A long-term trend and temporal fluctuations of the sea level at the Polish Baltic coast

2011 ◽  
Vol 40 (2) ◽  
Author(s):  
Bernard Wiśniewski ◽  
Tomasz Wolski ◽  
Stanisław Musielak
Keyword(s):  
Spectral Analysis ◽  
Sea Level ◽  
Data Series ◽  
Sea Level Changes ◽  
Mean Sea Level ◽  
Term Trend ◽  
Baltic Coast ◽  
Long Term Trend ◽  
Linear Trends

AbstractThe analysis of sea level record series along the Polish coast is presented. The main aim was to identify linear trends in the sea level changes at the coastal (Świnoujście, Kołobrzeg, Ustka, Łeba, Władysławowo, Hel, Gdynia, Gdańsk), lagoonal (Trzebież, Tokmicko) and riverine (Szczecin) gauge stations. The analysis showed individual coastal stations to differ in the rate of sea level changes. During 60 years of continuous observations (1947–2006), the differences varied from 1.0 (the western part of the coast) to 2.5 mm year−1 (the eastern part of the coast). The longest, more than 100-yr-long data series showed the sea level rise in Świnoujście and Kołobrzeg to be about 0.5 mm year−1; 1.57 mm year−1 being revealed in Gdańsk. Spectral analysis applied to the data showed numerous fluctuations and cyclicity in changes of the annual mean sea level at the Polish coast. A distinct, major 3-year cycle was revealed. In addition, three secondary cycles of 4.6, 6.7, and 8.6 years were present in the data, more or less clearly identifiable at individual stations.

Middle and Late Holocene Sea-Level Changes in Eastern Maine Reconstructed from Foraminiferal Saltmarsh Stratigraphy and AMS 14C Dates on Basal Peat

1999 ◽  
Vol 52 (3) ◽  
pp. 350-359 ◽  
Author(s):  
W.Roland Gehrels
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Tidal Range ◽  
Sea Level Changes ◽  
The Past ◽  
Amplitude Fluctuations ◽  
Vertical Distributions ◽  
Low Amplitude ◽  
Long Term Trend

A relative sea-level history is reconstructed for Machiasport, Maine, spanning the past 6000 calendar year and combining two different methods. The first method establishes the long-term (103 yr) trend of sea-level rise by dating the base of the Holocene saltmarsh peat overlying a Pleistocene substrate. The second method uses detailed analyses of the foraminiferal stratigraphy of two saltmarsh peat cores to quantify fluctuations superimposed on the long-term trend. The indicative meaning of the peat (the height at which the peat was deposited relative to mean tide level) is calculated by a transfer function based on vertical distributions of modern foraminiferal assemblages. The chronology is determined from AMS 14C dates on saltmarsh plant fragments embedded in the peat. The combination of the two different approaches produces a high-resolution, replicable sea-level record, which takes into account the autocompaction of the peat sequence. Long-term mean rates of sea-level rise, corrected for changes in tidal range, are 0.75 mm/yr between 6000 and 1500 cal yr B.P. and 0.43 mm/yr during the past 1500 year. The foraminiferal stratigraphy reveals several low-amplitude fluctuations during a relatively stable period between 1100 and 400 cal yr B.P., and a sea-level rise of 0.5 m during the past 300 year.

scholarly journals Technical Note: Mean sea level variation in the Singapore Strait from long-term tide data

2012 ◽  
Vol 9 (3) ◽  
pp. 2255-2271
Author(s):  
P. Tkalich ◽  
M. T. Babu ◽  
P. Vethamony
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
El Niño ◽  
El Nino ◽  
Level Variation ◽  
Sea Level Changes ◽  
Mean Sea Level ◽  
Sea Level Variation ◽  
Singapore Strait

Abstract. Winds over the South China Sea (SCS) are primarily responsible for the observed variability in sea level anomalies (SLAs) in the Singapore Strait (SS). The present study focuses on remote forcing contributing to local mean sea level changes in the SS in seasonal and inter-annual scales, and relating the long term mean sea level variation to El Niño/ENSO. As Tanjong Pagar (TP) tide station in the SS has nearly 23.5 yr (1984–2007) of time series data with less data gaps, this data was subject to harmonic and sea level analyses. The mean sea level changes suggest that the fluctuations are quasi-periodic. Rising and falling of sea level is noticed atleast 7 times in a period of 15 yr, with 3 distinct sharp falls (1984–1987, 1989–1992 and 1995–1996) and 4 sharp rises (1987–1988, 1992–1993, 1994–1995 and 1997–1999). These sea level falls are related to El Niño events. When we segregated the results into 2 time spans, we find that from 1984 to 1999 the sea level was on the rising trend in spite of sharp falls, and from 1999 to 2007 on gradual falling trend. More or less similar trend was observed by other researchers for the SCS with altimetry data. During the El Niño periods of 1987 and 1992, the inter-annual MSL variability is the highest, of the order of 7 cm. In one of the events, sea level recovered from a fall of 60 mm (in 1987) to a rise of 40 mm (in 1988). During 1992 to 1999, sea level was continuously on rising trend (from −50 mm to +60 mm), except in one year (1995–1996). The analysis shows a MSL rise rate of 15.7 mm yr−1, which is very closer to MSL in the SCS. The average rate of sea level rise around Singapore as shown by the Tanjong Pagar tidal station is 1.6 mm yr−1, and this matches with the global sea level rise.

