Interactive precipitation map. Now on the map: how the new Yandex.Weather works

When planning to relax in nature, or even planning a trip abroad, it will be useful to find out the weather forecast in the region where you are going to go. The application that displays the weather around the world on Windy Maps will help you with this, it is very easy to see the temperature and weather conditions online anywhere in the world.

Detailed satellite and vector map with weather forecast in Russia - Windy and OpenWeatherMap. Weather vector map of Russia and the world. Weather forecast for Russia on the map. World weather on the map. Weather in all regions and cities of Russia on the Windy map. Interactive weather map in Russia and the world.

Description

Zoom in and select the required region or city and study the current weather on the map for the given region. The symbols indicate: rain, sun, clouds, etc. Thus, we get complete information about the weather in the place of interest to us.
But the most amazing thing is that using this application and choosing the satellite mode, you can see the clouds online, their position at the moment right on the map!
If you select a specific city and click on a special symbol, then in the window that opens you will see detailed information with windiness, humidity, and even a weather forecast for several days.

An interview with the head of the most popular weather service in Russia.

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On November 30, Yandex launched a new version of its weather service. Now forecasts for wind, temperature and pressure can be viewed not only in the form of tabular data, but also in the form of an interactive map of the whole world. In this form, the forecast is given for the next 36 hours, and you can also view data about the past at the same depth (for example, in Moscow).

TJ spoke with the head of Yandex.Pogoda, Dmitry Solomentsev, about the new version of the service, methods for calculating forecasts, problems with weather applications on smartphones and notifications from the Ministry of Emergencies.

Dmitry Solomentsev

Dmitry Solomentsev: Two years ago, we launched our own weather forecast in Yandex.Pogod - it was. Then they launched a precipitation map, which helps to understand where it will rain down to the minute. Now we are presenting a global forecast, which we make using another tool.

Previously, the weather in Russia was always consumed in a tabular form. In Europe and America, the opposite is true: they always have weather maps. It is much more convenient for them to look at the maps where, for example, hurricane Irma will go and which regions it will affect. We went this way and decided to try to give people the ability to consume the weather on the map.

The most popular layers - precipitation, air temperature, wind direction and pressure - will be the main part of this release. Air temperature, wind direction and pressure maps are now global due to the changes we made to this service. These worms that move on the map indicate where the wind is blowing. The color scale shows how strong the wind is at any point.

When you point at one of the worms, does it show a vector?

This is a vector reduced to the main directions. That is, this vector cannot have an angle of 357 °, it has only eight gradations: for example, west or northwest.

That is, you do not have enough data to show the exact direction - or do you just take someone else's data, and such information is not there?

No, we form the data ourselves, but people are so used to consuming information - including accustomed to the fact that the direction of the wind usually has the format "north-west wind". And in the new version of Yandex.Weather, you can click on the map and see a pop-up icon with the current weather for any point.

The idea behind this launch is to give people a different view of the weather. Maps are a great way to check what's happening in other regions. For example, “weather in the Moscow region” is a fairly large and frequent layer of queries. The Moscow region is large, and people are interested in the weather in Moscow or in Solnechnogorsk. A great solution is to see the map and see these pop-up icons around the places that people are most interested in.

That is, the map always shows up-to-date data?

Yes, all data is real. Previously, the weather was calculated on request: a person came to the service, we showed the weather for him, calculated in the Matrixnet. Now we store this in a pre-calculated form and have the ability to update the data due to the fact that we have built a chain that allows us to collect all the factors together.

It's like the search index in Matrixnet: one factor changes and you recalculate?

Yes. All relevant tables are updated in a timely manner, and then a service works that can search for these tables, issue point queries and cut a tile from which a weather map is built.

What is the gradation from below in three hour increments?

This is the timeline. We have 36 hours in the past and the same in the future, and we can watch how the day changes to night, where it gets colder or warmer.

We worked on this scenario mainly because we see how people use the precipitation map: they very often look to the past. For some reason, they are interested in how events developed. Therefore, we decided to do the same for all other parameters.

Any idea why people are interested in the past on the precipitation map?

We have a forecast, but each has its own intuition. Users can scroll back to see if they believe our prediction or not.

