Results 61 to 70 of about 53,020 (220)
Advancing Heliophysics and Space Weather Modeling Through Open Science
Abstract We present a community‐wide effort to develop a strategy and action plan to advance heliophysics and space weather modeling through open science. While open science has the potential to enhance the quality and pace of scientific discovery, its application to scientific modeling requires more careful consideration regarding open data and open ...
C. Corti +87 more
wiley +1 more source
Flares originate from the impulsive release of magnetic energy in the solar atmosphere. The rise in X‐ray flux enhances ionization/electron content in the upper atmosphere, modifying the photochemical and dynamical processes that govern the ionosphere ...
Komal, Duggirala Pallamraju
doaj +1 more source
Jupiter's Auroral Ionosphere: Hybrid Monte Carlo, Auroral Spectrum and Conductivity Modeling
Abstract We present a new model of auroral precipitation and associated phenomena at Jupiter, called the Jupiter Auroral Ionosphere Code (JAIC). The hybrid model follows the primary electron population using a Monte Carlo code that runs on a GPU, and computes the contribution of the secondaries using a two‐stream approximation.
J. D. Nichols
wiley +1 more source
Accelerated gradient methods for the x-ray imaging of solar flares [PDF]
In this paper we present new optimization strategies for the reconstruction of X-ray images of solar flares by means of the data collected by the Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI). The imaging concept of the satellite is based of rotating modulation collimator instruments, which allow the use of both Fourier imaging ...
BONETTINI, Silvia, PRATO, Marco
openaire +4 more sources
The standard flare model, despite its success, is limited in comprehensively explaining the various processes involving nonthermal particles. One such missing ingredient is a detailed understanding of the various processes involved during the transport ...
Surajit Mondal +3 more
doaj +1 more source
Solar Energetic Particle Forecasting With Multi‐Task Deep Learning: SEPNET
Abstract Solar energetic particle (SEP) events pose severe threats to spacecraft, astronaut safety, and aviation operations. Accurate SEP forecasting remains a critical challenge in space weather research as a result of their complex origins and highly variable propagation.
Yian Yu +5 more
wiley +1 more source
Solar Energetic Particle Prediction in the Inner Heliosphere Using Deep Learning and PSP/IS⊙IS Data
Abstract Solar events, such as coronal mass ejections and solar flares, accelerate large numbers of energetic charged particles, producing solar energetic particle (SEP) events that can harm astronauts, damage satellites, and potentially damage infrastructure on Earth.
Tate Hutchins +12 more
wiley +1 more source
Despite a wealth of multiwavelength, spatially resolved, time-domain solar activity data, an accurate and complete temporospatial solar flare census is unavailable, which impedes our understanding of the physics of flare production.
Jorge R. Padial Doble +1 more
doaj +1 more source
Using solar ultraviolet irradiance measurements from GOES/EXIS to nowcast flare X-ray properties
Context. X-rays emitted by solar flares change the properties of the Earth’s ionosphere and can damage to technological systems. Space weather forecasters monitor the X-ray irradiance from the Sun and issue warnings to mitigate these potentially harmful ...
Mthethwa Abigail, Snow Martin
doaj +1 more source
Regional and Seasonal Effects of Geomagnetic Storms on Terrestrial Weather
Abstract It has long been a mystery why small Total Solar Irradiation changes have significant effects on Earth's climate. Solar cycle correlation studies abound but cannot conclusively point to a viable physical mechanism. Here, I show that geomagnetic storms have a profound terrestrial weather impact.
J. Raeder
wiley +1 more source

