Abstract
The Multiangle Imaging SpectroRadiometer (MISR) launched by NASA in late 1999 has a unique multiangle design, which points nine cameras at fixed angles along the satellite flight track and collects reflected solar radiation simultaneously. This design allows the retrieval of a rich dataset of particle abundance, shape and composition over both land and ocean. Some of its capabilities have not been seen by any currently operating satellite aerosol sensors. Since MISR is sensitive to fine particles, it provides a new data source to study the spatial and temporal characteristics of air quality over large geographical regions. We first briefly introduce the MISR instrument, the retrieval and structure of MISR aerosol data, and then review the applications of MISR aerosol data in various aspects of air quality research since its launch. These include the spatial distributions of particle pollution events such as dust storms, wild fires, and urban pollution. Because of the high quality of MISR aerosol data, they can be used as quantitative indicators of particle pollution levels. We review the current modeling studies of surface level particle concentrations. Next, we introduce research results using MISR’s advanced data such as the plume heights, and particle microphysical properties. In the discussion, we compare MISR research with current MODIS research to the best of our ability as MODIS data have been more extensively explored by the Chinese scientific community. Finally, we summarize the advantages and disadvantages of MISR data related to its applications to the air quality research. Given the highly quantitative measurements and comprehensive aerosol information MISR can provide, we believe that it will provide great values to advance our understanding of the particle air pollution in China.
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References
Samet J M, Dominici F, Curriero F C, et al. Fine particulate air pollution and mortality in 20 U.S. cities, 1987–1994. N Engl J Med, 2000, 343(24): 1742–1749
Vedal S, Petkau J, White R, et al. Acute effects of ambient inhalable particles in asthmatic and nonasthmatic children. Am J Respir Crit Care Med, 1998, 157(4): 1034–1043
Pope C A, Dockery D W. Health effects of fine particulate air pollution: Lines that connect. J Air Waste Manage Assoc, 2006, 56(6): 709–742
Smith K R, Jantunen M. Why particles? Chemosphere, 2002, 49(9): 867–871
He K B, Yang F M, Ma Y L, et al. The characteristics of PM2.5 in Beijing. China. Atmos Environ, 2001, 35(29): 4959–4970
Ye B, Jia X, Yang H, et al. Concentration and chemical composition of PM2.5 in Shanghai for a 1-year period. Atmos Environ, 2003, 37(4): 499–510
Kaufman Y J, Herring D, Ranson K, et al. Earth observing system AM 1 mission to Earth. IEEE Trans Geosci Remote Sensing, 1998, 36(4): 1045–1055
Remer L A, Kaufman Y J, Tanre D, et al. The MODIS aerosol algorithm, products, and validation. J Atmos Sci, 2005, 62(4): 947–973
Diner D, Beckert J, Reilly T H, et al. Multi-angle Imaging Spectro-Radiometer (MISR) instrument description and experiment overview. IEEE Trans Geosci Remote Sensing, 1998, 36(4): 1072–1087
Martonchik J V, Diner D J, Kahn R A, et al. Techniques for the retrieval of aerosol properties over land and ocean using multiangle imaging. IEEE Trans Geosci Remote Sensing, 1998, 36(4): 1212–1227
Diner D J, Braswell B H, Davies R, et al. The value of multiangle measurements for retrieving structurally and radiatively consistent properties of clouds, aerosols, and surfaces. Remote Sens Environ, 2005, 97(4): 495–518
Feng X, Zhao S, Chen Y. Inversion of MISR Broadband albedo and its relationship with atmospheric conditions (in Chinese). Remote Sens Land Resour, 2003, 58(4): 22–25
Han B, Kang L, Chen Y, et al. An optimized fusion predictor for MISR remote sensing data (in Chinese). J Wuhan Univ Technol, 2006, 28(7): 97–100
Han B, Kang L, Chen Y, et al. A fusion prediction model for spatial target based on remote sensing data (in Chinese). Comput Eng, 2006, 32(14): 35–39
Kahn R, Banerjee P, McDonald D. Sensitivity of multiangle imaging to natural mixtures of aerosols over ocean. J Geophys Res, 2001, 106(D16): 18219–18238
Kahn R, Banerjee P, McDonald D, et al. Sensitivity of multiangle imaging to aerosol optical depth and to pure-particle size distribution and composition over ocean. J Geophys Res, 1998, 103(D24): 32195–32213
