Observation of Asian dust and air-pollution aerosols using a network of ground-based lidars (ADNet): Realtime data processing for validation/assimilation of chemical transport models

Sugimoto, Naoki; Uno, I.

doi:10.1088/1755-1307/7/1/012003

Cited by 15 publications

(13 citation statements)

References 7 publications

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“…Collocated in situ surface concentration measurements are essential to investigate relationship between column measurements and surface concentrations. Surface concentrations of trace gases and aerosols are available from the more than 400 ground stations of AirKorea including six supersites (www.airkorea.or.kr), acid deposition Network in East Asia (EANET; Sugimoto and Uno 2009), and the WMO Ozone and UV Data Center (WOUDC; https://woudc.org/). Details of each measurement network can be found in Table ES4.…”

Section: Validation Planmentioning

confidence: 99%

New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS)

Kim

Jeong

Ahn

et al. 2020

Bulletin of the American Meteorological Society

235

108

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The Geostationary Environment Monitoring Spectrometer (GEMS) is scheduled for launch in February 2020 to monitor air quality (AQ) at an unprecedented spatial and temporal resolution from a geostationary Earth orbit (GEO) for the first time. With the development of UV–visible spectrometers at sub-nm spectral resolution and sophisticated retrieval algorithms, estimates of the column amounts of atmospheric pollutants (O3, NO2, SO2, HCHO, CHOCHO, and aerosols) can be obtained. To date, all the UV–visible satellite missions monitoring air quality have been in low Earth orbit (LEO), allowing one to two observations per day. With UV–visible instruments on GEO platforms, the diurnal variations of these pollutants can now be determined. Details of the GEMS mission are presented, including instrumentation, scientific algorithms, predicted performance, and applications for air quality forecasts through data assimilation. GEMS will be on board the Geostationary Korea Multi-Purpose Satellite 2 (GEO-KOMPSAT-2) satellite series, which also hosts the Advanced Meteorological Imager (AMI) and Geostationary Ocean Color Imager 2 (GOCI-2). These three instruments will provide synergistic science products to better understand air quality, meteorology, the long-range transport of air pollutants, emission source distributions, and chemical processes. Faster sampling rates at higher spatial resolution will increase the probability of finding cloud-free pixels, leading to more observations of aerosols and trace gases than is possible from LEO. GEMS will be joined by NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) and ESA’s Sentinel-4 to form a GEO AQ satellite constellation in early 2020s, coordinated by the Committee on Earth Observation Satellites (CEOS).

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Section: Validation Planmentioning

confidence: 99%

New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS)

Kim

Jeong

Ahn

et al. 2020

Bulletin of the American Meteorological Society

235

108

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“…Lidars, on the other hand, are capable of determining the vertical distribution of aerosols with high spatial and temporal resolution. Several ground-based lidar networks across the globe, such as the European Aerosol Research Lidar Network (EAR-LINET: Bösenberg et al, 2003), the Micropulse Lidar Network (MPLNET: Welton et al, 2001), and the Asian Dust Network (ADNet: Sugimoto and Uno, 2009), contribute to regular aerosol observations.…”

Section: Motivationmentioning

confidence: 99%

“…Currently, many instruments onboard satellites allow for retrievals of column-integrated properties of aerosols on a daily basis Kaufman et al, 1997;Knapp, 2002;Liu et al, 2014). In addition to satellites, a number of ground-based networks contribute continuous aerosol observations (Holben et al, 1998;Bösenberg et al, 2003;Welton et al, 2001;Sugimoto and Uno, 2009). However, despite this continuous advance, it is indisputable that many gaps in our understanding of aerosols are yet to be filled.…”

Section: Introductionmentioning

confidence: 99%

Aerosol optical and microphysical retrievals from a hybrid multiwavelength lidar data set – DISCOVER-AQ 2011

et al. 2014

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Abstract. Retrievals of aerosol microphysical properties (effective radius, volume and surface-area concentrations) and aerosol optical properties (complex index of refraction and single-scattering albedo) were obtained from a hybrid multiwavelength lidar data set for the first time. In July 2011, in the Baltimore-Washington DC region, synergistic profiling of optical and microphysical properties of aerosols with both airborne (in situ and remote sensing) and ground-based remote sensing systems was performed during the first deployment of DISCOVER-AQ. The hybrid multiwavelength lidar data set combines ground-based elastic backscatter lidar measurements at 355 nm with airborne High-SpectralResolution Lidar (HSRL) measurements at 532 nm and elastic backscatter lidar measurements at 1064 nm that were obtained less than 5 km apart from each other. This was the first study in which optical and microphysical retrievals from lidar were obtained during the day and directly compared to AERONET and in situ measurements for 11 cases. Good agreement was observed between lidar and AERONET retrievals. Larger discrepancies were observed between lidar retrievals and in situ measurements obtained by the aircraft and aerosol hygroscopic effects are believed to be the main factor in such discrepancies.

