APEX-MODFLOW model with PEST

Get data and jupyter notebooks

You essentially have 2 options:

- Easy way

• Download the data zip file
• Unzip it to a prefered location.
• After unzipping the archive file, unzip the "SWAT-MODFLOW" model zip file too.

- Hard way (Dev mode)

• You will need to install Git if you don’t have it installed already. Downloads are available at the link. On windows, be sure to select the option that installs command-line tools

• For Git, you will need to set up SSH keys to work with Github. To do so:

  • Go to GitHub.com and set up an account
  • On Windows, open Git Bash (on Mac/Linux, just open a terminal) and set up ssh keys if you haven’t already. To do this, simply type ssh-keygen in git bash/terminal and accept all defaults (important note - when prompted for an optional passphrase, just hit return.)

• Follow the instructions to set up the SSH keys with your GitHub account.

• Clone the materials from GitHub.

  • Open a git bash shell from the start menu (or, on a Mac/Linux, open a terminal)
  • Navigate to the folder you made to put the course materials
  • Clone the materials by executing the following in the git bash or terminal window:

  git clone https://github.com/spark-brc/2022_ArcAPEX_apexmf_opt.git

Installation

To execute jupyter notebook, we need the Anaconda environment.

1. Anaconda Python:

• If you don’t already have Anaconda Python installed, please install from this link:https://conda.io/miniconda.html (miniconda: anaconda light version) or https://repo.anaconda.com/archive/Anaconda3-2021.11-Windows-x86_64.exe (anaconda)
• Select the Python 3.7 version (if available).
  • Important - on Windows, choose option to install “for this user only” (Note, if you already have Anaconda installed, just skip to the next step which you will still need to run)

2. Set Environment and install libraries:

• On Windows open the Anaconda Prompt from Start menu (on a Mac/Linux just open a terminal). And paste in this string and execute (this creates a python environment (apexmf_pest) that will work with our codes):

If you have conda already, let's update conda first

conda update conda

then

conda create -n apexmf_pest python=3.7 jupyter notebook

• Activate the apexmf_pest environment

conda activate apexmf_pest 

• Finally, install libraries

pip install apexmf

if you have apexmf library

pip install -U apexmf

Then change directory into the example folder or drive:

• Change directory (example)

cd 2022_ArcAPEX_apexmf_opt-main

• Launch jupyter notebook

jupyter notebook

A browser window with a Jupyter notebook instance should open. Yay!