GSTDTAP  > 地球科学
DOI10.5194/acp-17-2721-2017
Modeling the diurnal variability of agricultural ammonia in Bakersfield, California, during the CalNex campaign
Lonsdale, Chantelle R.1; Hegarty, Jennifer D.1; Cady-Pereira, Karen E.1; Alvarado, Matthew J.1; Henze, Daven K.2; Turner, Matthew D.2; Capps, Shannon L.2; Nowak, John B.3,4,8; Neuman, Andy4; Middlebrook, Ann M.4; Bahreini, Roya3,4,9; Murphy, Jennifer G.5; Markovic, Milos Z.5,10; VandenBoer, Trevor C.5,11; Russell, Lynn M.6; Scarino, Amy Jo7
2017-02-23
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2017
卷号17期号:4
文章类型Article
语种英语
国家USA; Canada
英文摘要

NH3 retrievals from the NASA Tropospheric Emission Spectrometer (TES), as well as surface and aircraft observations of NH3(g) and submicron NH4(p), are used to evaluate modeled concentrations of NH3(g) and NH4(p) from the Community Multiscale Air Quality (CMAQ) model in the San Joaquin Valley (SJV) during the California Research at the Nexus of Air Quality and Climate Change (CalNex) campaign. We find that simulations of NH3 driven with the California Air Resources Board (CARB) emission inventory are qualitatively and spatially consistent with TES satellite observations, with a correlation coefficient (r(2)) of 0.64. However, the surface observations at Bakersfield indicate a diurnal cycle in the model bias, with CMAQ overestimating surface NH3 at night and underestimating it during the day. The surface, satellite, and aircraft observations all suggest that daytime NH3 emissions in the CARB inventory are underestimated by at least a factor of 2, while the nighttime overestimate of NH3(g) is likely due to a combination of overestimated NH3 emissions and underestimated deposition.


Running CMAQ v5.0.2 with the bi-directional NH3 scheme reduces NH3 concentrations at night and increases them during the day. This reduces the model bias when compared to the surface and satellite observations, but the increased concentrations aloft significantly increase the bias relative to the aircraft observations. We attempt to further reduce model bias by using the surface observations at Bakers-field to derive an empirical diurnal cycle of NH3 emissions in the SJV, in which nighttime and midday emissions differ by about a factor of 4.5. Running CMAQv5.0.2 with a bi-directional NH3 scheme together with this emissions diurnal profile further reduces model bias relative to the surface observations. Comparison of these simulations with the vertical profile retrieved by TES shows little bias except for the lowest retrieved level, but the model bias relative to flight data aloft increases slightly. Our results indicate that both diurnally varying emissions and a bi-directional NH3 scheme should be applied when modeling NH3(g) and NH4(p) in this region. The remaining model errors suggest that the bi-directional NH3 scheme in CMAQ v5.0.2 needs further improvements to shift the peak NH3 land-atmosphere flux to earlier in the day. We recommend that future work include updates to the current CARB NH3 inventory to account for NH3 from fertilizer application, livestock, and other farming practices separately; adding revised information on crop management practices specific to the SJV region to the bi-directional NH3 scheme; and top-down studies focused on determining the diurnally varying biases in the canopy compensation point that determines the net land-atmosphere NH3 fluxes.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000395100000001
WOS关键词FINE PARTICULATE MATTER ; SAN-JOAQUIN VALLEY ; SATELLITE-OBSERVATIONS ; ATMOSPHERIC AMMONIA ; CLIMATE-CHANGE ; UNITED-STATES ; NH3 EMISSIONS ; FORMIC-ACID ; TES AMMONIA ; SCALE
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
被引频次:19[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/27292
专题地球科学
作者单位1.Atmospher & Environm Res, Lexington, MA 02421 USA;
2.Univ Colorado, Dept Mech Engn, Boulder, CO 80309 USA;
3.Univ Colorado Boulder, Cooperat Inst Res Environm Sci, Boulder, CO USA;
4.NOAA, Chem Sci Div, Earth Syst Res Lab, Boulder, CO USA;
5.Univ Toronto, Dept Chem, Toronto, ON, Canada;
6.Univ Calif San Diego, Scripps Inst Oceanog, San Diego, CA 92103 USA;
7.Sci Syst & Applicat Inc, Hampton, VA USA;
8.Aerodyne Res Inc, Billerica, MA USA;
9.Univ Calif Riverside, Dept Environm Sci, Riverside, CA 92521 USA;
10.Picarro Inc, Santa Clara, CA USA;
11.Mem Univ Newfoundland, Dept Earth Sci, St John, NF A1C 5S7, Canada
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Lonsdale, Chantelle R.,Hegarty, Jennifer D.,Cady-Pereira, Karen E.,et al. Modeling the diurnal variability of agricultural ammonia in Bakersfield, California, during the CalNex campaign[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(4).
APA Lonsdale, Chantelle R..,Hegarty, Jennifer D..,Cady-Pereira, Karen E..,Alvarado, Matthew J..,Henze, Daven K..,...&Scarino, Amy Jo.(2017).Modeling the diurnal variability of agricultural ammonia in Bakersfield, California, during the CalNex campaign.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(4).
MLA Lonsdale, Chantelle R.,et al."Modeling the diurnal variability of agricultural ammonia in Bakersfield, California, during the CalNex campaign".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.4(2017).
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