Impact of DeepSeek on the Meteorological Sector
Tang Wei
Guo Zhuanzhuan
Li Xin
Li Zhuoran
Lang Hongliang
Zhou Yong
Abstract：Recently,the domestically developed open-source large language model DeepSeek has at-tracted significant global attention,with rapid adoption across vertical sectors——including telecommuni-cations,finance,healthcare,environmental protection,education,and public administration——driven by its technical capabilities and open-source approach.Within meteorological departments,DeepSeek de-ployment solidifies the foundation for self-reliant meteorological science while advancing operational sys-tem intelligence,facilitates precise supply-demand alignment for smart meteorological services,provides novel management tools,and drives industry-scale growth and efficiency gains.Concurrently,it poses challenges to specialized meteorological applications,governance frameworks,and risk management.Therefore,when deploying and applying DeepSeek,it is necessary to strengthen policy guidance and in-stitutional mechanisms,establish an independent,controllable,resilient,and scalable technical support system for AI meteorological applications.In light of the technical features of DeepSeek and the service demands of meteorological services,it should be promoted and applied in an orderly manner.We should flexibly apply various policy tools to strengthen the governance of meteorological applications using large AI models.Drawing on the successful experiences of the Hangzhou Municipal People's Government and DeepSeek Company,a complete meteorological science and technology innovation ecosystem should be created.
Keywords：DeepSeekmeteorologyartificial intelligencelarge-scale AI models
Publication Date：2025-07-30
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：6( 2-7 )