Investigate Format to Convert ERA5 Data To

[Ari1029]

• Have an image for each day (weeks, months, years). Within each image, there will be bands that represent weather
  parameters
• Image (raster data, each pixel has data) .TIFF files
• For time series prediction, think about each pixel. For each pixel, we will have T (number of previous timesteps we're using
  to predict the next step) x N (number of weather parameters) data. Eg. 10 previous days, 50 parameters for each day -->
  10x50 dataframe.
• This is 2D data, and if you want to consider spatial information (surrounding points), you can add another dimension