Description:
This notebook shows the user how to access the DSCOVR_EPIC_L2_TO3_03 dataset archived at ASDC using the Open-source Project for a Network Data Access Protocol (OPeNDAP) web service and how to process the total ozone column variable.
The user can edit the desired Temporal Extent as input, and the code will find the granules available for that specific Temporal Extent. The notebook selects the ozone variable for analysis; however, users can easily select another variable for analysis. The user can also select the desired Spatial Extent and the desired grid box size, and the notebook will grid the O3 columns and compute daily averages.
https://github.com/nasa/ASDC_Data_and_User_Services/blob/main/DSCOVR/How_to_Access_DSCOVR_EPIC_L2_TO3_Using_OPeNDAP_with_Python3_Calculate_Daily_from_instantaneous.ipynb
Example Output:
This notebook shows the user how to access the DSCOVR_EPIC_L2_TO3_03 dataset archived at ASDC using the Open-source Project for a Network Data Access Protocol (OPeNDAP) web service and how to process the total ozone column variable.
The user can edit the desired Temporal Extent as input, and the code will find the granules available for that specific Temporal Extent. The notebook selects the ozone variable for analysis; however, users can easily select another variable for analysis. The user can also select the desired Spatial Extent and the desired grid box size, and the notebook will grid the O3 columns and compute daily averages.
- The notebooks will return a series of images of daily averages as output.
https://github.com/nasa/ASDC_Data_and_User_Services/blob/main/DSCOVR/How_to_Access_DSCOVR_EPIC_L2_TO3_Using_OPeNDAP_with_Python3_Calculate_Daily_from_instantaneous.ipynb
Example Output:
Statistics: Posted by ASDC - ingridgs — Tue Aug 06, 2024 3:11 pm America/New_York