This module is part of the NOWCAST proyect by ESO that aims to do short-term-forecast of the seeing parameter in order to improve astronomical observations. This module can handle the wind data given by the ECMWF as csv files.
The first thing tyou have to do is taking all the wind files and put them in the folder files2reformat. They have to have the structure specified in files2reformat/README.md.
In the folder correlation_df_file you have to put the file max_corr_df.correlations generated by the correlation_module
You also have to fill the configuration in the modules/config.py file, that specifies all the required information for the program to run properly.
Once That is done, you have to execute the main.py file. This file will do the following:
- It will create a
wind_data.dfbinary in the folderfinal_output: This file is a pandas dataframe with all the information from the different files in one file. - It will create a
numpy_data.matricebinary in the folderfinal_output: This file is dictionary with different data matrices having data for plot.
This module basically takes all the correlation data and the wind data together. With the wind data, per each layer, does an estimation of the time required for a signal to travel at the speed of that layer and in the direction of that layer, from site 1 to site 2 and stores everything in a dictionary for latter visualization