Is the data for the past what the weather was like, or your forecast? Do you archive information about what the weather was like in the end "in reality"?

Not really. What you see in Yandex.Pogod is data on a continuous regular grid. But observations about the weather are a bunch of heterogeneous sparse data. These are meteorological stations, located approximately in the places where icons of balloons stick out on the service map, and here the satellite flew by and took something. All this data comes to us with a delay. We begin to calculate the forecast not from the current moment, but from the past.

That is, at some point on the tape from the past, complete data may not yet be received?

Yes. Any data that is displayed on the service is the best combination of all data and forecasts at the moment. You need a model to spread this data around the world. Where there is a weather station, we show a fact, that is, most likely, as it really was.

All stations have a different update period. Some station may be half an hour late - this is a good option. Sometimes it can be 3-5 hours late.

Do you have your own stations?

No, we don't have our own. We buy all data from different providers. Observation is not easy and we do not have that kind of expertise. We cannot properly install the station, more precisely, we know how to install it in accordance with GOST, but for this we need to hire a person who will maintain the station and correctly record observations. This is not our area of \u200b\u200bexpertise.

We collect all possible data that can be obtained from open sources or purchased under a contract, such as satellite data. Based on our meteorological expertise, we make atmospheric models that predict the weather, and then these models get into the machine learning algorithm. This chain is our added value.

We buy radar data. On the precipitation map, you see circles, and in the center of this circle there is a radar. It is a large construction site the size of a four-story house. He looks around him into the atmosphere for 250 kilometers. The distance depends on the terrain. We buy this data. Next, we train the convolutional neural network, showing it this data, that is, several sequential snapshots. She predicts what will happen in the future.

Why is the radar looking into the atmosphere? Investigates whether there are clouds or not?

It detects the presence of droplets larger than 100 microns. Then we have to do the analytics ourselves - there are clouds or something is dripping from the clouds. The most trivial way: if the radar recorded a lot of droplets, then, most likely, precipitation falls there. A meteorological radar works in the same way as an aviation radar: it scans in a circle and, from the reflected signal, understands whether there are drops there or not.

How many such radars are there in Moscow?

There are two in Moscow: one at Sheremetyevo, the other at Vnukovo. This is understandable because aviation needs accurate rainfall data the most. We made a service for people.

The precipitation map was wildly popular in the summer during times of heavy rains and hurricanes. By the way, the service "Yandex.Weather" is evenly popular, taking into account the seasonality and generally the most popular weather service in Russia.

Yes, but not the only one.

It's good that it's not the only one. The precipitation map is something that people pay much attention to in summer. Maybe they will pay attention in winter if there are heavy snowfalls.

This is an example of how we take other people's data, buy and do something good with it that benefits people.

As far as I understand, now Yandex.Weather will show forecasts for the whole world - and these maps are primarily sharpened for foreign users. What is their forecast consumption pattern and will it somehow be relevant for us?

First of all, we are rolling it out for Russian users. Why did I say about foreign ones? Because there is a significant difference in how they watch the weather and how we do it.

In Russia, there are frequent search queries, for example, "weather in the Tver region", "where it is warm now", "where there will be no precipitation on the weekend." People ask these questions in order to make decisions, such as where to go on the weekend. There is a request to check the weather in several places at once. If you use a text-based interface, then first you go to one page, then turn on another city, go to another page. It’s long and awfully inconvenient. The map immediately provides a visual response to this request. It immediately becomes simple and understandable.

If we talk about situations like "I want to decide what to do on the weekend" - this is planning with a horizon of three to four days. On such a horizon, the forecast accuracy is already low.

It's true. Low forecast accuracy is offset by product requirements. If we are talking about a precipitation map, then its horizon is two hours, but it gives an accuracy of up to 10 minutes. The user hardly needs to know what the weather will be in Tver at 14:10 Saturday, he just needs to understand the overall picture for the weekend.

It is much easier to predict whether it will rain in Tver on the weekend than whether it will rain in Tver at 14:10 in four days. This is a roughness of the conditions of the problem.

That is, if you have a general request, then you don't need accurate data either.

