Solar cycle changes in coronal holes and space weather cycles

Luhmann, J. G.; Li, Y.; Arge, C. N.; Gazis, P. R.; Ulrich, R. K.

doi:10.1029/2001ja007550

Cited by 139 publications

(120 citation statements)

References 44 publications

(66 reference statements)

Supporting

Mentioning

114

Contrasting

Order By: Relevance

“…The second kind, which should provide an extended view of what to expect over time in terms of coronal hole characteristic parameters (percentage of corona covered, hole categories, latitudinal/longitudinal distribution, time evolution, periodicities, relationship with other solar activity phenomena, macro and micro-effects in the solar system, etc.) are still not completely ready (Bohlin and Sheeley 1978; Navarro-Peralta and Sanchez-Ibarra 1994; Wang et al 1996;Bravo et al 1998b;Ikhsanov and Ivanov 1999;Obridko and Shelting 1999;Luhmann et al 2002).…”

Section: Coronal Holesmentioning

confidence: 99%

Solar Weather Event Modelling and Prediction

et al. 2009

View full text Add to dashboard Cite

Key drivers of solar weather and mid-term solar weather are reviewed by considering a selection of relevant physics-and statistics-based scientific models as well as a selection of related prediction models, in order to provide an updated operational scenario for space weather applications. The characteristics and outcomes of the considered scientific and prediction models indicate that they only partially cope with the complex nature of solar activity for the lack of a detailed knowledge of the underlying physics. This is indicated by the fact that, on one hand, scientific models based on chaos theory and non-linear dynamics reproduce better the observed features, and, on the other hand, that prediction models based on statistics and artificial neural networks perform better. To date, the solar weather prediction success at most time and spatial scales is far from being satisfactory, but the forthcoming ground-and space-based high-resolution observations can add fundamental tiles to the modelling and predicting frameworks as well as the application of advanced mathematical approaches in the analysis of diachronic solar observations, that are a must to provide comprehensive and homogeneous data sets.

show abstract

Section: Coronal Holesmentioning

confidence: 99%

Solar Weather Event Modelling and Prediction

et al. 2009

View full text Add to dashboard Cite

show abstract

“…Detailed descriptions of the different IMPACT sensors can be found in companion papers by Mewaldt et al (this volume, 2007), MuellerMellin et al (this volume, 2007), von Rosenvinge et al (this volume, 2007), Mason et al (this volume, 2007), Acuna et al (this volume, 2007), Sauvaud et al (this volume, 2007), and Lin et al (this volume, 2007), and the novel boom design is described by Ullrich et al (this volume, 2007). A previous brief summary of the complete IMPACT investigation can be found in Luhmann et al (2005). In this paper we provide more details about the overall makeup and science goals of IMPACT including its data plans and products.…”

Section: Introduction To the Impact Investigationmentioning

confidence: 99%

STEREO IMPACT Investigation Goals, Measurements, and Data Products Overview

et al. 2007

Self Cite

View full text Add to dashboard Cite

The IMPACT (In situ Measurements of Particles And CME Transients) investigation on the STEREO mission was designed and developed to provide multipoint solar wind and suprathermal electron, interplanetary magnetic field, and solar energetic particle information required to unravel the nature of coronal mass ejections and their heliospheric consequences. IMPACT consists of seven individual sensors which are packaged into a boom suite, and a SEP suite. This review summarizes the science objectives of IMPACT, the instruments that comprise the IMPACT investigation, the accommodation of IMPACT on the STEREO twin spacecraft, and the overall data products that will flow from the IMPACT measurements. Accompanying papers in this volume of Space Science Reviews highlight the individual sensor technical details and capabilities, STEREO project plans for the use of IMPACT data, and modeling activities for IMPACT (and other STEREO) data interpretation.

show abstract

“…The atmospheric magnetic field's geometry is deduced using potential field extrapolation techniques. The coronal and heliospheric hydromagnetic conditions are then deduced either by using a set of semi-empirical relations (Arge & Pizzo 2000;Luhmann et al 2002;Wang & Sheeley 1992;Schrijver & DeRosa 2003), or by finding stable MHD solutions for the mapped fields (e.g., Usmanov 1993;Hu et al 2008). The usage of magnetogram data as lower boundary conditions encounters a few difficulties.…”

Section: Introductionmentioning

confidence: 99%

Coupling the Solar Dynamo and the Corona: Wind Properties, Mass, and Momentum Losses During an Activity Cycle

Pinto

Brun

Jouve

et al. 2011

ApJ

113

View full text Add to dashboard Cite

We study the connections between the Sun's convection zone and the evolution of the solar wind and corona. We let the magnetic fields generated by a 2.5-dimensional (2.5D) axisymmetric kinematic dynamo code (STELEM) evolve in a 2.5D axisymmetric coronal isothermal magnetohydrodynamic code (DIP). The computations cover an 11 year activity cycle. The solar wind's asymptotic velocity varies in latitude and in time in good agreement with the available observations. The magnetic polarity reversal happens at different paces at different coronal heights. Overall the Sun's mass-loss rate, momentum flux, and magnetic braking torque vary considerably throughout the cycle. This cyclic modulation is determined by the latitudinal distribution of the sources of open flux and solar wind and the geometry of the Alfvén surface. Wind sources and braking torque application zones also vary accordingly.

show abstract

Solar cycle changes in coronal holes and space weather cycles

Cited by 139 publications

References 44 publications

Solar Weather Event Modelling and Prediction

Solar Weather Event Modelling and Prediction

STEREO IMPACT Investigation Goals, Measurements, and Data Products Overview

Coupling the Solar Dynamo and the Corona: Wind Properties, Mass, and Momentum Losses During an Activity Cycle

Contact Info

Product

Resources

About