VisAn MHD: a toolbox in Matlab for MHD computer model data visualisation and analysis

Daum, Patrick

doi:10.5194/angeo-25-779-2007

Cited by 3 publications

(3 citation statements)

References 13 publications

(15 reference statements)

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“…The correlation of the models and the measurements was undertaken by using VisAn MHD (http://www.visan.net.ms) [ Daum , 2007] which allowed a direct analysis and visualization of the correlations. VisAn MHD is a Matlab toolbox developed at Lancaster University, it is designed to provide users with an easy to use analysis and visualization tool for the various numerical models available to the community.…”

Section: Modelsmentioning

confidence: 99%

Global MHD simulation of flux transfer events at the high‐latitude magnetopause observed by the Cluster spacecraft and the SuperDARN radar system

et al. 2008

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[1] A global magnetohydrodynamic numerical simulation is used to study the large-scale structure and formation location of flux transfer events (FTEs) in synergy with in situ spacecraft and ground-based observations. During the main period of interest on the 14 February 2001 from 0930 to 1100 UT the Cluster spacecraft were approaching the Northern Hemisphere high-latitude magnetopause in the postnoon sector on an outbound trajectory. Throughout this period the magnetic field, electron, and ion sensors on board Cluster observed characteristic signatures of FTEs. A few minutes delayed to these observations the Super Dual Auroral Radar Network (SuperDARN) system indicated flow disturbances in the conjugate ionospheres. These ''two-point'' observations on the ground and in space were closely correlated and were caused by ongoing unsteady reconnection in the vicinity of the spacecraft. The three-dimensional structures and dynamics of the observed FTEs and the associated reconnection sites are studied by using the BlockAdaptive-Tree-Solarwind-Roe-Upwind-Scheme (BATS-R-US) MHD code in combination with a simple open flux tube motion model (Cooling). Using these two models the spatial and temporal evolution of the FTEs is estimated. The models fill the gaps left by measurements and allow a ''point-to-point'' mapping between the instruments in order to investigate the global structure of the phenomenon. The modeled results presented are in good correlation with previous theoretical and observational studies addressing individual features of FTEs.

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Section: Modelsmentioning

confidence: 99%

Global MHD simulation of flux transfer events at the high‐latitude magnetopause observed by the Cluster spacecraft and the SuperDARN radar system

et al. 2008

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“…All model runs were executed with the finest resolution of 0.25 R E (∼1600 km) in the near-tail and dayside magnetopause region (<15 R E radial distance) and a 0.5 R E (∼3200 km) resolution in the far-tail region (starting from ∼45 R E ). The adaptive nonuniform numerical simulation grid was then interpolated on an uniform equidistal cartesian grid with different resolutions 0.5/1.0 R E (using the VisAn MHD toolbox; Daum, 2007) inside a bounding box of ±21 R E . Since the CCMC is running the SWMF version 2.1 and the Lancaster HPC is running version 2.3 with a different CPU layout an initial test of the simulation results was performed by comparing the two runs.…”

Section: Mhd Model (Coupled Modules Gm/im/ie)mentioning

confidence: 99%

A general Cluster data and global MHD simulation comparison

et al. 2008

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Abstract. Among the many challenges facing the space weather modelling community today, is the need for validation and verification methods of the numerical models available describing the complex nonlinear Sun-Earth system. Magnetohydrodynamic (MHD) models represent the latest numerical models of this environment and have the unique ability to span the enormous distances present in the magnetosphere, from several hundred kilometres to several thousand kilometres above the Earth's surface. This makes it especially difficult to develop verification and validation methods which posses the same range spans as the models. In this paper we present a first general large-scale comparison between four years (2001)(2002)(2003)(2004) worth of in situ Cluster plasma observations and the corresponding simulated predictions from the coupled Block-Adaptive-Tree-SolarwindRoe-Upwind-Scheme (BATS-R-US) MHD code. The comparison between the in situ measurements and the model predictions reveals that by systematically constraining the MHD model inflow boundary conditions a good correlation between the in situ observations and the modeled data can be found. These results have an implication for modelling studies addressing also smaller scale features of the magnetosphere. The global MHD simulation can therefore be used to place localised satellite and/or ground-based observations into a global context and fill the gaps left by measurements.

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“…There is a need to visualize the MHD simulation data, for examples, Daum [7] developed a toolbox called VisAn MHD in MATLAB for MHD simulation data visualization and analysis. With the help of GPUs, Stantchev et al [48] used GPUs for computation and visualization of plasma turbulence.…”

Section: Visualization Of the Simulation Resultsmentioning

confidence: 99%

Efficient magnetohydrodynamic simulations on graphics processing units with CUDA

Wong¹,

Wong²,

Feng³

et al. 2011

Computer Physics Communications

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Magnetohydrodynamic (MHD) simulations based on the ideal MHD equations have become a powerful tool for modeling phenomena in a wide range of applications including laboratory, astrophysical, and space plasmas. In general, high-resolution methods for solving the ideal MHD equations are computationally expensive and Beowulf clusters or even supercomputers are often used to run the codes that implemented these methods. With the advent of the Compute Unified Device Architecture (CUDA), modern graphics processing units (GPUs) provide an alternative approach to parallel computing for scientific simulations. In this paper we present, to the author's knowledge, the first implementation of MHD simulations entirely on GPUs with CUDA, named GPU-MHD, to accelerate the simulation process. GPU-MHD supports both single and double precision computation. A series of numerical tests have been performed to validate the correctness of our code. Accuracy evaluation by comparing single and double precision computation results is also given. Performance measurements of both single and double precision are conducted on both the NVIDIA GeForce GTX 295 (GT200 architecture) and GTX 480 (Fermi architecture) graphics cards. These measurements show that our GPU-based implementation achieves between one and two orders of magnitude depending on the used graphics card, problem size, and precision when comparing to the original serial CPU MHD implementation. In addition, we extend GPU-MHD to support the visualization of the simulation results and thus the whole MHD simulation and visualization process can be performed entirely on GPUs.

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VisAn MHD: a toolbox in Matlab for MHD computer model data visualisation and analysis

Cited by 3 publications

References 13 publications

Global MHD simulation of flux transfer events at the high‐latitude magnetopause observed by the Cluster spacecraft and the SuperDARN radar system

Global MHD simulation of flux transfer events at the high‐latitude magnetopause observed by the Cluster spacecraft and the SuperDARN radar system

A general Cluster data and global MHD simulation comparison

Efficient magnetohydrodynamic simulations on graphics processing units with CUDA

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