@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

@Sybiljamie

If you look your data for Saturday the 13th of August, you see 0.4mm at 5.00AM. This is the total of rain accumulation between 2.00AM and 5.00AM. Then you see 0.9mm at 8.00AM. This is the total of rain between 5.00AM and 8.00AM.

If you go for Windy Premium, by splitting from 3h forecast to 1h forecast, you will see how the rain fall is spread by 1h in place of seeing the accumulation over 3h : for instance, you could have 0.2mm at 4.00AM and 0.2mm at 5.00AM as a potential example

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

@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

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

@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

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

@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

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

@crewbert
If you don’t want to do the calculation, you should use the layer called rain accumulation. With the picker at your location, you can see the accumulation after 12h, 24h, 3 days, 5 days and 10 days. See the screenshot below :

@preechapilaon
The best to do is to compare regularly and during couple of weeks the data from the different models versus real weather to understand which model could fit the best

@rick9004
You can compare the data of your station versus all available models. To do that, select your station at your place, click on it :

In the left corner, you can select the model and compare the data from the model versus data from your station

@teefrix
This is not yet possible but it could be the case in the future

For those who are not familiar with the polar vortex, here is a good and simple article : https://www.weather.gov/safety/cold-polar-vortex

@koramina
You can't remove places from dropdown search menu. You can use the favoris to isolate places you want to check on a regular basis

@shashighedia
I guess @johnckealy is working on it

@youricast
This model only covers part of Europe
https://www.dwd.de/EN/ourservices/nwp_forecast_data/nwp_forecast_data.html

@liam-pankhurst
You can already use the CAPE index layer to help you to predict thunderstorms

@hamilton_lv
Weather forecast don’t come from Windy but from the weather model you use. First thing to do is to compare the different models available with Windy to understand which model is the best for your area