2015
DOI: 10.1088/0029-5515/55/6/063028
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Gyrokinetic study of ASDEX Upgrade inter-ELM pedestal profile evolution

Abstract: The gyrokinetic GENE code is used to study inter-ELM H-mode pedestal profile evolution for an ASDEX Upgrade discharge. Density gradient driven trapped electron modes (TEM) are the dominant pedestal instability during the early density-buildup phase. Nonlinear simulations produce particle transport levels consistent with experimental expectations. Later inter-ELM phases appear to be simultaneously constrained by electron temperature gradient (ETG) and kinetic ballooning mode (KBM) turbulence. The electron tempe… Show more

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Cited by 58 publications
(94 citation statements)
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References 71 publications
(121 reference statements)
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“…ETG simulations are sensitive to not only temperature and density gradients, but also the temperature ratio and Z ef f , all of which are taken directly from the best available experimental estimates. In agreement with earlier work [55,56,50,15], the pedestal ETG turbulence described here is slab-like and isotropic, in contrast with the streamer-dominated core ETG turbulence. Consistent with the large difference in pedestal η e , JET-ILW (92432) produces order of magnitude larger gyroBohm-normalized ETG heat fluxes than JET-C (78697), as shown in Fig.…”
Section: Etg Turbulence: Comparison Of Jet-ilw and Jet-csupporting
confidence: 92%
“…ETG simulations are sensitive to not only temperature and density gradients, but also the temperature ratio and Z ef f , all of which are taken directly from the best available experimental estimates. In agreement with earlier work [55,56,50,15], the pedestal ETG turbulence described here is slab-like and isotropic, in contrast with the streamer-dominated core ETG turbulence. Consistent with the large difference in pedestal η e , JET-ILW (92432) produces order of magnitude larger gyroBohm-normalized ETG heat fluxes than JET-C (78697), as shown in Fig.…”
Section: Etg Turbulence: Comparison Of Jet-ilw and Jet-csupporting
confidence: 92%
“…Plasma turbulence often retains signatures of the underlying linear eigenmodes in a strongly turbulent state, as found both in theory and simulation [1][2][3][4][5][6] as well as observations [7][8][9][10][11]. When this is the case, one can predict important features of the turbulence using only the much more-accessible linear information (a notable example is the various quasilinear techniques that have been quite successful in modeling turbulent transport [12][13][14][15][16]).…”
Section: Introductionmentioning
confidence: 86%
“…Experimentally, fluctuations have been diagnosed that are consistent with MTM [22,23,25], KBM [22,[24][25][26], and trapped electron modes (TEM) [22], while linear gyrokinetic modeling has identified MTM [19,[27][28][29][30], TEM [30,31], ETG [29,30,32,33], KBM [19,26,27,29,30,34,35], and unidentified drift waves [36]. Due to the large number of possible instabilities, and the complexity of the nonlinear turbulent state (that reflects the underlying instabilities in not so obvious ways), no clear picture has emerged regarding the relative importance of these modes for pedestal transport.…”
Section: Pacs Numbersmentioning
confidence: 92%