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Title

Israel's Meteorological Service Predicts the Weather Using NVIDIA Earth-2

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…the instructions how to enable JavaScript in your web browser. Cross Industries Israel's Meteorological Service Predicts the Weather Using NVIDIA Earth-2 Learn More Objective The Israel Meteorological Service (IMS) is Israel's nation…

Description

The Israel Meteorological Service integrated an AI weather model called F3, powered by NVIDIA Earth-2 and NVIDIA PhysicsNeMo (including the CorrDiff neural network), into its forecasting system to achieve hyperlocal 2.5-kilometer resolution precipitation forecasts. F3 achieved 90 percent lower computational costs compared to running a classic non-AI numerical weather prediction model on a CPU cluster, delivering forecasts in minutes rather than hours, and saved 20-30 percent of the Tel Aviv-Yafo Municipality's preparedness budget for things like urban flood safety. CorrDiff was trained to emulate IMS's regional high-resolution ICON model using low-resolution ECMWF IFS input, enabling four high-resolution forecasts per day. Partners including the Israeli Police, the National Fire and Rescue Authority, the Ministry of Transportation and the National Road Company have adopted the forecasts, and IMS used F3 to issue a high-resolution flood map during a January storm that dropped 150 millimeters of rain in six hours.

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…the cloud, or at national data centers. Weather Predictions With NVIDIA Earth-2 IMS adopted NVIDIA Earth-2 to develop a high-resolution weather forecasting system specifically designed for precipitation prediction, known as F3. It has 90 percent lower computational costs compared to non-AI systems while de…
…ts NVIDIA Earth-2 NVIDIA PhysicsNeMo Key Takeaways Massive Compute Acceleration Achieved 90 percent computational savings compared with running a classic numerical weather prediction model without AI on a CPU cluster. Best-in-Class Precipitation Accuracy Enabled hyperlocal 2.5-kilometer resolutio…

Company

Israel Meteorological Service (IMS)

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…ological Service Predicts the Weather Using NVIDIA Earth-2 Learn More Objective The Israel Meteorological Service (IMS) is Israel's national weather forecasting agency. They're responsible for providing critical meteorological services to protect l…

Country

Israel

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…ological Service Predicts the Weather Using NVIDIA Earth-2 Learn More Objective The Israel Meteorological Service (IMS) is Israel's national weather forecasting agency. They're responsible for providing critical meteorological services to protect l…

Problem

IMS is located in a Mediterranean climate zone with diverse weather patterns, from intense flooding to fire seasons; as the climate continues to change, predicting the weather is becoming increasingly difficult. Traditional, non-AI weather models typically take hours to run using large supercomputing clusters and require a huge amount of compute time to generate predictions.

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…nicipality's preparedness budget Sporadic Weather Changes Mapped With AI Models IMS is located in a Mediterranean climate zone with diverse weather patterns, from intense flooding to fire seasons. As the climate continues to change, predicting the weather will become increasi…

Business value

F3 achieved 90 percent lower computational costs compared to running a classic non-AI numerical weather prediction model on a CPU cluster, delivering forecasts in minutes rather than hours, and saved 20-30 percent of the Tel Aviv-Yafo Municipality's preparedness budget for things like urban flood safety. Partners including the Israeli Police, the National Fire and Rescue Authority, the Ministry of Transportation and the National Road Company have adopted the forecasts. IMS used F3 to issue a high-resolution flood map during a January storm that dropped 150 millimeters of rain in six hours, giving government agencies the ability to shut down roads and avoid casualties.

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F3's Earth-2-powered weather predictions have saved 20–30 percent of the Tel Aviv-Yafo Municipality's preparedness budget allocated for things like urban flood safety.

Solution

IMS integrated an AI weather model called F3, powered by NVIDIA Earth-2 and NVIDIA PhysicsNeMo (including the CorrDiff Corrector Diffusion neural network), into its forecasting system. CorrDiff was trained to emulate IMS's regional high-resolution ICON model using low-resolution ECMWF IFS input, enabling four high-resolution forecasts per day at hyperlocal 2.5-kilometer resolution. With Earth-2's open source software and open science models, IMS built a full stack across hardware and software that it runs as a sovereign capability.

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With Earth 2's open source software and open science models, IMS built a full stack across hardware and software, which they run as a sovereign capability.

Technology

NVIDIA Earth-2, NVIDIA PhysicsNeMo, CorrDiff

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…er The Israel Meteorological Service (IMS) Topic Simulation / Modeling / Design Products NVIDIA Earth-2 NVIDIA PhysicsNeMo Key Takeaways Massive Compute Acceleration Achieved 90 percent computational sa…
…Givati Director General IMS Achieving Higher Resolution Forecasts With CorrDiff IMS specifically utilized NVIDIA Earth-2 Corrector Diffusion (CorrDiff), a neural network model that improves the resolution of weather forecasts without sacrificing accuracy. The team trained CorrDiff to emulate their regional high-resolution ICON model…

Deployment options

On-premise

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…e and open science models, IMS built a full stack across hardware and software, which they run as a sovereign capability. They’re now able to issue hyperlocal 2.5-kilometer resolution forecasts, allow…

Industry

Government & Public Sector

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…ological Service Predicts the Weather Using NVIDIA Earth-2 Learn More Objective The Israel Meteorological Service (IMS) is Israel's national weather forecasting agency. They're responsible for providing critical meteorological services to protect l…

AI capabilities

Predictive Analytics, Digital Twins & Simulation

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…ed by NVIDIA Earth-2 and GPUs. Customer The Israel Meteorological Service (IMS) Topic Simulation / Modeling / Design Products NVIDIA Earth-2 NVIDIA PhysicsNeMo Key Takeaways Massive Compute Accele…
Capture details
Captured
14 Aug 2026, 09:40 UTC
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