Atmospheric models serve an essential role in guiding air pollution management by  assessing health impacts from various sources. In the US and other developed nations,  chemical transport models (CTMs) are used to predict pollutant concentrations and to  evaluate compliance with air quality standards. CTMs are state-of-the-science models  but are resource-intensive requiring s...

Each year, millions of premature deaths worldwide are caused by exposure to outdoor air pollution, especially fine particulate matter (PM2.5). Designing policies to reduce these deaths relies on air quality modeling for estimating changes in PM2.5 concentrations from many scenarios at high spatial resolution. However, air quality modeling typically has substantial requirements for computation and ...

Every day, CAMS provides five-day global forecasts for:Aeorosol Optical DepthCarbon DioxideCarbon MonoxideFormaldehyde MethaneNitrogen DioxideOzoneParticulate MatterSulphur DioxideUV IndexFire Activity ...

The Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) provides data beginning in 1980. It was introduced to replace the original MERRA dataset because of the advances made in the assimilation system that enable assimilation of modern hyperspectral radiance and microwave observations, along with GPS-Radio Occultation datasets. It also uses NASA's ozone profile obs...

The GEOS Composition Forecasting (GEOS-CF) system produces global, three-dimensional distributions of atmospheric composition. The spatial resolution is 25km. Using meteorological analyses from other GEOS systems, the GEOS-CF products include a running atmospheric replay to provide near-time estimates of surface pollutant distributions and the composition of the troposphere and stratosphere. A sin...

This study presents the source apportionment of PM2.5 performed by positive matrix factorization (PMF) on data presented here which were collected at urban (Institute of Atmospheric Physics – IAP) and rural (Pinggu – PG) sites in Beijing as part of the Atmospheric Pollution and Human Health in a Chinese megacity (APHH-Beijing) field campaigns. The campaigns were carried out from 9 November to 11 D...

This annex to the European Monitoring and Evaluation Programme (EMEP)'s General Guidance on the Spatial Mapping of Emissions provides a general tiered guidance for the spatial disaggregation of emissions by sector....

The aim of this ‘Spatial emission mapping’ chapter is to provide guidance on how to spatially distribute national air emissions to:Support the link between emission data and air quality models that need emissions information at a proper spatial, temporal and sectoral resolution;Facilitate countries in (improving) the gridding of their emission inventories of air pollutants under the United Nations...

The Center for Air, Climate, and Energy Solutions (CACES) was a multidisciplinary, multi-institutional research center that focused on questions at the nexus of air, climate, energy and human health. CACES developed and applied novel measurement and modeling approaches to understand the spatial and temporal differences in human exposures to air pollution and associated health outcomes. CACES used ...

Under the US Clean Air Act, US Congress recognized that visibility is a resource to be valued and preserved now and for future generations, and set forth a national goal that calls for “the prevention of any future, and the remedying of any existing, impairment of visibility in mandatory Class I federal areas which impairment results from manmade air pollution.” The Regional Haze Rule (RHR) expand...