Caspian Sea are determined by a Taylor amphidromic system with
anticlockwise rotation. The largest M_{2} amplitude is 6 cm and is
located in Türkmen Aylagy (called Turkmen Bay hereafter). For the diurnal constituents, the Absheron Peninsula
separates two individual amphidromes with anticlockwise rotation in the
north and in the south. The maximum K_{1} amplitudes (up to 0.7–0.8 cm)
are located in (1) the south-eastern part of the basin, (2) Türkmenbaşy Gulf, (3) Mangyshlak Bay; and (4) Kizlyar Bay. As a
result, the semi-diurnal tides prevail over diurnal tides in the Caspian Sea.
The maximum tidal range, of up to 21 cm, has been found in Turkmen Bay. The
strongest tidal currents have been located in the straits to the north and
south of Ogurja Ada, where speeds reach 22 and 19 cm s^{−1}, respectively.
Numerical simulations of the tides using different mean sea levels (within a
range of 5 m) indicate that spatial features of the Caspian Sea tides are
strongly sensitive to changes in mean sea level.

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Medvedev, I. P., Kulikov, E. A., and Fine, I. V.: Numerical modelling of the Caspian Sea tides, Ocean Sci., 16, 209–219, https://doi.org/10.5194/os-16-209-2020, 2020.

1 Introduction

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Tides, one of the major drivers of oceanic motions, are formed by the tide-generating forces of the Moon and the Sun under the influence of Earth's rotation. Tides can be represented as the sum of two types of oscillations: (1) the co-oscillating tide, caused by a tidal exchange with adjacent basins, and (2) the independent tide, generated directly by the tide-generating forces (Defant, 1961). Co-oscillating tides dominate in marginal seas and are generated by tidal waves entering from an adjoining ocean or sea. In isolated inland seas (e.g. the Black Sea and the Baltic Sea), independent tides strongly prevail, as tidal waves from adjacent basins cannot significantly penetrate the sea (Medvedev et al., 2013, 2016; Medvedev, 2018). The Caspian Sea is a unique subject for the analysis of independent tide formation as it is the largest fully enclosed basin on Earth.

Tides in the Caspian Sea have been studied for a long time, although not on a regular basis. Malinovsky (1926) showed that semi-diurnal tides dominate the Caspian Sea and that the spring tidal range was 7.7 cm, based on an analysis of 30 d records of hourly water levels from three tide gauges. German (1970) performed a spectral analysis of 3-month observational series at eight tide gauges and distinguished the diurnal and semi-diurnal constituents through different generation mechanisms; semi-diurnal tides had a gravitational origin, while diurnal tides were formed by sea-breezes. Kosarev and Tsyganov (1972) found the maximum tidal range to be 12 cm at Ogurja Ada (Fig. 1). Spidchenko (1973) estimated the amplitudes and phase lags at seven sites, and they found the mean spring tidal range to be 8.3 cm at Krasnovodsk. Analysing annual series of hourly observations at six tide gauges, Levyant et al. (1994) hypothesised that the semi-diurnal tidal wave is represented by a anticlockwise-rotating Kelvin-wave type amphidromic system with its centre in the area of the Absheron Threshold.

Medvedev et al. (2017) estimated the amplitudes and phase lags of major
tidal constituents for different parts of the Caspian Sea based on analysis
of long-term hourly data from 12 tide gauges. A maximum tidal range of 21 cm
was found at Aladga (eastern part of the Southern Caspian). Medvedev et al. (2017) also performed a high-resolution spectral analysis and determined
that the diurnal sea level oscillations in the Middle Caspian have a
gravitational origin, while those in the Southern Caspian are mainly caused
by radiational effects (the amplitude of the diurnal radiational constituent
S_{1} is much higher than those of the gravitational constituents O_{1},
P_{1}, and K_{1}). In the Northern Caspian, there are no gravitational
tides and only weak radiational tides are observed. The semi-diurnal tide
dominates the Middle Caspian and Southern Caspian regions.

