@mbalcerzyk Hello, we do not offer past weather data. For the future rain forecast, you can use layer Rain accumulation.

@richardappleyard
You know that Windy does not design any weather models. They are developed by national weather centres.
But there are some meteorological events which are difficult to predict precisely at a location, such as convective rain. In any case it is useful to look at the rain map to see the precipitation chance in the neighbourhood.

@karthikeyank Hello, we visualize forecast based on weather models. Models do not show precipitation in seconds.

BOM provides here 121 years of rainfall in Australia, and more specific stats there.

@handigehenriette
Hi, showing '100mm' as the maximum value for 10 days accumulation would be much to low in some regions. The color scale for Rain accumulation looks strange because it is based on a logarithmic scale:
https://community.windy.com/topic/10039/status-barr-amount-of-rain?_=1624180008100
So that’s not at all a bug.

@dan-easton - What about experimenting with some of the maps at this source below and seeing if you can establish correlation? Maybe a certain amount of soil moisture anomaly would correspond to puddles? NOAA also might have other sources you could find helpful. well. Their hydrological modeling is extensive. You might even try a call to the local wx office, as each office sometimes has their own wx and hydrology tools/outputs available for public use (put on their local page, actually). At least, it used to be that way about ten years ago or so. I assume not much has changed with that. The wx office page on the NOAA/NWS site or the local office phone number would be your best bet for such a contact.

Here is the most relevant source I found with a quick search: https://www.cpc.ncep.noaa.gov/soilmst/index_jh.html
Again, maybe it's not acculumated rain in the latest 1/2 day increments, but it is a start.

@idefix37 thank-you for the explanation.

@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

@idefix37 Indeed so! Apologies to both!

@Gkikas-LGPZ You are right and thanks for the correction 👍🏻

I think its too early to be sure. Forecasts are changing day by day.
ECMWF and GFS are not in agreement for the situation (Sat. 26 Oct / 12 Z)
eb95e7ac-19a6-46d1-891d-916bbf332285-εικόνα.png

For medicanes in previous years:
Nov. 2017 https://community.windy.com/topic/4935/medicane
Sep. 2018 https://community.windy.com/topic/6788/a-medicane-expected

@AndiDuen
In Thunderstorms layer, l/km2 means lightning per square kilometer.
The amount of rain is in mm or in inches, but never mm/m2. Sometime one uses l/m2 (liter per square meter).
10mm=10l/m2

@derekvof
Sorry, on iOS it works for me.