Meteorological data refers to the data that records and analyzes meteorological phenomena and meteorological changes, including air temperature, precipitation, wind speed, humidity, air pressure, ground temperature, air quality and other parameters. Meteorological data are widely used in many fields such as agricultural production, weather prediction, environmental protection, energy planning and transportation. The following are some typical uses of meteorological data:

1. Meteorological forecasting: Using technical means such as meteorological data and meteorological models to predict and forecast future meteorological conditions in advance, so that the public and the government can take countermeasures to reduce the loss of meteorological disasters.

2. Agricultural production: Meteorological data can help farmers predict and judge the growth trend and growth period of crops, and make scientific crop production plans based on precipitation, temperature and other meteorological information.

3. Energy planning: Meteorological data can help the energy sector predict and plan the production and supply of various energy sources, and effectively coordinate the peaks and valleys of electricity consumption to improve the efficiency of energy utilization and reduce energy waste at the same time.

4. Architectural design: Meteorological data can help architects choose appropriate building materials and design programs to adapt to different climatic conditions and meteorological environments.

Sharing some more useful websites:

1. ncc.cma.gov.cn/cn National Climate Center

2. www.xihe-energy.com?羲和能源大数据平台

3. www.cdc.noaa.gov/public.data? China Meteorological Administration

4, www.edu.cn?中国教育科研计算机网

5, weather.com.cn China Weather Network

6, http://www.emetsoc.org European Meteorological Association

7, http://www.ecmwf.int European Center for Mesoscale Weather Forecasting

8, http://www.ametsoc.org American Meteorological Society

Query steps are also shared:

Step 1: Hsi and home page for geographic location selection. Both single point data and regional average data can be selected

Step 2: Confirm the data source. For historical data, you can choose Hsiwa, European Centre for Medium-Range Weather (ECMWF) or NASA; for forecast data, you can choose German Weather Service (DWS)

Step 3: Input the start and end time of the download you want to query, and you can choose 40 years of history and 7 days in the future

Step 4: Choose the weather data you want to download, and export the data at hourly level

Step 5: If you need to query more data, you can go to "More data" and select the data you want to download. If you need to search for more data, you can "Search Attributes" in "More Attributes"