Numerical weather forecasting company (NWP) Climavision has released its new one Horizon AI range of products for the sustainable energy sector.
The company has steadily expanded the application of machine learning and AI to increase the accuracy and reach of its prediction models. Now, with the recent acquisition of Intersphere, provider of AI-driven sub-seasonal to seasonal (S2S) forecasts, Horizon AI will fully integrate Climavision’s offering.
“Bringing a complete range of solutions like this to market is an important development for the industry and for our customers, but it is a very natural step for us as a company,” said Chris Goode, CEO of Climavision. “We have spent the last three years developing the team and technology to deliver best-in-class products across a range of applications and forecast periods. We are happy to be able to combine them all in one comprehensive offering.”
While much of the current buzz about AI-driven weather forecasting is based on possibilities in the distant future, Horizon AI delivers four unique, valuable products on all time scales to customers today:
- Horizon AI worldwide. This medium-term forecast focuses on large-scale events up to 15 days. This is especially useful when planning for the effects of tropical weather.
- Horizon AI-RENT. Detailed short-range models up to a 1 km grid, predicting severe, high-impact weather events up to five days in advance. The level of detail makes a crucial difference in complex terrain.
- Horizon AI point. Point-based, highly accurate mid-term forecasts up to 15 days, combining more than 100 NWP models and sensor data.
- Horizon AI Subseasonal to Seasonal (S2S). Detailed long-range forecasts calculate probabilities and are verified using the most detailed weather observations available. Results are published daily and verified against actual observations, with accuracy consistently 50% higher than publicly available models.
The Horizon AI suite is especially useful for customers because all products can be customized to the needs of specific industries. For example, Horizon AI S2S can generate probability scenarios tailored to the renewable energy market, with numerous variables down to units as small as an individual wind or solar farm – in time frames up to two years for some parameters.
“Bringing all of these offerings under one umbrella allows our customers to plan across the entire range of weather forecast horizons,” said Ben Toms PhD, Climavision’s VP AI for Weather. “Each of the Horizon AI products leverage our deep expertise in science and technology to deliver the insights most relevant to each customer – providing an edge in decision making.”
News item from Climavision
