A review of the trends observed in British Isles mean sea level data measured by tide gauges

The Permanent Service for Mean Sea Level (PSMSL) is the global databank for long-term mean sea level data and is a member of the Global Geodetic Observing System (GGOS) Bureau of Networks and Observations. As well as curating long-term sea level change information from tide gauges, PSMSL is also involved in developing other products and services including the automatic quality control of near real-time sea level data, distributing Global Navigation Satellite System (GNSS) sea level data and advising on sea level metadata development. At the GGOS Days meeting in November 2019, the GGOS Focus Area 3 on Sea Level Change, Variability and Forecasting was wrapped up, but there is still a requirement in 2020 for GGOS to integrate and support tide gauges and we will discuss how we will interact in the future. A recent paper (Ponte et al., 2019) identified that only &#8220;29% of the GLOSS [Global Sea Level Observing System] GNSS-co-located tide gauges have a geodetic tie available at SONEL [Syst&#232;me d'Observation du Niveau des Eaux Littorales]&#8221; and we as a community still need to improve the ties between the GNSS sensor and tide gauges. This may progress as new GNSS Interferometric Reflectometry (GNSS-IR) sensors are installed to provide an alternative method to observe sea level. As well as recording the sea level, these sensors will also provide vertical land movement information from one location. PSMSL are currently developing an online portal of uplift/subsidence land data and GNSS-IR sea level observation data. To distribute the data, we are creating/populating controlled vocabularies and generating discovery metadata. We are working towards FAIR data management principles (data are findable, accessible, interoperable and reusable) which will improve the flow of quality controlled sea level data and in 2020 we will issue the PSMSL dataset with a Digital Object Identifier. We have been working on improving our discovery and descriptive metadata including creating a use case for the Research Data Alliance Persistent (RDA) Identification of Instruments Working Group to help improve the description of a time series where the sensor and platform may change and move many times. Representatives from PSMSL will sit on the GGOS DOIs for Data Working Group and would like to contribute help with controlled vocabularies, identifying metadata standards etc. We will also contribute to the next GGOS implementation plan. Ponte, Rui M., et al. (2019) "Towards comprehensive observing and modeling systems for monitoring and predicting regional to coastal sea level." Frontiers in Marine Science 6(437).

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Testing an “IoT” Tide Gauge Network for Coastal Monitoring

IoT ◽

10.3390/iot2010002 ◽

2021 ◽

Vol 2 (1) ◽

pp. 17-32

Author(s):

Philip Knight ◽

Cai Bird ◽

Alex Sinclair ◽

Jonathan Higham ◽

Andy Plater

Keyword(s):

Sea Level ◽

Morphological Changes ◽

Tide Gauge ◽

Low Cost ◽

Pressure Sensors ◽

Wave Activity ◽

Tide Gauges ◽

Coastal Monitoring ◽

Level Data ◽

Operational Constraints

A low-cost “Internet of Things” (IoT) tide gauge network was developed to provide real-time and “delayed mode” sea-level data to support monitoring of spatial and temporal coastal morphological changes. It is based on the Arduino Sigfox MKR 1200 micro-controller platform with a Measurement Specialties pressure sensor (MS5837). Experiments at two sites colocated with established tide gauges show that these inexpensive pressure sensors can make accurate sea-level measurements. While these pressure sensors are capable of ~1 cm accuracy, as with other comparable gauges, the effect of significant wave activity can distort the overall sea-level measurements. Various off-the-shelf hardware and software configurations were tested to provide complementary data as part of a localized network and to overcome operational constraints, such as lack of suitable infrastructure for mounting the tide gauges and for exposed beach locations.

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Sea Level in the British Isles: Combining Absolute Gravimetry and Continuous GPS to Infer Vertical Land Movements at Tide Gauges

Dynamic Planet - International Association of Geodesy Symposia ◽

10.1007/978-3-540-49350-1_4 ◽

2008 ◽

pp. 23-30 ◽

Cited By ~ 1

Author(s):

F. N. Teferle ◽

R. M. Bingley ◽

A. I. Waugh ◽

A. H. Dodson ◽

S. D. P. Williams ◽

...

Keyword(s):

Sea Level ◽

British Isles ◽

Tide Gauges ◽

Absolute Gravimetry ◽

Continuous Gps

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Modeling the Nonlinearity of Sea Level Oscillations in the Malaysian Coastal Areas Using Machine Learning Algorithms

Sustainability ◽

10.3390/su11174643 ◽

2019 ◽

Vol 11 (17) ◽

pp. 4643

Author(s):

Vivien Lai ◽

Ali Najah Ahmed ◽

M.A. Malek ◽

Haitham Abdulmohsin Afan ◽

Rusul Khaleel Ibrahim ◽

...

