globalchange  > 气候减缓与适应
DOI: 10.1002/2017JD028009
Scopus记录号: 2-s2.0-85044330300
论文题名:
First Top-Down Estimates of Anthropogenic NOx Emissions Using High-Resolution Airborne Remote Sensing Observations
作者: Souri A.H.; Choi Y.; Pan S.; Curci G.; Nowlan C.R.; Janz S.J.; Kowalewski M.G.; Liu J.; Herman J.R.; Weinheimer A.J.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期:6
起始页码: 3269
结束页码: 3284
语种: 英语
英文关键词: GCAS ; inverse modeling ; Kalman filter ; NOx emissions ; remote sensing
Scopus关键词: absorption ; airborne sensing ; ammonium nitrate ; anthropogenic source ; emission ; estimation method ; Kalman filter ; nitrogen dioxide ; observational method ; radiative transfer ; top-down control ; Brazoria County ; Galveston ; Houston ; Texas ; United States
英文摘要: A number of satellite-based instruments have become an essential part of monitoring emissions. Despite sound theoretical inversion techniques, the insufficient samples and the footprint size of current observations have introduced an obstacle to narrow the inversion window for regional models. These key limitations can be partially resolved by a set of modest high-quality measurements from airborne remote sensing. This study illustrates the feasibility of nitrogen dioxide (NO2) columns from the Geostationary Coastal and Air Pollution Events Airborne Simulator (GCAS) to constrain anthropogenic NOx emissions in the Houston-Galveston-Brazoria area. We convert slant column densities to vertical columns using a radiative transfer model with (i) NO2 profiles from a high-resolution regional model (1 × 1 km2) constrained by P-3B aircraft measurements, (ii) the consideration of aerosol optical thickness impacts on radiance at NO2 absorption line, and (iii) high-resolution surface albedo constrained by ground-based spectrometers. We characterize errors in the GCAS NO2 columns by comparing them to Pandora measurements and find a striking correlation (r > 0.74) with an uncertainty of 3.5 × 1015 molecules cm−2. On 9 of 10 total days, the constrained anthropogenic emissions by a Kalman filter yield an overall 2–50% reduction in polluted areas, partly counterbalancing the well-documented positive bias of the model. The inversion, however, boosts emissions by 94% in the same areas on a day when an unprecedented local emissions event potentially occurred, significantly mitigating the bias of the model. The capability of GCAS at detecting such an event ensures the significance of forthcoming geostationary satellites for timely estimates of top-down emissions. ©2018. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114245
Appears in Collections:气候减缓与适应

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作者单位: Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, United States; CETEMPS, University of L'Aquila, L'Aquila, Italy; Department of Physical and Chemical Sciences, University of L'Aquila, L'Aquila, Italy; Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Goddard Earth Sciences Technology and Research, USRA, Greenbelt, MD, United States; Jet Propulsion Laboratory, Caltech, Pasadena, CA, United States; Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, MD, United States; National Center for Atmospheric Research, Boulder, CO, United States

Recommended Citation:
Souri A.H.,Choi Y.,Pan S.,et al. First Top-Down Estimates of Anthropogenic NOx Emissions Using High-Resolution Airborne Remote Sensing Observations[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(6)
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