2015
DOI: 10.1016/j.epsl.2015.07.034
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Relative sea-level change in Connecticut (USA) during the last 2200 yrs

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Cited by 72 publications
(71 citation statements)
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“…The authors estimate rates of sea level rise during the 20 th century of ~1.9 mm/year for Connecticut, New Jersey and North Carolina respectively, and ~1.5 mm/year for Florida, each of these above the longer-term background rates at each site. From change point analysis of their salt marsh time series, Kemp et al (2015) conclude that the '20 th century' sea level rise commenced around 1865-1873 similarly in Connecticut, New Jersey, North Carolina and Florida, a conclusion consistent with the later analysis of Kopp et al (2016). Gaussian Process (EIV-IGP) model fits to each individual salt marsh record as shown in Figure 8 of Kemp et al (2015), using the technique described by Cahill et al (2015).…”
Section: Msl-difference Over Longer Timescales Than the Tide Gauge Resupporting
confidence: 72%
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“…The authors estimate rates of sea level rise during the 20 th century of ~1.9 mm/year for Connecticut, New Jersey and North Carolina respectively, and ~1.5 mm/year for Florida, each of these above the longer-term background rates at each site. From change point analysis of their salt marsh time series, Kemp et al (2015) conclude that the '20 th century' sea level rise commenced around 1865-1873 similarly in Connecticut, New Jersey, North Carolina and Florida, a conclusion consistent with the later analysis of Kopp et al (2016). Gaussian Process (EIV-IGP) model fits to each individual salt marsh record as shown in Figure 8 of Kemp et al (2015), using the technique described by Cahill et al (2015).…”
Section: Msl-difference Over Longer Timescales Than the Tide Gauge Resupporting
confidence: 72%
“…From change point analysis of their salt marsh time series, Kemp et al (2015) conclude that the '20 th century' sea level rise commenced around 1865-1873 similarly in Connecticut, New Jersey, North Carolina and Florida, a conclusion consistent with the later analysis of Kopp et al (2016). Gaussian Process (EIV-IGP) model fits to each individual salt marsh record as shown in Figure 8 of Kemp et al (2015), using the technique described by Cahill et al (2015). Since salt marsh sample ages are uncertain, the EIV approach is necessary to also account for error in the explanatory variable (sample age), which is assumed to be accurately known in standard regression methods; the Figure 8 of Kemp et al (2015) (reproduced here in Figure 7f).…”
Section: Msl-difference Over Longer Timescales Than the Tide Gauge Resupporting
confidence: 72%
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