Snotel Project

Snotel Meteorlogical sites have provided water resource managers viable data to estimate timing of runoff and also helped snow sciencists better understand patterns and chnages in snow dynamics.

Getting Started

Running the app locally

Using VIRTUALENV

We suggest you to create a separate virtual environment running Python 3 for this app, and install all of the required dependencies there. Run in Terminal/Command Prompt:

git clone https://github.com/geomex/metstation.git
cd metstation
python3 -m virtualenv venv

In UNIX system:

source venv/bin/activate

In Windows:

venv\Scripts\activate

To install all of the required packages to this environment, simply run:

pip install -r requirements.txt

and all of the required pip packages, will be installed, and the app will be able to run.

Using Conda Environment

The other option is to use a conda environment, to do this you will need to install anaconda or conda onto your computer. You can following the steps found at the Anaconda Installation Site.

Once you have anaconda installed you can run the following to create the anaconda environment and then activate it.

1. conda env create -f environment.ymnl
2. conda activate metstation

Using the Webcrawler

Once in proper environment, you will neeed to make use of the webcrawler by runninG the following in the command line and follow the questions prompted.

python snotel_webcrawler

Setting up a Local Postgres Instance

brew install postgis

Running a Local Instance of Postgres

To run a local instance of postgresql you'll need to run the following command after setting up the Database

pg_ctl -D /usr/local/var/postgres start

Plotly Dash Instructions

... coming soon to an environment near you!