Turbulent fluctuation of integrated water vapor in the troposphere is one o
f the major noise sources in radio interferometry. Processed integrated wat
er Vapor estimates from microwave radiometers colocated with interferometer
s have been used to set bounds on this uncertainty. The bound has been in t
he form of a calculated structure function, which is a measure of temporal
or spatial decorrelation of fluctuations. In this paper a new model is pres
ented for the estimation of the structure function in the absence of radiom
eter measurements. Using this model, the structure function can be estimate
d using measurements or estimates of a limited number of meteorological par
ameters. These parameters include boundary layer depth, surface heat and hu
midity fluxes, entrainment humidity flux, average virtual potential tempera
ture in the boundary layer, and geostrophic wind speed. These parameters ca
n be found or estimated from radiosonde and surface eddy correlation system
data. The model is based on a framework of turbulence meteorology and prov
ides excellent agreement when compared with state-of-the-art atmospheric tu
rbulence simulations. Results of preliminary comparisons with ground truth
show some excellent agreement, as well as some problems. The performance of
the new model exceeds that of one current model.