References
- 이권호, 김정은, 김영준, 서애숙, 안명환. 2002. GMS-5 인공위성 원격탐사 자료를 이용한 대기 에어러솔 모니터링. 한국지리정보학회지 5(2):1-15.
- 이동하, 이권호, 김영준. 2006. 에어로졸 종류 구분을 위한 MODIS 에어로졸 자료의 적용. 대한원격탐사학회지 22(6):496-505. https://doi.org/10.7780/kjrs.2006.22.6.495
- Andres, R.J., and A.D. Kasgnoc. 1998. A time-averaged inventory of subaerial volcanic sulfur emissions. J. Geophys. Res., 103:25251-25261. https://doi.org/10.1029/98JD02091
- Barnaba, F. and G.P. Gobbi. 2004. 2004. Aerosol seasonal variability over the Mediterranean region and relative impact of maritime, continental and Saharan dust particles over the basin from MODIS data in the year 2001. Atmospheric Chemistry and Physics, 4: 2367-2391. https://doi.org/10.5194/acp-4-2367-2004
- Chin, M., P. Ginoux, S. Kinne, B.N. Holben, B.N. Duncan, R.V. Martin, J.A. Logan, A. Higurashi, and T. Nakajima. 2002. Tropospheric aerosol optical thickness fromt he GOCART model and comparisons with satellite and sunphotometer measurements, J. Atmos. Sci. 59:461-483. https://doi.org/10.1175/1520-0469(2002)059<0461:TAOTFT>2.0.CO;2
- Chin, M., R.B. Rood, S.-J. Lin, J.F. Muller, and A.M. Thomspon. 2000. Atmospheric sulfur cycle in the global model GOCART: Model description and global roperties, J. Geophys. Res., 105:24,671-24,687. https://doi.org/10.1029/2000JD900384
- Cook, C. Liousse, H. Cachier, and J. Feichter. 1999. Construction of a fossil fuel emission data set for carbonaceous aerosol and implementation and radiative impact in the ECHAM4 model. J. Geophys. Res., 104;22137-22162. https://doi.org/10.1029/1999JD900187
- Dubovik, O., B.N. Holben, T.F. Eck, A. Smirnov, Y.J. Kaufman, M.D. King, D. Tanre, and I. Slutsker, 2002. Variability of absorption and optical properties of key aerosol types observed in worldwide locations, J. Atm. Sci., 59: 590-608. https://doi.org/10.1175/1520-0469(2002)059<0590:VOAAOP>2.0.CO;2
- Duncan, B.N., V.M. Randall, A.C. Staudt, R. Yevich and J.A. logan. 2003. Interannual and seasonal variability of biomass burning emissions constrained by satellite observations, Journal of Geophysical Research, 108, 4040, doi:10.129/2002JD002378.
- Glaccum W., R. Lucke, R.M. Bevilacqua, E.P. Shettle, J.S. Hornstein, D.T. Chen, J.D. Lumpe, S.S. Krigman, D.J. Debrestian, M.D. Fromm, F. Dalaudier, E. Chassefiere, C. Deniel, C.E. Raneall, D.W. Rusch, J.J. Olivero, C. Brogniez, J. Lenoble, and R. Kremer. 1996. The Polar Ozone and Aerosol Measurement instrument. J. Geophys. Res. 101: 14479-14487. https://doi.org/10.1029/96JD00576
- Gordon H.R. and M. Wang. 1994. Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: A preliminary algorithm, Appl. Opt. 33:443-452. https://doi.org/10.1364/AO.33.000443
- Guenther, A., C.N. Hewitt, D. Erickson, R. Fall, C. Geron, T. Graedel, P. Harley, L. Klinger, M. Lerdau, W.A. Mckay, T. Pierce, B. Scholes, R. Steinbrecher, R. Tallamraju, J. Taylor, and P. Zimmerman. 1995. A global model of natural volatile organic compound emissions. J. Geophys. Res., 100:8873-8892. https://doi.org/10.1029/94JD02950
- Helfand, H.M. and J.C. and J.C. Labraga. 1988. Design of a nonsingular level 2.5 second-order closure model for the prediction of atmospheric turbulence. J. Atmos. Sci., 45:113-132. https://doi.org/10.1175/1520-0469(1988)045<0113:DOANLS>2.0.CO;2
- Herman, J.R., P.K. Bhartia, O. Torres, C. Hsu, C. Seftor and E. Celarier. 1997. Global distribution of UV-absorbing aerosols from Nimbus 7/TOMS data. J. Geophys. Res. 102:16911-16922. https://doi.org/10.1029/96JD03680
- Higurashi, A. and T. Nakajima. 2002. Detection of aerosol types over the East China Sea near Japanfrom four-channel satellite data, Geophys. Res. Lett., 29(17), 1836, doi:10.1029/2002GL015357.
