*** Supplementary data from: Water Flux Exchange Simulations  ***
Authors: Moghaddam, Mohammad, Ty P.A. Ferre, Xingyuan Chen, Kewei Chen, Xuehang Song, Glenn Hammond
Applying Simple Machine Learning Tools to Infer Streambed Flux from Subsurface Pressure and Temperature Observations
University of Arizona
Corresponding author: Ty Ferre
Contact Information:
 (tyferre@gmail.com)

***General Introduction***
This dataset contains synthetic data for “Applying Simple Machine Learning Tools to Infer Streambed Flux from Subsurface Pressure and Temperature Observations”.
A 1D model simulating flow and heat transport in vertical direction was built to generate synthetic temperature, pressure and flux data. 
The model is 2 m in length with a grid dimension of 0.01 m. 
It is being made public both to act as supplementary data for publications and the PhD
thesis of Mohammad A Moghddam. 

In this study, PFLOTRAN (Hammond et al., 2014) is used to simulate subsurface water flow and heat transport beneath a stream.  
PFLOTRAN is a parallel multiphase flow simulator implemented in object-oriented FORTRAN.  

***Description of the data in this data set***
The hydraulic head at bottom is assumed to be constant as 5 m. The hydraulic head at top and the temperatures at top and bottom are extracted from 3D numerical model.
temperature and vertical velocity between 7/1/2016 and 6/30/2017.
The simulation was run for a permeability= 3.86*10^-11
Each row represents a timestamp while columns represent depths.


***Units of the data in this data set***

Temperature:  C 
Pressure: Pa
Flux: m/s