Analyses of the tide gauge data allow for the examination of specific tidal features at different sites but not for the estimation of the spatial structure of tides in the deep-water areas of the Caspian Sea. Therefore, in order to capture these spatial structures we used the numerical Princeton Ocean Model (POM) adapted for the Caspian Sea (see Medvedev et al., 2019). The adapted POM reproduces the tides and meteorological sea level variability for periods ranging from several hours to a month. In the present paper, we use this model to characterise the spatial and temporal properties of the tidal dynamics for the entire Caspian Sea.

2 Data and methods

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The tidal motions examined in this study are based on a 2-D version of the Princeton Ocean Model (Mellor, 2004). The forcing term in the two-dimensional shallow-water equations is specified through gradients in the tidal potential over the Caspian Sea:

$$\begin{array}{}\text{(1)}& {\stackrel{\mathrm{\u203e}}{F}}_{T}=-\left(\mathrm{1}+k-h\right)\mathrm{\nabla}\stackrel{\mathrm{\u203e}}{\mathrm{\Omega}},\end{array}$$

where $\stackrel{\mathrm{\u203e}}{\mathrm{\Omega}}$ is the tidal potential and *k* and *h* are the Love numbers,
which relate the body Earth tide (and associated perturbations) to the
potential. We used frequency-dependent values of *h* and *k* calculated by Wahr (1981) (Table 1). The tidal potential was calculated for spherical harmonics
via formulae provided by Munk and Cartwright (1966) and included all the
main tidal components (> 80), including the major diurnal,
semidiurnal, and long-period constituents. Additionally, our numerical model
includes the ocean tidal loading potential obtained from FES2014 (Finite
Element Solution tidal model), produced by NOVELTIS, LEGOS, and CLS Space
Oceanography Division and distributed by AVISO, with support from Centre National D'Etudes Spatiales (CNES) (http://www.aviso.altimetry.fr/, last access: 20 November 2019).

In the numerical model, energy dissipation is through the vertical component of turbulent viscosity. The frictional force in the momentum equations is determined by the speed of the bottom flow and the friction coefficient:

$$\begin{array}{}\text{(2)}& \left({\mathit{\tau}}_{\mathrm{b}x},{\mathit{\tau}}_{\mathrm{b}y}\right)=\left({C}_{\mathrm{b}}{u}_{\mathrm{b}}\left|{\stackrel{\mathrm{\u203e}}{u}}_{\mathrm{b}}\right|,{C}_{\mathrm{b}}{v}_{\mathrm{b}}\left|{\stackrel{\mathrm{\u203e}}{u}}_{\mathrm{b}}\right|\right),\end{array}$$

where ${\stackrel{\mathrm{\u203e}}{u}}_{\mathrm{b}}=\left({u}_{\mathrm{b}},{v}_{\mathrm{b}}\right)$ is the flow velocity above
the bottom boundary layer (which is assumed to be equal to the barotropic
velocity ${\stackrel{\mathrm{\u203e}}{u}}_{\mathrm{b}}$ for the 2-D model), and *C*_{b} is the bottom friction
coefficient, which has the following form:

$$\begin{array}{}\text{(3)}& {C}_{\mathrm{b}}=max\left[{\displaystyle \frac{{\mathit{\kappa}}^{\mathrm{2}}}{\left(\mathrm{ln}\left\{\mathrm{0.5}H/{z}_{\mathrm{0}}\right\}\right)}},\mathrm{0.0025}\right],\end{array}$$

where *κ*=0.4 is the von Kármán constant and *z*_{0} is
the bed roughness length. A minimum value for the bottom friction
coefficient, *C*_{b}=0.0025, was applied in order to avoid a vanishing
bottom drag in very deep water.

