DOI: 10.1016/j.atmosenv.2017.05.032
Scopus记录号: 2-s2.0-85019951530
论文题名: Evaluating ammonia (NH3) predictions in the NOAA National Air Quality Forecast Capability (NAQFC) using in-situ aircraft and satellite measurements from the CalNex2010 campaign
作者: Bray C ; D ; , Battye W ; , Aneja V ; P ; , Tong D ; , Lee P ; , Tang Y ; , Nowak J ; B
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 163 起始页码: 65
结束页码: 76
语种: 英语
Scopus关键词: Agriculture
; Air quality
; Ammonia
; Eutrophication
; Particles (particulate matter)
; Agricultural emissions
; Ammonia concentrations
; Community multi-scale air qualities
; Fine particulate matter
; National Air Quality Forecast Capability
; National emissions inventories
; National Oceanic and Atmospheric Administration
; Tropospheric emission spectrometers
; Forecasting
; ammonia
; acidification
; aircraft
; ammonia
; Aura (satellite)
; climate modeling
; climate prediction
; concentration (composition)
; emission
; emission inventory
; eutrophication
; NOAA satellite
; particulate matter
; prediction
; air quality
; aircraft
; Article
; human
; measurement
; prediction
; priority journal
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Atmospheric ammonia (NH3) is not only a major precursor gas for fine particulate matter (PM2.5), but it also negatively impacts the environment through eutrophication and acidification. As the need for agriculture, the largest contributing source of NH3, increases, NH3 emissions will also increase. Therefore, it is crucial to accurately predict ammonia concentrations. The objective of this study is to determine how well the U.S. National Oceanic and Atmospheric Administration (NOAA) National Air Quality Forecast Capability (NAQFC) system predicts ammonia concentrations using their Community Multiscale Air Quality (CMAQ) model (v4.6). Model predictions of atmospheric ammonia are compared against measurements taken during the NOAA California Nexus (CalNex) field campaign that took place between May and July of 2010. Additionally, the model predictions were also compared against ammonia measurements obtained from the Tropospheric Emission Spectrometer (TES) on the Aura satellite. The results of this study showed that the CMAQ model tended to under predict concentrations of NH3. When comparing the CMAQ model with the CalNex measurements, the model under predicted NH3 by a factor of 2.4 (NMB = −58%). However, the ratio of the median measured NH3 concentration to the median of the modeled NH3 concentration was 0.8. When compared with the TES measurements, the model under predicted concentrations of NH3 by a factor of 4.5 (NMB = −77%), with a ratio of the median retrieved NH3 concentration to the median of the modeled NH3 concentration of 3.1. Because the model was the least accurate over agricultural regions, it is likely that the major source of error lies within the agricultural emissions in the National Emissions Inventory. In addition to this, the lack of the use of bidirectional exchange of NH3 in the model could also contribute to the observed bias. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82636
Appears in Collections: 气候变化事实与影响
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作者单位: North Carolina State University, Raleigh, NC, United States; NOAA Air Resources Laboratory, 5830 University Research Court, College Park, MD, United States; Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, United States; Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, United States; NASA Langley Research Center, Hampton, VA, United States
Recommended Citation:
Bray C,D,, Battye W,et al. Evaluating ammonia (NH3) predictions in the NOAA National Air Quality Forecast Capability (NAQFC) using in-situ aircraft and satellite measurements from the CalNex2010 campaign[J]. Atmospheric Environment,2017-01-01,163