The UAE is taking a significant step in its national agentic AI strategy by deploying the country's first agentic AI assistants for weather forecasting. The National Center of Meteorology (NCM) has launched the system, which is designed to augment meteorologists' work by automating routine analytical tasks while keeping human experts responsible for all operational decisions.
AI Agents for Weather Forecasting
The system consists of multiple autonomous yet collaborative agents operating through a unified platform, supporting specialists in monitoring weather data, analyzing forecasts, generating operational reports, and assisting early warning activities.
The first phase introduces two AI assistants—Al‑Rasid and Forecaster Assistant—into NCM's operational forecasting centers. Al‑Rasid functions as a continuous monitoring agent, processing information from weather observation stations, radar systems, meteorological satellites, seismic monitoring networks, air quality stations, and other operational data sources. It analyzes incoming data in real time, flags anomalies requiring expert attention, and generates national weather briefings alongside short‑term outlooks to provide forecasters with a consolidated operational view.
The Forecaster Assistant focuses on numerical weather prediction. It monitors forecasting models, validates incoming datasets, compares outputs across multiple global forecasting systems, evaluates forecast uncertainty, and prepares preliminary weather and marine bulletins.
The system also generates dashboards highlighting potential weather hazards, enabling meteorologists to spend less time on manual processing and more time interpreting complex weather scenarios.
Abdulla Ahmed Al Mandous, Director General of the National Center of Meteorology and President of the World Meteorological Organization (WMO), said the adoption of agentic AI technologies embodies the UAE leadership's vision of harnessing advanced technologies to build a more efficient and future‑ready government ecosystem. He added that AI is a knowledge partner that enhances specialists' capabilities by providing advanced tools for data analysis, risk assessment, and timely decision‑making, while human expertise remains at the core of operations.
By approving a broader roadmap to expand autonomous AI across its operations, NCM signals a commitment to embed agentic AI into public services, aiming to improve decision‑making, operational efficiency, and service delivery across the UAE's most data‑intensive functions.
Frequently asked questions
What is the UAE's national agentic AI strategy?
The UAE's national agentic AI strategy involves embedding agentic AI into public services to improve decision‑making and operational efficiency, with the first phase deploying AI assistants for weather forecasting.
How will AI agents help meteorologists in the UAE?
AI agents will automate routine analytical tasks, allowing meteorologists to focus on interpreting complex weather scenarios and making decisions, while providing advanced tools for data analysis, risk assessment, and timely decision‑making.
What are the names of the two AI assistants launched by the National Center of Meteorology?
The two AI assistants launched by the National Center of Meteorology are Al‑Rasid and Forecaster Assistant.
What is the role of Al‑Rasid in the UAE's weather forecasting system?
Al‑Rasid is a continuous monitoring agent that processes information from weather observation stations, radar systems, meteorological satellites, seismic monitoring networks, air quality stations, and other operational data sources, analyzes incoming data in real time, flags anomalies, and generates national weather briefings and short‑term outlooks.
How will the adoption of agentic AI technologies benefit the UAE government ecosystem?
The adoption of agentic AI technologies will help build a more efficient and future‑ready government ecosystem by providing advanced tools for data analysis, risk assessment, and timely decision‑making while keeping human expertise at the core.
What is the vision of the UAE leadership in adopting agentic AI technologies?
The UAE leadership's vision is to harness advanced technologies to build a more efficient and future‑ready government ecosystem, as stated by Abdulla Ahmed Al Mandous.
