TY - GEN
T1 - Air quality models to address air pollution and climate change in Central America
AU - Thomas, Amy E.
AU - Evans, Sam
AU - Gomori, Stephen G.
AU - Huff, Amy K.
N1 - Funding Information:
Funding for this project was provided by NASA. Thanks to NASA's Short-term Prediction Research and Transition (SPoRT) Center for providing WRF test data to use in the development and testing of the CMAQ model. Thanks to the El Salvador Ministry of the Environment and Natural Resources (MARN), National University of Costa Rica (UNA), Costa Rica National Meteorological Institute (IMN), and the Costa Rica Ministry of the Environment and Telecommunications (MINAET) for their cooperation in developing an air quality model for Central America.
PY - 2015
Y1 - 2015
N2 - To build capacity for managing air pollution and adapting to climate change in Central America, a Community Multi-scale Air Quality (CMAQ)-based numerical air quality model is designed in collaboration with government researchers and university decision-makers in El Salvador and Costa Rica. The air quality model will provide predictive capability that will assist decision-makers in managing air pollutant emissions and developing air quality forecasts that warn residents to reduce their exposure to ambient air pollution. With the model, decision-makers can explore options to improve air quality, such as policies to improve vehicle fuel efficiency and reduce vehicle miles traveled, which would offer co-benefits of reducing greenhouse gas emissions and mitigating climate change. Emission inventories will need to be updated periodically for the model to remain relevant. This is an abstract of a paper presented at the 108th AWMA Annual Conference and Exhibition (Raleigh, NC 6/22-25/2015).
AB - To build capacity for managing air pollution and adapting to climate change in Central America, a Community Multi-scale Air Quality (CMAQ)-based numerical air quality model is designed in collaboration with government researchers and university decision-makers in El Salvador and Costa Rica. The air quality model will provide predictive capability that will assist decision-makers in managing air pollutant emissions and developing air quality forecasts that warn residents to reduce their exposure to ambient air pollution. With the model, decision-makers can explore options to improve air quality, such as policies to improve vehicle fuel efficiency and reduce vehicle miles traveled, which would offer co-benefits of reducing greenhouse gas emissions and mitigating climate change. Emission inventories will need to be updated periodically for the model to remain relevant. This is an abstract of a paper presented at the 108th AWMA Annual Conference and Exhibition (Raleigh, NC 6/22-25/2015).
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M3 - Conference contribution
AN - SCOPUS:84983542229
T3 - Proceedings of the Air and Waste Management Association's Annual Conference and Exhibition, AWMA
SP - 2904
EP - 2908
BT - 108th Air and Waste Management Association Annual Conference and Exhibition, ACE 2015 - Connecting the Dots
PB - Air and Waste Management Association
T2 - 108th Air and Waste Management Association Annual Conference and Exhibition - Connecting the Dots: Environmental Quality to Climate, ACE 2015
Y2 - 22 June 2015 through 25 June 2015
ER -