Use CaseGovernment & Public Sector / Government

Improve weather forecasting accuracy

Improve weather forecasting accuracy using machine learning applied to multiple data sources. The aim is to improve an existing process that is typically already a sophisticated user of computer modelling.

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Risk reduction

Risk reduction - Predictive diagnosis

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Revenue

Revenue - Higher response rates

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Operational Support

Operational Support - Situational awareness

Description

Improve weather forecasting accuracy

Linked Case Studies

Case Study

US National Oceanic and Atmospheric Administration

The US National Oceanic and Atmospheric Administration is using AI to improve real-time decision-making for high-impact weather

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Case Study

Stanford University

Stanford University researchers improve weather forecasting by over 40% on historic data with machine learning

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Case Study

University of Essex

University of Essex researchers compare machine learning models for improving weather condition classification of images

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