  An accurate description of turbulence up to the transport time scale is
essential for predicting core plasma profiles and enabling reliable
calculations for designing advanced scenarios and future devices. Here, we
exploit the gap separation between turbulence and transport time scales and
couple the global gyrokinetic code GENE to the transport-solver Tango,
including kinetic electrons, collisions, realistic geometries, toroidal
rotation and electromagnetic effects for the first time. This approach
overcomes gyrokinetic codes' limitations and enables high-fidelity profile
calculations in experimentally relevant plasma conditions, significantly
reducing the computational cost.
  We present numerical results of GENE-Tango for two ASDEX Upgrade discharges,
one of which exhibits a pronounced peaking of the ion temperature profile not
reproduced by TGLF-ASTRA. We show that GENE-Tango can correctly capture the ion
temperature peaking observed in the experiment. By retaining different physical
effects in the GENE simulations, e.g., collisions, toroidal rotation and
electromagnetic effects, we demonstrate that the ion temperature profile's
peaking is due to electromagnetic effects of submarginal MHD instability. Based
on these results, the expected GENE-Tango speedup for the ITER standard
scenario is larger than two orders of magnitude compared to a single
gyrokinetic simulation up to the transport time scale, possibly making
first-principles ITER simulations feasible on current computing resources.
