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Home

News

News

News

Photo Gallery

Events

Special Report

Spotlight

Interview

Story

Service

News

Highlight

Disaster Prevention and Mitigation

Early Warning

Agricultural Service

Weather Modification

Industry Service

Products

Forecast

News

Highlight

High-Impact Weather Forecasting

Numerical Weather Prediction

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World Meteorological Day 2026

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Beautiful China丨Nyingchi: White clouds swirl around snow-capped peaks

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In pics: The aurora in Hulunbuir, Inner Mongolia

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News

China’s Swarm Drones Complete First Full-process Three-Dimensional Observation of Typhoon Passage

As Typhoon Noul approached, starting on 24 July, the Special Meteorological Support Technology Research Centre of the Chinese Academy of Meteorological Sciences (CAMS) of China Meteorological Administration (CMA), joined hands with Shenzhen National Climate Observatory (Shenzhen Astronomical Observatory) to conduct China's first observation experiment using swarm drones for high-frequency, multi-dimensional measurements throughout the typhoon landfall process.

2026 World AI Conference Meteorological Forum Held in Shanghai

On July 17, the 2026 WAIC Meteorological Forum was held in Shanghai. Centered on the theme "AI Empowering Early Warnings for All in Response to Climate Change", the Forum shared cutting-edge global technologies in meteorological AI, shared the latest outcomes of MAZU-China Intelligent Meteorological Early Warning Solution.

Events

18

Aug, 2026

Third session of the WWRP PCAPS Steering Group

24

Aug, 2026

19th session on the World Weather Research Programme Scientific Steering Committee

Global Weather

30

07, 2026

Global weather | Heavy Rainfall in India and the Indochina Peninsula

CMA launched MAZU, a Joint Action for Early Warnings for All

During the opening ceremony of the World Artificial Intelligence Conference (WAIC) on July 26, the China Meteorological Administration (CMA) launched MAZU, a Joint Action for Early Warnings for All, to build an Early Warning Service Network and to share practical experience and technological achievements with global partners.

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Charting the Winds of Change: China's local Meteorological Innovation Connects ASEAN Trade and Livelihoods in Guangxi

A media and influencer delegation, including journalists from major outlets such as People's Daily and China Daily, as well as China Meteorological News Press, recently visited Nanning and Fangchenggang in Guangxi. The trip aims to explore how meteorological services further promote China-ASEAN practical cooperation.

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International Day for Biological Diversity丨China's local meteorological practice for ecological development in Chongming, Shanghai

May 22 marks International Day for Biological Diversity. This International Day, under the theme “Acting locally for global impact”, a powerful idea is placed at the center: major changes begin on a small, local scale.

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China Tourism Day丨Smart and Tailored Meteorological Services Empower local Cultural Tourism Development

May 19 marks China Tourism Day. Let's gain an insight into how meteorology is empowering local cultural tourism development with smart and tailored services.

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Precise and Smart Meteorological Services Underpin the Successful 6th Asian Beach Games

The 6th Asian Beach Games (ABG) was successfully held in Sanya, Hainan from April 22 to 30, with more than 1,600 athletes from 45 countries and regions taking part in the events. Meteorological departments of Hainan, China have delivered tailored meteorological services to the event and scored stellar outcome.

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Disaster Prevention and Mitigation

Early Warning

Agricultural Service

Weather Modification

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High-Impact Weather Forecasting

The National Meteorological Centre (NMC) undertakes the responsibility of issuing forecasts and warnings for 13 different types of hazardous weather conditions within the next 24 hours. These include typhoons, heavy rain, severe convective weather, blizzards, cold waves, gales at sea, sandstorms, low temperatures, high temperatures, frosts, ice storms, heavy fog, and haze. Additionally, NMC collaborates with the departments of natural and water resources to issue warnings for 4 categories of meteorological disasters, which are floods in small and medium-sized rivers, flash floods, geological disasters, and agricultural meteorological disaster risks.
In recent years, NMC has continuously optimized and improved its dynamic tracking of heavy rain, fine-grained analysis of extreme events, and core forecasting techniques. As a result,the accuracy of heavy rain forecasts has increased annually under various lead times. Based on the intelligent grid precipitation and meteorological disaster risk warning, the small and medium-sized river, flash flood, and geological disaster warning operational system has also been continuously improved. A distributed hydro-meteorological model and a disaster risk model based on the hydrological model at the basin level have been constructed, effectively enhancing the guidance capability for hydro-meteorological operations at all levels of weather stations.