Not that they are not accurate, but rather not such detailed figures. But for the next day we have a forecast for every hour.

But this is not a 100% accurate forecast. How accurate is the precipitation map?

If we talk about spatial resolution, there is almost 1 kilometer.

Yandex.Weather predicts precipitation on the map only 2 hours ahead, but with a step of 10 minutes

But after all, from the precipitation map, and from the temperature forecast - I'm talking about the product as a whole - it is not at all clear that the service has a certain error, that this weather will not come with 100% probability.

Indeed, in order to manage expectations, we plan to add values \u200b\u200bsuch as the probability of precipitation to the forecast. The onset of precipitation is now shown on the service by the icon. We will add probability to the precipitation icon - a figure, for example, 40%. A person understands that rain is possible, he receives more information for making decisions.

To show that the forecast is becoming less accurate is visually difficult and, moreover, it seems that our users already know about it. And, of course, a lot of resources are devoted to making an accurate forecast.

Returning to patterns. There are frequent requests and there is a demand for visual maps, while there is a pattern to go to the “Moscow. Weather for Today ”and be content with this information. Perhaps you want to make this pattern change - the same requests indicate the need for such a product with a map.

Yes, absolutely. But the point is not that the audience is changing, but that we are beginning to cover new audience segments for which our usual forecast is not enough.

70% of our audience just look at the current weather, weather for the evening or morning. This is not enough for the people I spoke about a little earlier. We are improving the script for them. It's not that we're fundamentally changing how we use the weather service, although that would be a cool ambitious goal.

We must always start small, so we just suggest that people who are uncomfortable now make it a little more convenient. This category includes athletes whose sport is related to the wind. These are windsurfing, sailing, parachuting, paragliding. For these athletes, a wind map is essential, and now they are finding other specialized resources to use. And they watch the operational weather forecast with us. This is a good chance to show them that we can do it too, and they can stay on our service.

Why do I need to know where the lightning is striking now?

On the one hand, lightning is a danger, and it would be good to know if they are hitting somewhere far from you, on the other hand, it is fun to observe such things on the map. (shows) This blue zone has very heavy rainfall. When people look at the forecast, they can understand whether this front carries thunderstorm activity or not. This allows decisions to be made, although I will not argue that it is 100% utilitarian.

How are lightning strikes recorded? Radar?

Very similar to radar, but not quite. These are much cheaper sensors that are installed on Earth. These sensors register an electromagnetic flash that occurs at the time of a lightning strike. A network of these sensors is placed on the ground - they determine the approximate place of impact using triangulation.

What else is there in the new service?

For people whose health depends on the weather, we made a pressure map so that they can understand when an area of \u200b\u200blow or high pressure will come to them, and how long it will stay there. With the help of maps, you can also look at the pressure that is imposed on the direction of the wind - cyclones and anticyclones. But this is a very special story.

Interactive pressure change map

Weather addicts are, as I understand it, elderly people who like to measure pressure in millimeters of mercury, and for them the information in numbers is more understandable.

Yandex employee Zalina Bogazova: Evidence-based medicine generally denies that such a diagnosis exists. There are different categories of people and conditions that can really be associated with the weather, but these are different things, and not one big meteorological dependence. This service is being done for these people.

Dmitry Solomentsev: Astrology, the moon in Capricorn, everything.

Yeah, that is, Yandex.Horoscopes. (laughs)

You laugh in vain. Once there was a feedback: we temporarily removed the lunar phase in the Yandex.Weather application, after which several girls wrote to us: “How do we determine when to go get a haircut?” Then I learned that the phase of the moon determines how fast hair grows.

Returning to the topic of weather maps, the main thing we want to change with the current release is to give a different way of consuming weather for those who have not yet had such an opportunity. By the way, these maps became possible thanks to the technology of "digesting" the weather before users come to us, namely by the data update trigger.

Now I did not understand anything. Do users always come to a ready-made forecast?

Previously, we calculated the forecast directly for each specific user. How did this happen? Coming to the service, a person brings with him user data, for example, latitude and longitude using GPS. We combine other data with this data, such as the weather forecast using the 1-2-3-4 model, and compose a long vector. This vector arrives at the entrance to Matrixnet, and Matrixnet gives the forecast as a search query.

