2013
DOI: 10.1016/j.jhydrol.2012.12.019
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Analysing the 100year sea level record of Leixões, Portugal

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Cited by 15 publications
(6 citation statements)
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“…Other sources gave data from sites including Keelung [ Hirayama , ; Omori , ], Kaohsiung [ Hirayama , ], Bombay [ Burrard , ; Parkes , ], Karachi [ Parkes , ], New York [ Tuttle , ; Burr et al ., ; Schureman , ], Boston [ Freeman , ; Schureman et al ., ], Halifax, Quebec [ Dawson , ], Victoria, Vancouver, Point Atkinson, Prince Rupert [ Dawson , ], Buenos Aires [ Bateman , ], and Amsterdam [ van Veen , ]. Data from more recently published long time series were also included: Hansweert, Ternuezen [ Kuijper and Lescinski [], and Rijkswaterstaat), Ostende [ Lebbe et al ., ], Keelung, Kaohsiung [ Tseng et al ., ], Key West [ Maul and Martin , ], Stockholm [ Ekman , ], Wellington [ Bell and Hannah , ], Auckland [ Hannah et al ., ], San Francisco [ Breaker and Ruzmaikin , ], Cadiz [ Marcos et al ., ], Leixoes [ Araújo et al ., ], Kronstadt [ Bogdanov , ], Pertuis d'Antioche [ Gouriou et al ., ], Delfzijl and Den Helder [ Wahl et al ., ], Tallin [ Suursaar et al ., ], Kolobrzeg [ Zorita and Hünicke , ], Aburatsubo, Hosojima, Wajima (from Geospatial Information Authority of Japan, updated 2013) and Brest [ Woppelmann et al , ]. Some of these are not in the PSMSL data set, and some may not be subject to the same quality control, but it is hoped that the quantity of time series will still allow meaningful statistics to be derived.…”
Section: Data Sourcesmentioning
confidence: 99%
“…Other sources gave data from sites including Keelung [ Hirayama , ; Omori , ], Kaohsiung [ Hirayama , ], Bombay [ Burrard , ; Parkes , ], Karachi [ Parkes , ], New York [ Tuttle , ; Burr et al ., ; Schureman , ], Boston [ Freeman , ; Schureman et al ., ], Halifax, Quebec [ Dawson , ], Victoria, Vancouver, Point Atkinson, Prince Rupert [ Dawson , ], Buenos Aires [ Bateman , ], and Amsterdam [ van Veen , ]. Data from more recently published long time series were also included: Hansweert, Ternuezen [ Kuijper and Lescinski [], and Rijkswaterstaat), Ostende [ Lebbe et al ., ], Keelung, Kaohsiung [ Tseng et al ., ], Key West [ Maul and Martin , ], Stockholm [ Ekman , ], Wellington [ Bell and Hannah , ], Auckland [ Hannah et al ., ], San Francisco [ Breaker and Ruzmaikin , ], Cadiz [ Marcos et al ., ], Leixoes [ Araújo et al ., ], Kronstadt [ Bogdanov , ], Pertuis d'Antioche [ Gouriou et al ., ], Delfzijl and Den Helder [ Wahl et al ., ], Tallin [ Suursaar et al ., ], Kolobrzeg [ Zorita and Hünicke , ], Aburatsubo, Hosojima, Wajima (from Geospatial Information Authority of Japan, updated 2013) and Brest [ Woppelmann et al , ]. Some of these are not in the PSMSL data set, and some may not be subject to the same quality control, but it is hoped that the quantity of time series will still allow meaningful statistics to be derived.…”
Section: Data Sourcesmentioning
confidence: 99%
“…However, besides the scientific invalidations of such assumptions, the atmosphere and the Earth's surface do not behave uniformly in time and space, and only the following example invalidates such statements and beliefs of homogeneous behavior. The survey on measurements [18] reveals that the sea level in the period 1906-2008 varied -0.70 mm/yr, which does not agree with the "global" sea level rise of +1 -2 mm/yr. Moreover, since the planet is composed by deserts and forests, the concentrations of CO 2 between these two places should differ.…”
Section: The Physical and Mathematical Demonstrationsmentioning
confidence: 83%
“…As an example, there is not a clear trend for sea-level rise at the Portuguese coast. For different locations and periods, several authors report values of 1.3 [97], 1.9 [98], or even À0.7 mm/year [99], which does not agree with the global mean sea level rise of 1-2 mm/year, although locally, sea level can present increasing or decreasing trends [2]. To properly represent the effect of sea-level rise over the hydrodynamic conditions for a particular region, all these trends should be carefully evaluated and properly integrated into the numerical models.…”
Section: Discussionmentioning
confidence: 99%