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Numerical Weather Prediction

Through continuous research and development of core technologies, China Meteorological Administration (CMA) has steadily improved the performance of its numerical weather model (NWP) models, and has completed the research and development of the CMA Global Assimilation Forecasting System (CMA-GFS) with a resolution of 12.5 kilometers, the CMA Regional Numerical Forecasting Model with a resolution of 1 kilometer and a one-hour update (CMA-MESO), and has established an ensemble forecasting system with a resolution of 50 kilometers for the whole world, and a resolution of 10 kilometers for the Chinese region.
Climate models have been developing in CMA since 1995. The first-generation climate model was developed from 1995 to 2004, namely Beijing Climate Center ocean-atmosphere Coupled Model BCC-CM1.0. This model was used for seasonal climate prediction in China. During 2005-2011, a new fully-coupled climate (BCC-CSM) was developed.

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Grid Forecasting

Based on multi-source and multi-scale numerical model forecasts, supplemented by enhanced observations across the country and the fused real-time analysis field of China, the Central Meteorological Observatory utilizes new post-processing techniques such as machine learning and artificial intelligence to construct a comprehensive product system. This system includes minute-level rolling nowcasting, hourly updated short-term forecasts, scheduled short-to-medium term forecasts, and daily extended-range forecasts at a national resolution of 5 kilometers and a time scale of 0-30 days with intervals of 10 minutes/1 hour/3 hours/12 hours. Globally, forecasts are provided at a resolution of 10 kilometers and a time scale of 0-10 days with intervals of 1 hour/3 hours. The seamless intelligent digital grid forecasting product system has been made available to more than 10,000 cities worldwide, offering accurate point-to-point forecasting services. Validated results show that the grid forecast accuracy is significantly better than mainstream raw model forecasts at home and abroad, making it advantageous compared to similar international forecast products.

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Climate Projection

CMA has fully developed climate event forecasting services. Operational capacity building has been conducted for significant climate events during the East Asian summer monsoon, including monitoring and forecasting key circulation patterns and the onset and development processes of winter/summer monsoons. Monitoring and forecasting products have been established for the pre-flood season in South China, the plum rain, the rainy season in North China, and the autumn rain in Western China,so as to establish a comprehensive operation for the monitoring, diagnosis and forecasting of the rainy season process. Sub-seasonal to seasonal forecasting products have been developed for the key atmospheric circulation systems influencing the early or late onset of various rainy seasons, establishing objective forecasting services for climate events at the sub-seasonal to seasonal timescale.

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Climate Model

The China Multi-Model Ensemble Prediction System (CMME), developed by the Beijing Climate Centre, is an extensible climate prediction system that integrates forecast data from multiple domestic and international mainstream climate models. The system consists of four subsystems that provide monthly-seasonal, sub-seasonal, climate phenomena prediction and prediction verification.
The monthly and seasonal prediction subsystem includes 9 domestic and international models with an atmospheric horizontal resolution of 1°x1° and oceanic horizontal resolution of 1°x1°. It provides deterministic and probabilistic prediction products for basic climate elements such as temperature, precipitation, and sea surface temperature on a monthly and rolling seasonal basis for the next 6 months.
The sub-seasonal prediction subsystem consists of three models with a horizontal resolution of 1.5°x1.5°, capable of providing forecasts for the next 15-60 days or 3-12 "hou". It offers rolling forecast products for basic climatic elements at 5 days intervals, every half a month, and at monthly scales.

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Information System

CMADaas, the cloud-based meteorological big data platform, is a "processing plant" for China's massive meteorological data, which comprehensively manages and provides meteorological "data, computing power and algorithm" resources, and supports "cloud + terminal" meteorological operations.
The meteorological integrated real-time monitoring system -"Tianjing", realizes the intensive national meteorological integrated monitoring and operation and maintenance, which adopts vivid forms of expression to visually present the national meteorological information resource capacity and operation status, and system operation status, etc., and the whole process of data flow, so as to explicitly display the national meteorological informatization operation.
"Tianheng Tianyan" is a comprehensive meteorological observation product system integrates weather radars, wind profiles, cloud radars, microwave radiometers, large-scale unmanned aerial vehicles, and data related to lightning, water vapor, ground, sounding, ecology, atmospheric composition, oceans and other multi-source data information, which is characterized with diversified observations, and massive and informative data.

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