A high-resolution and observationally constrained  OMI NO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; satellite retrieval

Goldberg, Daniel L.; Lamsal, L. N.; Loughner, Christopher P.; Swartz, W. H.; Lü, Zifeng; Streets, D. G.

doi:10.5194/acp-17-11403-2017

Cited by 68 publications

(71 citation statements)

References 100 publications

(108 reference statements)

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“…Our primary tool for disentangling the drivers of the O 3 -temperature relationship is simulations of the GMI CTM. Meteorological fields from the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2; Gelaro et al, 2017) are provided to the CTM every 3 hr (Goldberg et al, 2017). Our simulations have a spatial resolution of 1 • latitude × 1.25 • longitude ( Figure 1).…”

Section: Model Description and Simulationsmentioning

confidence: 99%

Disentangling the Drivers of the Summertime Ozone‐Temperature Relationship Over the United States

et al. 2019

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Summertime surface‐level ozone (O3) is known to vary with temperature, but the relative roles of different processes responsible for causing the O3‐temperature relationship are not well quantified. In this study we use simulations of NASA's Global Modeling Initiative chemical transport model to isolate and assess the relative impact of atmospheric transport, chemistry, and emissions on large‐scale O3 variability, events, and and the covariance of O3 with temperature. Using observations from the Clean Air Status and Trends Network in the contiguous United States, we show that the Global Modeling Initiative chemical transport model reproduces the spatiotemporal variability of O3 and its relationship with temperature during the summer. We use the change in O3 given a change in temperature (dO3/dT) along with other metrics to understand differences between our simulations. In regions with moderate to strong positive correlations between temperature and O3 such as the northeast, Great Lakes, and Great Plains, temperature's association with transport yields a majority of the total O3‐temperature relationship (∼60%), while temperature‐dependent chemistry and anthropogenic NO emissions play smaller roles (∼30% and ∼10%, respectively). There are regions, however, with insignificant correlations between temperature and O3, and our findings suggest that transport is still an important driver of O3 variability in these regions, albeit not correlated with temperature. Transport is not directly dependent on temperature but rather is linked through an indirect association, and it is therefore important to understand the exact mechanisms that link transport to O3 and how these mechanisms will change in a warming world.

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Section: Model Description and Simulationsmentioning

confidence: 99%

Disentangling the Drivers of the Summertime Ozone‐Temperature Relationship Over the United States

et al. 2019

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“…These measurements are total NO 2 column with no differentiation of stratospheric or tropospheric NO 2 contributions, but as discussed in section GeoTASO, stratospheric contributions are relatively small and uniform over the SMA and the LA Basin. Data from these instruments have been used to assess spaceand aircraft-based retrievals of NO 2 columns (Flynn et al, 2014;Nowlan et al, 2016;Goldberg et al, 2017), as well as to study the spatiotemporal variability of trace gases in urban environments (Tzortziou et al, 2015) and column-to-surface relationships and their relation to boundary layer depth (Flynn et al, 2014;Knepp et al, 2015). Further understanding the effects of boundary layer depth on air quality has been identified as a "most important" objective by the National Academy of Sciences' most recent Decadal Survey (2017-2027) (National Academies of Sciences Engineering Medicine, 2018).…”

Section: Pandora Spectrometermentioning

confidence: 99%

“…Measurements of ultraviolet-visible (UV-VIS) radiation needed to perform atmospheric chemistry retrievals of ozone (O 3 ) and its precursors have been made from platforms in LEO for the past 22 years beginning with the launch of the Global Ozone Monitoring Experiment (GOME) in 1996 , and continuing with the launch of the Ozone Monitoring Instrument (OMI) in 2004 (Levelt et al, 2006), SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY) in 2002 (Bovensmann et al, 1999), GOME-2 in 2006 and 2013 (Callies et al, 2000), the Ozone Mapping and Profiler Suite Nadir Mapper (OMPS NM) in 2011 and 2017 (Flynn et al, 2004;Yang et al, 2014), and the TROPOspheric Monitoring Instrument (TROPOMI) in 2017. These data have been useful for understanding global (e.g., Martin et al, 2003;Jaegl et al, 2005), regional (e.g., Duncan et al, 2016;Travis et al, 2016) and local air quality (e.g., Zhu et al, 2017) over daily (e.g., Valin et al, 2014;de Foy et al, 2016), seasonal (e.g., Russell et al, 2010), interannual, and decadal time periods (van der et al, 2008;De Smedt et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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

Judd

Al-Saadi

Valin

et al. 2018

Front. Environ. Sci.

