Results 21 to 30 of about 908,181 (301)

Short-Term Forecasting and Detection of Explosions During the 2016–2017 Eruption of Bogoslof Volcano, Alaska

open access: yesFrontiers in Earth Science, 2018
We describe a multidisciplinary approach to forecast, rapidly detect, and characterize explosive events during the 2016–2017 eruption of Bogoslof volcano, a back-arc shallow submarine volcano in Alaska’s Aleutian arc.
Michelle L. Coombs   +10 more
doaj   +2 more sources

Mitigation of human cognitive bias in volcanic eruption forecasting

open access: yesJournal of Applied Volcanology
Modern operational eruption forecasting methods rely heavily on human judgment in the face of uncertainty and are thus susceptible to myriad cognitive biases and errors by the scientist-forecasters.
Heather M. N. Wright   +2 more
doaj   +2 more sources

Assimilation of Deformation Data for Eruption Forecasting: Potentiality Assessment Based on Synthetic Cases

open access: yesFrontiers in Earth Science, 2017
In monitoring active volcanoes, the magma overpressure is one of the key parameters used in forecasting volcanic eruptions. This parameter can be inferred from the ground displacements measured on the Earth's surface by applying inversion techniques ...
M. Grace Bato   +2 more
doaj   +2 more sources

Probabilistic eruption forecasting and the call for an evacuation [PDF]

open access: yesGeophysical Research Letters, 2007
One of the most critical practical actions to reduce volcanic risk is the evacuation of people from threatened areas during volcanic unrest. Despite its importance, this decision is usually arrived at subjectively by a few individuals, with little quantitative decision support.
Warner Marzocchi, Gordon Woo
exaly   +4 more sources

Understanding Fast and Slow Unrest at Volcanoes and Implications for Eruption Forecasting

open access: yesFrontiers in Earth Science, 2018
This paper examines the behaviour of fast volcanoes that erupt quickly with paroxysmal explosive eruptions, and slow volcanoes that erupt over extended periods without such paroxysmal activity.
J. Stix
semanticscholar   +2 more sources

From rest to eruption: How we should anticipate volcanic eruptions

open access: yesnpj Natural Hazards
Volcanic eruptions are typically preceded by unrest, marked by increased seismicity, ground deformation, and gas emissions. Unrest can last from decades to minutes.
J. Martí
doaj   +2 more sources

The flare likelihood and region eruption forecasting (FLARECAST) project: flare forecasting in the big data & machine learning era [PDF]

open access: yesJournal of Space Weather and Space Climate, 2021
The European Union funded the FLARECAST project, that ran from January 2015 until February 2018. FLARECAST had a research-to-operations (R2O) focus, and accordingly introduced several innovations into the discipline of solar flare forecasting.
M. Georgoulis   +27 more
semanticscholar   +1 more source

Forecasting volcanic eruptions [PDF]

open access: yesEarth and Planetary Science Letters, 2003
Forecasting is a central goal of volcanology. Intensive monitoring of recent eruptions has generated integrated time-series of data, which have resulted in several successful examples of warnings being issued on impending eruptions. Ability to forecast is being advanced by new technology, such as broad-band seismology, satellite observations of ground ...
  +4 more sources

Forecasting an eruption [PDF]

open access: yesNature Geoscience, 2008
Florent Brenguier, Valerie Ferrazzini and their colleagues braved tropical cyclones and crater collapses while recording continuous seismological data on the Piton de la Foumaise volcano.
Brenguier, F., Ferrazzini, V.
openaire   +4 more sources

A physics-based source model for real-time tephra-dispersal forecasting for weak eruption plumes

open access: yesJournal of Applied Volcanology, 2022
A physics-based model to estimate source conditions for a tephra-dispersal model is developed. The source condition is generally expressed by a distribution of released particles along an eruption plume (referred to as “source magnitude distribution” SMD)
Kensuke Ishii   +3 more
doaj   +1 more source

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