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Quantifying CO2 and NO2 emissions of cities and power plants from satellite observations
In this project, you will quantify the CO2 and NO2 emissions of cities and power plants from the new Sentinel-5P TROPOMI satellite that provides high-resolution images of NO2 emission plumes.
Cities and power plants are responsible for a large fraction of human-made CO2 emissions. Their emissions can be quantified from imaging satellites, but CO2 imaging satellites are not available yet. However, current satellites can resolve individual NO2 emission plumes that are strongly correlated to CO2 emissions.
**Key questions**
- How well can we quantify CO2 emissions from NO2 satellite images?
- What is the day-to-day variability of emissions for different sources and regions?
- How well can annual emissions be estimated based on a limited number of individual estimates per year?
**Key tasks**
1. Advance algorithms for estimating CO2 and NO2 emissions from satellite images.
2. Apply algorithms to quantify emissions of cities and power plants worldwide.
3. Analyze day-to-day variability of emissions and its impact on annual emission estimates.
Cities and power plants are responsible for a large fraction of human-made CO2 emissions. Their emissions can be quantified from imaging satellites, but CO2 imaging satellites are not available yet. However, current satellites can resolve individual NO2 emission plumes that are strongly correlated to CO2 emissions.
**Key questions**
- How well can we quantify CO2 emissions from NO2 satellite images?
- What is the day-to-day variability of emissions for different sources and regions?
- How well can annual emissions be estimated based on a limited number of individual estimates per year?
**Key tasks**
1. Advance algorithms for estimating CO2 and NO2 emissions from satellite images.
2. Apply algorithms to quantify emissions of cities and power plants worldwide.
3. Analyze day-to-day variability of emissions and its impact on annual emission estimates.
