The E\ {\texttimes}\ B shear stabilization of anomalous transport in JET hybrid discharges is studied via self-consistent predictive modelling of electron and ion temperature, ion density and toroidal rotation velocity performed with the GLF23 model. The E\ {\texttimes}\ B shear stabilization factor (parameter α E in the GLF23 model) is adjusted to predict accurately the four simulated quantities under different experimental conditions, and the uncertainty in α E determined by 15\% deviation between simulated and measured quantities is estimated. A correlation of α E with toroidal rotation velocity and E\ {\texttimes}\ B shearing rate is found in the low density plasmas, suggesting that the turbulence quench rule may be more complicated than assumed in the GLF23 model with constant α E . For the selected discharges the best predictive accuracy is obtained by using weak/no E\ {\texttimes}\ B shear stabilization (i.e. α E\ ≈\ 0) at low toroidal angular frequency (Ω\ \<\ 60\ krad\ s -1 ), even in the scenarios with the current overshoot, and α E\ =\ 0.9 at high frequency (Ω\ \>\ 100\ krad\ s -1 ). Interestingly, a weak E\ {\texttimes}\ B shear stabilization of anomalous transport is found in the medium density strongly rotating discharge. An importance of linear β e stabilization in this discharge is estimated and compared to the low density discharge with equally high β e . The toroidal rotation velocity is well predicted here by assuming that the momentum diffusion coefficient is a fraction of thermal ion diffusivity. Taking into account the α E and Prandtl number with their uncertainties determined in the modelling of JET hybrid discharges, the performance of ITER hybrid scenario with optimized heat mix (33\ MW of NBI and 20\ MW of ECCD) is estimated showing the importance of toroidal rotation for achieving Q \ \>\ 5.

}, keywords = {E x B shear stabilization, hybrid scenario, transport modelling}, doi = {10.1088/0029-5515/54/9/093006}, url = {http://www.iop.org/Jet/article?EFDP13041\&EFDP13048}, author = {Voitsekhovitch, I. and da Silva Aresta Belo, P. and Citrin, J. and Fable, E. and Ferreira, J. and J. Garcia and Garzotti, L. and Hobirk, J. and Hogeweij, G. M. D. and Joffrin, E. and Kochl, F. and X. Litaudon and Moradi, S. and Nabais, F. and JET-EFDA Contributors and EU-ITM ITER Scenario Modelling group} }