The numerical simulations were performed on a grid of 507 by 659 nodes with a step of 1 arcmin in latitude and longitude, created from the General Bathymetric Chart of the Oceans (GEBCO) bathymetry data of the Caspian Sea with a resolution of 30 arcsec. For this region, GEBCO uses the gridded data set provided by Hall (2002). This dataset is based on over 280 000 bathymetric soundings digitised from bathymetric contours, taken from 107 Russian navigational charts. In Sect. 3.1, a mean sea level (MSL) for the Caspian of −28 m with respect to the Baltic Height System (BHS, relative to the zero level of the Kronstadt tide gauge) was adopted in the numerical modelling. In the numerical experiments in Sect. 3.4, the MSL of the Caspian was varied from −25 to −30 m with respect to the BHS. The boundary conditions for the tidal model are zero flow normal to the coast (at the 2 m depth contour).

In Medvedev et al. (2019), the model results for the Caspian Sea were
validated using hourly sea level observations from eight tidal gauges
(Fig. 1). Several experiments with different values of the bed roughness length
were performed. The best tide reproduction accuracy at the eight sites was
obtained for *z*_{0}=0.01 m, which is used in Eq. (3) to determine the
bottom friction coefficient, *C*_{b}. Figure 2 presents a comparison of the
amplitudes (*H*) and phase lags (*G*) of the tidal constituents calculated from
the results of numerical modelling with those based on observations. The
error in the calculations of the amplitude of the M_{2} harmonic at Baku,
Svinoy island, Fort-Shevchenko, Garabogaz (called Bektash hereafter), and Ogurchinsky island (Ogurja Ada)
did not exceed 0.1–0.2 cm. The corresponding errors for Kara-Bogaz-Gol and
Krasnovodsk were 0.3–0.4 cm. The phase lag error for six of the tide gauges
varied from 0 to 6^{∘}, while for Ogurchinsky island it
reached 36^{∘}, and for Krasnovodsk it was 26^{∘}. The
amplitude error of the K_{1} harmonic at seven of the tide gauges was
0.1–0.2 cm and for Baku it was 0.4 cm. The phase lag errors varied from
1 to 50^{∘}. All phase lags are relative to Greenwich,
using Coordinated Universal Time (UTC).

3 Results

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A numerical model with a MSL of −28 m with respect to the BHS was used.
Amplitudes and phase lags of the major tidal constituents were calculated
using classical harmonic analysis (Pugh and Woodworth, 2014). In this
section, we examine the spatial pattern of diurnal and semi-diurnal tides
taking the major constituents K_{1} and M_{2} as examples.

The diurnal tidal pattern includes a complicated amphidromic system in the
Middle Caspian (Fig. 3a). The Absheron Peninsula splits this system into
separate north and south amphidromes. Both amphidromic systems feature a
anticlockwise rotation. Near the Absheron Peninsula, the K_{1}
amplitude is less than 0.15 cm. The maximum K_{1} amplitudes (up to
0.7–0.8 cm) are located in (1) the south-eastern part of the Caspian Sea, (2) Türkmenbaşy Gulf, (3) Mangyshlak Bay, and (4) Kizlyar Bay. The second
anticlockwise-rotating amphidrome is formed in the Northern Caspian.
Medvedev et al. (2019) showed that the numerical modelling results are not
very reliable in the Northern Caspian due to the shallow depths, with about
20 % of this part of the Caspian Sea being less than 1 m deep (Baidin and
Kosarev, 1986). Other diurnal tidal constituents have a spatial distribution
similar to that of K_{1}. The amplitudes of these constituents are up to
0.5 cm for O_{1} and 0.25 cm for P_{1}. The amplitudes of the other
diurnal tidal constituents in the Caspian Sea do not exceed 0.1 cm.

