Modernizing the Hydrometeorological Sector: Promises from

(TN&MT) - Currently, approaching artificial intelligence (AI) is not simply the research work of scientists , mathematicians, and information technology experts. AI needs to be approached and applied from a broader perspective: State management, policy, human resources,... including the Meteorology and Hydrology (HTH) industry.

Nowadays, approaching artificial intelligence (AI) is not simply the research work of scientists, mathematicians, and information technology experts. AI needs to be approached and applied from a broader perspective: State management, policy, human resources,... including the Meteorology and Hydrology (HTH) industry.

Many typical studies and applications in AI technology
According to the Department of Hydrometeorological Forecasting Management (General Department of Hydrometeorology), in recent years, the General Department of Hydrometeorology has made the most of resources from support and investment cooperation to contribute to accelerating the goal of modernization and accessing advanced technologies, including AI technology.

The General Department has had many typical studies and applications in AI technology. Specifically, for monitoring, research and development of tools using machine learning models: Logistic Regression Model (LRM), Random Forest (RF) and Decision Tree Classifier (DTC) to increase the accuracy of thunderstorm and lightning forecast information, the Meteorological Station has not put it into professional forecasting applications since 2022.

In addition, the research on building computer vision technology to automatically identify and measure hydrological water levels from observation images has been applied by many units such as the Southern Hydrometeorological Station, the Central Central Hydrometeorological Station, and the Hydrometeorological Monitoring Center.

Forecasters in the hydrometeorological industry are increasingly working in modern scientific and technical environments.

In the field of data information, AI applications have been applied to research image analysis technology to analyze and digitize documents and self-recorded diagrams. However, they have not been combined with machine learning technology to increase the efficiency of accurate data processing.

For forecasting and early warning, the Center for Hydrometeorological Information and Data has conducted research on AI application solutions to identify, support forecasting, and warn of a number of dangerous hydrometeorological phenomena (storms, widespread heavy rain, cold air, floods, and storm-induced sea level rise).

The National Center for Hydrometeorological Forecasting also has a number of research topics such as: Research on building an artificial intelligence system for application in forecasting tropical cyclones in the East Sea and their impact on Vietnam within 3 days; Research on innovation in technology for forecasting sea waves and storm surges within 24 hours using big data processing techniques and machine learning; Research on applying new digital technology to quantitatively forecast extremely short-term rainfall for the midland and mountainous areas of Vietnam.
The Southern Regional Hydrometeorological Station has researched and built an AI-based urban flood/tide monitoring, forecasting and warning system in Ho Chi Minh City; initially researched and applied AI to serve salinity forecasting and piloted it for Soc Trang province...

Proposing solutions to promote AI applications in the field of hydrometeorology
To promote the application of AI in the field of hydrometeorology, the Department of Hydrometeorology Forecasting Management proposed that the General Department prioritize the promotion of ongoing projects, ensuring progress, quality and practical applicability; put completed projects into practical application for evaluation, adjustment, and completion for early implementation into operations; upgrade information technology infrastructure to meet the requirements for AI technology application systems.

Researching the scientific basis and solutions for applying artificial intelligence to identify, support forecasting and warning of some dangerous hydrometeorological phenomena in the context of climate change in Vietnam is an AI research topic of the General Department of Hydrometeorology. The topic ended in 2020, and the products of the topic have been integrated into the professional system at the Hydrometeorological Information and Data Center.

At the same time, research, build, and perfect the standardization of databases on the Big Data technology platform; research and build a system to disseminate forecasting and warning information using AI technology to target the target audience.

In addition, focus on joint training programs and integrate training needs into training programs in programs, projects, topics...; recruit collaborators or official staff with priority support mechanisms for personnel in the fields of science and technology. This is the long-term development direction of the General Department of Hydrometeorology.

In its development orientation, the General Department of Hydrometeorology always pays attention to applying AI technology and improving the effectiveness of AI application in the unit. The General Department determines that applying AI achievements promises to contribute to further improving the quality of monitoring data, the quality of forecasting bulletins and natural disaster warnings of the Hydrometeorology sector in the future.

At the same time, AI application is the key to fast and effective transformation; applied at all levels and objects in command and management.
In the coming time, the General Department will assign the Department of Hydrometeorological Forecasting Management to establish a Steering Committee on AI application, and the Director General will assume the responsibility of Head of the Committee. At the same time, build working groups according to tasks; strengthen coordination, connection, and unification between departments and units; build programs and task clusters on the application of information technology and artificial intelligence in hydrometeorology; build a scientific report on AI application, collect opinions to improve and perfect; plan to train staff and human resources to meet task requirements...

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