Now we keep the offline factors pre-calculated. This allows us to slice the global map. Previously, this would have been too resource-intensive. A short moment of using Matrixnet, which happens very often, heavily uses the processors on the servers. Now, thanks to the offline weather forecast, we got rid of it and now we can give maps and calculate the global forecast.

How is offline weather calculated? This is a large amount of data that needs to be cached. He must be constantly calculated?

This is a complex technical challenge. We have several data providers: they provide global weather forecasts made by different providers - European, American, Canadian meteorological agencies. We have our own model, which we count on top of these models. This allows for increased spatial resolution. Their cell size is from 20-30 kilometers, our size is 2 by 2 kilometers: in densely populated areas we always use our own model. And all this data comes in at some intervals.

How it happens at a low level: the amount of data has accumulated, which will help to increase the accuracy, new satellites and stations have arrived, these models have been recalculated. We uploaded them to ourselves - we calculated our model. Next, you need to update the weather condition. This all gets into a long process that prepares the factors for a machine learning formula and then applies this formula. All this allows us to divide the region into regions, to carry out calculations that we could not carry out before. Then, as I said, everything turns into a service with the most relevant data. And thanks to the way this service is implemented, the weather forecast is given almost without any delay.

You made a reservation that you do not make stations, do not engage in production, do not know how it works. So you don't consider b2b here at all?

We are aware of how it works, we just do not deal with production: b2b in the weather can be quite different. We already have several requests on how this data can be used. The first request comes from Yandex itself: this is weather and hyperlocal data for advertising campaigns. Obviously, some banners click better in hot weather and some in cold weather.

This can be approached from two sides. On the one hand, it is correct to display banners, taking into account the current weather in the ranking. on the other hand, you can, for example, give customers the opportunity to customize their advertising campaigns for specific weather conditions.

But Yandex.Direct won't allow you to do this yet?

We are currently in a closed test with several companies and agencies in order to determine the final functionality of setting up advertising campaigns based on weather. There is hardcore b2b - for example, aviation: this is no longer about us. But agriculture is a sector closer to us.

Aviation is still connected with safety: you will not give a 100% guarantee.

Nobody gives a 100% guarantee.

Aviation radars are 100% guaranteed.

Not. Firstly, radars, like all other glands, do not know how to predict. Second, they have observation errors, there are no ideal instruments. Here something could be reflected from a cloud, or from a tall building ...

I rather mean 100% responsibility. The data providers on whom people's lives depend have a high responsibility. Based on them, conclusions are drawn whether to fly the plane or not. You will not take on such responsibility.

Not true. It's a subtle story. Now we turned to the data that affect the life of people on the ground, and aviation needs slightly different data. In particular, all airplanes carry weather instruments. It is the largest observation network that measures meteorological parameters. We have not looked at this data, and our technology cannot outright be adapted to predict these parameters.

How about using data from such aircraft?

It can be used, but how relevant it is for people who walk the earth is not very clear. And aviation is a very closed market, where players of the level, for example, Roshydromet, which have their own radars, are located.

And the guys from agriculture have already contacted us. There are several companies that provide services for agricultural producers and large agricultural holdings. They are very interested in the weather forecast: they are especially interested in the fact that we have radars, that we can predict the accumulated amount of millimeters of precipitation, that we can take stations that they buy and install themselves, and refine the forecast for these stations. This is generally a good thing, but so far we have not spent any resources on entering this market.

And what are these companies willing to pay for? Here they have a weather station: let's say they want you to be able to predict the weather for a week ahead using your model based on their data. And you have, say, 18 sources from the largest companies and more data - why don't they just watch your weather for free?

This does not mean a replacement, but an addition. Often crop fields are in areas where the data frequency is not very good, so adding one weather station in a good location can be very beneficial. Second, they want a ready-made service. Yes, this is exactly how they work now: they open websites and watch the weather. But to make the process more convenient for them, you need to introduce certain triggers: wind strength, lack of precipitation and the level of the desired temperature. These are favorable conditions, for example, for fertilizers. Conventionally, a person needs to color the calendar - when it is possible to plant, when it is impossible - and periodically notify him that something is changing.

