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> Publications for Aqua-MODIS
Publication Citation
Lyapustin, A.
,
et al.
(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, J.
,
et al.
(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.
,
et al.
(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.
,
et al.
(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.
,
et al.
(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.
Marshak, A.
,
et al.
(2023),
Aerosol Properties in Cloudy Environments from Remote Sensing Observations
,
Bull. Am. Meteorol. Soc., 102
, E2177-E2197, doi:10.1175/BAMS-D-20-0225.1.
Mccoy, D. T.
,
et al.
(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.
,
et al.
(2019),
Advances in neural network detection and retrieval of multilayer clouds for CERES using multispectral satellite data
,
Proc. SPIE Remote Sens. Clouds and Atmospheric., XXIV
, 1-12, doi:10.1117/12.2532931.
Minnis, P.
,
et al.
(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.
Moody, E. G.
,
et al.
(2005),
Spatially Complete Global Spectral Surface Albedos: Value-Added Datasets Derived From Terra MODIS Land Products
,
IEEE Trans. Geosci. Remote Sens., 43
, 144-158, doi:10.1109/TGRS.2004.838359.
Moody, E. G.
,
et al.
(2007),
Northern Hemisphere five-year average (2000–2004) spectral albedos of surfaces in the presence of snow: Statistics computed from Terra MODIS land products
,
Remote Sensing of Environment, 111
, 337-345, doi:10.1016/j.rse.2007.03.026.
Moody, E. G.
,
et al.
(2008),
MODIS-Derived Spatially Complete Surface Albedo Products: Spatial and Temporal Pixel Distribution and Zonal Averages
,
J. Appl. Meteor. Climat., 47
, 2879-2894, doi:10.1175/2008JAMC1795.1.
Myhre, G.
,
et al.
(2009),
Modelled radiative forcing of the direct aerosol effect with multi-observation evaluation
,
Atmos. Chem. Phys., 9
, 1365-1392, doi:10.5194/acp-9-1365-2009.
Noyes, K. J.
,
et al.
(2020),
Wildfire Smoke Particle Properties and Evolution, from Space-Based Multi-Angle Imaging
, doi:10.3390/rs12050769.
Painemal, D.
,
et al.
(2016),
First extended validation of satellite microwave liquid water path with ship-based observations of marine low clouds
,
Geophys. Res. Lett., 43
, doi:10.1002/2016GL069061.
Peterson, D.
, and
J. Wang
(2013),
A Sub-pixel-based calculate of fire radiative power from MODIS observations: 2. Sensitivity analysis and potential fire weather application
,
Remote Sensing Environment, 129
, 231-249, doi:10.1016/j.rse.2012.10.020.
Peterson, D.
,
et al.
(2013),
A sub-pixel-based calculation of fire radiative power from MODIS observations: 1 Algorithm development and initial assessment
,
Remote Sensing of Environment, 129
, 262-279, doi:10.1016/j.rse.2012.10.036.
Petrenko, M.
,
et al.
(2012),
The use of satellite-measured aerosol optical depth to constrain biomass burning emissions source strength in the global model GOCART
,
J. Geophys. Res., 117
, D18212, doi:10.1029/2012JD017870.
Petrenko, M.
,
et al.
(2017),
Refined Use of Satellite Aerosol Optical Depth Snapshots to Constrain Biomass Burning Emissions in the GOCART Model
,
J. Geophys. Res., 122
, doi:10.1002/2017JD026693.
Platnick, S.
,
et al.
(2003),
The MODIS cloud products: Algorithms and examples From Terra
,
IEEE Trans. Geosci. Remote Sens., 41
, 459-473, doi:10.1109/TGRS.2002.808301.
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