Semidiurnal tides in the Caspian Sea are determined by a Taylor amphidromic
system with anticlockwise rotation (Fig. 3b). The amphidromic point of
this system is located 80 km east of the Absheron Peninsula. The minimum
M_{2} amplitudes are located (1) east of the Absheron Peninsula, (2) in
the western part of the Northern Caspian, and (3) in the eastern part of the Northern Caspian. Maximum M_{2}
amplitudes are found in (1) the western part of the Southern Caspian, up to
2.4 cm; (2) Kazakh Bay, up to 3.2 cm; (3) Mangyshlak Bay, up to 3.2 cm; and (4) the Türkmenbaşy Gulf, up to 3.9 cm. The largest M_{2} amplitude of 6 cm
is located in Turkmen Bay. Other semi-diurnal tidal constituents have a
similar spatial distribution to M_{2}. The S_{2} amplitude in Turkmen
Bay is 2.6 cm, N_{2} is 1.1 cm, and K_{2} is 0.7 cm. The amplitudes and
phase lags of the major tidal constituents at selected towns around the
Caspian Sea are presented in Table 2.

The results of our analysis indicate that semi-diurnal tides prevail over diurnal tides in the Caspian Sea. To show this, we estimated the form factor as determined by the amplitude ratio of the major diurnal and semi-diurnal constituents (Pugh and Woodworth, 2014):

$$\begin{array}{}\text{(4)}& F={\displaystyle \frac{{H}_{{\mathrm{K}}_{\mathrm{1}}}+{H}_{{\mathrm{O}}_{\mathrm{1}}}}{{H}_{{\mathrm{M}}_{\mathrm{2}}}+{H}_{{\mathrm{S}}_{\mathrm{2}}}}}.\end{array}$$

Tides have a semi-diurnal form in the eastern part of the Middle Caspian (*F* < 0.25), in the western part of the Southern Caspian (*F* < 0.25), and in Turkmen Bay (*F* ∼0.14) (Fig. 4a). In general, a
mixed mainly semi-diurnal tide (0.25 < *F* < 1.5) is observed in
other areas of the Caspian Sea. Only in the western and eastern parts of the
Northern Caspian and at the semi-diurnal amphidromic point (80 km east of the
Absheron Peninsula) does the tide have a mixed mainly diurnal form (*F* > 1.5).

Using the results of the numerical modelling of the diurnal, semi-diurnal, and
shallow tidal constituents, we were able to predict an 18.6-year tidal time
series at each grid node. The tidal range was calculated as the maximum
range of the tidal sea level oscillations during one lunar day
(∼25 h). The tidal co-range distribution features a
pattern similar to the M_{2} amplitude distribution (Fig. 4b). The maximum
tidal ranges are found for (1) Kazakh Bay, up to 12 cm; (2) Mangyshlak Bay,
up to 12 cm; (3) Türkmenbaşy Gulf, up to 13 cm; and (4) Turkmen Bay,
up to 21 cm. The form factor and tidal range at the main cities in the
Caspian Sea are included in Table 2. Fort-Shevchenko features the largest
tidal range listed in Table 2. The maximum tidal range for the Caspian Sea,
as a whole, is observed in Turkmen Bay (21 cm), but there are no big cities
in this area.

Medvedev et al. (2017) estimated the role of tidal oscillations in the overall sea level variability in the Caspian Sea by calculating the relative contribution of the tides (gravitational and radiational) to the total sea level variance in the frequency band from 0.5 to 6 cpd (cycles per day) for 11 tide gauges. The maximum contribution was observed at Bektash (27 %). At Aladga, which has the greatest range of 21 cm, the tidal contribution to the sea level variance was 22.5 %. The smallest relative contribution of the tides was found on the western coast: 7.6 % at Makhachkala and 11.7 % at Baku.

For this study, we estimated the contribution of the gravitational tides to the sea level variance based on the new numerical modelling results. We made two numerical experiments: (1) with the tides alone and (2) with meteorological forcing alone produced by variations in the wind and air pressure fields over the Caspian Sea for 1979 from NCEP/CFSR reanalysis (Saha et al., 2010). We calculated the variance of tidal sea level variability (excluding the long-period constituents) and the variance of the meteorological sea level variations in the frequency band from 0.1 to 6 cpd. Then, we estimated the relative contribution (in percent) of the tides to the total sea level variance in the Caspian Sea.