- Hsu, N.C., J.R. Herman, O. Torres, B.N. Holben, D. Tanre, T.F. Eck, A. Smirnov, B. Chatenet, and F. Lavenu. 1999. Comparison of the TOMS aerosol Index with Sun-photometer aerosol optical thickness: Results and application. J. Geophy. Res., 23:745-748.
- IPCC. 2007. Climate Change: The Science Basis, Cambridge Univ. Press, New York.
- Jeong, M.-J., and Z. Li. 2005. Quality, compatibility, and synergy analyses of global aerosol products derived from the advanced very high resolution radiometer and Total Ozone Mapping Spectrometer, J. Geophys. Res., 110, D10S08, doi;10.1029/2004JD004647
- Kaskaoutis, D.G., H.D. Kambezidis, N. Hatzianastassiou, P.G. Kosmopoulos, K.V. Badarinath. 2007a. Aerosolclimatology: on the discrimination of aerosol types over four AERONET sites Atmospheric Chemistry and Physics Discussions, 7:6357-6411. https://doi.org/10.5194/acpd-7-6357-2007
- Kaskaoutis, D.G., P. Kosmopoulos, H.D. Kambezidis and P.T. Nastos. 2007b. Aerosol climatology and discrimination of different types over Athens, Greece, based on MODIS data, Atmospheric Environment, 41(34):7315-7329. https://doi.org/10.1016/j.atmosenv.2007.05.017
- Knapp, K.R. and L.L. Stowe. 2002. Evaluating the Potential for Retrieving Aerosol Optical Depth over Land from AVHRR Pathfinder Atmosphere Data, J. Atmos. Sci., 59(3):279-293. https://doi.org/10.1175/1520-0469(2002)059<0279:ETPFRA>2.0.CO;2
- Lee, K.H., Y.J. Kim, W. von Hoyningen-Huene, and J.P. Burrows. 2007. Spatio-Temporal Variability of Atmospheric Aerosol from MODIS data over Northeast Asia in 2004. Atmos. Environ. 41(19):3959-3973. doi:10.1016/j.atmosenv.2007.01.048.
- Lee, K.H., Z. Li, Y.J. Kim, A. Kokhanovshy. 2009. Aerosol monitoring from satellite observation: a history of three decades, Atmospheric and Biological Environmental Monitoring, YJ Kim, U. Platt, MB Gu, H Iwahashi(Eds.), Springer, doi:10.1007/978-1-4020-9674-7_2, pp. 13-38.
- Lee, K.H., Y.J.Kim. 2010. Satellite remote sensing of Asian aerosols:a case study of clean, polluted and dust storm days, Atmos. Meas. Tech., 3:1771-1784, doi:10.5194/amt-3-1771-2010.
- Levy, R.C., L.A. Remer, and O. Dubovik. 2007a. Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land, J. Geophys. Res., 112, D13210, doi;10.1029/2006JD007815.
- Levy, R.C., L. Remer, S. Mattoo, E. Vermote, and Y.J. Kaufman. 2007b. A second-generation algorithm for retrieving aerosol properties over land from MODIS spectral reflectance, J. Geophys. RES., 112, D13211.
- Lin, S.-J. and R.B. Rood. 1996. Multidimensional flux-form semi-Lagrangian transport schemes. Mon. Wea. Rev., 124:2046-2070. https://doi.org/10.1175/1520-0493(1996)124<2046:MFFSLT>2.0.CO;2
- Liss, P.S., and L. Merlivat. 1986. Air-seagas exchange rates: Introduction and synthesis. The Role of Air-Sea Exchange in Geochemical Cycling, P. Buat-Me' nard, Ed., D. Riedel, pp.113-127.
