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> Publications for Aura- OMI
Publication Citation
Souri, A.
,
et al.
(2022),
Unraveling pathways of elevated ozone induced by the 2020 lockdown in Europe by an observationally constrained regional model using TROPOMI
,
Atmos. Chem. Phys.
, doi:10.5194/acp-21-18227-2021.
Souri, A.
,
et al.
(2022),
Dealing with spatial heterogeneity in pointwise-to-griddeddata comparisons
,
Atmos. Meas. Tech., 15
, 41-59, doi:10.5194/amt-15-41-2022.
Sun, K.
,
et al.
(2017),
Deriving the slit functions from OMI solar observations and its implications for ozone-profile retrieval
,
Atmos. Meas. Tech., 10
, 3677-3695, doi:10.5194/amt-10-3677-2017.
Sun, K.,
et al.
(2018),
A physics-based approach to oversample multi-satellite, multispecies observations to a common grid
,
Atmos. Meas. Tech., 11
, 6679-6701, doi:10.5194/amt-11-6679-2018.
Tang, W.
,
et al.
(2019),
Satellite data reveal a common combustion emission pathway for major cities in China
,
Atmos. Chem. Phys., 19
, 4269-4288, doi:10.5194/acp-19-4269-2019.
Tian, B.
,
et al.
(2008),
Does the Madden-Julian Oscillation influence aerosol variability?
,
J. Geophys. Res., 113
, D12215, doi:10.1029/2007JD009372.
Torres, O.
,
C. Ahn
, and Z. Chen (2013),
Improvements to the OMI near-UV aerosol algorithm using A-train CALIOP and AIRS observations
,
Atmos. Meas. Tech., 6
, 3257-3270, doi:10.5194/amt-6-3257-2013.
Torres, O.
,
et al.
(2007),
Aerosols and surface UV products from Ozone Monitoring Instrument observations: An overview
,
J. Geophys. Res., 112
, D24S47, doi:10.1029/2007JD008809.
Torres, O.
,
et al.
(2010),
OMI and MODIS observations of the anomalous 2008–2009 Southern Hemisphere biomass burning seasons
,
Atmos. Chem. Phys., 10
, 3505-3513, doi:10.5194/acp-10-3505-2010.
Torres, O.
,
H. Jethva
, and
P. Bhartia
(2012),
Retrieval of Aerosol Optical Depth above Clouds from OMI Observations: Sensitivity Analysis and Case Studies
,
J. Atmos. Sci., 69
, 1037-1053, doi:10.1175/JAS-D-11-0130.1.
Valin, L. C.
,
et al.
(2011),
Observation of slant column NO2 using the super-zoom mode of AURA-OMI
,
Atmos. Meas. Tech., 4
, 1929-1935, doi:10.5194/amt-4-1929-2011.
Vasilkov, A. P.
,
et al.
(2008),
Evaluation of the OMI cloud pressures derived from rotational Raman scattering by comparisons with other satellite data and radiative transfer simulations
,
J. Geophys. Res., 113
, D15S19, doi:10.1029/2007JD008689.
Vasilkov, A. P.
,
et al.
(2009),
Impact of tropospheric nitrogen dioxide on the regional radiation budget
,
Atmos. Chem. Phys., 9
, 6389-6400, doi:10.5194/acp-9-6389-2009.
Vasilkov, A. P.
,
et al.
(2010),
What do satellite backscatter ultraviolet and visible spectrometers see over snow and ice? A study of clouds and ozone using the A-train
,
Atmos. Meas. Tech., 3
, 619-629, doi:10.5194/amt-3-619-2010.
Vasilkov, A. P.
,
et al.
(2018),
A cloud algorithm based on the O2-O2 477 nm absorption band featuring an advanced spectral fitting method and the use of surface geometry-dependent Lambertian-equivalent reflectivity
,
Atmos. Meas. Tech., 11
, 4093-4107, doi:10.5194/amt-11-4093-2018.
Walker, T. W.
,
et al.
(2010),
Trans-Pacific transport of reactive nitrogen and ozone to Canada during spring
,
Atmos. Chem. Phys., 10
, 8353-8372, doi:10.5194/acp-10-8353-2010.
Wang, H.
,
et al.
(2019),
Ozone Monitoring Instrument (OMI) Total Column Water Vapor version 4 validation and applications
,
Atmos. Meas. Tech., 12
, 5183-5199, doi:10.5194/amt-12-5183-2019.
Wang, J.
,
et al.
(2016),
A new approach for monthly updates of anthropogenic sulfur dioxide emissions from space: Application to China and implications for air quality forecasts
,
Geophys. Res. Lett., 43
, 9931-9938, doi:10.1002/2016GL070204.
Wang, L.,
et al.
(2011),
Evaluating AURA/OMI ozone profiles using ozonesonde data and EPA surface measurements for August 2006
,
Atmos. Environ., 45
, 5523-5530, doi:10.1016/j.atmosenv.2011.06.012.
Wang, W.,
et al.
(2022),
A machine learning model to estimate ground-level ozone concentrations in California using TROPOMI data and high-resolution meteorology
,
Environment International, 158
, 106917, doi:10.1016/j.envint.2021.106917.
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