Publications for Terra-MODIS

Publication Citation
Kalashnikova, O.V., and R.A. Kahn (2008), Mineral dust plume evolution over the Atlantic from MISR and MODIS aerosol retrievals, J. Geophys. Res., 113, D24204, doi:10.1029/2008JD010083.
Kato, S., and A. Marshak (2009), Solar zenith and viewing geometry-dependent errors in satellite retrieved cloud optical thickness: Marine stratocumulus case, J. Geophys. Res., 114, D01202, doi:10.1029/2008JD010579.
King, M.D., P. Menzel, Y.J. Kaufman, D. Tanré, B. Gao, S.E. Platnick, S. Ackerman, L.A. Remer, R. Pincus, and P. Hubanks (2003), Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS, IEEE Trans. Geosci. Remote Sens., 41, 442-458, doi:10.1109/TGRS.2002.808226.
Lallart, P., R.A. Kahn, and D. Tanré (2008), POLDER2/ADEOSII, MISR, and MODIS/Terra reflectance comparisons, J. Geophys. Res., 113, D14S02, doi:10.1029/2007JD009656.
Levy, R.C., G. Leptoukh, R.A. Kahn, V. Zubko, A. Gopalan, and L.A. Remer (2009), A Critical Look at Deriving Monthly Aerosol Optical Depth From Satellite Data, IEEE Trans. Geosci. Remote Sens., 47, 2942-2956, doi:10.1109/TGRS.2009.2013842.
Li, J., X. Li, B. Carlson, R.A. Kahn, A. Lacis, O. Dubovik, and T. Nakajima (2016), Reducing multisensor satellite monthly mean aerosol optical depth uncertainty: 1. Objective assessment of current AERONET locations, J. Geophys. Res., 121, doi:10.1002/2016JD025469.
Li, J., X. Li, B. Carlson, R.A. Kahn, A. Lacis, O. Dubovik, and T. Nakajima (2017), Reducing multisensor monthly mean aerosol optical depth uncertainty: 2. Optimal locations for potential ground observation deployments, J. Geophys. Res., 122, doi:10.1002/2016JD026308.
Li, J., R.A. Kahn, J. Wei, B. Carlson, A. Lacis, Z. Li, X. Li, O. Dubovik, and T. Nakajima (2020), Synergy of Satellite‐ and Ground‐Based Aerosol Optical Depth Measurements Using an Ensemble Kalman Filter Approach, J. Geophys. Res., 125, 1-17, doi:10.1029/2019JD031884.
Li, Y., D.Q. Tong, F. Ngan, M.D. Cohen, A.F. Stein, S. Kondragunta, X. Zhang, C.M. Ichoku, E.J. Hyer, and R.A. Kahn (2020), Ensemble PM2.5 Forecasting During the 2018 Camp Fire Event Using the HYSPLIT Transport and Dispersion Model, J. Geophys. Res., 125, e2020JD032768, doi:10.1029/2020JD032768.
Li, Y., D. Tong, S. Ma, S.R. Freitas, R. Ahmadov, M. Sofiev, X. Zhang, S. Kondragunta, R.A. Kahn, Y. Tang, B. Baker, P. Campbell, R. Saylor, I. Stajner, and G. Grell (2022), Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: A comparison of three schemes (Briggs, Freitas, and Sofiev), Atmos. Chem. Phys., 23, 3083-3101, doi:10.5194/acp-23-3083-2023.
Liu, Y., M. Franklin, R.A. Kahn, and P. Koutrakis (2007), Using aerosol optical thickness to predict ground-level PM2.5 concentrations in the St. Louis area: A comparison between MISR and MODIS, Remote Sensing of Environment, 107, 33-44, doi:10.1016/j.rse.2006.05.022.
Lyapustin, A., Y. Wang, S. Korkin, R.A. Kahn, and D. Winker (2020), MAIAC Thermal Technique for Smoke Injection Height From MODIS, IEEE Geosci. Remote Sens. Lett., 17, 730-734, doi:10.1109/LGRS.2019.2936332.
Mace, G.G., Y. Zhang, S.E. Platnick, M.D. King, P. Minnis, and P. Yang (2005), Evaluation of Cirrus Cloud Properties Derived from MODIS Data Using Cloud Properties Derived from Ground-Based Observations Collected at the ARM SGP Site, J. Appl. Meteor., 44, 221-240.
Mallet, M., O. Dubovik, P. Nabat, F. Dulac, R.A. Kahn, J. Sciare, D. Paronis, and J.F. Léon (2013), Absorption properties of Mediterranean aerosols obtained from multi-year ground-based remote sensing observations, Atmos. Chem. Phys., 13, 9195-9210, doi:10.5194/acp-13-9195-2013.
Marshak, A., S.E. Platnick, T. Várnai, G. Wen, and B. Cahalan (2006), Impact of three-dimensional radiative effects on satellite retrievals of cloud droplet sizes, J. Geophys. Res., 111, D09207, doi:10.1029/2005JD006686.
Marshak, A., G. Wen, J. Coakley, L.A. Remer, N. Loeb, and B. Cahalan (2008), A simple model for the cloud adjacency effect and the apparent bluing of aerosols near clouds, J. Geophys. Res., 113, D14S17, doi:10.1029/2007JD009196.
Mccoy, D.T., F.A.-M. Bender, D.P. Grosvenor, J.K.C. Mohrmann, D.L. Hartmann, R. Wood, and P.R. Field (2018), Predicting decadal trends in cloud droplet number concentration using reanalysis and satellite data, Atmos. Chem. Phys., 18, 2035-2047, doi:10.5194/acp-18-2035-2018.
Minnis, P., S. Sun-Mack, Y. Chen, F. Chang, C.R. Yost, W.L. Smith, P.W. Heck, R.F. Arduini, S. Bedka, Y. Yi, G. Hong, Z. Jin, D. Painemal, R. Palikonda, B. Scarino, D. Spangenberg, R.A. Smith, Q.Z. Trepte, P. Yang, and Y. Xie (2021), CERES MODIS Cloud Product Retrievals for Edition 4—Part I: Algorithm Changes, IEEE Trans. Geosci. Remote Sens., 59, 2744-2780, doi:10.1109/TGRS.2020.3008866.
Mishchenko, M.I., I. Geogdzhayev, L. Liu, A. Lacis, B. Cairns, and L.D. Travis (2009), Toward unified satellite climatology of aerosol properties: What do fully compatible MODIS and MISR aerosol pixels tell us?, J. Quant. Spectrosc. Radiat. Transfer, 110, 402-408, doi:10.1016/j.jqsrt.2009.01.007.
Mishchenko, M.I., L. Liu, I. Geogdzhayev, L.D. Travis, B. Cairns, and A. Lacis (2010), Toward unified satellite climatology of aerosol properties. 3. MODIS versus MISR versus AERONET, J. Quant. Spectrosc. Radiat. Transfer, 111, 540-552, doi:10.1016/j.jqsrt.2009.11.003.