Before, we shared the daily, monthly and year-on-year wind speed data in cities across the country in Excel format (you can check the previous article). After getting the data, many friends asked if we have any data in GIS vector format. we specially processed the data and converted it into GIS vector format (shp format) to share it with everyone! The following is a detailed introduction to the data:
data is divided into three forms: day by day, month by month and year by year:
Year data
First is 001-2022Average wind speed data , each year is a shp file, as shown in the figure:
Let’s take the data from 2022 as an example to preview:
22 average wind speed in cities across the country in 2022 in 2022GIS chart
20 Screenshot of the attribute table of GIS data in cities across the country in 22 years
Monthly data
Let’s take a look at the average wind speed data of 001-2022 . Each year is a shp file. The attribute table of each shp file includes the average wind speed of the 12 months of that year, as shown in the figure below:
Let’s take the data from August 2022 as an example to preview:
June 2022 average wind speed GIS map of cities across the country in June 2022
20222 The attribute table of the monthly average wind speed GIS data of cities across the country
Daily data
Let's take a look at the daily average wind speed data from 001 to 2022 . Each year is a shp file. The attribute table of each shp file includes the daily average wind speed data of 365 days of that year, as shown in the figure:
Let's take the data from August 1, 2022 as an example to preview:
August 1, 2022 Average air wind speed GIS map of cities across the country
2022 daily average wind speed GIS data screenshot
data source
original data is from the National Environmental Information Center (NCEI) under the National Oceanic and Atmospheric Administration (NOAA). The website is: https://www.ncei.noaa.gov/data/global-summary-of-the-day/archive/. The data includes meteorological data from 1929 to 2022. You can download the original data by yourself!
Processing method
The original data we downloaded from the NCEI website are the data of meteorological observation sites. Each site records the day-by-day meteorological indicators. We interpolate (using the inverse distance weight method interpolation) to obtain the national average wind speed grid map based on the latitude and longitude of the meteorological site and the day-by-day wind speed values of the meteorological site. Then, based on the national administrative boundary data and wind speed grid map of prefecture-level cities, we count the day-by-day average wind speed values of each prefecture-level city, and then calculate the month-by-month average wind speed and year-by-year average wind speed!
Notes
1. This data is obtained through the interpolation method. Since the interpolation method is different from the various processing parameters, the data may be slightly different from the minimum temperature data from other sources. This is normal, and I will explain it here!
2. If you use this data in the paper, please write the original data source above from the data source, and please write the processing method above from the processing method!
3. The data has two prefecture-level cities with missing administrative divisions, namely the Macao Special Administrative Region and the Kunyu City, Xinjiang. Hereby explain!
data get
