SSTvisualizer

Visualizing sea surface temperature data in a way that it is easy to understand and interpret.

Anaconda environment installation:

Please to run the following code using the "environment.yml" file in the root folder:

conda env create -f environment.yml

To activate the evironment run:

conda activate PyLab4NetCDF

At this point your environment should be functional and ready to go!

How the folder is structured:

• SRC folder that has inside all the files below (in a funtional programming point of view it can be considered the root folder)

• TEST-DATA folder that contains the starting NetCDF file to be processed

• PNG folder that contains all the imaged created for each time step (the image will be numbered in a integer range starting from 0)

• lib folder that contains the python modules needed to process the data and called by "main.py" script

• main.py script that allows to start the proccesing.

From the main.py file we can modify:

• input data: "infile" variable with the path to data to process

• dpi: resolution of our image

• fps: frame for second - the velocity of the animation in simpler terms

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How to start with my data inside TEST-DATA (relative to the SST on August 2022)

just run the "main.py" script once you finisched to settting up your python environment

You are going to observe:

• The PNG folder is going to be fill up by map images one for each time steps.

• When the first process, described in the previous step, ends then a second process will stack cronologically all the images produced, generating a GIFF file.

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