Results 31 to 40 of about 1,142 (253)

Towards Improved Forecasting of Volcanic Eruptions [PDF]

, 2020
info:eu-repo/semantics ...
Caudron, Corentin, Chardot, Lauriane, Girona, Társilo, Aoki, Yosuke, Fournier, Nicolas   +4 more
openaire   +2 more sources

Mount St. Helens Retrospective: Lessons Learned Since 1980 and Remaining Challenges

Frontiers in Earth Science, 2018
Since awakening from a 123-year repose in 1980, Mount St. Helens has provided an opportunity to study changes in crustal magma storage at an active arc volcano—a process of fundamental importance to eruption forecasting and hazards mitigation.
Daniel Dzurisin
doaj   +1 more source

Eruption forecast for Krafla Caldera

Eos, Transactions American Geophysical Union, 1982
Since December 1975, Krafla, a volcano in northern Iceland, has been the site of repeated earthquakes, fissuring, and occasional eruptions (see cover figure). Intense monitoring of activity at Krafla has led to the recognition of a repetitive pattern of months‐long inflation in the caldera area, followed by sudden deflation.
Charles A. Wood, James L. Whitford‐Stark   +1 more
openaire   +1 more source

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

Frontiers 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, Aaron G. Wech, Matthew M. Haney, John J. Lyons, David J. Schneider, Hans F. Schwaiger, Kristi L. Wallace, David Fee, Jeff T. Freymueller, Janet R. Schaefer, Gabrielle Tepp   +10 more
doaj   +1 more source

Thermal Remote Sensing for Global Volcano Monitoring: Experiences From the MIROVA System

Frontiers in Earth Science, 2020
Volcanic activity is always accompanied by the transfer of heat from the Earth’s crust to the atmosphere. This heat can be measured from space and its measurement is a very useful tool for detecting volcanic activity on a global scale.
Diego Coppola, Diego Coppola, Marco Laiolo, Marco Laiolo, Corrado Cigolini, Corrado Cigolini, Francesco Massimetti, Dario Delle Donne, Maurizio Ripepe, Hidran Arias, Sara Barsotti, Claudia Bucarey Parra, Riky Gustavo Centeno, Sandrine Cevuard, Gustavo Chigna, Carla Chun, Esline Garaebiti, Dulce Gonzales, Julie Griswold, Javier Juarez, Luis E. Lara, Cristian Mauricio López, Orlando Macedo, Celestin Mahinda, Sarah Ogburn, Oktory Prambada, Patricio Ramon, Domingo Ramos, Aline Peltier, Aline Peltier, Steve Saunders, Elske de Zeeuw-van Dalfsen, Nick Varley, Ricardo William   +33 more
doaj   +1 more source

Accurate hindcasting of explosive eruptions at Whakaari, New Zealand

Volcanica
Phreatic eruptions are small, sudden events, commonly with few precursory signals. They are driven by interactions between magmatic and hydrothermal processes at shallow levels beneath the surface.
John Stix, Craig Miller, Yajing Liu
doaj   +1 more source

Eruptive Styles Recognition Using High Temporal Resolution Geostationary Infrared Satellite Data

Remote Sensing, 2019
The high temporal resolution of the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) instrument aboard Meteosat Second Generation (MSG) provides the opportunity to investigate eruptive processes and discriminate different styles of volcanic ...
Valerio Lombardo, Stefano Corradini, Massimo Musacchio, Malvina Silvestri, Jacopo Taddeucci   +4 more
doaj   +1 more source

Forecasting volcano eruption activity

, 2022
Volcanic activity monitoring typically are based on gas emissions, seismic activity, thermal anomalies, deformation and surface change. These events can be extracted by globally tracked observation data that span the electromagnetic spectrum. Orbital earth observation is generated by sensors focusing on different wavelength.
openaire   +1 more source

Mitigation of human cognitive bias in volcanic eruption forecasting

Journal 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, Jeremy D. Pesicek, Stephen A. Spiller   +2 more
doaj   +1 more source

An Integrated Framework Coupling Hierarchical Hyperspectral i‐trait Screening, Gene Identification, and Functional Validation for Genetic Dissection of Salt Tolerance in Cotton

Advanced Science, EarlyView.
An integrated phenomics–genomics framework captures dynamic salt‐stress responses in laboratory‐grown cotton seedlings through time‐series hyperspectral imaging and non‐destructive i‐trait extraction. Hierarchical screening identifies biologically relevant, heritable, and non‐redundant traits for high‐resolution GWAS, identifying GhST7.
Bowei Xu, Le Liu, Mengli Yu, Yuling Guo, Junli Ye, Jun Zhang, Rumeng Zhao, Jiajie Yang, Wanneng Yang, Yameng Xu, Liqiang Fan, Zuoren Yang   +11 more
wiley   +1 more source