  Forecasting models of the solar wind often rely on simple parameterizations
of the magnetic field that ignore the effects of the full magnetic field
geometry. In this paper, we present the results of two solar wind prediction
models that consider the full magnetic field profile and include the effects of
Alfv\'en waves on coronal heating and wind acceleration. The one-dimensional
MHD code ZEPHYR self-consistently finds solar wind solutions without the need
for empirical heating functions. Another 1D code, introduced in this paper (The
Efficient Modified-Parker-Equation-Solving Tool, TEMPEST), can act as a
smaller, stand-alone code for use in forecasting pipelines. TEMPEST is written
in Python and will become a publicly available library of functions that is
easy to adapt and expand. We discuss important relations between the magnetic
field profile and properties of the solar wind that can be used to
independently validate prediction models. ZEPHYR provides the foundation and
calibration for TEMPEST, and ultimately we will use these models to predict
observations and explain space weather created by the bulk solar wind. We are
able to reproduce with both models the general anticorrelation seen in
comparisons of observed wind speed at 1 AU and the flux tube expansion factor.
There is significantly less spread than comparing the results of the two models
than between ZEPHYR and a traditional flux tube expansion relation. We suggest
that the new code, TEMPEST, will become a valuable tool in the forecasting of
space weather.