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“…Ozone is a short-lived climate pollutant (SLCP) and air pollutant that can have detrimental impacts on human health (Malley et al, 2015;Lippmann, 1991), agriculture (McKee, 1994) and ecosystems (Ashmore, 2005) when present at high enough concentrations. Tropospheric ozone is photochemically produced primarily from nitrogen oxides and volatile organic compounds (VOCs) from anthropogenic sources, is biogenically produced from forest fires (Aggarwal et al, 2018;Trickl et al, 2015) and can be enhanced through stratospheric/tropospheric transport (STT) events (Ancellet et al, 1991;Langford et al, 1996;Leblanc et al, 2011;Stohl and Trickl, 1999). Both of these latter sources can have significant impacts on ozone concentration although typically their impacts vary within the vertical distribution of the troposphere.…”

Section: Introductionmentioning

confidence: 99%

“…For details of the intercomparison refer to a separate publication (manuscript in preparation). Lidar networks (http://ndacc-lidar.org, last access: 14 November 2018; http://mplnet.gsfc.nasa.gov, last access: 14 November 2018; Papayannis et al, 2008;Sugimoto and Uno, 2009) are very important scientific tools that allow the collective benefit of increased geographical coverage (Langford et al, 2018;Trickl et al, 2016) and can often provide valuable climatological data (Granados-Muñoz and Leblanc, 2016;Khaykin et al, 2017;Gaudel et al, 2015). The existence of networks like TOLNet will help to address the need for more ozone profilers in the troposphere as reported in the recent Tropospheric Ozone Assessment Report (TOAR) by Gaudel et al (2018).…”

Section: Introductionmentioning

confidence: 99%

A fully autonomous ozone, aerosol and nighttime water vapor lidar: a synergistic approach to profiling the atmosphere in the Canadian oil sands region

Strawbridge¹,

Travis²,

Firanski³

et al. 2018

Atmos. Meas. Tech.

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Lidar technology has been rapidly advancing over the past several decades. It can be used to measure a variety of atmospheric constituents at very high temporal and spatial resolutions. While the number of lidars continues to increase worldwide, there is generally a dependency on an operator, particularly for high-powered lidar systems. Environment and Climate Change Canada (ECCC) has recently developed a fully autonomous, mobile lidar system called AMOLITE (Autonomous Mobile Ozone Lidar Instrument for Tropospheric Experiments) to simultaneously measure the vertical profile of tropospheric ozone, aerosol and water vapor (nighttime only) from near the ground to altitudes reaching 10 to 15 km. This current system uses a dual-laser, dual-lidar design housed in a single climate-controlled trailer. Ozone profiles are measured by the differential absorption lidar (DIAL) technique using a single 1 m Raman cell filled with CO 2 . The DIAL wavelengths of 287 and 299 nm are generated as the second and third Stokes lines resulting from stimulated Raman scattering of the cell pumped using the fourth harmonic of a Nd:YAG laser (266 nm). The aerosol lidar transmits three wavelengths simultaneously (355, 532 and 1064 nm) employing a detector designed to measure the three backscatter channels, two nitrogen Raman channels (387 and 607 nm) and one cross-polarization channel at 355 nm. In addition, we added a water vapor channel arising from the Ramanshifted 355 nm output (407 nm) to provide nighttime water vapor profiles. AMOLITE participated in a validation experiment alongside four other ozone DIAL systems before being deployed to the ECCC Oski-ôtin ground site in the Alberta oil sands region in November 2016. Ozone was found to increase throughout the troposphere by as much as a factor of 2 from stratospheric intrusions. The dry stratospheric air within the intrusion was measured to be less than 0.2 g kg −1 . A biomass burning event that impacted the region over an 8day period produced lidar ratios of 35 to 65 sr at 355 nm and 40 to 100 sr at 532. Over the same period the Ångström exponent decreased from 1.56±0.2 to 1.35±0.2 in the 2-4 km smoke region.

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Observation of Asian dust and air-pollution aerosols using a network of ground-based lidars (ADNet): Realtime data processing for validation/assimilation of chemical transport models

Cited by 15 publications

References 7 publications

New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS)

New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS)

Aerosol optical and microphysical retrievals from a hybrid multiwavelength lidar data set – DISCOVER-AQ 2011

A fully autonomous ozone, aerosol and nighttime water vapor lidar: a synergistic approach to profiling the atmosphere in the Canadian oil sands region

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