The maximum contribution of tides to the total sea level variance was found to be located in the eastern part of the Middle Caspian: up to 29 %. In Turkmen Bay, the tidal contribution to the total variance is up to 27 %. The minimum contribution is found in the Northern Caspian, where strong storm surges occur; and near the Absheron Peninsula, where the amphidromic points of the diurnal and semi-diurnal tides are located. The results of this analysis show that tides are a significant component of the overall sea level variability of the Caspian Sea in the mesoscale. Consequently, knowledge of the tidal characteristics is important for understanding the hydrodynamics of the sea.

Tidal dynamics are characterised not only by sea level oscillations but also
by periodic currents. The spatial structure of the amplitudes of the
semi-major axes of tidal currents (Fig. 6) differs from the pattern of the
tidal sea level amplitude distribution. The largest M_{2} current speeds
(semi-major axis) are found in (1) Mangyshlak Bay near the Tyulen'i
archipelago, up to 6.5 cm s^{−1}; (2) Absheron Strait, which separates the Absheron
Peninsula from the Chilov island, up to 7.5 cm s^{−1}; and (3) in the straits to
the north and south of Ogurja Ada, up to 12.5 and 11.7 cm s^{−1}. The M_{2} ellipse parameters (semi-major and semi-minor axes
amplitudes, the direction of maximum current speed, phase lags) change
depending on local topographic features. For the highest speeds, the
rotation of the ellipse occurs in a clockwise direction. In straits and in
shallow waters (for example, in Turkmen Bay), the semi-minor axis approaches
zero and the tidal currents are nearly rectilinear. The spatial pattern of
the S_{2} tidal currents in the Caspian Sea has the same structure as that
for the M_{2} constituent; the amplification areas and the ellipse
parameters remain the same, only the S_{2} semi-major axis is half of that
of M_{2}. Since M_{2} and S_{2} have the highest current speeds in the
Caspian Sea, the spatial pattern of the maximum total tidal currents,
calculated from time series computed for 18.6 years, also repeats the
pattern of the M_{2} constituent. On average, the maximum total tidal
current speed in the Caspian Sea exceeds the M_{2} speed by a factor of
1.8. The highest speed of the total tidal currents is observed mainly in the
following straits: (1) Mangyshlak Bay near the Tyulen'i archipelago, up to
11.5 cm s^{−1}; (2) Absheron Strait, which separates the Absheron Peninsula from
the Chilov island, up to 13 cm s^{−1}; and (3) in the straits to the north and
south of Ogurja Ada, up to 22 and 19 cm s^{−1}.

Interannual variability in the MSL is one of the main features of interest in the hydrological regime of the Caspian Sea (Bolgov et al., 2007) (Fig. 7). The mean depth of the Northern Caspian is about 5–6 m. As a result, changes of the Caspian MSL by 2–3 m (as observed, for example between 1977 and 1994) lead to significant changes in the hydrodynamics of the Northern Caspian as well as in coastal waters of the Middle Caspian and Southern Caspian. MSL variations lead to changes in the area and volume of the sea, and they result in changes in the frequency-selective properties of both the entire Caspian Sea and its individual parts. As a consequence, the spatial characteristics of natural oscillations of the basin (seiches) and the tidal pattern should also be expected to change.

For the present study, we conducted numerical experiments with tidal simulations using different MSL values of the Caspian Sea ranging from −25 to −30 m with respect to the BHS. This corresponds to the natural range of MSL changes in the Caspian Sea under climatic conditions typical for the sub-Atlantic climatic interval of the Holocene epoch (Bolgov et al., 2007). The results of these experiments allow us to identify changes in the Caspian Sea tidal patterns throughout the 19th and 20th centuries. The numerical results reveal that MSL changes over these two centuries led to a significant restructuring of the spatial structure of the natural sea level oscillations over the entire sea and its individual parts (specifically, the Middle Caspian and Southern Caspian).

