Workshop: Air quality monitoring and prediction using earth observation and numerical modelling

Date 6 May 2024 to 6 May 2024
Venue ICIMOD, Lalitpur, Nepal
Contact Persons Bhupesh Adhikary Arshini Saikia
Type Workshop
Programmes SG1, SG3

About the training

The SERVIR-HKH Initiative of the International Centre for Integrated Mountain Development (ICIMOD) is organising a one-day workshop focusing on multi-satellite and model air quality data products and their practical applications, such as emission source identification, air pollution assessment study in comprehending air pollution and the related challenges in the Hindu Kush Himalaya (HKH) region. The workshop agenda is designed to provide participants with a blend of theoretical insights and applications, encompassing cutting-edge technologies and information on data analytics.


  • The significance of air quality data in effectively managing air quality issues within the HKH region
  • Showcase how air quality data products can be practically utilised to address air quality challenges and provide insights into these products’ technical aspects and capabilities
  • Facilitate knowledge exchange between experts, policymakers, and scientists to enhance collective understanding and effectiveness in managing air quality issues

Expected outcomes

Upon completion of the workshop, participants will have a better understanding of satellite, model, and assimilated air quality data products and their uses. They will utilise this knowledge to support air pollution monitoring and management in the region.

Furthermore, they will have access to a vast AQ data platform, which they can utilise for capacity building, training, and various other purposes, such as public awareness and policy support.

Expected participants

Overall, 40 participants from AAB, SERVIR-HKH, IDT

Resource persons/facilitators


Arun B Shrestha, Strategic Group Lead 1: Reducing Climate and Environmental Risks

Birendra Bajracharya, Chief of Party, SERVIR-HKH

Bertrand Bessagnet, Action Area Coordinator, Stimulating Action for Clean Air

Bhupesh Adhikary, Senior Air Quality Specialist, Stimulating Action for Clean Air

Arshini Saikia, Air Quality Modelling Analyst, Stimulating Action for Clean Air

Suman Sanjel, Air Quality Application Development Associate, Stimulating Action for Clean Air

NASA – Applied Science Team (AST)

Ashutosh Limaye, Chief Scientist, NASA-SERVIR

Aaron Naeger, Principal Investigator, Research Scientist at NASA Marshall Space Flight Center

Jonathan Case, Co-Investigator, Research Meteorologist at ENSCO, Inc.

Kevin Fuell, Co-Investigator, University of Alabama Huntsville (UAH) Research Scientist / Transition/Training Specialist at NASA Short-term Prediction Research and Transition Center (SPoRT)

SERVIR – Science Coordination Office

Alqamah Sayeed, Air Quality Scientist, Universities Space Research Association (USRA)

Meryl Kruskopf, Research Associate II, The University of Alabama in Huntsville


Air pollution is a significant threat to the environment and public health in the HKH region, exacerbated by robust emission sources and widespread pollutant transport. The Kathmandu Valley in Nepal faces particularly high levels of air pollution due to its geographical features, which trap pollutants, leading to adverse health effects. In addition, other major cities like Delhi, Dhaka, and Lahore in the HKH region also grapple with air pollution challenges driven by vehicular emissions, industrial activities, and agricultural burning. Traditional ground-based sensors are commonly used for air quality monitoring but often lack coverage, hindering the characterisation of pollutant gradients. Space-borne remote sensing from low Earth orbit (LEO) and geosynchronous equatorial orbit (GEO) satellites can provide high spatiotemporal information on trace gases and aerosols, improving air quality monitoring and forecasting capabilities and enabling better-informed decision-making. Integrating high-resolution satellite observations into model simulations enhances air quality forecasts, facilitating timely alerts for the public.