APN Researcg Grant Training 1 – Dr Pawan Gupta (NASA)
APN Training March 21-25, 2022
Hybrid – Recording, Live and Q&A Sessions
In partnership with EUMETSAT
NASA ARSET Contact Person – Pawan Gupta (pawan.gupta@nasa.gov)
March 21, 2022 – 11 to 13 MYT
An Inside Look at How NASA Measures Air Pollution – Part 1: Nitrogen Dioxide (NO2)
- List the pollutants that can be observed by NASA satellites
- Find and download imagery for NO2 and aerosols/particles
- Describe the capabilities and limitations of satellite based NO2
- Use case and Interpretation of satellite NO2 data for assessing air quality due to covid related lockdowns
- Recording
- Presentation Slides
- Q&A Transcript
March 22, 2022 – 11 to 13 MYT
Remote Sensing of NO2, OMI Data Products, and Tools – Part 1
- Describe existing satellite capabilities for global NO2 observations
- Describe the current NO2 data products available from the Ozone Monitoring Instrument (OMI) Identify various air quality monitoring applications utilizing OMI NO2 observations
- Perform a data download of OMI and/or TROPOMI data
- Recording
- Presentation Slides
March 22, 2022 – 15 to 17 MYT
Introducing TROPOMI – High Resolution NO2 Observations from Space
- Introduction to Python tools for Tropospheric Monitoring Instrument (TROPOMI) Data
- Read NetCDF file and learn about SDS
- Read and map NO2 data
- Read and extract NO2 data at a location
- Read NetCDF and extract data into ASCII format
- Recordings
- Presentation Slides
- Q&A Transcript
- OMI Python Code & Data
- TROPOMI Python Codes & Data (Aerosol Index, CH4, CO2)
- TROPOMI NO2 Data
- Python Test Code
March 24, 2022 – 11 to 13 MYT
An Inside Look at How NASA Measures Air Pollution – Part 2: Particulate Matter (Aerosols)
- Interpretation of images & maps of aerosols data from satellite
- Describe the capabilities and limitations of satellite aerosol observations
- Find and download true color, aerosol, and fire detection satellite imagery
- Recording
- Presentation Slides
- Q&A Transcript
March 24, 2022 – 15 to 17 MYT
MODIS and VIIRS aerosol products – data analysis using python scripts
- Review of MODIS and corresponding VIIRS air quality-related parameters
- Discussion of similarities and differences between MODIS and VIIRS
- VIIRS air quality products from NASA and NOAA
- Access and visualization of NASA VIIRS data products
- VIIRS Aerosol Optical Depth (AOD) – data analysis using python scripts
- Examples of air quality applications of VIIRS data
- Recording
- Presentation Slides
- Q&A Transcript
- NASA ARSET Github python scripts
March 25, 2022 – 11 to 13 MYT
Aerosol observations from the HIMAWARI, GOCI, and GEMS satellites over Asia
Describe geostationary satellite capabilities over Asia for aerosols data
- Data access, evaluation, and case studies over Asia
- Recording
- Presentation Slides
- Q&A Transcript
Additional NASA ARSET Resources
- Introduction to Remote Sensing
- Satellite Imagery, Formats, and Data Access
- Exploring Satellite Imagery Using NASA Worldview and Earth Observatory
- Introduction to Geostationary Satellites, Recording
- Presentation Slides
- Introduction to Level 2 Datasets, Presentation Slides
- Exercise
- Read, Map, and Analyze Level 2 MODIS AOD Data, Presentation Slides
- NASA ARSET Github repository of python scripts