Yandex.Weather widget on Android, standard weather app on Apple Watch, precipitation map in Yandex.Weather app on iOS

Let's talk about your application. I now have a pain due to the fact that on iOS the weather is displayed by default, which they take from the American The Weather Channel. It seems to be a normal source, but for Russia it is obviously not relevant. I see strong discrepancies between what The Weather Channel and Yandex.Pogoda provide. On android, I replaced the weather app with Yandex.Weather, there is even a widget in notifications, but on iOS, Yandex.Weather does not integrate with the clock.

Many users tell us about the watch. This is about exactly what we are working on now. We calculated the costs of developing a good high-quality application for wearable devices inside ourselves and realized that the costs might not pay off. On the other hand, there are push notifications that are much cheaper to develop and will be broadcast everywhere - on Apple Watch, Android Wear. It was on push notifications that we made our bet: this way we can directly address the user, but we try to maintain a balance without annoying people.

And what notifications do you mainly send?

There are two main classes. The first is the Ministry of Emergencies. We broadcast the dangers from the Ministry of Emergency Situations, which then began to come every day. The second is notifications about a sharp change in weather, for example, the beginning of precipitation after a long absence.

This is probably not happening in manual mode? We in the editorial office often send notifications by hand when something unusual happens.

The only thing that we send manually is notifications from the Ministry of Emergency Situations, with which it was not possible to establish the IT system. We just look at their website and notify further. Everything else is automatic.

We are currently testing notifications with a precipitation map, for example, "It will rain in 10 minutes" or "It will end in 30 minutes." On Wednesday around we begin to announce the weather on the weekend when we are confident in the forecast.

There is a delicate balance here, you need to understand when to send and not send a notification. This is a machine with a lot of settings, and we experiment with it carefully. We try to involve people, but rather look at some long-term metrics, because good notification in our understanding should not force a person to open an application. The notification should contain about all the information, this increases loyalty. A person remembers that Yandex.Weather was useful and warned him in time.

You said that your service is the most visited in Russia. But these are statistics for the desktop. What about mobile apps?

We have fewer people in the mobile application than in the desktop. The mobile Internet is younger in terms of audience and, as a result, there are people there whose lives depend little on the weather.

Our desktop audience is older. They need to know the weather for the weekend, they all have summer cottages. In the desktop, we have a stable audience. The situation is similar in the mobile version of the site - it is one third of the desktop audience in size. In our apps, the audience has been growing since we updated them two years ago with the launch of Meteum. They grow organically. Now in Google Play, we are the top-1 in Russia in terms of weather applications, but I could be wrong.

These applications have become popular in large part due to the fact that we have an hourly forecast and a precipitation map, which no one else has in this form. We noticed this on metrics at the beginning of this summer. Now we are trying to visually improve the application, because before that it was very simple. It will become prettier.

Why do the Emergencies Ministry screw up so often? Whose data do they use?

They use data from Roshydromet. Why do they often have false positives of the warning system - because they have a task to interrupt. This is the right strategy for them. The value of warnings certainly falls, but they cannot fail to warn. Why they often make mistakes is not a question for me. Hazard and normal weather forecasting are two different types of science.

We at our "Meteum" may not see a hurricane, because we have never been trained in this. They rarely occur, especially in the central part of Russia, and we do not specifically distinguish them from the whole mass of weather events.

It's strange: you give off lightning, but not hurricanes.

We determine lightning using measurements, but hurricanes or tornadoes need to be predicted. We try to provide the user with information for making everyday decisions. Roshydromet and the Ministry of Emergencies have the infrastructure that we do not have: aircraft, radars, and exit points. We get some of this data, but not all. With only all these data, and maybe even more, you can begin to predict dangerous phenomena well. But this is not the task that we set ourselves as a service.

That is, you do not set such a task and do not have the technical ability to warn users about dangerous phenomena? Can you say that the rain will end in 10 minutes, but you cannot predict a strong wind?

We can do a strong wind, but a hurricane in the direct sense of the word is not.

