Results 81 to 90 of about 3,072 (224)

Dominant Trends in Jupiter's H3+ ${\mathbf{H}}_{\mathbf{3}}^{\mathbf{+}}$ Northern Aurora: II. Magnetospheric Mapping

Journal of Geophysical Research: Space Physics, Volume 130, Issue 10, October 2025.
Abstract Jupiter's auroral regions have previously been defined by broad‐scale auroral structures, but these are typically obscured by the wide array of temporal variability observed at timescales between minutes and days, making it difficult to understand the underlying magnetospheric biases driving these brightness differences.
Tom S. Stallard, Katie L. Knowles, Henrik Melin, Ruoyan Wang, Emma M. Thomas, Luke Moore, James O’Donoghue, Rosie E. Johnson, Steve Miller, John C. Coxon   +9 more
wiley   +1 more source

Current sheets in the solar corona : formation, fragmentation and heating [PDF]

, 2011
In this thesis we investigate current sheets in the solar corona. The well known 1D model for the tearing mode instability is presented, before progressing to 2D where we introduce a non-uniform resistivity.
Bowness, Ruth
core  

On the Connection between Rieger-type and Magneto-Rossby Waves Driving the Frequency of the Large Solar Eruptions during Solar Cycles 19–25

The Astrophysical Journal, 2023
Global solar activity variation mainly occurs over about an 11 yr cycle. However, both longer and shorter periodicities than the solar cycle are also present in many different solar activity indices.
Marianna B. Korsós, Mausumi Dikpati, Robertus Erdélyi, Jiajia Liu, Francesca Zuccarello   +4 more
doaj   +1 more source

Heating of the quiet solar chromosphere [PDF]

Solar Physics, 1994
We have analyzed a large number of Caii H line profiles at the sites of the bright points in the interior of the network using a 35-min-long time sequence of spectra obtained at the Vacuum Tower Telescope (VTT) of the Sacramento Peak Observatory on a quiet regon of the solar disc and studied the dynamical processes associated with these structures. Our
Kariyappa, R., Sivaraman, K.R., Anadaram, M.N.   +2 more
openaire   +2 more sources

Comparison of Solar Imaging Feature Extraction Methods in the Context of Space Weather Prediction With Deep Learning‐Based Models

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 3, September 2025.
Abstract Recently, many machine learning‐based models have been developed to predict geomagnetic activity several days in advance directly from space‐borne solar imaging. To better understand and improve these models, we compare dimensionality reduction techniques to extract abstract features from solar images for space weather‐related downstream tasks.
Maria Tahtouh, Guillerme Bernoux, Antoine Brunet, Denis Standarovski, Gautier Nguyen, Angélica Sicard   +5 more
wiley   +1 more source

Solar Wind Acceleration from the Upper Chromosphere to the Corona in Coronal Hole Regions [PDF]

, 1999
Flow speeds derived in recent years from chromospheric/transition region and coronal observations suggest that the solar wind acceleration process might start at heights in the solar atmosphere much lower than previously imagined.
Esser, Ruth
core  

The formation and stability of Petschek reconnection [PDF]

, 2014
E. R. Priest is grateful to the Leverhulme Trust. T. G. Forbes received support from NASA grant NNX-10AC04G to the University of New Hampshire. H. Baty acknowledges support by French National Research Agency (ANR) through Grant ANR-13-JS05-0003-01 ...
E. R. Priest, Priest, E.R., Baty, H., T. G. Forbes, Forbes, T.G., H. Baty   +5 more
core   +1 more source

Three-dimensional numerical experiments on granulation-generated, two-fluid waves and flows in a solar magnetic carpet

Astronomy & Astrophysics
Context. These studies were carried out in the context of solar-chromosphere heating and solar-wind generation. Aims. We aim to explore granulation-generated, two-fluid waves and flows in the solar atmosphere permeated by a solar magnetic carpet. Methods.
Niedziela R., Murawski K., Wołoszkiewicz P.   +2 more
doaj   +1 more source

Deriving the Coronal Separatrix‐Web With the WSA Model

Journal of Geophysical Research: Space Physics, Volume 130, Issue 8, August 2025.
Abstract We demonstrate a new capability of the Wang‐Sheeley‐Arge (WSA) model to routinely derive the coronal separatrix web (S‐web) as a standard data product. We describe our methodology for deriving the squashing factor (Q $Q$) and we use Carrington rotation (CR) 2109 to illustrate the validation of our output with that derived from the POT3D model.
Samantha Wallace, Aleida K. Higginson, David G. Simpson, Nicholeen M. Viall, Peter Wyper, C. Nick Arge   +5 more
wiley   +1 more source

High-resolution observations of the solar photosphere, chromosphere, and transition region [PDF]

, 2020
NASA’s Interface Region Imaging Spectrograph (IRIS) provides high-resolution observations of the solar atmosphere through ultraviolet spectroscopy and imaging.
de Pontieu, B., Scharmer, G. B., Scharmer, G., Scharmer, Göran B.,, Sainz Dalda, A., Rouppe van der Voort, L. H. M., Kleint, L., M. M. Woods, B. De Pontieu, A. Sainz Dalda, Gošić, M., Henriques, V., S. Jafarzadeh, Skogsrud, H., Dalda, A. Sainz, G. Chintzoglou, J. Martínez-Sykora, Jafarzadeh, S., A. Popovas, L. H. M. Rouppe van der Voort, M. Szydlarski, G. B. Scharmer, M. Gošić, Szydlarski, M., Graham, D., Hansteen, V. H., Scullion, Eamon, de La Cruz Rodríguez, J., C. Quintero Noda, Carlsson, M., R. Timmons, van der Voort, L. H. M. Rouppe, Kohutova, P., Pereira, T., Hansteen, V., S. Bose, L. Kleint, G. J. M. Vissers, Noda, C. Quintero, Woods, M. M., J. de la Cruz Rodríguez, Zacharias, P., Vissers, G. J. M., Chintzoglou, G., D. Nóbrega-Siverio, V. H. Hansteen, Vissers, G., Schmit, D., Pereira, T. M. D., de la Cruz Rodríguez, Jaime,, M. Carlsson, V. M. J. Henriques, Rouppe van Der Voort, L., Scullion, E., T. Leifsen, Drews, A., D. R. Graham, Nóbrega-Siverio, D., A. Drews, P. Kohutova, A. Ortiz, Martínez-Sykora, J., E. Scullion, Quintero Noda, C., H. Skogsrud, J. Joshi, P. Zacharias, Leifsen, T., D. Schmit, Henriques, V. M. J., Froment, C., Bose, S., Joshi, J., Ortiz, A., Vissers, Gregal J. M.,, T. M. D. Pereira, Timmons, R., C. Froment, Popovas, A., Woods, M., Graham, D. R.   +80 more
core   +1 more source