Results 41 to 50 of about 2,470 (205)

Intermittent release of transients in the slow solar wind: 2. In situ evidence [PDF]

, 2010
In paper 1, we showed that the Heliospheric Imager (HI) instruments on the pair of NASA STEREO spacecraft can be used to image the streamer belt and, in particular, the variability of the slow solar wind which originates near helmet streamers.
A. B. Galvin, A. Opitz, A. P. Rouillard, Acuña, B. Lavraud, Burlaga, Burlaga, Burlaga, C. J. Davis, Cartwight, Crooker, Crooker, Crooker, Crooker, Crooker, Davis, Feldman, Fisk, Galvin, Geiss, Geiss, Gloeckler, Gosling, Gosling, Gosling, Gosling, Gosling, Gosling, Hirshberg, Howard, J. A. Davies, J. G. Luhmann, J.-A. Sauvaud, K. D. C. Simunac, Kilpua, Klein, L. F. Burlaga, Lepping, Lockwood, Luhmann, M. Lockwood, McComas, McComas, N. P. Savani, Neugebauer, Opitz, Owens, Owens, Owens, Pagel, Pilipp, Pilipp, R. A. Harrison, R. J. Forsyth, Rees, Rouillard, Rouillard, Rouillard, Sauvaud, Schwadron, Sheeley, Smith, Snyder, van Aalst, Wang, Wang, Wang, Wang, Zurbuchen, Zurbuchen   +69 more
core   +1 more source

Coronal streamer belt asymmetries and seasonal solar wind variations deduced from Wind and Ulysses data [PDF]

Journal of Geophysical Research: Space Physics, 1997
Solar wind measurements from Wind during March 1995 are combined with those from Ulysses' fast latitude scan to construct a map of the streamer belt. On the timescale of coronal change, the map is nearly a snapshot view of solar wind speed contours threaded by the trace of the heliospheric current sheet (HCS) in the ±30° heliolatitude range.
N. U. Crooker, A. J. Lazarus, J. L. Phillips, J. T. Steinberg, A. Szabo, R. P. Lepping, E. J. Smith   +6 more
openaire   +1 more source

On the Freeze‐In Distance of Solar Wind Fluid Entropy Variability in the Corona

Journal of Geophysical Research: Space Physics, Volume 131, Issue 3, March 2026.
Abstract The strong correlation between solar wind entropy and the frozen‐in ion charge state ratio O7+/O6+ ${\mathrm{O}}^{7+}/{\mathrm{O}}^{6+}$ indicates that entropy variability on timescales of hours or longer is preserved from its solar source. This prompts the question: where in the solar atmosphere does this entropy variability come from, and at
Aidan J. Nakhleh, Nicholeen M. Viall, Susan T. Lepri, Jim M. Raines   +3 more
wiley   +1 more source

Periodic Variations in Visible Light Brightness as Tracers of Fine Coronal Structures

The Astrophysical Journal
The quiescent or dynamic nature of fine-scale raylike features in the Sun corona, observed in visible light, is still an open question. Here, we show that most of the daily and hourly periodic variations in visible light brightness of the high corona (up
Nathalia Alzate, Simone Di Matteo
doaj   +1 more source

3D Coronal Density Reconstruction and Retrieving the Magnetic Field Structure during Solar Minimum

, 2014
Measurement of the coronal magnetic field is a crucial ingredient in understanding the nature of solar coronal phenomena at all scales. We employed STEREO/COR1 data obtained during a deep minimum of solar activity in February 2008 (Carrington rotation CR
A.M. Cormack, A.M. Cormack, A.N. Tikhonov, B. van der Holst, C.J. Schrijver, C.O. Lee, D.E. Billings, D.E. Blackwell, D.E. Blackwell, E. Quémerais, E.N. Parker, G. Tóth, G.A. Gary, H. Lin, H.C. van de Hulst, J. Radon, J.-P. Wuelser, J.G. Luhmann, J.M. Davila, K.H. Schatten, L. Jiao, L.L. House, M. Kramar, M. Kramar, M. Kramar, M. Kramar, M.D. Altschuler, P. Charvin, P. Demoulin, P. Riley, P.G. Judge, R. Casini, R. Lionello, R.A. Frazin, R.A. Frazin, R.A. Frazin, R.A. Howard, S. Sahal-Brechot, S. Tomczyk, S. Zidowitz, T. Sakurai, T. Tadesse, T. Wiegelmann, T. Wiegelmann, T.G. Moran, V. Airapetian, V. Rušin, W.T. Thompson, Y.-M. Wang, Z. Mikić, Z. Mikić   +50 more
core   +1 more source

The New Geomagnetic Monitoring Network in China: Insights From the 2024 Mother's Day Superstorm

Space Weather, Volume 24, Issue 2, February 2026.
Abstract China has established a ground‐based network system, that is the Chinese Meridian Project (CMP), to continuously monitor the geomagnetic field. The superstorm in May 2024 was analyzed using the CMP data. The negative peak of the horizontal geomagnetic field (Bh) during the storm main phase at different CMP stations varied between −449 nT and ...
Jing Wang, Yue Yan, Bingxian Luo, Chunming Liu, Hui Li, Jiaojiao Zhang, Yanhong Chen, Chen Wu, Zihan Wu, Ziqian Liu, Xin Wang, Ercha Aa, Xianzhi Ao   +12 more
wiley   +1 more source

A BROKEN SOLAR TYPE II RADIO BURST INDUCED BY A CORONAL SHOCK PROPAGATING ACROSS THE STREAMER BOUNDARY [PDF]

The Astrophysical Journal, 2012
12 pages, 5 figures, accepted by ApJ ...
Kong, Xiang-Liang, Chen, Yao, Li, Gang, Feng, Shi-Wei, Song, Hong-Qiang, Guo, Fan, Jiao, Fang-Ran   +6 more
openaire   +2 more sources

The Chinese Radio Telescope Array for Interplanetary Scintillation Monitoring

Space Weather, Volume 24, Issue 1, January 2026.
Abstract Solar flares, coronal mass ejections (CMEs) and enegertic particles, etc., are the driving sources that may cause catastrophic space weathers. It is desirable to obtain information of solar eruptions like flares and CMEs, etc., propagating from the Sun to the near‐Earth space.
Yihua Yan, Wei Wang, Jin Fan, Ming Xiong, Zhijun Chen, Linjie Chen, Cang Su, Sha Li, Jun Cheng, Jing Du, Xueshang Feng   +10 more
wiley   +1 more source

Reconstructing solar wind inhomogeneous structures from stereoscopic observations in white-light: Small transients along the Sun-Earth line

, 2018
The Heliospheric Imagers (HI) on board the two spacecraft of the Solar Terrestrial Relations Observatory (STEREO) provided white-light images of transients in the solar wind from dual perspectives from 2007 to 2014. In this paper, we develop a new method
Chi, Yutian, Li, Xiaolei, Liu, Jiajia, Liu, Rui, Shen, Chenglong, Wang, Yuming, Zhang, Quanhao, Zhuang, Bin   +7 more
core   +1 more source

CNN‐Based Model for 3D CME Parameter Prediction – A Proof of Concept

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Accurate 3D reconstruction of coronal mass ejections (CMEs) is essential for understanding their propagation and improving space weather forecasts. In this study, we present a proof‐of‐concept deep learning framework that predicts seven parameters from synthetic multi‐view coronagraph images.
Harshita Gandhi, Huw Morgan, Cory Thomas
wiley   +1 more source