TROPOMI aerosol products: evaluation and observations of synoptic-scale carbonaceous aerosol plumes during 2018–2020

Torres, Omar; Jethva, Hiren; Ahn, C.; Jaross, Glen; Loyola, Diego

doi:10.5194/amt-13-6789-2020

Cited by 56 publications

(40 citation statements)

References 33 publications

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“…2 , 3 , 4 ) revealed an impact concentrated primarily in the South Pacific marginal seas due to the dominance of coarse mineral dust particles and the potentially faster settling rate 33 , 34 . The fine smoke particles had a longer and more widespread influence, even across the South Pacific Ocean; this was consistent with the detailed backward trajectory analysis and TROPOMI observations 35 , 36 . According to the ΔUVAI in Fig.…”

Section: Discussionsupporting

confidence: 86%

2019‒2020 Australian bushfire air particulate pollution and impact on the South Pacific Ocean

Shen

Sun

2021

Sci Rep

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During late 2019 and early 2020, Australia experienced one of the most active bushfire seasons that advected large emissions over the adjacent ocean. Herein, we present a comprehensive research on mixed atmospheric aerosol particulate pollution emitted by wildfires in the atmosphere and the ocean. Based on a wide range of physical and biochemical data, including the Aerosol Robotic Network, multi-satellite observations, and Argo floats, we investigated the spatio-temporal variations and mixed compositions of aerosol particles, deposition in the coastal waters of eastern Australia and the South Pacific Ocean, and biogeochemical responses in the water column. Four types of wildfire-derived mixed particles were classified by using the optical properties of aerosols into four types, including the background aerosols, mineral dust, wildfire smoke particles, and residual smoke. The coarse particles accounted for more than 60% of the mineral dust on 22 November 2019 in the Tasman Sea; afterwards, during the wildfire smoke episode from December 2019 to January 2020, the particles affected large areas of the atmosphere such as eastern Australia, the South Pacific Ocean, and South America. The maximum value of the aerosol optical depth reached 2.74, and the proportion of fine particles accounted for 98.9% in the smoke episode. Mineral dust and smoke particles from the fire emissions changed the particle composition in the surface ocean. Particle deposition accounted for increases in chlorophyll-a concentration (Chla) standardized anomaly up to maximum of 23.3 with a lag time of less than 8 days. In the vertical direction, float observations showed the impact of exogenous particles on the water column could up to 64.7 m deep, resulting in Chla of 1.85 mg/m3. The high Chla lasted for a minimum period of two months until it returned to normal level.

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Section: Discussionsupporting

confidence: 86%

2019‒2020 Australian bushfire air particulate pollution and impact on the South Pacific Ocean

Shen

Sun

2021

Sci Rep

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“…Because of the aerosol height sensitivity, the product is reported for several effective heights (0, 1.5, 3, 6, and 10 km). OMAERUV is currently the baseline algorithm used to process data from several instruments having UV capability, including DSCOVR/EPIC, OMPS on SNPP platform, as well as S5p/TropOMI (Torres et al, 2020), and GEMS (Kim et al, 2020) imaging spectrometers.…”

Section: Introductionmentioning

confidence: 99%

Retrievals of Aerosol Optical Depth and Spectral Absorption From DSCOVR EPIC

Lyapustin¹,

Go²,

Korkin³

et al. 2021

Front. Remote Sens.

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A new algorithm is described for joint retrievals of the aerosol optical depth and spectral absorption from EPIC observations in the UV—Vis spectral range. The retrievals are illustrated on examples of the wildfire smoke events over North America, and dust storms over greater Sahara region in 2018. An initial evaluation of single scattering albedo (SSA) at 443 nm over these regions shows a good agreement with AERONET data, generally within the uncertainty of AERONET SSA of ± 0.03. A particularly good agreement is achieved for dust with R~0.62, rmse~0.02, negligible bias, and 85% points within the expected error. This new capability is part of version 2 MAIAC EPIC algorithm. The v2 algorithm has recently completed reprocessing of the EPIC record covering the period of 2015–2020.

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“…In addition to the above quantitative products, EPICAERUV also reports the qualitative UV Aerosol Index, a well‐documented and widely used parameter (Herman et al., 1997; Torres et al., 1998, 2018; Torres, Bhartia, et al., 2020; Torres, Jethva, et al., 2020) that detects the presence of absorbing aerosols (carbonaceous particles, desert dust, volcanic ash) under all observing conditions, even in cloud‐aerosol mixtures, and above all underlying scene types, including clouds and snow/ice‐covered surfaces. EPIC extends the nearly 40‐year long record of this parameter derived from observations from a number of UV‐capable spaceborne sensors.…”

Section: Aerosol Algorithmmentioning

confidence: 99%

Evaluation of Aerosol Properties Observed by DSCOVR/EPIC Instrument From the Earth‐Sun Lagrange 1 Orbit

et al. 2021

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Frequent observations of aerosols from space are essential for studying aerosol effects on climate and air quality applications. We present results of aerosol properties derived from observations made by the Earth Polychromatic Imaging Camera (EPIC) sensor onboard the Deep Space Climate Observatory satellite. EPIC's near‐hourly measured radiances at 340 and 388 nm from sun rise to sunset have been used as input to the EPIC near‐UV aerosol algorithm (EPICAERUV) for retrieving aerosol extinction optical depth (AOD), single scattering albedo (SSA), above‐cloud aerosol optical depth (ACAOD), and ultraviolet Aerosol Index. Comparisons of AERONET and EPIC daily mean AOD values at eight selected representative sites yield correlation coefficients in the range from 0.68 to 0.89 and root mean square errors from 0.10 to 0.31. A similar comparison of EPIC‐retrieved SSA against the AERONET inverted SSA product revealed nearly 51% (76%) of matchups in agreement within ±0.03 (±0.05). Furthermore, the retrievals of ACAOD are also found to compare reasonably well, with 50%–70% of matchups falling within expected uncertainty against the direct airborne measurements acquired during the ObseRvations of Aerosols above CLouds and their intEractionS campaign. Using the EPICAERUV aerosol product, we analyzed the spatial and temporal patterns of specific smoke events caused by wildfires over North America over the last four years.

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TROPOMI aerosol products: evaluation and observations of synoptic-scale carbonaceous aerosol plumes during 2018–2020

Cited by 56 publications

References 33 publications

2019‒2020 Australian bushfire air particulate pollution and impact on the South Pacific Ocean

2019‒2020 Australian bushfire air particulate pollution and impact on the South Pacific Ocean

Retrievals of Aerosol Optical Depth and Spectral Absorption From DSCOVR EPIC

Evaluation of Aerosol Properties Observed by DSCOVR/EPIC Instrument From the Earth‐Sun Lagrange 1 Orbit

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