The influence of atmospheric circulation on the water level on the southern coast of the Baltic Sea

Girjatowicz, J.P.; Świątek, Małgorzata; Wolski, Tomasz

doi:10.1002/joc.4650

Cited by 5 publications

(5 citation statements)

References 32 publications

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“…Sea level measurements at tide gauges provided the empirical basis for the study. Many long records of tide gauge observations exist from the Baltic Sea, some (Stockholm, Saint Petersburg andŚwinoujście) stretching back to the 1770s-1810s (Girjatowicz et al, 2016). However, older parts of the series are hardly usable due to gaps and uneven spatial coverage.…”

Section: Tide Gauge Datamentioning

confidence: 99%

Sea Level Trends and Variability of the Baltic Sea From 2D Statistical Reconstruction and Altimetry

et al. 2019

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2D sea level trend and variability fields of the Baltic Sea were reconstructed based on statistical modeling of monthly tide gauge observations, and model reanalysis as a reference. The reconstruction included both absolute and relative sea level (RSL) in 11 km resolution over the period 1900-2014. The reconstructed monthly sea level had an average correlation of 96% and root mean square error of 3.8 cm with 56 tide gauges independent of the statistical model. The statistical reconstruction of sea level was based on multiple linear regression and took land deformation information into account. An assessment of the quality of an open ocean altimetry product (ESA Sea Level CCI ECV, hereafter "the CCI") in this regional sea was performed by validating the variability against the reconstruction as an independent source of sea level information. The validation allowed us to determine how close to the coast the CCI can be considered reliable. The CCI matched reconstructed sea level variability with correlation above 90% and root-mean-square (RMS) difference below 6 cm in the southern and open part of the Baltic Proper. However, areas with seasonal sea ice and areas of high natural variability need special treatment. The reconstructed RSL change, which is important for coastal communities, was found to be dominated by isostatic land movements. This pattern was confirmed by independent observations and the values were provided along the entire coastline of the Baltic Sea. The area averaged absolute sea level change for the Baltic Sea was 1.3 ± 0.3 mm/yr for the 20th century, which was slightly below the global mean for the same period. Considering the relative shortness of the satellite era, natural variability made trend estimation sensitive to the selected data period, but the linear trends derived from the reconstruction (3.4 ± 0.7 mm/yr for 1993-2014) fitted with those of the CCI (4.0 ± 1.4 mm/yr for 1993-2015) and with global mean estimates within the limits of uncertainty.

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Section: Tide Gauge Datamentioning

confidence: 99%

Sea Level Trends and Variability of the Baltic Sea From 2D Statistical Reconstruction and Altimetry

et al. 2019

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“…Weather conditions are of the greatest importance for slip zone creation. Extreme weather conditions in the Baltic Sea are observed increasingly often; therefore, the erosive action can be expected to worsen [53][54][55][56][57][58][59]. The geological structure of the area is characterised by very low permeability.…”

Section: Discussionmentioning

confidence: 99%

“…Intense erosion has occurred on the open coastline of the southern Baltic in the past century. Research has linked these conditions to the size of storms that occur in the Baltic Sea and the rising water level that accompanies these hazardous conditions [54][55][56][57].…”

Section: Baltic Sea Regionmentioning

confidence: 99%

“…The experiment shows that it should not exceed 1 m above the average sea level. According to the results of Wolski and Wisniewski [56] and Gierjatowicz et al [57], sea level exceeding 1 m is associated with high siltation and intensification of difficult environmental conditions (e.g., rainfall). Third, the following conditions should be observed: low winds, weakening sea currents, absence of precipitation, and moderate temperatures.…”

Section: Platforms and Systems Usedmentioning

confidence: 99%

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Bringing Bathymetry LiDAR to Coastal Zone Assessment: A Case Study in the Southern Baltic

Tysiąc

2020

Remote Sensing

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One of the major tasks in environmental protection is monitoring the coast for negative impacts due to climate change and anthropopressure. Remote sensing techniques are often used in studies of impact assessment. Topographic and bathymetric procedures are treated as separate measurement methods, while methods that combine coastal zone analysis with underwater impacts are rarely used in geotechnical analyses. This study presents an assessment of the bathymetry airborne system used for coastal monitoring, taking into account environmental conditions and providing a comparison with other monitoring methods. The tests were carried out on a section of the Baltic Sea where, despite successful monitoring, coastal degradation continues. This technology is able to determine the threat of coastal cliff erosion (based on the geotechnical analyses). Shallow depths have been reported to be a challenge for bathymetric Light Detection and Ranging (LiDAR), due to the difficulty in separating surface, water column and bottom reflections from each other. This challenge was overcome by describing the classification method used which was the CANUPO classification method as the most suitable for the point cloud processing. This study presents an innovative approach to identifying natural hazards, by combining analyses of coastal features with underwater factors. The main goal of this manuscript is to assess the suitability of using bathymetry scanning in the Baltic Sea to determine the factors causing coastal erosion. Furthermore, a geotechnical analysis was conducted, taking into account geometrical ground change underwater. This is the first study which uses a coastal monitoring approach, combining geotechnical computations with remote sensing data. This interdisciplinary scientific research can increase the awareness of the environmental processes.

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“…Recently, the fluctuation of sea condition with regards to increase in sea level, recurrence of water surge and tropical violent winds could be the cause for excessive salt in freshwater which impact the fisheries sectors around the world [16]. Changes in hydrology and meteorology in the study can be a major impact on the salinity levels.…”

Section: Introductionmentioning

confidence: 99%

Temporal variation of salinity in marine water using statistical approaches

Hamzah¹

2019

IJATCSE

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Administration and biodiversity discussion of marine conditions has turned out to be vital worry to every nation around the globe. The nearness of ports, power plants and different exercises in beach front zones will affects physical and synthetic water parameters. Six monitoring stations in the Straits of Johor in the southern part of Peninsular Malaysia are considered in the study. This study attempts to determine trends of salinity from 2004 until 2014 using time series regression model and to identify the marine parameters which are temperature, dissolved oxygen and conductivity that have significant linear relationship with the salinity of surface water using Pearson correlation. Slope of the fitted regression model, B 1 shows significant positive increasing trend on salinity throughout the year with the highest value of 0.018 at B2 and B3 stations. Pearson correlation indicates strong positive linear relationship between salinity and conductivity for each station with r between .75 to .83. There is correlation between salinity and dissolved oxygen and conductivity at station B1, B2, B3 and A3. On the other hand, only conductivity affects salinity level at A2, while temperature and conductivity affect salinity level at A1 station. The physical parameters along Straits of Johor should be continuously monitored in order to maintain the ecosystem and to ensure the activities along the straits does not affect much towards the biodiversity along the area.

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The influence of atmospheric circulation on the water level on the southern coast of the Baltic Sea

Cited by 5 publications

References 32 publications

Sea Level Trends and Variability of the Baltic Sea From 2D Statistical Reconstruction and Altimetry

Sea Level Trends and Variability of the Baltic Sea From 2D Statistical Reconstruction and Altimetry

Bringing Bathymetry LiDAR to Coastal Zone Assessment: A Case Study in the Southern Baltic

Temporal variation of salinity in marine water using statistical approaches

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