Space Weather, 2021 In our previous study (Moon et al., 2020, https://doi.org/10.3938/jkps.77.1265), we developed a long short‐term memory (LSTM) deep‐learning model for geomagnetic quiet days (LSTM‐quiet) to perform effective long‐term predictions for the regional ...
Jeong‐Heon Kim +5 more
doaj +2 more sources
The First Intense Geomagnetic Storm Event Recorded by the China Seismo‐Electromagnetic Satellite
Space Weather, 2020 On 25 August 2018, the China Seismo‐Electromagnetic Satellite (CSES) encountered the first intense geomagnetic storm event since its launch on 2 February 2018.
Y.‐Y. Yang +9 more
doaj +2 more sources
Journal of Geophysical Research: Space Physics, 1994 After a brief review of magnetospheric and interplanetary phenomena for intervals with enhanced solar wind‐magnetosphere interaction, an attempt is made to define a geomagnetic storm as an interval of time when a sufficiently intense and long‐lasting interplanetary convection electric field leads, through a substantial energization in the magnetosphere‐
Gonzalez, W. +6 more
openaire +4 more sources
Super-Intense Geomagnetic Storm on 10-11 May 2024: Possible Mechanisms and Impacts. [PDF]
Space WeatherOne of the most intense geomagnetic storms of recent times occurred on 10–11 May 2024. With a peak negative excursion of Sym‐H below −500 nT, this storm is the second largest of the space era.
Tulasi Ram S +12 more
europepmc +2 more sources
SAMI3‐RCM simulation of the 17 March 2015 geomagnetic storm [PDF]
, 2016 J. D. Huba, S. Sazykin, A. J. Coster
openalex +2 more sources
Radiometric Constraints on the Timing, Tempo, and Effects of Large Igneous Province Emplacement
Geophysical Monograph Series, Page 27-82., 2021 Exploring the links between Large Igneous Provinces and dramatic environmental impact
An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Jennifer Kasbohm +2 more
wiley +1 more source
Space Weather, 2023 In recent years, deep learning has been extensively used for ionospheric total electron content (TEC) prediction, and many models can yield promising prediction results, particularly under quiet conditions.
X. Ren +5 more
semanticscholar +1 more source
Ionospheric Disturbances and Irregularities During the 25–26 August 2018 Geomagnetic Storm
Journal of Geophysical Research: Space Physics, 2021 We use ground‐based (GNSS, SuperDARN, and ionosondes) and space‐borne (Swarm, CSES, and DMSP) instruments to study ionospheric disturbances due to the 25–26 August 2018 geomagnetic storm.
E. Astafyeva +7 more
semanticscholar +1 more source
Space Weather, 2021 This study investigates the solar origins of August 26, 2018 geomagnetic storm and the responses of the interplanetary medium and equatorial/low‐latitude ionosphere to it. We used a multiinstrument approach, with observations right from the solar surface
A. Akala +5 more
semanticscholar +1 more source
Geomagnetic Storm Occurrence and Their Relation With Solar Cycle Phases
, 2021 Using a time series of geomagnetic storm events between 1957 and 2019, obtained by selecting storms where Dst< −50 nT, we have analyzed the probability of occurrence of moderate, intense, and severe events.
Paula Reyes, V. Pinto, P. Moya
semanticscholar +1 more source