If the situation repeats that was in the summer of 2017 - can you warn users about this?

We predicted a very strong wind that day, up to 28 m / s - this is approximately what was recorded. But it is impossible to say something definite about this, for example, "A hurricane is coming", because we cannot track such formations in our model. We accurately predicted the strong wind, but what it was associated with, we could not say, and that day we did not send warnings about it. We are working to send push notifications using more parameters than now.

You would like to warn users about such things, but you cannot. There is some disagreement here: do you want to take responsibility?

The area of \u200b\u200bemergency warnings is very regulated - only the Ministry of Emergencies can submit them. Everything that the Ministry of Emergency Situations gives is broadcast verbatim and without changes. But if a strong wind with gusts of 28 m / s appeared in our forecast, then why not warn about it.

The situation with more frequent notifications from the Ministry of Emergency Situations will develop into the fact that there will be less trust in them over the next months, and by the next rainy season, trust will drop to a level where no one will respond to the notification. Perhaps they will draw conclusions and stop sending so often and at some point a repeated situation may occur. In this case, you want someone to send this warning after all. Whether Yandex will be this source is the question.

All predictions are wrong. No matter how perfect the technologies are, and no matter how many means of change there are, all forecasts are wrong. If you need to understand what will happen in Moscow within a few hours, then you need to go to our map, including precipitation, to look and understand what will happen.

Oh well. Now, if you and the Ministry of Emergencies do not succeed ... I know that Yandex works well with the Moscow city services. If weather data is sent through such structures, then you can warn them, for example, that the cars of city services need to leave and carry out work to prevent floods.

I can't say anything about this. Yes, we would like to do this, and there is interest from a certain side, but so far there is no concrete implementation.

Not yet, but technically and theoretically feasible?

Quite. Utilities are the ones we can help. We can predict heavy snowfall. Or ice - it's business logic on top of weather data. Ice is determined by the presence of precipitation during the previous day, humidity, wind, temperature. All this is predicted, it is put into a formula, and it says whether there will be ice or not.

Do their other services use this weather data?

Yes, for example, Yandex.Navigator has them.

Are traffic jams predicted with their help?

No, it is not used there yet, as far as I know. We plan to introduce weather to many locations. It seems to be relevant on Yandex.Maps, but right now the main effort is focused on incorporating weather into advertising products.

Weather is one of the essential factors that directly affect our well-being and mood. Good, sunny weather makes us happy and positive, bad weather leads to apathy, melancholy and depression. Trying to predict the weather for the near future, we turn to the help of various network services available online and completely free of charge. In this article I will talk about the services that display a precipitation map online, describe their capabilities, and also explain how to work with them.

Today, there are a sufficient number of sites that provide users with access to the precipitation map in real time. Such services are presented as in the Russian-speaking segment (for example, Yandex weather map)and on foreign, mainly English-language resources (Meteoblue, WeatherOnline, Gismeteo, etc.).

The vast majority of them have a Russian-language interface, and when switching to them, the Russian language is automatically activated. All of them are free and have an intuitive interface. The most advanced of them offer the user to take part in the project by joining the community and purchasing special equipment.

These sites are fairly easy to use. You go to the resource, turn on the desired type of display (for example, precipitation, temperature, wind, humidity, etc.). Then find the region you need using the search (or the mouse), and see the result.

Let's take a look at the resources that offer their users in real time.

Meteoblue.com - Displays live rainfall maps

The online service Meteoblue.com offers users high quality weather information. It is primarily targeted at weather-dependent businesses and meteorological professionals. The project was created by the University of Basel back in 2006. It has gone through several stages of its formation, and now offers precipitation forecasts based on the work of the NOAA / NCEP GFS models.

1. To work with the resource, go to meteoblue.com.
2. Select the country and type of display (precipitation).
3. Then you will be able to observe on the map how precipitation changes with each subsequent hour.
4. The menu on the left allows you to see the current weather. As well as forecast for the future, view meteograms and enjoy online webcams.

Windy.com - shows online the number of thunderstorms on the map

Windy.com is one of the successful projects of the Czech millionaire and philanthropist Ivo Lukacovic. He developed an online map to track rain and snow as a home entertainment. Over the years, the service has acquired a professional status, replenished with strong programmers, received a mobile implementation on OS Android and iOS. At the moment it is one of the most popular weather resources in the world.