The spatial structures of the semi-diurnal and diurnal tides in the Caspian
Sea are modified by changes in the MSL (Fig. 8). The M_{2} amphidromic
point shifts eastward by about 10 km with a decrease in the MSL from −25 to
−29 m, leading to a general displacement of the area with amplitudes of
1.5–2 cm also to the east. As a result, the M_{2} amplitude decreases by
0.2–0.3 cm (up to 10 %–20 % of amplitude) along almost the entire eastern
shore of the Middle Caspian. In the Southern Caspian, the tidal amphidrome
also shifts to the east and the tidal amplitudes increase along the western
coast. An area of amplification of the semi-diurnal tides with amplitudes of
up to 6.5 cm is formed in Mangyshlak Bay (Northern Caspian) with the MSL of
−25 m. When the MSL drops to −28 m, the semi-diurnal amplitude in this bay
decreases to 3.2 cm.

The most interesting and complex modification of the tidal pattern occurs on the east coast of the sea. In the Türkmenbaşy Gulf, the amplitude decreases from 4.4 cm with a MSL of −25 m to 3.1 cm for a MSL of −29 m. The reverse picture is observed in Turkmen Bay, where the amplitude increases from 3.5 to 6.5 cm. Turkmen Bay is a shallow semi-enclosed bay, with Ogurja Ada situated on its western border. This island is a narrow sandy spit approximately 42 km long and 1–1.5 km wide. The island's height currently does not exceed 3–5 m (Badyukova, 2015). Thus, when the MSL of the Caspian Sea is −25 m, a significant part of the island is submerged. Results of our numerical experiments show that the presence of the island creates a western boundary in Turkmen Bay. The formation of this boundary leads to a change in the frequency response of the bay and, as a consequence, to an increase in the amplitude of the semi-diurnal tides.

More pronounced modifications occur in the diurnal tide pattern with the MSL
changes. For a MSL of −25 m with respect to the BHS, there is a more
noticeable separation of the amphidrome near the Absheron Peninsula into two
separate systems to the north-east and south of the peninsula. The amplitude
of the diurnal tide on the western coast of the Southern Caspian is
0.1–0.15 cm higher (up to 50 % in amplitude) for a MSL of −29 m than for
a MSL of −25 m. On the eastern coast of the Southern Caspian, the K_{1}
amplitude varies weakly with the MSL changes (by 10 %). However, the
K_{1} phase lags are modified. This is caused by the influence of Ogurja
Ada at low MSL.

Strong modifications of the diurnal tidal pattern due to MSL changes occur along the transition between Northern Caspian and Middle Caspian. For a MSL of −25 m, the largest amplitudes are located near the Tyulen'i archipelago (up to 0.7–0.8 cm) and in Mangyshlak Bay (up to 1 cm). With decreasing MSL, large amplitudes extend farther west. For a MSL of −29 m, maximum amplitudes of up to 1.1 cm are already reached at the western coast of the Northern Caspian (near the Tyulen'i island). These changes are probably caused by a strong modification of the water depth of the shallow Northern Caspian and, as a result, of the frequency (resonant) properties of this subbasin.

The change in the spatial structure of the tidal range with changes in MSL
is similar to that for the M_{2} amplitude pattern. The maximum tidal
range of 22 cm is found in Mangyshlak Bay for a MSL of −25 m. At this MSL,
the tidal range in Turkmen Bay is 13 cm and in Türkmenbaşy Gulf it is 15.5 cm. When the MSL decreases, the tidal range in Mangyshlak Bay decreases,
while that in Turkmen Bay increases. For a MSL of −29 m, the tidal range in
Turkmen Bay becomes 23 cm, whereas it is only 14 cm in Mangyshlak Bay.

