APN First Training Workshop

APN TRAINING WORKSHOP ON IMPACTS OF THE COVID-19 PANDEMIC ON AIR QUALITY OF THE MONSOON ASIA REGION: CROSS-COUNTRY ASSESSMENT AND FACILITATING POLICY

The training workshop was organised by researchers from NASA and EUMETSAT and took place between 21st March and 25th March 2023. This five-day training workshop was conducted as part of the Asia Pacific Network for Global Change Research Grant (APN-GCR), focusing on the project titled “Impacts of the COVID-19 pandemic on air quality of the Monsoon Asia region: Cross-country assessment and facilitating policy”.

APN Research 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 to13 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-19 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