The use of MODIS data and aerosol products for air quality prediction

Hutchison, Keith D.; Smith, Solar S; Faruqui, Shazia J.

doi:10.1016/j.atmosenv.2004.06.032

Cited by 45 publications

(19 citation statements)

References 8 publications

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“…The relative humidity of Shanghai is higher than that of Beijing and Wuhan. A higher humidity would lead to a stronger extinction coefficient and eventually lead to a higher AOD [51][52][53]. Guangzhou is located in Southern China which has a South Asian tropical monsoon climate.…”

Section: Estimation Of the Random Errormentioning

confidence: 99%

Feasibility Study on Measuring Atmospheric CO2 in Urban Areas Using Spaceborne CO2-IPDA LIDAR

Han

Gong

et al. 2018

Remote Sensing

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Abstract:Since over 70% of carbon emissions are from urban areas, it is of great importance to develop an effective measurement technique that can accurately monitor atmospheric CO 2 in global urban areas. Remote sensing could be an effective way to achieve this goal. However, due to high aerosol loading in urban areas, there are large, inadequately resolved areas in the CO 2 products acquired by passive remote sensing. China is planning to launch the Atmospheric Environment Monitoring Satellite (AEMS) equipped with a CO 2 -light detecting and ranging (LIDAR) system. This work conducted a feasibility study on obtaining city-scale column CO 2 volume mixing ratios (XCO 2 ) using the LIDAR measurements. A performance framework consisting of a sensor model, sampling model, and environmental model was proposed to fulfill our demand. We found that both the coverage and the accuracy of the LIDAR-derived city-scale XCO 2 values were highly dependent on the orbit height. With an orbit height of 450 km, random errors of less than 0.3% are expected for all four metropolitan areas tested in this work. However, random errors of less than 0.3% were obtained in only two metropolitan areas with an orbit height of 705 km. Our simulations also showed that off-nadir sampling would improve the performance of a CO 2 -Integrated Path Differential Absorption (IPDA) LIDAR system operating in a 705 km orbit. These results indicate that an active remote sensing mission could help to effectively measure XCO 2 values in urban areas. More detailed studies are needed to reveal the potential of such equipment for improving the verification of carbon emissions and the estimation of urban carbon fluxes.

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Section: Estimation Of the Random Errormentioning

confidence: 99%

Feasibility Study on Measuring Atmospheric CO2 in Urban Areas Using Spaceborne CO2-IPDA LIDAR

Han

Gong

et al. 2018

Remote Sensing

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“…On a global scale, remote sensing instruments such as MODIS on aboard both polar orbiting TERRA and AQUA satellites continue to produce global AOD maps retrieved from backscattered solar radiation through the atmosphere (King et al, 1992;Kaufman et al, 2003;Levy et al, 2003;Hutchison et al, 2005;Tang et al, 2005). These satellite-based remote sensing techniques offer a much wider spatial view than in-situ or surface-based radiometric observations.…”

Section: Introductionmentioning

confidence: 99%

Study on Long-term Aerosol Distribution over the Land of East China Using MODIS Data

Geng

et al. 2012

Aerosol Air Qual. Res.

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East China is among the fastest developing area in Asia, where atmospheric aerosol loading is high due to heavy urban and industrial emission. The Moderate Resolution Imaging Spectroradiometer (MODIS) level 2 aerosol products (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007) were used to study aerosol spatial and temporal distributions, as well as their variations with local meteorological conditions over East China. By combining Aerosol Optical Depth (AOD) and aerosol Fine Mode Fraction (FMF), we found that the urban/industrial aerosol and soil dust are possibly two dominant species over northern part, whereas continental and marine aerosols possibly dominate the southern part of East China. Both annual mean AOD and area with high AOD increased from 2000 to 2007, with the largest increase seen in Yangtze River Delta region (YRD). In summer, AOD in East China reached the maximum of about 0.8 in YRD, dominated by fine mode particles. The minimum AOD occurred in winter with mostly coarse mode particles. Local aerosol properties were analyzed in three typical zones: the northern dry zone (I), the central urban/industrial zone (II) and the southern natural background zone (III). Monthly mean AODs in zone I and II were above 0.5 throughout the entire year, with the maximum AOD in June. High FMFs in this period indicated heavy urban and industrial pollution. Monthly mean AODs and FMFs in zone III reached maximum of 0.51 in April and September (up to 90.7%) respectively. High AOD in spring in zone III appears mostly due to the long-range dust transport from the North.

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“…Currently, three algorithms are used operationally to provide products to the public -the dark target algorithm over land (Kaufman et al, 1997a;Levy et al, 2007bLevy et al, , 2010, the dark target algorithm over ocean (Tanré et al, 1997;Remer et al, 2005Remer et al, , 2008) andair quality conditions (e.g. Hutchison, 2003;Wang and Christopher, 2003;Chu et al, 2003;Engels-Cox et al, 2004;Hutchison et al, 2004). The MODIS instruments are particularly appealing for air quality applications because the broad (2330 km) swath of the instrument allows most global locations to be monitored on a nearly daily basis.…”

Section: Introductionmentioning

confidence: 99%

MODIS 3 km aerosol product: applications over land in an urban/suburban region

et al. 2013

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Abstract. MODerate resolution Imaging Spectroradiometer (MODIS) instruments aboard the Terra and Aqua satellites have provided a rich dataset of aerosol information at a 10 km spatial scale. Although originally intended for climate applications, the air quality community quickly became interested in using the MODIS aerosol data. However, 10 km resolution is not sufficient to resolve local scale aerosol features. With this in mind, MODIS Collection 6 includes a global aerosol product with a 3 km resolution. Here, we evaluate the 3 km product over the Baltimore–Washington D.C., USA, corridor during the summer of 2011 by comparing with spatially dense aerosol data measured by airborne High Spectral Resolution Lidar (HSRL) and a network of 44 sun photometers (SP) spaced approximately 10 km apart, collected as part of the DISCOVER-AQ field campaign. The HSRL instrument shows that AOD can vary by over 0.2 within a single 10 km MODIS pixel, meaning that higher resolution satellite retrievals may help to better characterize aerosol spatial distributions in this region. Different techniques for validating a high-resolution aerosol product against SP measurements are considered. Although the 10 km product is more statistically reliable than the 3 km product, the 3 km product still performs acceptably with nearly two-thirds of MODIS/SP collocations falling within an expected error envelope with high correlation (R > 0.90), although with a high bias of ~ 0.06. The 3 km product can better resolve aerosol gradients and retrieve closer to clouds and shorelines than the 10 km product, but tends to show more noise, especially in urban areas. This urban degradation is quantified using ancillary land cover data. Overall, we show that the MODIS 3 km product adds new information to the existing set of satellite derived aerosol products and validates well over the region, but due to noise and problems in urban areas, should be treated with some degree of caution.

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The use of MODIS data and aerosol products for air quality prediction

Cited by 45 publications

References 8 publications

Feasibility Study on Measuring Atmospheric CO2 in Urban Areas Using Spaceborne CO2-IPDA LIDAR

Feasibility Study on Measuring Atmospheric CO2 in Urban Areas Using Spaceborne CO2-IPDA LIDAR

Study on Long-term Aerosol Distribution over the Land of East China Using MODIS Data

MODIS 3 km aerosol product: applications over land in an urban/suburban region

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