Combination of Multisatellite Altimetry and Tide Gauge Data for Determining Vertical Crustal Movements along Northern Mediterranean Coast

García, Francisco J.; Vigo, M. I.; García-García, David; Sanchez-Reales, J. M.

doi:10.1007/s00024-011-0400-5

Cited by 15 publications

(4 citation statements)

References 27 publications

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“…The combination of the two data-sets has been used in previous works for several purposes. Fenoglio-Marc (2004) and García et al (2012) combined satellite altimetry and tide gauge data in the Mediterranean Sea to estimate vertical motions of the Earth's crust. Using a generalized least squares method, Mangiarotti (2007) performed a joint analysis of TOPEX/Poseidon satellite altimetry and tide gauge data to estimate sea level trends along the Mediterranean Sea coasts.…”

Section: Introductionmentioning

confidence: 99%

Sea-level variability in the Mediterranean Sea from altimetry and tide gauges

et al. 2016

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mean sea-level and the coastal stations. From 1993 to 2012, the mean sea-level trend (2.44 ± 0.5 mm year −1 ) was found to be affected by the positive anomalies of 2010 and 2011, which were observed in all the cases analysed and were mainly distributed in the eastern part of the basin. Ensemble empirical mode decomposition showed that these events were related to the processes that have dominant periodicities of ∼10 years, and positive residual sea-level trend were generally observed in both data-sets. In terms of mean sea-level trends, a significant positive sea-level trend (>95 %) in the Mediterranean Sea was found on the basis of at least 15 years of data.

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Section: Introductionmentioning

confidence: 99%

Sea-level variability in the Mediterranean Sea from altimetry and tide gauges

et al. 2016

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“…The 4.7 cm bias in Bilbao may be related to an error in the datum definition of the SRD, which could account for half of this difference, combined with the influence of the large distance between the stations (1 km). Valencia bias is known to be originated by a problem in the SRD sensor that is probably related to an accidental change of datum during maintenance performed in 2003 rather than to harbour development, as has been stated in García et al (2012). This error could explain at least 6 of the 9.67 cm of bias observed during the overlapping period.…”

Section: St1/st2mentioning

confidence: 86%

“…Although comparison of these two trends must be done carefully due to the differences explained in Sect. 3.2, monthly means from the tide gauges have been used in other works for this purpose (García et al, 2012 ). The glacial isostatic adjustment (GIA) is the only component of land movement at the tide gauges that we know from the Peltier model (Peltier, 2004).…”

Section: St1/st2mentioning

confidence: 99%

Overlapping sea level time series measured using different technologies: an example from the REDMAR Spanish network

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Payo

López³

et al. 2014

Nat. Hazards Earth Syst. Sci.

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Abstract. This paper addresses the problems of overlapping sea level time series measured using different technologies and sometimes from different locations inside a harbour. The renovation of the Spanish REDMAR (RED de MAReó-grafos) sea level network is taken here as an example of the difficulties encountered: up to seventeen old tide gauge stations have been replaced by radar tide gauges all around the Spanish coast, in order to fulfil the new international requirements on tsunami detection. Overlapping periods between old and new stations have allowed the comparison of records in different frequency ranges and the determination of the impact of this change of instrumentation on the long-term sea level products such as tides, surges and mean sea levels. The differences encountered are generally within the values expected, taking into account the characteristics of the different sensors, the different sampling strategies and sometimes the different locations inside the harbours. However, our analysis has also revealed in some cases the presence of significant scale errors that, overlapping with datum differences and uncertainties, as well as with hardware problems in many new radar gauges, may hinder the generation of coherent and continuous sea level time series. Comparisons with nearby stations have been combined with comparisons with altimetry time series close to each station in order to better determine the sources of error and to guarantee the precise relationships between the sea level time series from the old and the new tide gauges.

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“…The two stations are located approximately 650 meters apart. We delimited the area of the altimetric observations based on the studies of Garcıa et al (2011);and Montecino et al (2017), who analyzed an area that allowed obtaining Sea Surface Height (SSH) values over a 500 km radius over the ocean from the tide gauge location. According to the authors, this radius was determined by convoluting the satellite altimetry data into a two-dimensional Gaussian function centered on the tide gauge location.…”

Section: Study Areamentioning

confidence: 99%

Determination of vertical land movements through the integration of tide gauge observations and satellite altimetry data at the Brazilian Vertical Datum from 2002 to 2015

Giehl

Dalazoana

2022

Bol. Ciênc. Geod.

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Satellite altimetry missions and tide gauges allow the monitoring of sea level variations over time. While tide gauges monitor sea level relative to a local reference, satellite altimetry missions do so in relation to the Earth's geocenter. From the comparison between time series generated by these two methods, we observed differences that may be related to possible vertical land movement (VLM). Our objective in this study is to determine the linear trends of VLMs from the difference between the sea level trend found by the satellite altimetry missions TOPEX/Poseidon, JASON 1, 2 and 3 ( SA v ) and the sea level trend found by the tide gauge of Imbituba in Santa Catarina (SC), Brazil ( TG v ). For this, we demarcated cells along the satellite tracks at a radius of up to 500 km over the ocean from the location of the tide gauge station. The mean values for SA v (1992( ) and TG v (2002( -2015 were 2.5 mm/a ±1.2 mm/a and 5.4 mm/a ±1.9 mm/a, while the mean values for SA v (2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015) and TG v (2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015) were 7.1 mm/a ±4.6 mm/a and 13.0 mm/a ±4.2 mm/a, respectively. The comparison of VLM obtained between the combination of SA v and TG v and GNSS showed results with better consistency over longer time series.

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Combination of Multisatellite Altimetry and Tide Gauge Data for Determining Vertical Crustal Movements along Northern Mediterranean Coast

Cited by 15 publications

References 27 publications

Sea-level variability in the Mediterranean Sea from altimetry and tide gauges

Sea-level variability in the Mediterranean Sea from altimetry and tide gauges

Overlapping sea level time series measured using different technologies: an example from the REDMAR Spanish network

Determination of vertical land movements through the integration of tide gauge observations and satellite altimetry data at the Brazilian Vertical Datum from 2002 to 2015

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