1. Meteorological forecast: forecast and forecast the future meteorological conditions in advance by using meteorological data, meteorological models and other technical means, 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 according to meteorological information such as precipitation and temperature.
3. Energy planning: Meteorological data can help the energy sector to predict and plan the production and supply of various energy sources, effectively coordinate the peak and valley of electricity consumption, improve energy utilization efficiency and reduce energy waste.
4. Architectural design: Meteorological data can help architects choose suitable building materials and design schemes to adapt to different climatic conditions and meteorological environments.
Share some useful websites:
1, ncc.cma.gov.cn/cn National Climate Center
www.xihe-energy.com? And energy big data platform.
3、 www.cdc.noaa.gov/public.data? China Meteorological Administration
www.edu.cn? China education and scientific research computer network
5.weather.com.cn China Weather Network
6.http://www.emetsoc.org European Meteorological Association.
7.http://www.ecmwf.int European Mesoscale Weather Forecast Center.
8.http://www.ametsoc.org American Meteorological Society.
The query steps are also shared:
Step 1: Select the geographical location on the river homepage. You can choose single point data or regional average data.
Step 2: Confirm the data source. What digital sources, European medium-range weather centers and selections can be used for historical data? The forecast data can be selected from the German Meteorological Bureau.
Step 3: Enter the start and end time of the download you want to query. You can choose 40 years of history and 7 days in the future.
Step 4: Select the required meteorological data, download and export the hourly data.
Step 5: If you need to query more data, you can search for attributes in more attributes.