Kalashnikova O V, Kahn R. Ability of multiangle remote sensing observations to identify and distinguish mineral dust types: 2. Sensitivity over dark water. J Geophys Res, 2006, 111(D11): Art. No. D11207
Kalashnikova O V, Kahn R, Sokolik I N, et al. Ability of multiangle remote sensing observations to identify and distinguish mineral dust types: Optical models and retrievals of optically thick plumes. J Geophys Res, 2005, 110(D18): D18S14
Holben B, Eck T F, Slutsker I, et al. AERONET: A federated instrument network and data archive for aerosol characterization. Remote Sens Environ, 1998, 66(1): 1–16
Smirnov A. Cloud-screening and quality control algorithms for the AERONET database. Remote Sens Environ, 2000, 73(3): 337–349
Russell P B, Livingston J M, Redemann J, et al. Multi-grid-cell validation of satellite aerosol property retrievals in INTEX/ITCT/ICARTT 2004. J Geophys Res, 2007, 112(D12): D12S09
Schmid B, Redemann J, Russell P, et al. Coordinated airborne, spaceborne, and ground-based measurements of massive thick aerosol layers during the dry season in southern Africa. J Geophys Res, 2003, 108(D13): 8496
Liu Y, Sarnat J A, Coull B A, et al. Validation of multiangle imaging spectroradiometer (MISR) aerosol optical thickness measurements using aerosol robotic network (AERONET) observations over the contiguous United States. J Geophys Res, 2004, 109(D6): D06205
Kahn R A, Gaitley B J, Martonchik J V, et al. Multiangle Imaging Spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations. J Geophys Res, 2005, 110(D10): D10S04
Abdou W A, Diner D J, Martonchik J V, et al. Comparison of coincident Multiangle Imaging SpectroRadiometer and Moderate Resolution Imaging Spectroradiometer aerosol optical depths over land and ocean scenes containing Aerosol Robotic Network sites. J Geophys Res, 2005, 110(D10): D10S07
Prasad A, Singh R. Comparison of MISR-MODIS aerosol optical depth over the Indo-Gangetic basin during the winter and summer seasons (2000–2005). Remote Sens Environ, 2007, 107(1–2): 109–119
Li C C, Mao J T, Lau K-H A, et al. Characteristics of distribution and seasonal variation of aerosol optical depth in eastern China with MODIS products. Chin Sci Bull, 2003, 48(22): 2488–2495
Martonchik J, Diner D, Kahn R, et al. Comparison of MISR and AERONET aerosol optical depths over desert sites. Geophys Res Lett, 2004, 31(16): L16102
Christopher S A, Wang J. Intercomparison between Multi-angle Imaging SpectRoradiometer (MISR) and sunphotometer aerosol optical thickness in dust source regions over China: Implications for satellite aerosol retrievals and radiative forcing calculations. Tellus Ser B-Chem Phys Meteorol, 2004, 56(5): 451–456
Jiang X, Liu Y, Yu B, et al. Comparison of MISR aerosol optical thickness with AERONET measurements in Beijing metropolitan area. Remote Sens Environ, 2007, 107(1–2): 45–53
Solomon F, Giorgi F, Liousse C. Aerosol modelling for regional climate studies: Application to anthropogenic particles and evaluation over a European/African domain. Tellus Ser B-Chem Phys Meteorol, 2006, 58(1): 51–72
Liu L, Lacis A A, Carlson B E, et al. Assessing Goddard Institute for Space Studies ModelE aerosol climatology using satellite and ground-based measurements: A comparison study. J Geophys Res, 2006, 111(D20): D20212
Li C C, Mao J T, Liu Q. Characteristics of aerosol optical depth distributions over Sichuan Basin derived from MODIS data. J Appl Meteorol, 2003, 14(1): 1–7
Liu G, Mao J T, Li C C. Optical depth study on atmospheric aerosol in Yangtze River Delta region, Shanghai (in Chinese). Environ Sci, 2003, 22(Suppl.): 58–63
Li C C, Liu Q, Mao J T, et al. An aerosol pollution episode in Hongkong with remote sensing products of MODIS and Lidar. J Appl Meteorol, 2004, 15(6): 641–651
Martonchik J, Diner D J, Crean K A, et al. Regional aerosol retrieval results from MISR. IEEE Trans Geosci Remote Sensing, 2002, 40(7): 1520–1531
Kahn R A, Li W H, Moroney C, et al. Aerosol source plume physical characteristics from space-based multiangle imaging. J Geophys Res, 2007, 112(D11): D11205
Frank T D, Di Girolamo L, Geegan S. The spatial and temporal variability of aerosol optical depths in the Mojave Desert of southern California. Remote Sens Environ, 2007, 107(1–2): 54–64
Prasad A K, Singh R P, Kafatos M. Influence of coal based thermal power plants on aerosol optical properties in the Indo-Gangetic basin. Geophys Res Lett, 2006, 33(5): L05805
Di Girolamo L, Bond T C, Bramer D, et al. Analysis of Multi-angle Imaging SpectroRadiometer (MISR) aerosol optical depths over greater India during winter 2001–2004. Geophys Res Lett, 2004, 31(23): L23115
