A composite Air Health Index (AHI) is helpful for separately emphasizing the health risks of multiple stimuli and communicating the overall risks of an adverse atmospheric environment to the public. Authors aimed to establish a new AHI by integrating daily mortality risks due to air pollution with those due to non-optimum temperature in China. Based on the exposure-response (E-R) coefficients obta...

The simulation of greenhouse gases (GHG) and reactive trace gases and aerosol (COMPO) is a configurable extension of the IFS. These configurations are used in the operational forecast and reanalysis applications of the IFS for the Copernicus Atmosphere Monitoring Service (CAMS). This part of the documentation describes the simulation of the sink and source processes of atmospheric composition with...

Urbanization is rapidly shaping our world, with more people than ever residing in cities. While cities offer numerous opportunities and conveniences, they also face critical challenges, including air pollution. Addressing these challenges is vital for creating healthier and more liveable urban environments. A transformative solution emerges, bridging the gap between sustainable urban mobility and ...

This report was prepared by Environment Canada (EC) and the U.S. Environmental Protection Agency (EPA) with input from Health Canada. Environment Canada and EPA are the lead agencies for the U.S.-Canada Border Air Quality Strategy (BAQS) pilot project, Maintaining Air Quality in a Transboundary Air Basin: Georgia Basin-Puget Sound, announced by Environment Canada and the U.S. EPA in Washington D.C...

Traditional categorical metrics used in model evaluations are “clear cut” measures in that the model’s ability to predict an “exceedance” is defined by a fixed threshold concentration and the metrics are defined by observation–forecast sets that are paired both in space and time. These metrics are informative but limited in evaluating the performance of air quality forecast (AQF) systems because A...

Heavy precipitation events and their associated flooding can have major impacts on communities and stakeholders. There is a lack of knowledge, however, about how stakeholders make decisions at the subseasonal-to-seasonal (S2S) time scales (i.e., 2 weeks to 3 months). To understand how decisions are made and S2S predictions are or can be used, the project team for “Prediction of Rainfall Extremes a...

Authors present a new data set of annual historical (1750–2014) anthropogenic chemically reactive gases (CO, CH4, NH3, NOx, SO2, NMVOCs), carbonaceous aerosols (black carbon – BC, and organic carbon – OC), and CO2 developed with the Community Emissions Data System (CEDS). They improve upon existing inventories with a more consistent and reproducible methodology applied to all emission species, upd...

The new version of the Emissions Database for Global Atmospheric Research (EDGAR v4.3.2) compiles gaseous and particulate air pollutant emissions, making use of the same anthropogenic sectors, time period (1970–2012), and international activity data that is used for estimating GHG emissions, as described in a companion paper (Janssens-Maenhout et al., 2017). All human activities, except large scal...

This User’s Guide describes the Advanced Research WRF (ARW) Version 4 modeling system. This document is continuously updated as the WRF model is further developed. Please post feedback to the WRF & MPAS-A Support Forum.This document is complementary to the WRF-ARW Tech Note, which describes the equations, numerics, boundary conditions, nesting, etc. in greater detail.For updates to specific ve...

The Modeling Program Office (STI-M) within the National Weather Service’s Office of Science and Technology Integration (NWS/OSTI) assesses the compute and storage needs for various weather applications moving to the operational Production Suite at the National Centers for Environmental Prediction (NCEP). The programs and projects covered in this assessment are those that are managed by STI-M and a...