ARSET - Introduction to Geostationary Satellite Observations for Air Quality Applications in the Western US
A repository for code examples used during the 2025 NASA ARSET In-Person Training "Introduction to Geostationary Satellite Observations for Air Quality Applications in the Western US".
The examples featured in this repository and linked below were produced by or with the assistance of the NASA Atmospheric Science Data Center, and some examples linked below are hosted on their Github. For further examples and tutorials, see the the ASDC Data and User Services Tutorials and Resources page.
Click on the link in the "Exercise" column to open the excercise in Google Colab. Click the link in the "Completed" column to open a completed version of the excercise, where you can see the solutions.
| Day | Part | Title | Exercise | Completed |
|---|---|---|---|---|
| 2 | 2 | Downloading and Interpreting TEMPO Data Programmatically from NASA Earthdata |  |
|
| 2 | 4 | Visualizing TEMPO data through ArcGIS Image Services Programmatically | N/A | |
| 2 | 5 | Use Case: Surface Air Quality Estimation | |
|
| 2 | 6 | Use Case: Ozone Exceedance and Tracking Precursors with TEMPO | |
|
An example notebook for getting TEMPO data and appending it into a CSV file with timestamps and coordinates of interest:
An example CSV file for use with this notebook is available in the github as the "CSV_Test_File.csv" file