Publications for Terra- MISR

Publication Citation
Limbacher, J., and R.A. Kahn (2019), Updated MISR over-water research aerosol retrieval algorithm – Part 2: A multi-angle aerosol retrieval algorithm for shallow, turbid, oligotrophic, and eutrophic waters, Atmos. Meas. Tech., 12, 675-689, doi:10.5194/amt-12-675-2019.
Limbacher, J., R.A. Kahn, and J. Lee (2022), The new MISR research aerosol retrieval algorithm: a multi-angle, multi-spectral, bounded-variable least squares retrieval of aerosol particle properties over both land and water, Atmos. Meas. Tech., 15, 6865-6887, doi:10.5194/amt-15-6865-2022.
Liu, Q., S.L. Liang, Z. Xiao, and H. Fang (2014), Retrieval of leaf area index using temporal, spectral, and angular information from multiple satellite data, Remote Sensing of Environment, 145, 25-37, doi:10.1016/j.rse.2014.01.021.
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.
Liu, Y., P. Koutrakis, R.A. Kahn, S. Turquety, and R. Yantosca (2007), Estimating PM2.5 component concentrations and size distributions using satellite-retrieved fractional aerosol optical depth: Part 2 - A case study, J. Air & Waste Management Assoc., 57, 1360-1369, doi:10.3155/1047-3289.57.11.1360.
Liu, Y., P. Koutrakis, and R.A. Kahn (2007), Estimating PM2.5 component concentrations and size distributions using satellite-retrieved fractional aerosol optical depth: Part 1 - Development of Methods, J. Air & Waste Management Assoc., 57, 1351-1359, doi:10.3155/1047-3289.57.11.1351.
Ma, H., J. Song, J. Wang, Z. Xiao, and Z. Fu (2014), Improvement of spatially continuous forest LAI retrieval by integration of discrete airborne LiDAR and remote sensing multi-angle optical data, Agricultural and Forest Meteorology, 189, 60-70, doi:10.1016/j.agrformet.2014.01.009.
Ma, X., and F. Yu (2015), Seasonal and spatial variations of global aerosol optical depth: multi-year modelling with GEOS-Chem-APM and comparisons with multiple-platform observations, Chemical and Physical Meteorology, 67, 25115, doi:10.3402/tellusb.v67.25115.
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.
Martin, M., R.A. Kahn, and M. Tosca (2022), A Global Analysis of Wildfire Smoke Injection Heights Derived from Space-Based Multi-Angle Imaging, doi:10.3390/rs10101609.
McCoy, D.T., D.L. Hartmann, and D.P. Grosvenor (2014), Observed Southern Ocean Cloud Properties and Shortwave Reflection. Part I: Calculation of SW Flux from Observed Cloud Properties, J. Climate, 27, 8836-8857, doi:10.1175/JCLI-D-14-00287.1.
Mehta, M. (2015), A study of aerosol optical depth variations over the Indian region using thirteen years (2001-2013) of MODIS and MISR Level 3 data, Atmos. Environ., 109, 161-170, doi:10.1016/j.atmosenv.2015.03.021.
Michou, M., P. Nabat, and D. Saint-Martin (2015), Development and basic evaluation of a prognostic aerosol scheme (v1) in the CNRM Climate Model CNRM-CM6, Geoscience Modeling Developments, 8, 501-531, doi:10.5194/gmd-8-501-2015.
Mims, S.R., R.A. Kahn, C. Moroney, B. Gaitley, D. Nelson, and M.J. Garay (2010), MISR Stereo Heights of Grassland Fire Smoke Plumes in Australia, IEEE Trans. Geosci. Remote Sens., 48, 25-35, doi:10.1109/TGRS.2009.2027114.
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.
Mishra, A.K., K. Klingmueller, E. Fredj, J. Lelieveld, Y. Rudich, and I. Koren (2014), Radiative signature of absorbing aerosol over the eastern Mediterranean basin, Atmos. Chem. Phys., 14, 7213-7231, doi:10.5194/acp-14-7213-2014.
Moon, T., Y. Wang, Y. Liu, and B. Yu (2015), Evaluation of a MISR-Based High-Resolution Aerosol Retrieval Method Using AERONET DRAGON Campaign Data, IEEE Trans. Geosci. Remote Sens., 53, 4328-4339, doi:10.1109/TGRS.2015.2395722.
Mueller, K.J., J. Liu, W. McCarty, and R. Gelaro (2017), An Adjoint-Based Forecast Impact from Assimilating MISR Winds into the GEOS-5 Data Assimilation and Forecasting System, Mon. Wea. Rev., 145, 4937-4947, doi:10.1175/MWR-D-17-0047.1.
Mueller, K.J., D.L. Wu, Á. Horváth, V.M. Jovanovic, J.-P. Muller, L. Di Girolamo, M.J. Garay, D.J. Diner, C. Moroney, and S. Wanzong (2017), Assessment of MISR Cloud Motion Vectors (CMVs) Relative to GOES and MODIS Atmospheric Motion Vectors (AMVs), J. Appl. Meteor. Climat., 56, 555-572, doi:10.1175/JAMC-D-16-0112.1.