Keyword(s):

Sea Level ◽

Peninsular Malaysia ◽

Machine Learning Algorithms ◽

Support Vector ◽

Mean Sea Level ◽

Sea Levels ◽

Tuning Parameters ◽

Level Data ◽

Input Dataset ◽

Sea Level Oscillations

The estimation of an increase in sea level with sufficient warning time is important in low-lying regions, especially in the east coast of Peninsular Malaysia (ECPM). This study primarily aims to investigate the validity and effectiveness of the support vector machine (SVM) and genetic programming (GP) models for predicting the monthly mean sea level variations and comparing their prediction accuracies in terms of the model performances. The input dataset was obtained from Kerteh, Tioman Island, and Tanjung Sedili in Malaysia from January 2007 to December 2017 to predict the sea levels for five different time periods (1, 5, 10, 20, and 40 years). Further, the SVM and GP models are subjected to preprocessing to obtain optimal performance. The tuning parameters are generalized for the optimal input designs (SVM2 and GP2), and the results denote that SVM2 outperforms GP with R of 0.81 and 0.86 during the training and testing periods, respectively, at the study locations. However, GP can provide values of 0.71 and 0.79 for training and testing, respectively, at the study locations. The results show precise predictions of the monthly mean sea level, denoting the promising potential of the used models for performing sea level data analysis.

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Large earthquakes, mean sea level, and tsunamis along the Pacific Coast of Mexico and Central America

Bulletin of the Seismological Society of America ◽

10.1785/bssa0730020553 ◽

1983 ◽

Vol 73 (2) ◽

pp. 553-570

Author(s):

Gonzalo Cruz ◽

Max Wyss

Keyword(s):

Central America ◽

Sea Level ◽

Pacific Coast ◽

Tide Gauge ◽

Mean Sea Level ◽

Coseismic Change ◽

Level Data ◽

The Pacific ◽

Before And After ◽

The Difference

abstract Along the Pacific Coast of Mexico and Central America, 26 local tsunamis have been reported during the period 1732 to 1973. Nine of these were caused by earthquakes with teleseismic hypocenters, all of which were located well inland. If these epicenters were correct, these earthquakes could not have generated tsunamis. Under the assumption that the true epicenters must have been located at the coast or off shore, it was estimated that teleseismic hypocenters in this area are mislocated by about 75 km toward the northeast, and 20 km toward greater depth. We propose that most teleseismic locations in this area are afflicted by this same error. The most likely cause for the mislocations are shorter than expected travel times for rays in the down-dip direction of the subducted lithospheric slab. These rays travel to North American stations which contribute strongly to hypocenter locations in Middle America. The annual mean sea level of 13 tide gauge stations along the Pacific coast of Mexico and Central America were examined for evidence of vertical crustal deformation changes that could have been associated with earthquakes along this coast. Only one coseismic change could be identified in the annual mean sea level data. It occurred at Acapulco, Mexico, during the 11 May (Ms = 7.0) and 19 May (Ms = 7.2) 1962 earthquakes. The crustal uplift was about 22 cm, estimated from the difference of the 10-yr sea level means before and after the events. By comparing annual mean with daily mean sea level data, it appears that about 23 per cent of the permanent uplift observed at Acapulco was due to aseismic slip or aftershocks in this area. If tide gauge data in this area are kept current, long-term precursory crustal movements might be detectable if they exceed several centimeters.

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Integrating Non-Tidal Sea Level data from altimetry and tide gauges for coastal sea level prediction

Advances in Space Research ◽

10.1016/j.asr.2011.11.016 ◽

2012 ◽

Vol 50 (8) ◽

pp. 1099-1106 ◽

Cited By ~ 14

Author(s):

Yongcun Cheng ◽

Ole Baltazar Andersen ◽

Per Knudsen

Keyword(s):

Sea Level ◽

Tide Gauges ◽

Level Data ◽

Coastal Sea

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Meteotsunami research in the Strait of Georgia: Critical observational contributions from a student school network on Vancouver Island

10.5194/egusphere-egu2020-771 ◽

2020 ◽

Author(s):

Alexander Rabinovich ◽

Jadranka Šepić ◽

Richard Thomson

Keyword(s):

Sea Level ◽

Vancouver Island ◽

Small Scale ◽

Tide Gauges ◽

Strait Of Georgia ◽

Level Data ◽

Atmospheric Disturbances ◽

Sea Level Oscillations ◽

School Network ◽

The Persian Gulf

Meteorological tsunamis are frequently destructive tsunami-like waves generated by small-scale atmospheric disturbances. Several devastating events occurred recently in various regions of the world oceans, including the Balearic Islands, Sicily, the Adriatic and Black seas, the Great Lakes, the west coast of South Korea, the Netherlands and the Persian Gulf. Although this phenomenon has been actively studied for more than 25 years, the exact mechanism (or mechanisms) responsible for producing these extreme events remains a puzzle. One of the major problems making it difficult to determine the physical process generating meteotsunamis is the absence of a network of simultaneously working precise tide gauges and microbarographs in the affected region. A unique set of high-resolution atmospheric data from the meteorological &#8220;school network&#8221; of 132 school stations became available for 2008-2019 for the area of southern Vancouver Island and nearby Gulf Islands located in the Strait of Georgia. These data, combined with 1-min sea level data from Canadian Hydrographic Service (CHS) and USA National Oceanic and Atmospheric Administration (NOAA) tide gauges, has enabled us to examine both the spatial and temporal features of mesoscale atmospheric disturbances and coincident properties of the associated sea level oscillations. The data analyses, supported by a series of numerical experiments, has made it possible to reconstruct observed events and to determine the specific atmospheric parameters producing the strongest sea level response in the southern part of the Strait of Georgia. These experiments have helped us to recognize the most effective (and hence, most hazardous) directions and speeds of propagating atmospheric disturbances and to identify &#8220;hot spots&#8221; along the coast that are under the highest risk of large meteotsunamis.

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