-open the appropriate converting script

-change the following statement as you wish :

   * Data = open("NameOfTheJsonFile.json", "w") 

	* nc = netCDF4.Dataset('NameOfTheNetcdfFile.nc')

	* data = nc.variables['NameOfTheVariable'][:,:,:]

-launch the script with python

1. The menu is displayed by index.html, each button have a specific name that will be used later

2. earth.js gives each button specific information to send to product.js such as "overlayType or mode"

3. product.js use the informations sent by earth.js to display specific data.It contains multiple functions 
   (one for each type of data), using the mode's parameter, it knows wich function to use and in wich file to look.

- **on index.html**
    *added modes button (temperature, precipitation and cloudness)

- **on earth.js**
    * d3.selectAll(".mode").each(function() {
        var id = this.id, type = id;
        bindButtonToConfiguration("#" + id, {param: "wind", mode: type});
    });
    
    * the mode's buttons will send param : wind, their name as the mode 

    * d3.selectAll(".mois").each(function() {
        var id = this.id, ot = id;
        bindButtonToConfiguration("#" + id, {param: "wind", overlayType: id});
    });

    * the month's buttons will send their name as the overlayType 

 - **on product.js**

    * function gfs1p0degPath(type) {
    var file = type +".json";
    return [WEATHER_PATH,file].join("/");
    }

    * the function to build the file's name is using one variable wich will be the mode's parameter sent by the mode's buttons.

    * dict= ['Janvier','Fevrier','Mars','Avril','Mai','Juin','Juillet','Aout','Septembre','Octobre','Novembre','Decembre']

    * will be used to find the data corresponding to the choosen month 

    * if (dict.indexOf(attr.overlayType)!==-1){
                        k=dict.indexOf(attr.overlayType)
                    }else{
                        k=0
                    }
                    var record = file[k], data = record.data;
    *this is how the code fetch the correct data, for example, if overlayType is 'Janvier', k will be equal to 0,
    and file[0] will be the first set of data of the file, in our organisation, it correspond to the first month of the year. (if overlayType is note in the dict, it takes january's data)

    * "temp": {
        matches: _.matches({param: "wind", mode :"temp"})
        
    * this is how the code enter the right fonction, by checking the informations sent by earth.js