DTN, a global leader in operational decisioning for energy, agriculture, and weather-driven industries, has announced a significant leap in weather forecasting through a strategic collaboration with NVIDIA and Amazon Web Services (AWS). This partnership comes at a crucial time, aiming to reduce weather-related economic losses while offering businesses the ability to optimize operations using more reliable, high-resolution forecasts.
By leveraging the strengths of each partner—DTN’s deep meteorological expertise, NVIDIA’s cutting-edge AI capabilities, and AWS’s scalable cloud infrastructure—this collaboration promises unprecedented improvements in forecast accuracy, speed, and granularity, surpassing traditional forecasting methods.
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“For decades DTN has been at the forefront of weather innovation applied to specifically meet industry challenges,” said Renny Vandewege, GM of Weather and Climate Intelligence at DTN. “This collaboration opens up a new frontier of operational decisioning for organizations operating in weather-sensitive environments.”
DTN enhances its forecasts using a sophisticated ensemble of public, private, and proprietary models, generating industry-specific, high-resolution predictions. The company now integrates NVIDIA Earth-2’s high-performance AI weather models into its forecasting engine. By using the NVIDIA Earth-2 open-source climate digital twin platform, DTN accelerates predictions with interactive AI-based weather simulations, delivering faster and more actionable insights.
“By integrating NVIDIA Earth-2 into the DTN advanced forecasting engine, we’re enabling industries to access faster, more precise, and more actionable weather insights,” said Dion Harris, Senior Director of HPC and AI Infrastructure at NVIDIA. “This collaboration showcases how Earth-2 digital twin technology can empower experts like DTN to deliver specialized forecasts that help businesses adapt to a changing climate and make better decisions in real time.”
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AWS underpins this collaboration with a robust cloud foundation, utilizing Amazon EC2 instances and AWS Batch to scale operations efficiently. Since 2020, AWS has hosted DTN’s global forecasting system, reducing data latency and doubling the frequency of high-resolution forecast generation. The integration of NVIDIA platforms on AWS ensures AI-powered models run seamlessly at supercomputing scale.
“AWS provides the scalable, high-performance infrastructure needed to support today’s most demanding data and AI workloads,” said Ian Colle, Director of Advanced Computing and Simulation at AWS. “By enabling DTN and NVIDIA to run advanced weather models on a unified cloud platform, we’re helping deliver faster, more precise forecasts that businesses and communities can rely on.”
Industries are already benefiting from precise AI-driven forecasting. Farmers gain hyper-local weather insights to plan irrigation, pesticide application, and harvest schedules. Refinery operators can anticipate temperature changes to minimize downtime, while energy managers predict grid stress in advance. Fleet operators adjust routes around storms in real time, reducing delays and enhancing safety.
“This collaboration arrives at a critical time, potentially reducing weather-related economic losses while creating new opportunities for businesses to optimize their operations around more reliable and granular forecasts,” Vandewege added. “The ultimate outcome will be a next-generation weather intelligence platform that transforms how organizations understand, prepare for, and respond to weather conditions across the globe.”
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