Results 1 to 10 of about 906,953 (175)
Intra‐Eruption Forecasting Using Analogue Volcano and Eruption Sets
Journal of Geophysical Research: Solid Earth, 2022 Forecasting the likely style and chronology of activity within an eruption is a complex issue that has received far less attention than forecasting the onset and/or the magnitude.
Mark Bebbington, Susanna F Jenkins
exaly +5 more sources
Ergodic seismic precursors and transfer learning for short term eruption forecasting at data scarce volcanoes [PDF]
Nature CommunicationsSeismic data recorded before volcanic eruptions provides important clues for forecasting. However, limited monitoring histories and infrequent eruptions restrict the data available for training forecasting models.
Alberto Ardid +17 more
doaj +3 more sources
Intra-eruption forecasting [PDF]
Bulletin of Volcanology, 2019 Forecasting eruption onsets has received much attention, in both the short and long term. However, an eruption is not easily reduced to an instant in time, and forecasting what happens after eruption onset has received little attention.
Mark Bebbington +2 more
exaly +4 more sources
Frontiers in Earth Science, 2022 Auckland, a city of 1.6 million people, is situated atop the active monogenetic Auckland Volcanic Field (AVF). Thus, short-term eruption forecasting is critical to support crisis management in a future event, especially to inform decisions such as ...
Alec J. Wild +2 more
doaj +4 more sources
Pilot study of eruption forecasting with muography using convolutional neural network. [PDF]
Sci Rep, 2020 Muography is a novel method of visualizing the internal structures of active volcanoes by using high-energy near-horizontally arriving cosmic muons. The purpose of this study is to show the feasibility of muography to forecast the eruption event with the
Nomura Y +9 more
europepmc +2 more sources
A unified probabilistic framework for volcanic hazard and eruption forecasting [PDF]
Natural Hazards and Earth System Sciences, 2021 The main purpose of this article is to emphasize the importance of clarifying the probabilistic framework adopted for volcanic hazard and eruption forecasting. Eruption forecasting and volcanic hazard analysis seek to quantify the deep uncertainties that
W. Marzocchi, J. Selva, T. H. Jordan
doaj +2 more sources
Defining the Pre-Eruptive States of Active Volcanoes for Improving Eruption Forecasting [PDF]
Frontiers in Earth Science, 2022 A crucial feature to manage a volcanic crisis is the ability of volcanologists to promptly detect an impending eruption. This is often affected by significant uncertainty, mainly for the difficulty in interpreting the monitoring signals in terms of the ...
M. Rosi +7 more
semanticscholar +3 more sources
Eruption Forecasting of Strokkur Geyser, Iceland, Using Permutation Entropy
Journal of Geophysical Research: Solid Earth, 2022 A volcanic eruption is usually preceded by seismic precursors, but their interpretation and use for forecasting the eruption onset time remain a challenge. A part of the eruptive processes in open conduits of volcanoes may be similar to those encountered
Maria R P Sudibyo +2 more
exaly +2 more sources
Understanding and forecasting sudden explosive eruptions. [PDF]
Bull VolcanolAbstract Explosive eruptions of VEI ≤ 3 commonly occur with few warning signs. Such eruptions can be magmatic, phreatomagmatic, or phreatic in nature, and they are driven by the catastrophic release of pressurized gas. Our challenge is how to better forecast these eruptions and better understand them with existing and new tools.
Stix J, de Moor JM, Aiuppa A.
europepmc +4 more sources
Frontiers in Earth Science, 2018 Bayesian Networks (BNs) are probabilistic graphical models that provide a robust and flexible framework for understanding complex systems. Limited case studies have demonstrated the potential of BNs in modeling multiple data streams for eruption ...
Annemarie Christophersen +6 more
doaj +2 more sources