@koukgr
As explained by @idefix37, there is no way for Windy to draw fronts. There are websites where fronts are drawn tha you can use.
Having said that, there are alternatives to visualise fronts that you can use with Windy. One way is to use the humidity map at 700 hPa. A front is materialised at this altitude with a humidity above 90%. Another way, combined with the humidity map is the temperature map at 850hPa. Ideally we should use the potential temperature (thêta’w) but still it can give you an idea of the temperatures differences between air massa so in fact discontinuity which is the sign of a front.
Again, those 2 maps don’t replace fronts map but it works quite well

@korina
Very nice summary Korina. Will be useful for a lot of users !

The temperature of the Mediterranean sea is quite high this year. In some ares, temperature at the surface is around 28°C. This is of course due to the hot spring and summer.

This situation is not without consequences :

1. a medicane was formed close to the Libyan coasts and hit last Friday Greece creating a lot of damages because of the wind and rain

2. yesterday, in the South of France, because (but not only !) of the intrusion of very warm and humid air from the sea, combined of course with other factors (instability, anomaly in altitude, wind shear), it created a multi cellular thunderstorm which was stationary : each new convective cell (this is why it is a multicellular system) is created in the exact opposite way of the move of the system in altitude because of the wind shear. This creates therefore a stationary thunderstorm which is terrible in terms of rain accumulation because you can get huge quantities of water at the same place during 24h or even more.
   This thunderstorm created floating and a lot of damages in France (more than 600mm of rain in 24h)

Unfortunately, other episodes like the ones mentioned above could happen in the coming weeks,...

@ginop
First of all, please start to check the posts published on this forum and discussing rainfall forecast.
Example : https://community.windy.com/topic/13586/about-rain-calculate/2?_=1602329137551
There are many others, use the advanced search tool to fine them and to read them. You will find a lot of advices.
Principles are always the same :

1. compare the different models to verify the consistency within the forecast from the different models. It is a kind of statistic approach to give you a level of confidence
2. don’t look only the meteogram which is focus on one location. You should check with the Windy rain map, the rain forecast in an area of let’s say 20km around the location. Often, models foresees no rain at the location but for instance 5mm at only 10km from the location. Thereofore risk is high to get rain at the location.
   Combining 1) and 2) should tell you the probability of getting rain or not

@hgk209
First of all, we should get the confirmation about the exact meaning of the shades of grey. Is it humidity level or cloud cover ? High level of humidity doesn’t necessary mean clouds

@Korina
@ivo
Could you let us know ? Thanks

@Joerg78
The model from ECMWF is called IFS. This model has 4 run per day: 0z, 6z, 12z and 18z. So far, Windy gave us access to only 2 run, 0z and 12z (the main run). Now, the Premium users have access to the other 2 run, 6z and 18z

@nwindy
Yes, the way the ensemble model calculates the probability is as you explain : for instance for the rain, each dot of the 21 dots can give a different level of rain (1mm, 4mm, 10mm,...). Based on that set of different levels of rain, the model can calculate several probabilistic values such as the average, variance,... This will allow you to quantify the risk of rain

Now, if the model has to adopt the same approach for many other parameters, such as pressure, temperature,... And for each parameter do the 21 calculations (do not forget that each calculation is the equivalent of a single deterministic calculation), computional limitation will be the issue if the model keeps the same grid. To overcome this problem, grid is bigger, calculation of the 21 dots for the different parameters becomes ok but accuracy will decrease.

Computational calculation is key. In average, weather forecast improves by one day every 10 years thanks to the computer (super calculator) progress

@Hubert406
Il est important de comparer les différents modèles : ICON, IFS (ECMWF), GFS,... C'est à cela que sert notamment l'outil de comparaison disponible avec le météogramme. Vous pouvez comparer les précipitations prévues par chaque modèle et vous forger une opinion sur la quantité de pluie probable.

Une autre chose à faire est de ne pas regarder uniquement le météogramme qui est focalisé juste sur votre localisation. Il faut regarder la carte des précipitations pour voir si autour de votre localisation, par exemple dans un rayon de 15km, il n'y a pas de la pluie prévue par les modèles. Si 5mm de pluie sont prévus à 5 ou 10km et rien chez vous, il faut se poser des questions quant à la probabilité que vous ayez tout de même de la pluie chez vous, le risque est grand car il suffit d’une petite déviation et vous avez les 5mm pluie aussi

@anthony10
Yes, upgrade is in place and this is the version available with Windy

One of the typical feature of a medicane is the hot core which is much warmer than outside. It is very interesting and instructive to follow it at different levels. At the beginning, you could notice the difference at low levels, 850 hPa for instance but day after day, you can see the differences, in the core and outside, also at much higher levels. This is because in the development process of an hurricane, the system releases latent heat, among others because of the condensation of warm and humid air at higher and higher level. Here you can see it clearly on the follwing map at 600hPa : +2°C in the core, -2 or -3°C outside. Huge difference !

Very instructive to follow the development of this medicane

I would recommend Barani products (Meteohelix)

@FedericoBarbieri
Meteogram contains already a lot of information so what else are you thinking about ?

Wonderful satellite views where we can easily see the low pressure system with the warm front followed by the cold front and then the tail end sky, very typical in the sat view. This perfectly fits with the fronts map from DWD. This is to illustrate that we can get a lot of information from the satellite view !

@vujacicm
In English, you can read the book from Roland Stull, practical meteorology. Remember that a front is the border (sharp or not) between two air massa. Depending if the air after is colder or hotter, the front is cold or warm

@pjpops
If you put your location in favori and enable to display the forecast for the next four days when you open the app, in one click you will open the meteogram, which is what you need

@chzhh
It depends but both infos are of course very useful. As ypu can clearly see in both graphs, there is, fortunately, a correlation ! RH has the advantage to be easyly available and largely used

@Michal-Fortik
It is cloud base, not the visibility

As far as I know, no, this is only for temperatures and wind

@jbyrd42
And do not forget to compare the data from all available models to find the most reliable one for your area

@caroll2
Strange because this is quite easy to do. You deselect wind particles and you select the rain map. See picture :