The changes in tidal characteristics can be very significant at individual
sites. Figure 9 shows tidal vector diagrams that display the M_{2} model
amplitude and phase lag for different sites for different MSL scenarios for
the Caspian Sea. The amplitude and phase lag changes are relatively small at
Makhachkala, Baku, and Bektash. However, the M_{2} phase lag for Ogurja
Ada changes by about 100^{∘} and the M_{2} amplitude doubles: from
2.5 cm for a MSL of −25 m to 5 cm for a MSL of −30 m.

4 Discussion

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The results of the numerical tidal modelling in this study are in good
agreement with the results of a harmonic analysis of tide gauge data of the
Caspian Sea (Medvedev et al., 2017). Medvedev et al. (2017) demonstrated
that a diurnal peak is absent in the sea level spectra on the western coast
of the Southern Caspian (Baku, Svinoy island), which is confirmed here by
the result of the numerical simulation of the K_{1} amplitude (Fig. 3a).
Diurnal tides in the Southern Caspian are radiational and are formed under
the influence of sea-breeze winds (Medvedev et al., 2017).

An unexpected result was obtained for the eastern part of the Southern
Caspian. With a high MSL (for example, −25 m) a significant part of the
territory of Ogurja Ada is below the mean water level. As a result, it is
easier for tidal waves to penetrate Turkmen Bay. With a low MSL (for
example, −29 m), the area and length of the island increase significantly,
and the island becomes an effective boundary to the west, reflecting the
tidal waves that penetrate Turkmen Bay. According to Badyukova (2015), the
island's height currently does not exceed 3–5 m (MSL of −27.5 m with
respect to the BHS). According to elevation data derived from the Shuttle
Radar Topography Mission (SRTM; Farr et al., 2007), the island's maximum
height is also 5–8 m. We used the GEBCO database to create our numerical
grid for the model, with a maximum elevation of the island of 2 m at a MSL
of −28 m. Thus, in the experiments assuming a MSL of −25 m, the island was
completely submerged. However, according to historical records in 1835, when
the MSL of the Caspian Sea was −25.5 m, the central elevated part of the
island was in fact not flooded by the sea (the maximum height being about
3.5 m). Therefore, there is some modelling uncertainty about this aspect.
According to Badyukova (2015), the island actually represents preserved
fragments of a coastal delta plain which was built on transgressive coastal bars
and subsequently merged into one island. A comparison of the island's
coordinates in 1850 with 2013 (Badyukova, 2015) shows that the island has
gradually moved eastward and has changed its geometrical configuration due
to the redistribution of deposits and erosion. The greatest contribution to
this process originates from aeolian redistribution. According to Nikiforov (1964), for each 1 m of the beach 5 kg of sand is carried inland every
hour for a wind speed of 4.9 km s^{−1}.

Numerical experiments were conducted with forcing produced by synthetic wind
fields in order to assess changes in natural oscillations (seiches) with a
change in the MSL. The magnitude and direction of the generated wind fields
was varied randomly every 6 h. A spectral analysis of the simulated
wind sea level variability showed that a decrease in the MSL leads to a
change in the period and Q factor of the natural oscillations of
Türkmenbaşy Gulf and Turkmen Bay. When the MSL of the Caspian Sea
decreases, the Q factor of seiches in Türkmenbaşy Gulf, which have a
period of about 12 h (i.e. around the M_{2} tidal period),
significantly decreases. For a MSL of −29 m, this spectral peak does not
exceed the spectral noise level (Fig. 10a).

In Turkmen Bay, a decrease in MSL from −26 to −29 m causes the spectral
peak of the main seiche mode to migrate towards lower frequencies. Thus, the
period of this seiche mode approaches the period of the M_{2} tidal
constituent (Fig. 10b). This is due to the progressive elongation of Ogurja
island, which represents the western boundary of the bay. The closeness of
the period of natural oscillations (seiches) to the tidal period (12.42 h)
affects the structure of the tidal oscillations. The “sensitivity” of the
tides to the changes in the MSL is determined by the proximity or distance
from the natural period.

