GM introduces new software platform Ultifi as automaker shifts business model
In its first big move to expand into a software company, General Motors is introducing a new software platform it created called Ultifi.
Sep 30, 2021
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In its first big move to expand into a software company, General Motors is introducing a new software platform it created called Ultifi.
Sep 30, 2021
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A team of researchers at Google's DeepMind, working with a group at the U.K.s Met Office, has applied their knowledge of deep learning methods to the science of "nowcasting"—predicting whether it will rain in a given place ...
The exponential growth in computer processing power seen over the past 60 years may soon come to a halt. Complex systems such as those used in weather forecast, for example, require high computing capacities, but the costs ...
Feb 13, 2020
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Greener data processing requires systems that work smarter, faster, and are more energy efficient. Researchers from the Norwegian University of Science and Technology (NTNU) have developed a tiny piece of super-smart hardware ...
Dec 19, 2023
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A team of researchers working at Google's Mountain View research center has developed a deep-learning-based weather forecasting tool for predicting short-term weather events. They have written a paper describing their "nowcasting ...
Microsoft Corp. has announced on its blog that it has added new features to Microsoft Teams, a group chat competitor to Zoom. In its announcement, Microsoft outlined the new features and included screen grabs to demonstrate ...
The National Center for Atmospheric Research (NCAR) is using artificial intelligence to run experimental forecasts for hail, tornadoes, and intense winds—storm hazards that can cause serious damage but that are notoriously ...
May 26, 2021
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Researchers working on smart irrigation systems have developed a way to choose the most accurate weather forecast out of those offered in the week leading up to a given day.
Sep 2, 2021
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The transition to renewable energy makes it more important for power producers to get accurate information about the weather that is to come. Climate scientists are currently investing considerable effort and resources to ...
Feb 18, 2020
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To satisfy demand and manage consumption peaks, electricity suppliers have to be able to predict grid loads. A team of scientists from Zurich University of Applied Sciences has developed an artificial intelligence system ...
Apr 24, 2023
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Weather forecasting is the application of science and technology to predict the state of the atmosphere for a future time and a given location. Human beings have attempted to predict the weather informally for millennia, and formally since at least the nineteenth century. Weather forecasts are made by collecting quantitative data about the current state of the atmosphere and using scientific understanding of atmospheric processes to project how the atmosphere will evolve.
Once an all human endeavor based mainly upon changes in barometric pressure, current weather conditions, and sky condition, forecast models are now used to determine future conditions. Human input is still required to pick the best possible forecast model to base the forecast upon, which involves pattern recognition skills, teleconnections, knowledge of model performance, and knowledge of model biases. The chaotic nature of the atmosphere, the massive computational power required to solve the equations that describe the atmosphere, error involved in measuring the initial conditions, and an incomplete understanding of atmospheric processes mean that forecasts become less accurate as the difference in current time and the time for which the forecast is being made (the range of the forecast) increases. The use of ensembles and model consensus help narrow the error and pick the most likely outcome.
There are a variety of end uses to weather forecasts. Weather warnings are important forecasts because they are used to protect life and property. Forecasts based on temperature and precipitation are important to agriculture, and therefore to traders within commodity markets. Temperature forecasts are used by utility companies to estimate demand over coming days. On an everyday basis, people use weather forecasts to determine what to wear on a given day. Since outdoor activities are severely curtailed by heavy rain, snow and the wind chill, forecasts can be used to plan activities around these events, and to plan ahead and survive them.
This text uses material from Wikipedia, licensed under CC BY-SA