Predictions for Near Sun Turbulent Spectra from Synthetic Time Series

The unprecedented observations of the near Sun environmentthat will soon be afforded by the launch of Solar Probe Plus and Solar Orbiter will help discern the underlying nature of the acceleration of the solar wind and the heating of thecorona.Preliminary theoretical predictions for the signatures of the possible mechanisms driving these phenomena are necessaryto interpret measurements from these missions.In this work, we construct such predictions for the turbulent magnetic and velocity spectrausing synthetic time series constructed from a spectrum of linear eigenmodes, a technique previouslyvalidated for studying the solar wind near 1 AU.This technique has been extended to include mechanismsunique to the near Sun environment, including theviolation of the Taylor Hypothesis, the rapidly varyingtransverse and radial velocities, and the inbalancedflux of Alfvenic fluctuations, all of which will makeinterpretations of in situ observations more difficult.The synthetic time series spectra are also compared to results from nonlinear turbulence simulations relevant tothe near Sun environment as a means of validating and establishingthe limitations of the synthetic time series approach.