Training: Air quality monitoring and prediction using earth observation and numerical modelling techniques

Date 9 May 2024 to 10 May 2024
Venue ICIMOD, Lalitpur, Nepal
Contact Persons Bhupesh Adhikary Arshini Saikia
Type Training
Programmes SG1, SG3

About the training

The SERVIR-HKH Initiative of the International Centre for Integrated Mountain Development (ICIMOD) is organising a two-day training that focuses on transition air quality satellite and model data products. It encompasses both theoretical and practical knowledge of transition products, incorporating hands-on sessions that provide training in applied methodologies and data processing techniques. The hands-on exercises include a session on level 4 data products and their applications for air quality assessment and management in the HKH region.


This programme aims to provide comprehensive training to ICIMOD’s technical professionals regarding the creation and utilisation of AST-3 data products and methodologies. The objective is to equip them with the necessary knowledge and expertise to effectively run and troubleshoot the scripts used to create AST-3 data products.

Expected outcomes

Upon completion of the training, participants will better understand AST-3 transition data products and methodologies, analysing and interpreting the air quality data and their uses. They can do in-house operational model forecasting and will be able to use this data for capacity building, training, and decision support in the region.

Expected participants

Overall, ten technical professionals from ICIMOD are expected to join the training.

Resource persons/facilitators


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)

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

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


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. Integration of high-resolution satellite observations into model simulations enhances air quality forecasts, facilitating timely alerts for the public.