1. To work with the service, log in to windy.com;
2. On the right, activate the option "Rain, Thunderstorm";
3. In the line "search for a location", type in the name of the country (city), the weather of which you need to know.

Also, other weather options are available on the map - display of temperature, clouds, waves, wind, dew point et cetera.

Precipitation level on windy.com

Ventusky is a popular Czech weather service

Czech service Ventusky (from Latin "ventu" - "wind" and English "sky" - "sky") is a worthy national competitor to the aforementioned Windy.com. The Ventusky project was created by the Czech company InMeteo, which specializes in the creation of online weather forecasts around the world. The weather image on the map is constantly changing in real time, the resource has a high-quality Russian-language interface. It also has its own mobile applications that are available by clicking on the "App" button.

1. Start ventusky.com.
2. On the left, select the option "Precipitation" (or "Thunderstorms") and use the mouse (or the search bar) to find the area you are looking for.
3. In this case, the choice of the "Precipitation" option allows you to view the forecast of precipitation accumulation for an hour or three hours.
4. And activating the "Thunderstorms" option will allow you to select a number of relevant indices (CAPE, CIN, wind shear, lifted index, etc.).

In addition to displaying thunderstorms and precipitation, the Ventusky map has modes for viewing humidity, waves, snow cover, wind speed and gusts, and other options.

Weatheronline.co.uk - a reputable UK weather resource

Weatheronline.co.uk map is a British weather resource that displays both the state of the weather and its forecast for the next time period. The project has Russian-language localization, and a fairly broad functionality. You can select both general continental maps and maps of individual countries, and view the dynamics of precipitation changes using them. The resource has a database of archives, with the help of which you can see how the weather has changed over the past periods.

1. To work with the resource, go to pogodaonline.ru (Russian version of Weatheronline).
2. On the left, select the desired country (district) to display, and on the right, the display mode (precipitation).
3. The control panel at the top will allow you to read the weather news (in English).
4. And also view archives, analyze data on radars and satellites, enjoy the picture from webcams.

Rainviewer.com - Analyzes and predicts precipitation with radar information

The site rainviewer.com, created by Russian enthusiast Alexei Schastlivy, allows receiving precipitation data both for the current moment and for the future. The resource periodically scans the sources of radar information. It processes the received information and places the received data on the sitemap. You can see both the current state of precipitation in the region you need, and the future forecast, for which it will be enough to click on the "Play" button at the top.

Conclusion

The resources listed above display a map with illustrations of various precipitation online. The services are free and have a Russian-language interface. And can be recommended to everyone who wants to get detailed information about the weather forecast in real time.

In contact with

Weather online.
National meteorological and hydrometeorological services "wmo.int" "short introduction

Below online weather maps are animated maps of weather phenomena maps with animation of current radar observations; interactive maps of temperatures, pressure, precipitation, clouds, etc. Maps with weather information displayed in real time all atmospheric processes, or weather phenomena online. And also "weather on the maps" with forecasts for tomorrow and 5 days in advance throughout Russia.

»For clarity, click and see examples and comparisons here

Animated maps, animation of weather phenomena.

Animated weather forecasts for Europe and the European part of Russia for 2 days. Animation of the forecast for 48 hours according to the regional model of the Hydrometeorological Center of Russia:

Video (press play) → animated precipitation and pressure maps based on the global spectral model of the Hydrometeorological Center of Russia, three-day forecast. Animation of weather phenomena in the North-West Central South and North-Caucasian Volga Ural Siberian Far East districts.

Forecast maps.

Synoptic charts, surface forecast charts with frontal analysis.

Unlike the above-presented forecast maps, these synoptic maps are more informative. The meteorological elements on the map will "tell" you about cold and warm fronts, precipitation zones, centers of cyclones and anticyclones (areas of low and high atmospheric pressure), directions of their movement, atmospheric pressure, wind, all precipitation, unfavorable weather, etc. ranges from 24 to 60 hours.

Temperature forecast maps for five days.