Jordan C E, Dibb J E, Anderson B E, et al. Uptake of nitrate and sulfate on dust aerosols during TRACE-P. J Geophys Res, 2003, 108(D21): 1–10
Xia L, Wang D, Wang F. Researches on the advanced warning system and advanced warning grade of the photochemical smog pollution in Guangzhou city based on MODIS data (in Chinese). Remote Sens Land Resour, 2006, 70(4): 73–76
Wang H, Zha Y. Urban air quality by MODIS AOT products (in Chinese). Urban Environ Urban Ecol, 2006, 19(3): 21–24
Han J, Wang S, Qi B, et al. Distribution of aerosol optical thickness and its relation with dusty weather in China (in Chinese). J Desert Res, 2006, 26(3): 362–369
Li C C, Mao J T, Liu Q, et al. Research on the air pollution in Beijing and its surroundings with MODIS AOD products (in Chinese). Chin J Atmos Sci, 2003, 27(5): 869–882
Sun J, Su J, Lu X, et al. Application of aerosol optical depth data from MODIS to retrieve visibility. Environ Sci Manag, 2006, 31(5): 97–101
Chow J, Watson J, Lowenthal D, et al. Comparability between PM2.5 and particle light scattering measurements. Environ Monit Assess, 2002, 79(1): 29–45
Li C C, Lau K-H A, Mao J T, et al. Retrieval, validation, and application of the 1-km aerosol optical depth from MODIS measurements over Hong Kong. IEEE Trans Geosci Remote Sensing, 2005, 43(11): 2650–2658
Liu Y, Sarnat J A, Kilaru A, et al. Estimating ground-level PM2.5 in the eastern united states using satellite remote sensing. Environ Sci Technol, 2005, 39(9): 3269–3278
Liu Y, Franklin M, Kahn R, et al. Using aerosol optical thickness to predict ground-level PM2.5 concentrations in the St. Louis area: A comparison between MISR and MODIS. Remote Sens Environ, 2007, 107(1–2): 33–44
Vermote E F, Roger J C, Sinyuk A, et al. Fusion of MODIS-MISR aerosol inversion for estimation of aerosol absorption. Remote Sens Environ, 2007, 107(1–2): 81–89
Liu Y, Park R J, Jacob D J, et al. Mapping annual mean ground-level PM2.5 concentrations using Multiangle Imaging Spectroradiometer aerosol optical thickness over the contiguous United States. J Geophys Res, 2004, 109(D22): D22206
Bey I, Jacob D J, Yantosca R M, et al. Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation. J Geophys Res, 2001, 106(D19): 23073–23095
Park R J, Jacob D J, Field B D, et al. Natural and transboundary pollution influences on sulfate-nitrate-ammonium aerosols in the United States: Implications for policy. J Geophys Res, 2004, 109(D15): D15204
Ginoux P, Chin M, Tegen I, et al. Sources and distributions of dust aerosols simulated with the GOCART model. J Geophys Res, 2001, 106(D17): 20255–20273
Van Donkelaar A, Martin R V, Park R J. Estimating ground-level PM2.5 using aerosol optical depth determined from satellite remote sensing. J Geophys Res, 2006, 111(D21): D21201
Muller J P, Mandanayake A, Moroney C, et al. MISR stereoscopic image matchers: Techniques and results. IEEE Trans Geosci Remote Sensing, 2002, 40(7): 1547–1559
Stenchikov G, Lahoti N, Diner D J, et al. Multiscale plume transport from the collapse of the World Trade Center on September 11, 2001. Environ Fluid Mech, 2006, 6(5): 425–450
Mazzoni D, Logan J, Diner D, et al. A data-mining approach to associating MISR smoke plume heights with MODIS fire measurements. Remote Sens Environ, 2007, 107(1–2): 138–148
Liu Y, Kahn R, Koutrakis P. Estimating PM2.5 component concentrations and size distributions using satellite retrieved fractional aerosol optical depth: Part I—Method development. J Air Waste Manage Assoc, 2007, 57(11): 1351–1359
Liu Y, Kahn R, Turquety S, et al. Estimating PM2.5 component concentrations and size distributions using satellite retrieved fractional aerosol optical depth: Part II—A case study. J Air Waste Manage Assoc, 2007, 57(11): 1360–1369
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Supported by Harvard-EPA Center on Particle Health Effects (Grant Nos. R-827353 and R-832416), NASA’s Climate and Radiation Research and Analysis Program, the EOS-MISR Instrument Project and the National High Technology Research and Development Program of China (Grant No. 2006AA06A305).
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Liu, Y., Chen, D., Kahn, R.A. et al. Review of the applications of Multiangle Imaging SpectroRadiometer to air quality research. Sci. China Ser. D-Earth Sci. 52, 132–144 (2009). https://doi.org/10.1007/s11430-008-0149-6
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DOI: https://doi.org/10.1007/s11430-008-0149-6