Literature DB >> 31534946

The Dawn of Geostationary Air Quality Monitoring: Case Studies from Seoul and Los Angeles.

Laura Judd1,2, Jassim Al-Saadi1, Lukas Valin3, R Bradley Pierce4, Kai Yang5, Scott Janz6, Matt Kowalewski6,7, James Szykman3, Martin Tiefengraber8,9, Moritz Mueller8,9.   

Abstract

With the near-future launch of geostationary pollution monitoring satellite instruments over North America, East Asia, and Europe, the air quality community is preparing for an integrated global atmospheric composition observing system at unprecedented spatial and temporal resolutions. One of the ways that NASA has supported this community preparation is through demonstration of future space-borne capabilities using the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument. This paper integrates repeated high-resolution maps from GeoTASO, ground-based Pandora spectrometers, and low Earth orbit measurements from the Ozone Mapping and Profiler Suite (OMPS), for case studies over two metropolitan areas: Seoul, South Korea on June 9th, 2016 and Los Angeles, California on June 27th, 2017. This dataset provides a unique opportunity to illustrate how geostationary air quality monitoring platforms and ground-based remote sensing networks will close the current spatiotemporal observation gap. GeoTASO observes large differences in diurnal behavior between these urban areas, with NO2 accumulating within the Seoul Metropolitan Area through the day but NO2 peaking in the morning and decreasing throughout the afternoon in the Los Angeles Basin. In both areas, the earliest morning maps exhibit spatial patterns similar to emission source areas (e.g., urbanized valleys, roadways, major airports). These spatial patterns change later in the day due to boundary layer dynamics, horizontal transport, and chemistry. The nominal resolution of GeoTASO is finer than will be obtained from geostationary platforms, but when NO2 data over Los Angeles are up-scaled to the expected resolution of TEMPO, spatial features discussed are conserved. Pandora instruments installed in both metropolitan areas capture the diurnal patterns observed by GeoTASO, continuously and over longer time periods, and will play a critical role in validation of the next generation of satellite measurement.. These case studies demonstrate that different regions can have diverse diurnal patterns and that day-to-day variability due to meteorology or anthropogenic patterns such as weekday/weekend variations in emissions is large. Low Earth orbit measurements, despite their inability to capture the diurnal patterns at fine spatial resolution, will be essential for intercalibrating the geostationary radiances and cross-validating the geostationary retrievals in an integrated global observing system.

Entities:  

Keywords:  GeoTASO; NO2; OMPS; Pandora; air quality; atmospheric composition; geostationary; satellite

Year:  2018        PMID: 31534946      PMCID: PMC6749617          DOI: 10.3389/fenvs.2018.00085

Source DB:  PubMed          Journal:  Front Environ Sci        ISSN: 2296-665X


  9 in total

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4.  Formaldehyde (HCHO) As a Hazardous Air Pollutant: Mapping Surface Air Concentrations from Satellite and Inferring Cancer Risks in the United States.

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Journal:  Environ Sci Technol       Date:  2017-05-05       Impact factor: 9.028

5.  Changes in motor vehicle emissions on diurnal to decadal time scales and effects on atmospheric composition.

Authors:  Robert A Harley; Linsey C Marr; Jaime K Lehner; Sarah N Giddings
Journal:  Environ Sci Technol       Date:  2005-07-15       Impact factor: 9.028

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Journal:  J Geophys Res Atmos       Date:  2017-10-16       Impact factor: 4.261

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Journal:  Nature       Date:  2005-09-01       Impact factor: 49.962

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9.  Why do Models Overestimate Surface Ozone in the Southeastern United States?

Authors:  Katherine R Travis; Daniel J Jacob; Jenny A Fisher; Patrick S Kim; Eloise A Marais; Lei Zhu; Karen Yu; Christopher C Miller; Robert M Yantosca; Melissa P Sulprizio; Anne M Thompson; Paul O Wennberg; John D Crounse; Jason M St Clair; Ronald C Cohen; Joshua L Laughner; Jack E Dibb; Samuel R Hall; Kirk Ullmann; Glenn M Wolfe; Illana B Pollack; Jeff Peischl; Jonathan A Neuman; Xianliang Zhou
Journal:  Atmos Chem Phys       Date:  2016-11-01       Impact factor: 6.133

  9 in total
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1.  Evaluating the impact of spatial resolution on tropospheric NO2 column comparisons within urban areas using high-resolution airborne data.

Authors:  Laura M Judd; Jassim A Al-Saadi; Scott J Janz; Matthew G Kowalewski; R Bradley Pierce; James J Szykman; Lukas C Valin; Robert Swap; Alexander Cede; Moritz Mueller; Martin Tiefengraber; Nader Abuhassan; David Williams
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2.  Overview of the Lake Michigan Ozone Study 2017.

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3.  Comprehensive evaluations of diurnal NO2 measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NO x emissions.

Authors:  Jianfeng Li; Yuhang Wang; Ruixiong Zhang; Charles Smeltzer; Andrew Weinheimer; Jay Herman; K Folkert Boersma; Edward A Celarier; Russell W Long; James J Szykman; Ruben Delgado; Anne M Thompson; Travis N Knepp; Lok N Lamsal; Scott J Janz; Matthew G Kowalewski; Xiong Liu; Caroline R Nowlan
Journal:  Atmos Chem Phys       Date:  2021-07-23       Impact factor: 7.197

4.  NO2 retrievals from NOAA-20 OMPS: Algorithm, evaluation, and observations of drastic changes during COVID-19.

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