Thunderstorm maps..

Another World Wide Lightning Location Network card. It shows all the "lightning strikes" around the world, i.e. it is a global map. Its peculiarity is that the data is displayed in real time (choose "Real-Time" from the menu). Also, click the buttons "Cloud Overlay" (show cloudiness, located at the top left of the map) and "satellite" (top right). Thus, you will be able to see more and other weather phenomena. The map is interactive, full-screen mode is possible, move, zoom in, etc. WWLLN Real Time Lightning Data.
True, there is a "BUT". To view the "new map", the authors added the following note. "Known to work with Firefox 27, Chrome 33, Safari 7, and Internet Explorer 11. The maps are not supported for non-desktop browsing (i.e. phones or tablets)." Browser versions must be at least specified, plus some browsers for phones and tablets are not supported.
»Lightning map - a map of lightning around the world in real time

Satellite weather, view of the Earth's surface from space.

Speaking about weather on a map, weather maps, etc., users often mean online viewing, visual display of cloudiness, precipitation, and other atmospheric phenomena. So DO NOT forget to visit the satellite weather page later. The content is useful and interesting and will be quite relevant for many visitors who want to watch "online weather on maps".
»Satellite weather, real-time images

The most important hydrometeorological phenomena.

• ✔ August 6. In the Omsk region, rain, thunderstorm, wind 15-20 m / s.
• ✔ August 5-6. In Tatarstan, on the 5th night of August 6, heavy rain, thunderstorm, wind 18-23 m / s. In the Magadan region, heavy rain (August 6 on the coast is very heavy).
• ✔ 5th of August. In the Astrakhan region, Kalmykia the wind is 23-28 m / s. In the Stavropol Territory, Kabardino-Balkaria, North Ossetia, heavy rain, thunderstorm, hail, wind 15-20 m / s (in the mountains of Kabardino-Balkaria up to 25 m / s).
• ✔ August 4-5. In the Rostov, Volgograd regions, Krasnodar Territory, on August 4, in the mountains of Adygea, heavy rain, heavy rain, thunderstorm, hail, wind 23-28 m / s. In the Primorsky Territory, heavy rain, thunderstorm.
• ✔ August 4th. In the Murmansk region, rain, wind 15-20 m / s (on the coast up to 25 m / s). In the Arkhangelsk region, heavy rain, wind 18-23 m / s. In the Nenets Autonomous Okrug, heavy rain, wind on the coast 22-27 m / s. Heavy rain in Komi. Heavy rain, thunderstorm, hail in the Belgorod region. In the Voronezh region, heavy rain, heavy torrential rain, thunderstorm, hail, wind 18-23 m / s. In Crimea, heavy torrential rain, thunderstorm, large hail, wind 20-25 m / s. In the Krasnoyarsk Territory, in the Turukhansk municipal district, heavy rain, thunderstorm, wind up to 18 m / s, in the central and southern regions, intense heat (daytime temperatures up to 35 degrees). Khakassia is extremely hot (daytime temperatures up to 35 degrees). In Tuva, rain, thunderstorm, hail, wind 15-20 m / s. In the Tomsk region, heavy rain, thunderstorm, hail, wind up to 18 m / s. In the Irkutsk region, heavy rain (very heavy in mudflow-prone areas), heavy rain, thunderstorm. In Buryatia, Trans-Baikal Territory, rain, torrential rain, thunderstorm, hail, wind up to 18 m / s. In the Amur Region, heavy rain, heavy rain, thunderstorm, wind 15-20 m / s. Heavy rain in the northern regions of the Khabarovsk Territory. At night in the central regions of Yakutia heavy rain, thunderstorm (in Yakutsk, continuous rain). On the coast of the Chukotka Autonomous Okrug the wind is 22-27 m / s.
• ✔ August 3rd. In Dagestan, heavy rain, heavy rain, thunderstorm, hail, wind up to 25 m / s. In the Perm Territory, the Sverdlovsk Region, heavy and very heavy rain, wind 15-20 m / s. In the west of the Khanty-Mansiysk and Yamalo-Nenets Autonomous Okrugs, heavy rain, thunderstorm ...