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Publication Citation
Polivka, T. N.
,
et al.
(2016),
Improving Nocturnal Fire Detection with the VIIRS Day-Night Band, IEEE Transactions on Geoscience &
,
Remote Sensing, 9
, 5503-5519.
Qu, W.,
et al.
(2016),
Opposite seasonality of the aerosol optical depth and the surface particulate matter concentration over the north China Plain
,
Atmos. Environ., 127
, 90-99, doi:10.1016/j.atmosenv.2015.11.061.
Rajaram, B.,
et al.
(2001),
Temperature-dependent optical constants of water ice in the near infrared: new results and critical review of the available measurements
,
Appl. Opt., 40
, 4449-4462.
Rashki, A.,
et al.
(2013),
Dryness of ephemeral lakes and consequences for dust activity: The case of the Hamoun drainage basin, southeastern Iran
,
Science of the Total Environment, 463–464
, 552-564, doi:10.1016/j.scitotenv.2013.06.045.
Rolland, P.,
et al.
(2000),
Remote sensing of optical and microphysical properties of cirrus clouds using Moderate-Resolution Imaging Spectroradiometer channels: Methodology and sensitivity to physical assumptions
,
J. Geophys. Res., 105
, 11721-11738.
Scollo, S.
,
et al.
(2012),
MISR observations of Etna volcanic plumes
,
J. Geophys. Res., 117
, D06210, doi:10.1029/2011JD016625.
Shen, J.,
et al.
(2020),
Spatial pattern and seasonal dynamics of the photosynthesis activity across T Australian rainfed croplands ⁎
,
Ecological Indicators, 108
, 105669, doi:10.1016/j.ecolind.2019.105669.
Sogacheva, L.,
et al.
(2020),
Merging regional and global aerosol optical depth records from major available satellite products
,
Atmos. Chem. Phys., 20
, 2031-2056, doi:10.5194/acp-20-2031-2020.
Souri, A.
,
et al.
(2020),
Quantifying the Impact of Excess Moisture From Transpiration From Crops on an Extreme Heat Wave Event in the Midwestern U.S.: A Top‐Down Constraint From Moderate Resolution Imaging Spectroradiometer Water Vapor Retrieval
,
J. Geophys. Res., 125
, e2019JD031941, doi:10.1029/2019JD031941.
Taylor, M.,
et al.
(2015),
Global aerosol mixtures and their multiyear and seasonal characteristics
,
Atmos. Environ., 116
, 112-129, doi:10.1016/j.atmosenv.2015.06.029.
Tian, B.
,
et al.
(2008),
Does the Madden-Julian Oscillation influence aerosol variability?
,
J. Geophys. Res., 113
, D12215, doi:10.1029/2007JD009372.
Tian, B.
,
et al.
(2011),
Modulation of Atlantic aerosols by the Madden‐Julian Oscillation
,
J. Geophys. Res., 116
, D15108, doi:10.1029/2010JD015201.
Trepte, Q. Z.
,
et al.
(2019),
Global Cloud Detection for CERES Edition 4 Using Terra and Aqua MODIS Data
,
IEEE Trans. Geosci. Remote Sens., 57
, 9410-9449, doi:10.1109/TGRS.2019.2926620.
van der Does, M.,
et al.
(2020),
Tropical Rains Controlling Deposition of Saharan Dust Across the North Atlantic Ocean
,
Geophys. Res. Lett., 47
, doi:10.1029/2019GL086867.
van Donkelaar, A.
,
et al.
(2010),
Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application
,
Research, 118
, 847-855, doi:).
van Donkelaar, A.
,
et al.
(2022),
Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty
,
Environ. Sci. Technol.
, doi:10.1021/acs.est.1c05309.
Vant-Hull, B.,
et al.
(2007),
The Effects of Scattering Angle and Cumulus Cloud Geometry on Satellite Retrievals of Cloud Droplet Effective Radius
,
IEEE Trans. Geosci. Remote Sens., 45
, 1039-1045, doi:10.1109/TGRS.2006.890416.
Várnai, T.
, and
A. Marshak
(2001),
Statistical Analysis of the Uncertainties in Cloud Optical Depth Retrievals Caused by Three-Dimensionál Radíative Effects
,
J. Atmos. Sci., 58
, 1540-1548.
Várnai, T.
, and
A. Marshak
(2002),
Observations of Three-Dimensional Radiative Effects that Influence MODIS Cloud Optical Thicknéss Rétrievals
,
J. Atmos. Sci., 59
, 1607-1618.
Várnai, T.
, and
A. Marshak
(2007),
View angle dependence of cloud optical thicknesses retrieved by Moderate Resolution Imaging Spectroradiometer (MODIS)
,
J. Geophys. Res., 112
, D06203, doi:10.1029/2005JD006912.
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