5 Conclusions

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In this numerical modelling study, we have investigated the tidal dynamics
of the Caspian Sea. The numerical simulations were forced by the direct
action of the tidal potential. The main objective of the study was to map
the tidal characteristics of the Caspian Sea. For the first time, it has
been possible to construct detailed co-tidal maps of the sea level and
current ellipses for the major tidal constituents using a numerical
hydrodynamic model taking into account data from long-term sea level
observations. The results of the numerical simulations indicate that maximum
tidal amplitudes are located in the south-eastern part of the sea. The
contribution of the tides to the overall sea level variance in the frequency
band from 0.1 to 6 cpd is up to 29 % in the eastern part of the Middle
Caspian and up to 27 % in Turkmen Bay. We have shown that tidal currents
can reach more than 20 cm s^{−1} in certain areas (for example, in straits),
which is comparable to the magnitude of persistent currents due to the
hydrological regime (Tuzhilkin and Kosarev, 2005). Our results indicate that
the role of tides in the hydrodynamics of isolated (non-tidal) seas might
have been previously underestimated.

Our numerical experiments demonstrate that the spatial features of the tides are sensitive to changes in the MSL. Modifications to the tidal pattern are caused by changes in the bathymetry and geometry of the coastline of shallow areas of the sea, including the Northern Caspian, which results in significant changes in the frequency response of the basin. This is also confirmed by changes in the natural oscillation (seiche) structure of the Caspian Sea.

In recent decades, significant progress has been achieved in the improvement of global barotropic tide models. This progress has been supported by satellite altimetry. Stammer et al. (2014) presented a detailed comparison of the main modern global barotropic tide models. Most of these models (FES14, EOT11a, TPXO9, GOT4.10, OSU12, DTU10, HAMTide) do not include the Caspian Sea.

We believe that our findings concerning tidal dynamics can help to better understand the diurnal and semi-diurnal variability in sea level and currents in the Caspian Sea. In addition, we suggest that our findings should be taken into account when future global tide models are constructed.

Data availability

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Data availability.

The model output data are published at the public data repositories of the Shirshov Institute of Oceanology, Russian Academy of Sciences; https://doi.org/10.29006/datasets.2020.cst.1 (Medvedev et al., 2020).

Author contributions

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Author contributions.

The concept of the study was jointly developed by IM and EK. IM did the numerical simulations, analysis, visualisation, and article writing. EK prepared the numerical grids and participated in the analyses and the interpretation of the results. IF adapted the numerical Princeton Ocean Model (POM) to the Caspian Sea and participated in the verification stage. IM prepared the paper with contributions from EK and IF.

Competing interests

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Competing interests.

The authors declare that they have no conflict of interest.

Special issue statement

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Special issue statement.

This article is part of the special issue “Developments in the science and history of tides (OS/ACP/HGSS/NPG/SE inter-journal SI)”. It is not associated with a conference.

Acknowledgements

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Acknowledgements.

The authors would like to thank Richard Thomson, Philip Woodworth, Rosanna Neuhausler, and two anonymous reviewers for their very interesting comments and helpful suggestions during the preparation of the paper.

Financial support

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Financial support.

This research has been supported by the state assignment of IO RAS (grant no. 0149-2019-0005) and the Russian Foundation for Basic Research (grant no. 18-05-01018).

Review statement

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Review statement.

This paper was edited by Philip Woodworth and reviewed by two anonymous referees.

References

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Short summary

The Caspian Sea is the largest enclosed basin on Earth and a unique subject for the analysis of the tidal dynamics. Using numerical modelling, we examine details of the spatial and temporal features of the tidal dynamics in the Caspian Sea. We present tidal charts of the amplitudes and phase lags of the major tidal constituents. The maximum tidal range, of up to 21 cm, has been found in Turkmen Bay. The tidal currents in this area have speeds of up to 22 cm s^{-1}.

The Caspian Sea is the largest enclosed basin on Earth and a unique subject for the analysis of...

Ocean Science

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