Vietnam’s Ministry of Agriculture and Environment is leading the way in harnessing the power of AI to enhance its forecasting capabilities. According to ministry representatives, AI-powered forecasting models will significantly improve accuracy and reduce the time needed to issue warnings, ultimately giving communities more time to prepare and respond to potential threats.
Citing the World Meteorological Organization’s (WMO) message for World Meteorological Day 2025, a ministry representative emphasized the cross-border nature of hydrometeorological issues and natural disasters. Global coordination and data sharing are essential to effectively address these challenges.
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| AI is set to revolutionize disaster preparedness by providing communities with crucial extra time to implement response measures. |
The WMO underscores the transformative impact of new technologies, including AI, on early warning systems for natural disasters. By investing in these systems, WMO member countries like Vietnam can access real-time meteorological and hydrological data, leading to more accurate forecasts and timely warnings.
In recent years, AI has proven its worth in this context. For instance, the ability to digitize and store vast historical climate data has improved long-term forecast accuracy and informed strategies to tackle climate change. Vietnam is now leveraging AI in storm, rainfall, and rare irregular phenomena predictions.
The National Center for Hydro-Meteorological Forecasting has made strides by incorporating AI into its storm intensity forecasting models. Initial results show increased accuracy over traditional methods, and the model will be operational during the 2025 storm and flood season.
Furthermore, the center is exploring AI’s potential in hydrological forecasts and flood and inundation predictions. These forecasts consider various factors, including observations, natural elements, and reservoir operations.
However, the meteorological and hydrological sector faces challenges regarding AI implementation. It requires substantial investment in information infrastructure and financial resources, as well as a skilled IT workforce. Currently, there is a shortage of AI talent, particularly in specialized fields such as meteorology and hydrology, and retaining such experts is difficult with the current remuneration structures. Additionally, the computational demands of AI call for costly high-speed chips.
Nevertheless, given the critical role of science and technology in addressing complex climate change, it is imperative for countries to embrace and invest in these advancements. The application of AI in forecasting is not just crucial but also urgent.
‘Embracing Green Vietnam: A 2025 Vision’
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The Green Revolution: Reducing Emissions in Livestock Farming
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The Powering Vietnam’s Growth: AI and Semiconductor Symposium 2025
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Denmark Backs Vietnam’s Sustainable Development Agenda
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