  In-situ measurements of the solar wind, a turbulent and anisotropic plasma
flow originating at the Sun, are mostly carried out by single spacecraft,
resulting in one-dimensional time series. The conversion of these measurements
to the spatial frame of the plasma is a great challenge, but required for
direct comparison of the measurements with MHD turbulence theories. Here we
present a toolkit, based on the synthetic modeling of solar wind fluctuations
as two-dimensional noise maps with adjustable spectral and power anisotropy,
that can help with the temporal-spatial conversion of real data. Specifically,
by following the spacecraft trajectory through a noise map (relative velocity
and angle relative to some mean magnetic field) with properties tuned to mimic
those of the solar wind, the likelihood that the temporal data fluctuations
represent parallel or perpendicular fluctuations in the plasma frame can be
quantified by correlating structure functions of the noise map. Synthetic
temporal data can also be generated, which can provide a testing ground for
analysis applied to the solar wind data. We demonstrate this tool by
investigating Parker Solar Probe's E7 trajectory and data, and showcase several
possible ways in which it can be used. We find that whether temporal variations
in the spacecraft frame come from parallel or perpendicular variations in the
plasma frame strongly depends on the spectral and power anisotropy of the
measured wind. Data analysis assisted by such underlying synthetic models as
presented here could open up new ways to interpret measurements in the future,
specifically in the more reliable determination of plasma frame quantities from
temporal measurements.
