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
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:
Exploring Satellite Imagery Using NASA Worldview and Earth Observatory
Introduction to Geostationary Satellites,Recording
Introduction to Level 2 Datasets, Presentation Slides
Read, Map, and Analyze Level 2 MODIS AOD Data, Presentation Slides