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Sources and Impacts of Atmospheric NH3: Current Understanding and Frontiers for Modeling, Measurements, and Remote Sensing in North America
Journal article   Open access   Peer reviewed

Sources and Impacts of Atmospheric NH3: Current Understanding and Frontiers for Modeling, Measurements, and Remote Sensing in North America

Liye Zhu, Daven K. Henze, Jesse O. Bash, Karen E. Cady-Pereira, Mark W. Shephard, Ming Luo and Shannon L. Capps
Current pollution reports, v 1(2), pp 95-116
2015
url
https://doi.org/10.1007/s40726-015-0010-4View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open

Abstract

Air Pollution (S Wu Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Earth and Environmental Science Environment Environmental Law/Policy/Ecojustice General Industrial Pollution Prevention Monitoring/Environmental Analysis Pollution Section Editor Topical Collection on Air Pollution Waste Water Technology Water Management Water Pollution Control
Ammonia (NH 3 ) contributes to widespread adverse health impacts, affects the climate forcing of ambient aerosols, and is a significant component of reactive nitrogen, deposition of which threatens many sensitive ecosystems. Historically, the scarcity of in situ measurements and the complexity of gas-to-aerosol NH 3 partitioning have contributed to large uncertainties in our knowledge of its sources and distributions. However, recent progress in measurements and modeling has afforded new opportunities for improving our understanding of NH 3 and the role it plays in these important environmental issues. In the past few years, passive measurements of NH 3 have been added to monitoring networks throughout the USA, now in place at more than 60 stations, while mobile measurements aboard aircrafts and vehicles have provide detailed observations during several recent field campaigns. In addition, new remote sensing observations from multiple satellite instruments have begun to provide vast amounts of NH 3 observations throughout the globe. These sources of information have collectively driven new air quality modeling capabilities, by revealing deficiencies in current air quality models and spurring development of mechanistic enhancements to models’ physical representation of the diurnal variability and bidirectional nature of NH 3 fluxes. In turn, these advanced models require further observational constraints, as existing NH 3 measurements are still limited in spatiotemporal coverage. We thus evaluate the potential value of a new geostationary remote sensing instrument (GCIRI) for providing constraints on NH 3 fluxes through multiple Observing System Simulation Experiments (OSSEs).

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Industry collaboration
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Web of Science research areas
Environmental Sciences
Public, Environmental & Occupational Health
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