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> Publications for Aqua-MODIS
Publication Citation
Jin, M.
,
J. M. Shepherd
, and
M. D. King
(2005),
Urban aerosols and their variations with clouds and rainfall: A case study for New York and Houston
,
J. Geophys. Res., 110
, D10S20, doi:10.1029/2004JD005081.
Joiner, J.
,
et al.
(2018),
Global relationships among traditional reflectance vegetation indices (NDVI T and NDII), evapotranspiration (ET), and soil moisture variability on weekly timescales
,
Remote Sensing of Environment, 219
, 339-352, doi:10.1016/j.rse.2018.10.020.
Joiner, J.
,
et al.
(2018),
Estimation of Terrestrial Global Gross Primary Production (GPP) with Satellite Data-Driven Models and Eddy Covariance Flux Data
, doi:10.3390/rs10091346.
Juárez, M. D.
,
A. B. Davis
, and
E. J. Fetzer
(2011),
Scale-by-scale analysis of probability distributions for global MODIS-AQUA cloud properties: how the large scale signature of turbulence may impact statistical analyses of clouds
,
Atmos. Chem. Phys., 11
, 2893-2901, doi:10.5194/acp-11-2893-2011.
Kahn, R.
(2020),
A global perspective on wildfires. EOS, American Geophysical Union
,
EOS - American Geophysical Union, 101
, 1-5, doi:10.1029/2020EO138260.
Kahn, R.
(2020),
A global perspective on wildfires. EOS, American Geophysical Union
,
EOS - American Geophysical Union, 101
, 1-5, doi:10.1029/2020EO138260.
Kahn, R.
,
et al.
(2005),
MISR Calibration and Implications for Low-Light-Level Aerosol Retrieval over Dark Water
,
J. Atmos. Sci., 62
, 1032-1052.
Kahn, R.
,
et al.
(2007),
Satellite-derived aerosol optical depth over dark water from MISR and MODIS: Comparisons with AERONET and implications for climatological studies
,
J. Geophys. Res., 112
, D18205, doi:10.1029/2006JD008175.
Kahn, R.
,
et al.
(2007),
Aerosol source plume physical characteristics from space-based multiangle imaging
,
J. Geophys. Res., 112
, D11205, doi:10.1029/2006JD007647.
Kahn, R.
,
et al.
(2009),
MISR Aerosol Product Attributes and Statistical Comparisons With MODIS
,
IEEE Trans. Geosci. Remote Sens., 47
, 4095-4114, doi:10.1109/TGRS.2009.2023115.
Kalashnikova, O. V.
, and
R. 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.
,
et al.
(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. Kahn
, and
D. Tanré
(2008),
POLDER2/ADEOSII, MISR, and MODIS/Terra reflectance comparisons
,
J. Geophys. Res., 113
, D14S02, doi:10.1029/2007JD009656.
Levy, R.
,
et al.
(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.,
et al.
(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.,
et al.
(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.,
et al.
(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.,
et al.
(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.
Liu, Y.
,
et al.
(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.
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