forecasts

The water exceeds 32 ºC and the forecasts are not good

by

Summer advances and the classic refreshing feeling when entering the waters of the Mediterranean It is something that little by little we no longer feel the same way. The reason is none other than that year after year the water continues to warm up and exceed record numbers, which not only makes us feel less cool when bathing, but is also causing alterations in our climate, reaching the point that it could even exceed the temperatures of the Caribbean Sea during this summer. Setting record. The data recorded on the Spanish coasts They are especially forceful, and here the oceanographic buoys are our best ally by serving as a source of these measurements and which have been recording exceptional figures. To put ourselves in context of what is happening in our waters, we can look at the Bay of Pollença in Mallorca, where one of the buoys detected a water surface temperature of 32.1 ºC. The reason. Here the main culprit is undoubtedly the constant train of heat waves that is leaving the water of the western and central Mediterranean above 30 ºC in many of its sectors. But in addition to affecting the marine ecosystem, these extreme temperatures on the ocean surface contribute a greater amount of water vapor to the air, which increases relative humidity to levels between 80% and 90% and destroys thermal comfort in the form of torrid nights. And it is not something specific, but rather it is an inertia that we are moving towards, as confirmed by the Copernicus Marine Service, what points that during the first half of 2026 the Mediterranean experienced an average surface temperature of 18.07 ºC. This makes the semester between January and June the third warmest ever recorded, only surpassed by 2024 and 2025, and the same European organization points out that marine heat waves have affected about 82% of the global ocean, consolidating the Mediterranean as one of the highest risk hotspots worldwide. From space. Satellites have also detected these anomalies that confirm in another way the records that our Mediterranean is facing. Specifically, the ESA recorded on June 29, 2026 that the Mediterranean suffered anomalies in its surface temperature of up to 8 °C above the average for the period 1991-2020. If we are more specific, the wildest temperature increases were located off southern France and around the islands of Corsica and Sardinia, as well as on the Italian peninsula. Globally, Copernicus detected that on June 30 the global sea surface temperature anomaly was +0.5 °C, the highest value ever recorded for that calendar date. All this goes hand in hand with a suffocating atmospheric context, since the Copernicus C3S service documented that June 2026 was the second hottest June globally, reaching an average temperature of 16.54 °C, which is 1.39 °C above the pre-industrial level. The Mediterranean takes the worst part. The average temperature in the Mediterranean area has already risen approximately 1.5 °C since the pre-industrial era and this warming is progressing at a rate 20% faster than the global average. These figures are very serious, since future projections require urgent action, since it is expected that the Mediterranean could warm up to 5.6 ºC by the year 2100, varying depending on the final volume of our emissions. In Xataka | AEMET says it bluntly: in the Mediterranean it no longer makes sense to talk about a “tropical night” because almost all of them are.

Morgan Stanley has almost doubled its 2026 shipment forecasts

by

When we think of humanoid robots, it is easy for the first name that appears to be Optimus. Tesla has managed to install its robot in the technological imagination before even turning it into a product that anyone can buy. But that is precisely the nuance that makes this story interesting: while the robot from the firm led by Elon Musk is still awaiting public sale, some Chinese manufacturers are already closer to specific commercial uses. What we have seen at fairs, events and first deployments points to a career that is beginning to be measured less by promise and more by deployment. Morgan Stanley’s jump. The clearest signal comes from the US bank. Morgan Stanley has raised for the second time this year its forecast for shipments of humanoid robots in China and wait that 50,000 units are reached in 2026. The figure almost doubles its previous estimate, located at 28,000 units, and leaves the first forecast from January, when it spoke of 14,000, even further away. The adjustment is not minor: in a few months, the entity has gone from a cautious expectation to a much more ambitious reading of the pace that the sector is taking. The small print. Morgan Stanley’s forecast does not mix all scenarios. The calculation includes only external sales and leaves out robots produced for prototypes, pre-sales tests or internal use, an important nuance when we talk about an industry still in the initial deployment phase. The bank also estimates that the Chinese humanoid market will reach $2 billion in 2026 and grow to $15 billion in 2030. By then, its forecasts point to 446,000 annual shipments. The change of pace. Morgan Stanley attributes this revision to a combination of factors that go beyond investor interest. In a note collected by CNBCSheng Zhong, an analyst at the entity, summarizes it this way: “Commercial verification, political support and supply chain response point to faster adoption of humanoids in China.” The phrase well summarizes the substance of the matter: we are not just talking about robots that generate attention at a fair, but also about commercial signals, public support and suppliers capable of responding. Where is the success? The bank is seeing clearer signals in factories and logistics, but also in unattended stores, interactive business services, restaurants and convenience stores. It makes sense: these are scenarios where tasks can be better defined, the environment is more controllable, and the economic return is easier to measure. The long-term scale. The background context is broader than this year’s review. Morgan Stanley Research estimated that the global humanoid market could exceed $5 trillion by 2050, including sales, supply chains, repair, maintenance and support. He also projected more than 1 billion humanoids in use by then, with about 90% destined for industrial and commercial tasks. The idea fits with what we are seeing in China: not just AI models on screen, but physical systems capable of acting in real environments. Images | UBTECH In Xataka | We believed that Adobe was threatened with death by AI. It turns out that it is one of the few companies that is making money from it

