scholarly journals Determination of the absolute rate of sea level by using GPS reference station and tide gauge data

2005 ◽  
Vol 8 (3) ◽  
pp. 220-224
Author(s):  
Jiao Wenhai ◽  
Guo Hairong ◽  
Fu Yang ◽  
Wei Ziqing
Keyword(s):  
Sea Level ◽  
Tide Gauge ◽  
Reference Station ◽  
Absolute Rate ◽  
Tide Gauge Data ◽  
Gauge Data ◽  
The Absolute

scholarly journals More confounders at global and decadal scales in detecting recent sea level accelerations

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
H. Bâki Iz
Keyword(s):  
Sea Level ◽  
Satellite Altimetry ◽  
Tide Gauge ◽  
Almost Periodic ◽  
Altimetry Data ◽  
Tide Gauge Data ◽  
Gauge Data ◽  
Close Range ◽  
Globally Distributed ◽  
Satellite Altimetry Data

AbstractThe residuals of 27 globally distributed long tide gauge recordswere scrutinized after removing the globally compounding effect of the periodic lunar node tides and almost periodic solar radiation’s sub and superharmonics from the tide gauge data. The spectral analysis of the residuals revealed additional unmodeled periodicities at decadal scales, 19 of which are within the close range of 12–14 years, at 27 tide gauge stations. The amplitudes of the periodicitieswere subsequently estimated for the spectrally detected periods and they were found to be statistically significant (p «0.05) for 18 out of 27 globally distributed tide gauge stations. It was shown that the estimated amplitudes at different localities may have biased the outcome of all the previous studies based on tide gauge or satellite altimetry data that did not account for these periodicities, within the range −0.5 – 0.5 mm/yr., acting as another confounder in detecting 21st century sea level rise.

scholarly journals Modeling regional sea level rise using local tide gauge data

2012 ◽  
Vol 2 (3) ◽  
pp. 188-199 ◽  
Author(s):  
H. Bâki Iz ◽  
L. Berry ◽  
M. Koch
Keyword(s):  
Sea Level ◽  
Tide Gauge ◽  
Reference Level ◽  
Tide Gauge Data ◽  
Mean Sea Level ◽  
Proposed Model ◽  
Gauge Data ◽  
Local Reference ◽  
Order Of Magnitude ◽  
Serial Correlations

AbstractCurrently regional mean sea level trends and variations are inferred from the analysis of several individual local tide gauge data that spanonly a long period of time at a given region. In this study, we propose using a model to merge various tide gauge data, regardless of theirtime span, in a single solution, to estimate parameters representative of regional mean sea level trends. The proposed model can accountfor the geographical correlations among the local tide gauge stations as well as serial correlations, if needed, for individual stations’ data.Such a vigorous regional solution enables statistically optimal uncertainties for estimated and projected trends. The proposed formulationalso unifies all the local reference levels by modeling their offsets from a predefined station’s reference level. To test its effectiveness, theproposed model was used to investigate the regional mean sea level variations for the coastal areas of the Florida Panhandle using 26 localtide gauge stations that span approximately 830 years of monthly averages from the Permanent Service for Mean Sea Level repository. Thenew estimate for the regional trend is 2.14 mm/yr with a ±0.03 mm/yr standard error, which is an order of magnitude improvement overthe most recent mean sea level trend estimates and projections for the Florida region obtained from simple averages of local solutions.

Review and Assessment of gap-filling methods from tide-gauges: Maxima missing at the Esbjerg, Denmark station, before 1910.

2020 ◽  
Author(s):  
Peter Thejll
Keyword(s):  
Sea Level ◽  
Tide Gauge ◽  
Model Fit ◽  
Tide Gauges ◽  
Harmonic Model ◽  
Gap Filling ◽  
Tide Gauge Data ◽  
Tide Gauge Record ◽  
Long Baseline ◽  
Gauge Data

<p>Information on extremes of the sea-level is obtained from tide-gauge<br>records.  Such records may have gaps.</p><p>Estimates of potential changes in the size and/or frequency of sea-level<br>extremes are hampered by long gaps, or when just the high extremes are<br>missing due, e.g. to equipment failure.</p><p>Methods used for filling such gaps can be based on having multiple<br>records from gauges near each other; but what to do if there is<br>only one record? This problem can typically occur when old tide-gauge<br>records are used -- the use of multiple recorders at the same place is<br>more wide-spread today. However, especially older and therefore longer<br>records hold the key to obtaining long-baseline insights into the temporal<br>evolution of extreme tides and thus impacts of e.g. climate change.</p><p>In this work, we review and assess methods for gap filling. We asses using<br>the 'known truth' method, i.e. by applying realistic gaps to complete<br>gauge records and reconstructing and then comparing errors calculated as<br>the diffrence between modelled and actual values.  We compare a simple<br>harmonic model fit method to various spline methods as well as Neural<br>network and deep learning approches.  We also test a hybrid method<br>which uses not just tide-gauge data but also air pressure readings<br>from a meteorological station near the tide-gauge.</p><p>We then attempt to fill in the missing maxima of the Esbjerg, Denmark<br>hourly tide-gauge record since 1889. Particularly, before 1910 the maxima<br>above 300 cm are missing (Bijl, et al., 1999), and we try to fill these in.</p>

Sea-Level Variation in Hudson Bay, Canada, from Tide-Gauge Data

2000 ◽  
Vol 32 (3) ◽  
pp. 331 ◽  
Author(s):  
William A. Gough ◽  
Carol A. Robinson
Keyword(s):  
Sea Level ◽  
Tide Gauge ◽  
Hudson Bay ◽  
Level Variation ◽  
Tide Gauge Data ◽  
Sea Level Variation ◽  
Gauge Data

scholarly journals Tide prediction machines at the Liverpool Tidal Institute

2020 ◽  
Vol 11 (1) ◽  
pp. 15-29
Author(s):  
Philip L. Woodworth
Keyword(s):  
Tide Gauge ◽  
100Th Anniversary ◽  
Tide Gauge Data ◽  
Basic Principles ◽  
The World ◽  
Gauge Data ◽  
Set Up ◽  
The Uk ◽  
Made In

Abstract. The 100th anniversary of the Liverpool Tidal Institute (LTI) was celebrated during 2019. One aspect of tidal science for which the LTI acquired a worldwide reputation was the development and use of tide prediction machines (TPMs). The TPM was invented in the late 19th century, but most of them were made in the first half of the 20th century, up until the time that the advent of digital computers consigned them to museums. This paper describes the basic principles of a TPM, reviews how many were constructed around the world and discusses the method devised by Arthur Doodson at the LTI for the determination of harmonic tidal constants from tide gauge data. These constants were required in order to set up the TPMs for predicting the heights and times of the tides. Although only 3 of the 30-odd TPMs constructed were employed in operational tidal prediction at the LTI, Doodson was responsible for the design and oversight of the manufacture of several others. The paper demonstrates how the UK, and the LTI and Doodson in particular, played a central role in this area of tidal science.

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