The PMF-AMS Analysis Guide provides documentation for the PMF Evaluation Tool (PET), an Igor Pro-based software package for applying Positive Matrix Factorization (PMF) to aerosol mass spectrometry (AMS) and related datasets. It describes the complete analysis workflow, including software installation, preparation of data and uncertainty matrices, configuration and execution of PMF analyses, and e...

The presentation provides an overview of the ACSM data analysis software and its workflow for processing data from the Aerosol Chemical Speciation Monitor (ACSM). It describes the main steps involved in importing raw data, configuring analysis parameters, applying instrument calibrations, and generating quantitative concentrations of the major non-refractory aerosol species. The tutorial also cove...

This WHO Regional Office for Europe report provides updated guidance on the concentration–response functions used to quantify the health impacts of air pollution. Building on the original 2013 HRAPIE recommendations, it incorporates the latest evidence from systematic reviews and epidemiological studies to support health risk assessments for key air pollutants, including particulate matter, ozone,...

This presentation from the WMO/GURME Regional Training Workshop on urban air quality modelling for  ASEAN Countries introduces the principles and methods used to evaluate the performance of air quality forecasts. It covers key concepts in forecast verification, including statistical evaluation metrics, measures of forecast accuracy and skill, bias and error assessment, and approaches for comp...

NASA's Applied Remote Sensing Training Program (ARSET) organised a webinar series on Air Quality Forecasting. The third webinar focused on the Copernicus Atmosphere Monitoring Service (CAMS).Learning Objectives:Identify the different Atmospheric composition and Air Quality (AQ) relevant datasets available from the Copernicus Atmosphere Monitoring ServiceUnderstand the difference between forecast, ...

NASA's Applied Remote Sensing Training Program (ARSET) organised a webinar series on Air Quality Forecasting. The second webinar focused on the Goddard Earth Observing System (GEOS) Earth System ModelLearning Objectives:Identify the different Air Quality (AQ) relevant model outputs available from Goddard Earth Observing System (GEOS) Earth System ModelUnderstand the difference between analysis, re...

This World Meteorological Organization (WMO) training course provides a comprehensive introduction to air quality prediction and forecasting for African applications. The course covers key topics including atmospheric chemistry, air quality observations, emissions, numerical modelling, satellite data, aerosols, dust forecasting, model evaluation, and practical air quality management applications, ...

This page provides a curated collection of tools and references for visualizing and analyzing community air monitoring data. It includes data visualization platforms, mapping applications, air quality sensor networks, highlight different approaches for analyzing spatial and temporal trends, understanding pollutant concentrations, and communicating air quality information through maps, graphs, and ...

NASA's Applied Remote Sensing Training Program (ARSET) organised a webinar series on Air Quality Forecasting. The first webinar focused on air quality basics.Learning Objectives:By the end of this training, attendees will understand:The science behind AQ forecasting and parallels to weather forecastingVarious methods to forecast air qualityModel components such as emissions, boundary conditions, a...

This project, developed by the Climate, Air Quality Research (CARE) group at Monash University's School of Public Health and Preventive Medicine, goes beyond traditional air quality monitoring by advancing understanding of environmental exposures including air quality, climate impacts, and other environmental health determinants. The Global Air Pollution Forecasting platform provides real-time and...