Someone with a hairdryer “broke” Polymarket weather forecasts and pocketed $34,000

by

On April 5, a Polymarket user with the name “xX25Xx” bet $119 that the temperature in Paris would exceed 18ºC that day. Shortly afterwards the temperature recorded by the Metéo-France network sensor at Charles de Gaulle airport unexpectedly rose several degrees. That caused xX25Xx to cash out $21,398 for profits. Then something even more striking happened: no other sensor in Paris recorded that rise, and the user had already deleted his account. French police are investigating whether someone physically manipulated the sensor to win the bet. As? Easy. The “crime” weapon according to the forums. In Polymarket’s Discord channels, the “traders” themselves began to share theories of all kinds after hearing the news. AI-generated images were also shared on Twitter showing how someone with a hair dryer could have modified the sensor located near Charles de Gaulle airport in Paris. Multiple users They aimed for the “cordless hair dryer trick”, although it would have also been possible to achieve the same thing with a lighter. There’s the bet: from $119 to more than $21,000. Source:Polymarket The temperature did not rise. The analysis of the French company Bubblemaps revealed that no other meteorological sensor in Paris recorded the temperature rise that the Charles de Gaulle sensor recorded. The anomaly was therefore perfectly located, and the French national meteorological service, Metéo-France, announced that had filed a lawsuit due to manipulation of its data processing sensors. Both the sensor analysis and the data led to a clear conclusion and the French police are now investigating the matter. The Bubblemaps analysis revealed that this temperature peak experienced in a specific sensor was not experienced in the rest of the weather sensors in Paris. Source: Bubblemaps. It was not an isolated incidenteither. What happened on that occasion had actually happened other times. On April 6, the Charles de Gaulle sensor recorded a rise of four degrees Celsius in 12 minutes despite other sensors showing lower figures. A Polymarket user who had bet on higher than normal temperatures on that specific day won almost 30,000 euros. The pattern repeated itself on April 19. Three different Polymarket wallets won more than $280,000 in total by betting that the temperature in Paris would reach 19ºC on April 15. The real problem. The most striking thing about this event is not being able to use a hairdryer to win $20,000, but the fact that Polymarket has a single physical sensor in Paris as a data source for those temperatures. This means that anyone with physical access to said sensor – knowing it is the right one – can manipulate it without problems. There is no verification or redundancy in data sources, and here Polymarket has a notable underlying problem with bets that can be manipulated really easily. A more worrying pattern. The dryer case is a clear example of a new category of crime that these “prediction” markets have created. In recent months we have discovered how there have been investors in Polymarket who have managed to win large sums of money by betting on events in which there was a clear suspicion of insider information. It happened with the pardons that Biden granted before leaving the presidency, with the capture of Nicolás Maduro in Venezuela and with the moment in which would announce ceasefire in Iran. In all of those moments, someone knew something before the market and took advantage of it. Polymarket as oracle of the financial world. The disturbing thing is that Polymarket is becoming a tool that is being used by financial and investment companies like the prestigious Goldman Sachs. She and several investors use Polymarket data for their own operations, but if the platform’s data is as manipulable as it seems, that information is contaminated from start to finish. Image | Sunny River generated by AI In Xataka | If you think you can beat a betting house in the long term, we have bad news: they have you in from the beginning.

Long-term forecasts return rain to Spain

by

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

by

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

by

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

Log In

Forgot password?

Forgot password?

Enter your account data and we will send you a link to reset your password.

Your password reset link appears to be invalid or expired.

Log in

Privacy Policy

Add to Collection

No Collections

Here you'll find all collections you've created before.