2017
DOI: 10.1130/g38372.1
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Regional variability in the frequency and magnitude of large explosive volcanic eruptions

Abstract: Quantifying the frequency at which volcanic eruptions of different size occurs is important for hazard assessment. Volcanic records can be used to estimate the recurrence rate of large-magnitude eruptions (magnitude ≥4), but recording biases that impact data completeness complicate analysis. To overcome these biases, we conceptualize the volcanic record as a series of individual and unique time series associated by a common behavior. Thus, we approach issues of completeness on a volcano-by-volcano basis and us… Show more

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Cited by 21 publications
(27 citation statements)
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“…Compared to Sheldrake and Caricchi (2017), who use the same version of LaMEVE as we do (although without our update, see section 3), our return periods for M ≤ 7 are much longer. Sheldrake and Caricchi (2017) noted the rounding issue, and attributed it, as we do, to rounding to the nearest integer. They also binned their magnitudes, but centred on the 0.5's, not the integers; i.e.…”
Section: Parametric Modelmentioning
confidence: 90%
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“…Compared to Sheldrake and Caricchi (2017), who use the same version of LaMEVE as we do (although without our update, see section 3), our return periods for M ≤ 7 are much longer. Sheldrake and Caricchi (2017) noted the rounding issue, and attributed it, as we do, to rounding to the nearest integer. They also binned their magnitudes, but centred on the 0.5's, not the integers; i.e.…”
Section: Parametric Modelmentioning
confidence: 90%
“…Second, the stationarity of eruption Table 6, p14, Holocene, u = 4.0; see their Figure 10 for confidence intervals. Sheldrake and Caricchi (2017): Based on the text above their Figure 4, applying the percentage differences to the values from Pyle (1995).…”
Section: Parametric Modelmentioning
confidence: 99%
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“…This allows more detailed, potentially time dependent, analysis of trends such as clustering or cyclic eruption activity at individual volcanoes, and permits shorter term hazard and risk assessments that can be updated if unrest is observed. While clearly this is not feasible for a large number of volcanoes, further improvements in the characterization of frequency-magnitude relationships from incomplete eruption catalogues, particularly those that use innovative statistical methods (e.g., Rougier et al, 2016) and incorporate the tectonic or volcanic setting (e.g., Sheldrake and Caricchi, 2016), will be invaluable.…”
Section: The Way Forwardmentioning
confidence: 99%
“…And for very large Journal of Geophysical Research: Earth Surface 10.1029/2017JF004369 eruptions, the small number of recorded events makes recurrence rates more uncertain. Rougier et al (2018) estimate the return period of M = 8 eruptions at 17 kyr with 95% confidence limits of +48 and −5.2 kyr, a decrease from prior calculations (Mason et al, 2004;Sheldrake & Caricchi, 2017).…”
Section: Competition Between Emplacement Rate and Erosion Ratementioning
confidence: 93%