Traditional Culture Encyclopedia - Weather forecast - What are the recommendations for meteorological data?
What are the recommendations for meteorological data?
Here are some recommended meteorological data resources: 1. China Meteorological Information Network: This website is operated by the National Meteorological Information Center and provides meteorological observation data, forecast products and satellite remote sensing data from all over China. The data here are subject to strict quality control and are suitable for scientific research, education and public reference. 2. Interactive global weather data website: If you need international meteorological data, an interactive website integrating data from several top global forecast models such as ECMWF, GFS and GEF will be a good choice. 3. Publishing platforms for professional meteorological service products: As you can see, these platforms may provide high-value meteorological data products, such as professional forecast and analysis data of specific industries. 4. National Meteorological Science Data Sharing Service Platform: This platform is dedicated to providing data support services for various meteorological disasters, including typhoons, heavy rainfall, tornadoes and hail. 5. Meteorological service business system: This system includes all-round business system from basic information collection to product processing and distribution, which can provide rich data resources. 6.app: an app like ink weather not only provides real-time weather forecast, but also provides historical weather data, life index and so on. 7. Intelligent meteorological platform: This kind of platform usually adopts modern information technology and provides a series of services including data analysis, prediction and early warning. When selecting meteorological data resources, it is important to ensure the accuracy of data, update frequency and reliability of data sources. In addition, the convenience of data use, access rights and cost are also factors to be considered. For specific needs, such as agriculture, aviation, ocean and other fields, special data sets or customized services may be needed.
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