This dataset collected hourly ground ozone observation data (over 60000 records), meteorological data, remote sensing products, and socio-economic information, and applied Long Short Term Memory (LSTM) recurrent neural network to plot the hourly time step and 0.1 ° of China's surface ozone concentration data (HrSOD) for 0-1 years × Resolution of 2005.2020 °. The daily data is a NetCDF file with the file name "YYYYMMDD. nc", where "YYYY", "MM", and "DD" refer to the year, month, and day of the file.
This data collected hourly ground ozone observation data (over 60000 records), meteorological data, remote sensing products, and socio-economic information.
Apply Long Short Term Memory (LSTM) recurrent neural network at 0.1 ° × A resolution of 0.1 ° was used to plot hourly surface ozone data (HrSOD) in China from 2005 to 2020.
The data quality is good.
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CSTR:11738.11.NCDC.ZENODO.DB4152.2023
10.5281/zenodo.7096934