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With the near-future launch of geostationary Earth orbit (GEO) 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 NO 2 maps from GeoTASO, ground-based Pandora spectrometers data, and low Earth orbit (LEO) measurements from the Ozone Mapping and Profiler Suite, for case studies over two regions: the Seoul Metropolitan Area, South Korea on June 9th, 2016 and Los Angeles Basin, California on June 27th, 2017. This dataset provides a unique opportunity to illustrate how GEO air quality monitoring platforms and ground-based remote sensing networks will close the current spatiotemporal observation gap. In both areas, the earliest morning maps exhibit spatial patterns similar to emission source areas (e.g., urbanized valleys, roadways, major airports) and change later in the day due to boundary layer dynamics, transport, and/or chemistry. On June 9th, 2016, GeoTASO observes NO 2 accumulating within the Seoul Metropolitan Area, while NO 2 peaks in the morning and decreases throughout the afternoon in the Los Angeles Basin on June 27th, 2017. The nominal resolution of GeoTASO is finer than will be obtained from GEO platforms, but when NO 2 data over Los Angeles are up-scaled to the expected resolution of TEMPO, spatial features discussed are preserved. 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 measurements. These case studies demonstrate the diversity of diurnal patterns in two urbanized regions and associates them with meteorology Judd et al.Dawn of Geostationary Air Quality Monitoring or anthropogenic patterns, hinting at the spatial and temporal richness of the upcoming GEO observations. LEO measurements, despite their inability to capture the diurnal patterns at fine spatial resolution, will be essential for intercalibrating the GEO radiances and cross-validating the GEO retrievals in an integrated global observing system.

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“…As a result, monitor bias is often corrected when evaluating afternoon overpass satellites like OMI (Lamsal et al 2008). Retrievals based on AMF calculations from higher resolution regional models show improved performance against surface observations (Russell et al 2011, Goldberg et al 2017, Laughner et al 2019.…”

Section: Reconciling Surface and Column No 2 Variabilitymentioning

confidence: 99%

Evaluating current satellite capability to observe diurnal change in nitrogen oxides in preparation for geostationary satellite missions

Penn

Holloway

2020

Environ. Res. Lett.

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This study characterizes the degree to which current polar-orbiting satellites can evaluate the daytime change in NO 2 vertical column density (VCD) in urban, suburban, and rural areas. We examine these issues by considering the diurnal cycle of NO 2 over the United States, using the large NO 2 monitoring network supported by states, tribes, and the US Environmental Protection Agency (EPA). Through this analysis, we identify the potential opportunities and limitations of current space-based NO 2 data in capturing diurnal change. Ground-based monitoring data from the US EPA are compared with satellite retrievals of NO 2 from the KNMI Tropospheric Emissions Monitoring Internet Service (TEMIS) for two instruments: GOME-2 with a mid-morning overpass, and OMI with an early afternoon overpass. Satellite data show evidence of higher morning NO 2 in the vicinity of large urban areas. Both satellites and ground monitors show ∼1.5-2x greater NO 2 abundance between morning and afternoon in urban areas. Despite differences in horizontal resolution and overpass time, the two satellite retrievals show similar agreement with ground-based NO 2 measurements. When analyzed on a pixel-by-pixel basis, we find evidence for spatial structure in the diurnal change in NO 2 between city center and surrounding areas in Southern California. Wider analysis of urban-suburban structure in diurnal NO 2 change is hindered by resolution differences in the two satellite instruments, which have the potential to create data artefacts. This study highlights the value of future geostationary instruments to provide comparable satellite retrievals for NO 2 over the course of a day, and research needs related to the effective utilization of NO 2 satellite data for air quality applications.

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A high-resolution and observationally constrained OMI NO<sub>2</sub> satellite retrieval

Cited by 68 publications

References 100 publications

Disentangling the Drivers of the Summertime Ozone‐Temperature Relationship Over the United States

Disentangling the Drivers of the Summertime Ozone‐Temperature Relationship Over the United States

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

Evaluating current satellite capability to observe diurnal change in nitrogen oxides in preparation for geostationary satellite missions

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