Long-term forecasts return rain to Spain

Although we have had storms and surprises in the last couple of weeks, the truth is that we have enjoyed a certain meteorological stability that has given a break to the very saturated soils, rivers and swamps of the peninsular geography. The reason is simple (the NAO positive), the bad news is also simple: there is a turnaround brewing in Scandinavia. And, as a side effect, our chances of receiving a train of storms from the west again have risen significantly. But, first of all, let’s explain what the NAO is. The ‘NAO’ is the ‘North Atlantic Oscillation‘: I usually describe it as the ‘dance’ between the Azores high and the Icelandic low. That is, between the two major atmospheric phenomena that govern the meteorology of the North Atlantic. When the index we use to “measure who is winning” is negative, the Azores anticyclone is weaker than normal and, therefore, is unable to block the deep storms that hover over the Atlantic. The direct consequence is that they circulate further south than normal: right at our latitude. What happened at the end of February and what will happen at the start of March is the opposite: positive NAO. That is, the Azores anticyclone is strong and that sends the jet further north. Something that gives us stability, fewer fronts and (usually, although not necessarily) colder. But there are signs that this is beginning to change. It is important to remember that we are talking about long-term predictions and there are still many days ahead, but the pattern seems to be gaining consistency: during the first half of March, an anticyclonic block will develop over the skies of the Scandinavian peninsula. That, presumably, can undulate the jet and encourage more rain in the Mediterranean. That is, at least, Sergio Escama’s prediction. And the truth is that it is compatible with the weekly prediction that AEMET published a few days ago. Why is it important? Above all, for two reasons: the first is that the scenarios that are compatible with these schemes can give rise to a lot of rain on the Mediterranean façade. That is, because torrential rains are on the table. And the second issue is that we must not forget that Spain it is up to the top of water. “More rain” will be synonymous with “management problems” for weeks. So here we are, looking obsessively at the Nordic countries to see what the Atlantic will send us. Image | ECMWF In Xataka | Andalusia anticipates the storm and has already canceled in-person classes and activated the UME. The doubt is placed on the workers

How to use it to ask the time today and how to program that forecasts appear

Let’s tell you How to use Gemini as a time applicationso you don’t need to use any more. Because opening your mobile application is easy, but it is even easier to invoke the artificial intelligence of Google to directly ask the question with your voice. Let’s start by telling you how to ask the time information to Gemini And what information shows you. But then we will go to the most interesting, schedule a routine so that show you the information of a certain time every day Without having to do anything. Gemini tells you the time easily For Gemini to tell you the information of time, you must Ask him How is the weather today?. You can do this by voice and directly written in a chat with AI. In Android you can Change the assistant to Gemini To invoke it keeping a side button, and you can simply ask the question. When you ask Gemini, you will be shown a module where you can see the temperature in real time in the location where Google detects that you are. It will also tell you the evolution of temperature during the next few hours, the minimum and maximum, and the probability of rain. If you invoke Gemini by voice, this information will be shown on a card that overlaps the screen. You can also ask for other detailshow to ask for time including wind and humidity speed, time in other locations or on specific days. Configure regular time warnings But not to have to ask you manually, you can configure Gemini so that Every day I send you a notification With the time report at the time you want. The process to configure this is very simple. First, you have to enter the AI ​​app and click on the microphone. So, you have to say the following prompt: “Give me, every morning at 10, a full report of the weather forecast of my town.” Here, this prompt can modify it to choose the time you want, the periodicity, or even specify the information you want to appear. You can also add concrete data that you want to be mentioned. When you do this, you can verify when you want if the routine is configured correctly. For that, click on your profile image up to the right, and in the menu that opens, choose the option of Scheduled actions That will appear. This will show a screen where you can see the routines or automatisms configured in Gemini. On this screen you can check them, but also pause or erase them To leave everything to your liking. In Xataka Basics | The best prompts to save work hours and do your homework with chatgpt, gemini, co -pilot or other artifici intelligence

Meteorological forecasts are a private preserve. A new AI model wants to democratize the prediction of time

A group of researchers has just raised a most striking option: democratize meteorology. Your new weather prediction system challenges traditional systems, very expensive in computational resourcesand make use of AI so that (almost) any of us can become a meteorologist who performs his own personalized predictions. Aardvark Weather. This is the name of a new system of weather predictions that according to those responsible will make any researcher with a desktop PC in a full -fledged meteorologist. The system makes use of AI algorithms and raises an alternative to the conventional systems they use thousands of times more computing capacity. Homemade predictions. The normal thing is that a weather forecast platform takes several hours to process a prognosis. For this, it also needs supercomputers and a team of experts who develop, maintain and display those forecast systems. Aardvark Weather allows you to train an AI model with data from Meteorological stationssatellites, ships or airplanes worldwide and then make predictions based on that data. The investigation. The study Published in Nature this week comes from a group of researchers from the University of Cambridge, the Alan Turing Institute, Microsoft Research and the European Center for Medium-Russian Weather Forecasts (ECMWF). In it they explain how the numerical weather prediction (NWP) is being replaced For automatic learning and neuronal networks that allow “improving the speed and precision” of the prediction. Hyperlocalized forecasts. Among other things the system would allow to offer hyperlocalized forecasts and adapted to specific industries. Richard Turner, automatic learning professor at the University of Cambridge, explained In The Guardian how this model could be used to predict temperatures for agricultural crops in areas of Africa or The wind speeds For a renewable energy company in Europe. The time in the next eight days. Turner adds that the model could be able to generate precise forecasts for a range of up to eight days in the future, when it is normal for precise forecasts to only be guaranteed to five days. Rapid. This system is capable of generating a complete forecast from observational data in a second when processing it in four NVIDIA A100 GPUS, when 1,000 hours-nodo is normally taken in the HRES model of the ECMWF. Ideal for developing countries. There are regions in which these types of forecasts are especially important, and having a “personalized” system would be very useful. Aardvark Weather offers that option according to its creators, because both its implementation and its use is much more accessible. Previous attempts. At the end of 2023 Deepmind precisely Graphcast announceda meteorological prediction system based on AI that had an operation up to 1,000 times cheaper in energy consumption. Its precision was in fact greater than the best of current systems, but it does not seem that development has been implemented in practice. A few months ago Deepmind researchers presented their evolution, called Gencastanother prediction based on automatic learning that improved its predecessor and that of course competes with Aardvark Weather. Everything therefore points to this type of systems are gaining ground and interest, but remains to be seen if they apply massively. Image | Brian McGowan In Xataka | Meteorological prediction will improve a lot in Spain: Aemet has invested 25 million euros in it

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