- Martonchik, J.V. and D.J. Diner. 1992. Retrieval of aefosol and land surface optical properties from multi-angle satellite imagery. IEEE Trans. Geosci. Remote Sens. 30: 223-230. https://doi.org/10.1109/36.134073
- McCormick, M.P., D.M. Winker, E.V. Browell, J.A. Coakley, C.S. Gardner, R.M. Hoff, G.S. Kent, S.H. Melfi, R.T. Menzies, C.M.R. Menzies, D.A. Randall, and J.A. Reagan. 1993. Scientific investigations planned for the Lidar In-space Technology Experiment(LITE). Bull. Amer. Meteorol. Soc. 74(2):205-214. https://doi.org/10.1175/1520-0477(1993)074<0205:SIPFTL>2.0.CO;2
- Muller, J.F., and G. Braseur. 1995. IMAGES: A three-dimensional chemical transport model of the global troposphere. J. Geophys. Res., 100:16445-16490. https://doi.org/10.1029/94JD03254
- Olivier, J. G. J. et. al. 1996. Description of EDGAR version 2.0: A set of global emission inventories of greenhouse gases and ozone-depleting substances for all anthropogenic and most natural sources on a per country basis and on 18 3 18 grid. RIVM/TNO Rep. 771060-002. 140 pp.
- Omar, A.H., J.-G. Won, D. M. Winker, S.-C. Yoon, O. Dubovik, and M.P. McCormick. 2005. Development of global aerosol models using cluster analysis of Aerosol Robotic Network (AERONET) measurements, J. Geophys. Res., 110, D10S14, doi:10.1029/2004JD004874.
- Rao, C.R.N, E.P. McClain, and L.L. Stowe. 1989. Remote sensing of aerosols over the oceans using AVHRR data theory, practice, and applications. Int. J. Remote Sens. 10(4-5):743-749. https://doi.org/10.1080/01431168908903915
- Remer, L.A. and Y.J. Kaufman. 1998. Dynamic aerosol model: Urban/industrial aerosol, J. Geophys. Res., 103(D12):13,859-13,872. https://doi.org/10.1029/98JD00994
- Remer, L.A., Y.J. Kaufman, B.N. Holben, A.M. Thompson, and D. McNamara. 1998. Biomass burning aerosol size distribution and modeled optical properties, J. Geophys. Res., 103(D24):31,879-31,892. https://doi.org/10.1029/98JD00271
- Remer, L.A., D. Tanre, Y.J. Kaufman, C. Inhoku, S. Mattoo, R. Levy, D.A. Chu, B. Holben, O. Dubovik, A. Smirnov, J.V. Martins, R.R. Li, and Z. Ahmad. 2002. Validation of MODIS aerosol retrieval over ocean. Geophysical Research Letters, 29(12):321-324. https://doi.org/10.1029/2002GL015098
- Remer, L.A. Y.J. Kaufman, D. Tanre, S. Mattoo, D.A. Chu, J.V. Martins, R.R. Li, C. Ichoku, R.C. Levy, R.G. Kleidman, T.F. Eck, E. Vermote, and B.N. Holben. 2005. The MODIS Aerosol Algorithm, Products and Validation, J. Atmos. Sci., 62:947-973. https://doi.org/10.1175/JAS3385.1
- Stowe, L.L. 1991. Cloud and aerosol products at NOAA/NESDIS, Paleogeogr. Paleoclimatol. Paleoecol. 90:25-32.
- Wesely, M.L. 1989. Parameterization of surface resistance to gaseous dry deposition in regional-scale numerical models. Atmos. Environ., 23:1293-1304. https://doi.org/10.1016/0004-6981(89)90153-4
- Yevich, R., and J.A. Logan. 2003. An assessment of biofuel use and burning of agricultural waste in the developing world, Global Biogeochem. Cycles, 17(4), 1095, doi:10.1029/2002GB001952.
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