Assessment of the aerosol optical depths measured by satellite-based passive remote sensors in the Alberta oil sands region

Sioris, Christopher E.; McLinden, Chris A.; Shephard, Mark W.; Fioletov, Vitali; Abboud, Ihab

doi:10.5194/acp-17-1931-2017

Cited by 14 publications

(12 citation statements)

References 41 publications

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“…The Aqua and Terra MODIS AOD datasets appeared to have a negative bias (y-intercept) at both the 10-km (−0.035 to −0.020) and 3-km resolutions (−0.018 to 0.006). The negative bias, indicated by the y-intercept, of MODIS AOD is consistent with the findings of Sherman et al, Levy et al, and Sioris et al [12,19,33]. Also, the RMSE of the Bonanza Creek 10-km data was slightly lower than that of the 3-km data.…”

Section: Error and Biassupporting

confidence: 90%

An Evaluation of MODIS-Retrieved Aerosol Optical Depth over AERONET Sites in Alaska

McPhetres

Aggarwal

2018

Remote Sensing

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The air quality monitoring network in Alaska is currently limited to ground-based observations in urban areas and national parks, leaving a large proportion of the state unmonitored. The use of Moderate Resolution Imaging Spectroradiometer MODIS aerosol optical depth (AOD) to estimate ground-level particulate pollution concentrations has been successfully demonstrated around the world and could potentially be used in Alaska. In this work, MODIS AOD measurements at 550 nm were validated against AOD derived from two ground-based Aerosol Robotic Network (AERONET) sunphotometers in Alaska, located at Utqiagvik (previously known as Barrow) and Bonanza Creek, to determine if MODIS AOD from the Terra and Aqua satellites could be used to estimate ground-level particulate pollution concentrations. The MODIS AOD was obtained from MODIS collection 6 using the dark target Land and Ocean algorithms from years 2000 to 2014. MODIS data could only be obtained between the months of April and October; therefore, it was only evaluated for those months. Individual and combined Terra and Aqua MODIS data were considered. The results showed that MODIS collection 6 products at 10-km resolution for Terra and Aqua combined are not valid over land but are valid over the ocean. Note that the individual Terra and Aqua MODIS collection 6 AOD products at 10-km resolution are valid over land individually but not when combined. Results also suggest the MODIS collection 6 AOD products at 3-km resolution are valid over land and ocean and perform better over land than the 10-km product. These findings indicate that MODIS collection 6 AOD products can be used quantitatively in air quality applications in Alaska during the summer months.

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Section: Error and Biassupporting

confidence: 90%

An Evaluation of MODIS-Retrieved Aerosol Optical Depth over AERONET Sites in Alaska

McPhetres

Aggarwal

2018

Remote Sensing

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“…The discrepancies observed between ground-based and satellite-retrieved AOD in the western U.S. are likely due to the underestimation of surface reflectance over heterogeneous surfaces [ 14 , 16 ]. Similar results were found in Lahore and Karachi, Pakistan [ 37 ], and Alberta, Canada [ 38 ], where elevated surface reflectance diminished the accuracy of AOD satellite retrievals. The DB algorithm from collection 6.1 is the recommended MODIS aerosol product for use over bright surfaces.…”

Section: Discussionsupporting

confidence: 77%

Development of a Multispectral Albedometer and Deployment on an Unmanned Aircraft for Evaluating Satellite Retrieved Surface Reflectance over Nevada’s Black Rock Desert

Boehmler

Loría-Salazar

Stevens

et al. 2018

Sensors

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Bright surfaces across the western U.S. lead to uncertainties in satellite derived aerosol optical depth (AOD) where AOD is typically overestimated. With this in mind, a compact and portable instrument was developed to measure surface albedo on an unmanned aircraft system (UAS). This spectral albedometer uses two Hamamatsu micro-spectrometers (range: 340–780 nm) for measuring incident and reflected solar radiation at the surface. The instrument was deployed on 5 October 2017 in Nevada’s Black Rock Desert (BRD) to investigate a region of known high surface reflectance for comparison with albedo products from satellites. It was found that satellite retrievals underestimate surface reflectance compared to the UAS mounted albedometer. To highlight the importance of surface reflectance on the AOD from satellite retrieval algorithms, a 1-D radiative transfer model was used. The simple model was used to determine the sensitivity of AOD with respect to the change in albedo and indicates a large sensitivity of AOD retrievals to surface reflectance for certain combinations of surface albedo and aerosol optical properties. This demonstrates the need to increase the number of surface albedo measurements and an intensive evaluation of albedo satellite retrievals to improve satellite-derived AOD. The portable instrument is suitable for other applications as well.

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“…nasa.gov/, last access: 12 December 2018). Daily AOD data with Level 2.0 quality were used in the analysis (Smirnov et al, 2000). Level 2.0 AOD retrievals are accurate up to 0.02 for mid-visible wavelengths.…”

Section: Data-matching Approachmentioning

confidence: 99%

Comparative analysis of MODIS, MISR, and AERONET climatology over the Middle East and North Africa

Farahat

2019

Ann. Geophys.

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Comparative analysis of Multi-angle Imaging SpectroRadiometer (MISR), Moderate Resolution Imaging Spectroradiometer (MODIS), and Aerosol Robotic Network (AERONET) aerosol optical depth (AOD) products is performed over seven AERONET stations located in the Middle East and North Africa for the period of 2000-2015. Sites are categorized into dust, biomass burning, and mixed aerosol conditions. MISR and MODIS AOD agree during high-dust seasons but MODIS tends to underestimate AOD during low-dust seasons. Over dust-dominated sites, MODIS/Terra AODs indicate a negative trend over time, while MODIS/Aqua, MISR, and AERONET depict a positive trend. A deviation between MODIS/Aqua and MODIS/Terra was observed regardless of the geographic location and data sampling. The performance of MODIS is similar over the entire region with ∼ 64 % of AOD within the τ = ±0.05 ± 0.15τ AERO confidence range. MISR AOD retrievals fall within 84 % of the same confidence range for all sites examined here. Both MISR and MODIS capture aerosol climatology; however few cases were observed where one of the two sensors better captures the climatology over a certain location or AOD range than the other sensor. AERONET Level 2.0 version 3, MODIS Collection 6.1, and MISR V23 data have been used in analyzing the results presented in this study.

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Assessment of the aerosol optical depths measured by satellite-based passive remote sensors in the Alberta oil sands region

Abstract: Abstract. Several satellite aerosol optical depth (AOD) prod-

Cited by 14 publications

References 41 publications

An Evaluation of MODIS-Retrieved Aerosol Optical Depth over AERONET Sites in Alaska

An Evaluation of MODIS-Retrieved Aerosol Optical Depth over AERONET Sites in Alaska

Development of a Multispectral Albedometer and Deployment on an Unmanned Aircraft for Evaluating Satellite Retrieved Surface Reflectance over Nevada’s Black Rock Desert

Comparative analysis of MODIS, MISR, and AERONET climatology over the Middle East and North Africa

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