Step 1: Identify the Required Data Type

GOSAT provides different levels of data:

• Level 1B: Radiance data (requires further processing)
• Level 2: Column-averaged dry air mole fraction of CO₂ (XCO₂) – recommended for your study
• Level 3: Gridded global CO₂ distribution
• Level 4: Model-simulated global CO₂ fluxes

For analyzing pre and post-COVID trends in India, Level 2 and Level 3 CO₂ data will be the most useful.

Step 2: Register for GOSAT Data Access

Step 3: Select the Data for India

Step 4: Download the Data

Step 5: Process and Analyze the Data

To analyze CO₂ trends over India:

• Use Python (xarray, matplotlib, numpy, pandas) or MATLAB to visualize trends.
• Compare Pre-COVID vs. Post-COVID CO₂ concentrations.
• Identify seasonal variations and urban vs. rural CO₂ levels.

Step 6: Compare with Other Data Sources

For a more comprehensive study, you can:

• Cross-check with OCO-2 satellite data (NASA Earthdata)
• Use ground-based CO₂ observations from CPCB (India’s Central Pollution Control Board).

Additional Resources

• GOSAT Data Portal: https://data2.gosat.nies.go.jp/
• GOSAT Data Documentation: https://www.gosat.nies.go.jp/en/
• NASA Earthdata OCO-2 CO₂: https://earthdata.nasa.gov/

Summary

Register & Log in at GDAS Select CO₂ Data (Level 2 or Level 3) Filter for India & Download Process & Analyze Trends Compare Pre vs. Post-COVID

This approach will help in monitoring and assessing CO₂ levels in India before and after COVID-19.