Thermosteric Effects on Interannual and Long-term Global Mean Sea Level Changes

2006 ◽  
Vol 80 (5) ◽  
pp. 240-247 ◽  
Author(s):  
J. L. Chen ◽  
C. R. Wilson ◽  
B. D. Tapley ◽  
X. G. Hu
Keyword(s):  
Sea Level ◽  
Sea Level Changes ◽  
Mean Sea Level ◽  
Global Mean Sea Level ◽  
Global Mean

Inter-annual and long-term mean sea level changes along the North Sea coastline

2013 ◽  
Vol 165 ◽  
pp. 1987-1992 ◽  
Author(s):  
Thomas Wahl ◽  
Ivan D. Haigh ◽  
Sönke Dangendorf ◽  
Jürgen Jensen
Keyword(s):  
Sea Level ◽  
North Sea ◽  
Sea Level Changes ◽  
Mean Sea Level ◽  
The North ◽  
The North Sea

scholarly journals Nonlinear absolute sea-level patterns in the long-term-trend tide gauges of the East Coast of North America

2021 ◽  
Vol 10 (1) ◽  
pp. 1-15
Author(s):  
Alberto Boretti
Keyword(s):  
North America ◽  
Sea Level ◽  
East Coast ◽  
Tide Gauge ◽  
Tide Gauges ◽  
Sea Levels ◽  
Term Trend ◽  
The Absolute ◽  
Long Term Trend

Abstract The paper provides an estimate of the latest relative and absolute rates of rise and accelerations of the sea levels for the East Coast of North America. The computation is based on the long-term trend (LTT) tide gauge records of the relative sea levels and the Global Navigation Satellite System (GNSS) time series of the absolute position of fixed dome nearby the tide gauges. The GNSS result is used to infer the subsidence or uplift of the tide gauge instrument. The data of 33 LTT tide stations with more than 80 years of data are shown. The average relative sea-level rise is +2.22 mm/yr. subjected to a small, positive average acceleration of +0.0027 mm/yr2. The average absolute velocity of the tide gauge instruments is −0.52 mm/yr. translating in an average absolute sea-level rise of +1.70 mm/yr. This is the first paper publishing a comprehensive survey of the absolute sea-level rates of rise along the East Coast of North America using the reliable information of relative sea-level rates of rise from LTT tide gauges, plus the absolute subsidence rates from GNSS antennas that are close to the tide gauges installations.

A study of sea level variability and its long-term trend in the South China Sea

2016 ◽  
Vol 35 (9) ◽  
pp. 22-33 ◽  
Author(s):  
Ying Xu ◽  
Mingsen Lin ◽  
Quan’an Zheng ◽  
Qingtao Song ◽  
Xiaomin Ye
Keyword(s):  
South China Sea ◽  
Sea Level ◽  
South China ◽  
The South China Sea ◽  
The South ◽  
Sea Level Variability ◽  
Term Trend ◽  
China Sea ◽  
Long Term Trend

'Clean' spectral analysis of long-term sea-level changes

Terra Nova ◽  
1990 ◽  
Vol 2 (2) ◽  
pp. 138-141 ◽  
Author(s):  
J.G. Negi ◽  
R.K. Tiwari ◽  
K.N.N. Rao
Keyword(s):  
Spectral Analysis ◽  
Sea Level ◽  
Sea Level Changes

scholarly journals Nonlinear sea level trends from European tide gauge records

2004 ◽  
Vol 22 (5) ◽  
pp. 1465-1472 ◽  
Author(s):  
S. M. Barbosa ◽  
M. J. Fernandes ◽  
M. E. Silva
Keyword(s):  
Sea Level ◽  
Tide Gauge ◽  
Research Effort ◽  
Linear Trend ◽  
Complex Structure ◽  
Tide Gauge Records ◽  
Mean Sea Level ◽  
Deterministic Function ◽  
Linear Trends

Abstract. Mean sea level is a variable of considerable interest in meteorological and oceanographic studies, particularly long-term sea level variation and its relation to climate changes. This study concerns the analysis of monthly mean sea level data from tide gauge stations in the Northeast Atlantic with long and continuous records. Much research effort on mean sea level studies has been focused on identifying long-term linear trends, usually estimated through least-squares fitting of a deterministic function. Here, we estimate nonparametric and robust trends using lowess, a robust smoothing procedure based on locally weighted regression. This approach is more flexible than a linear trend to describe the deterministic part of the variation in tide gauge records, which has a complex structure. A common trend pattern of reduced sea levels around 1975 is found in all the analysed records and interpreted as the result of hydrological and atmospheric forcing associated with drought conditions at the tide gauge sites. This feature is overlooked by a linear regression model. Moreover, nonlinear deterministic behaviour in the time series, such as the one identified, introduces a bias in linear trends determined from short and noisy records.Key words. Oceanography: physical (sea level variations); Hydrology (water balance)

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