Xiong Liu

Organization

Harvard–Smithsonian Center for Astrophysics

Email

Contact person by email

Business Phone

Work

:

(617) 496-2136

x

617496

Business Address

Harvard-Smithsonian Center for Astrophysics
60 Garden St
Atomic and Molecular Physics Division
Cambridge, MA 02138
United States

Website

Physicist

First Author Publications

Liu, X., et al. (2010), Ozone profile retrievals from the Ozone Monitoring Instrument, Atmos. Chem. Phys., 10, 2521-2537, doi:10.5194/acp-10-2521-2010.
Liu, X., et al. (2010), Validation of Ozone Monitoring Instrument (OMI) ozone profiles and stratospheric ozone columns with Microwave Limb Sounder (MLS) measurements, Atmos. Chem. Phys., 10, 2539-2549, doi:10.5194/acp-10-2539-2010.
Liu, X., et al. (2007), Improved ozone profile retrievals from GOME data with degradation correction in reflectance, Atmos. Chem. Phys., 7, 1575-1583, doi:10.5194/acp-7-1575-2007.
Liu, X., et al. (2006), Tropospheric ozone profiles from a ground-based ultraviolet spectrometer: a new retrieval method, Appl. Opt., 45, 2352-2359.
Liu, X., et al. (2006), Intercomparison of GOME, ozonesonde, and SAGE II measurements of ozone: Demonstration of the need to homogenize available ozonesonde data sets, J. Geophys. Res., 111, D14305, doi:10.1029/2005JD006718.
Liu, X., et al. (2005), Ozone profile and tropospheric ozone retrievals from the Global Ozone Monitoring Experiment: Algorithm description and validation, J. Geophys. Res., 110, D20307, doi:10.1029/2005JD006240.
Liu, X., et al. (2005), Mapping tropospheric ozone profiles from an airborne ultraviolet–visible spectrometer, Appl. Opt., 44, 3312-3319.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

Co-Authored Publications

Bak, J., et al. (2022), remote sensing Technical Note Impact of Using a New High-Resolution Solar Reference Spectrum on OMI Ozone Profile Retrievals, Remote Sens., 14, 37, doi:10.3390/rs14010037.
Coddington, ., et al. (2022), The TSIS-1 Hybrid Solar Reference Spectrum, Geophys. Res. Lett..
Lee, H., et al. (2022), Satellite-Based Diagnosis and Numerical Verification of Ozone Formation Regimes over Nine Megacities in East Asia, yujinjo@pusan.ac.kr (Y.-J.J.jm6449@naver.com (J.-M.K.) * Correspondence, chkim2@pusan.ac.kr, 1285, doi:10.3390/rs14051285.
Lemmouchi, F., et al. (2022), Article 1 Three-dimensional distribution of biomass burning aerosols 2 from Australian wildfires observed by TROPOMI satellite ob- 3 servations 4 5, Tel., 33, 82 39 20 64 21, doi:10.3390/xxxxx.
Li, ., et al. (2022), Direct retrieval of NO2 vertical columns from UV-Vis (390-495 nm) spectral radiance using a neural network, Journal of Remote Sensing, ID, article, doi:10.34133/2022/9817134.
Li, C., et al. (2022), AAAS Journal of Remote Sensing Volume 2022, Article ID 9817134, 17 pages, Journal of Remote Sensing, 9817134, doi:10.34133/2022/9817134.
Naeger, A.R., et al. (2022), Meeting Summary Revolutionary Air-Pollution Applications from Future Tropospheric Emissions: Monitoring of Pollution (TEMPO) Observations, Bull. Am. Meteorol. Soc., doi:10.1175/BAMS-D-21-0050.1.
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.
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.
Wei, J., et al. (2022), Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China, Remote Sensing of Environment, 270, 112775, doi:10.1016/j.rse.2021.112775.
Wei, J., et al. (2022), Ground-Level NO2 Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence, Environ. Sci. Technol., doi:10.1021/acs.est.2c03834.
Zhu, Q., et al. (2022), Satellite-Based Long-Term Spatiotemporal Patterns of Surface Ozone Concentrations in China: 2005–2019, Research A Section 508-conformant HTML version of this article, doi:10.1289/EHP9406.
Bak, J., et al. (2021), Radiative transfer acceleration based on the principal component analysis and lookup table of corrections: optimization and application to UV ozone profile retrievals, Atmos. Meas. Tech., 14, 2659-2672, doi:10.5194/amt-14-2659-2021.
Choi, H., et al. (2021), Fast Retrieval of Cloud Parameters Using a Triplet of Wavelengths of Oxygen Dimer Band around 477 nm, Remote Sens., 13, 152, doi:10.3390/rs13010152.
LEE, H., et al. (2021), Ozone Continues to Increase in East Asia Despite Decreasing NO2: Causes and Abatements, Causes and Abatements. Remote Sens., 13, 2177, doi:10.3390/rs13112177.
Li, J., et al. (2021), Comprehensive evaluations of diurnal NO2 measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NOx emissions, Atmos. Chem. Phys., 21, 11133-11160, doi:10.5194/acp-21-11133-2021.
Zhao, F., et al. (2021), Ozone profile retrievals from TROPOMI: Implication for the variation of tropospheric ozone during the outbreak of COVID-19 in China, Science of the Total Environment, 764, 142886, doi:10.1016/j.scitotenv.2020.142886.
Bak, J., et al. (2020), Impact of using a new ultraviolet ozone absorption cross-section dataset on OMI ozone profile retrievals, Atmos. Meas. Tech., 13, 5845-5854, doi:10.5194/amt-13-5845-2020.
Kang, M., et al. (2020), Spectral Calibration Algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS), Remote Sensing, 12, doi:10.3390/rs12172846.
Souri, A., et al. (2020), An inversion of NOx and non-methane volatile organic compound (NMVOC) emissions using satellite observations during the KORUS-AQ campaign and implications for surface ozone over East Asia, Atmos. Chem. Phys., 20, 9837-9854, doi:10.5194/acp-20-9837-2020.
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.
Abad, G.G., et al. (2019), Five decades observing Earth’s atmospheric trace gases using ultraviolet and visible backscatter solar radiation from space, J. Quant. Spectrosc. Radiat. Transfer, doi:10.1016/j.jqsrt.2019.04.030.
Bak, J., et al. (2019), Cross-evaluation of GEMS tropospheric ozone retrieval performance using OMI data and the use of an ozonesonde dataset over East Asia for validation, Atmos. Meas. Tech., 12, 5201-5215, doi:10.5194/amt-12-5201-2019.
Bak, J., et al. (2019), Linearization of the effect of slit function changes for improving Ozone Monitoring Instrument ozone profile retrievals, Atmos. Meas. Tech., 12, 3777-3788, doi:10.5194/amt-12-3777-2019.
Jung, Y., et al. (2019), Explicit Aerosol Correction of OMI Formaldehyde Retrievals, Earth and Space Science, 6, 2087-2105, doi:10.1029/2019EA000702.
Kajino, ., et al. (2019), Detectability assessment of a satellite sensor for lower tropospheric ozone responses to its precursors emission changes in East Asian summer, Scientific Reports, 9, 19629, doi:10.1038/s41598-019-55759-7.
Wang, ., 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.
Yang, K., and X. Liu (2019), Ozone Profile Climatology for Remote Sensing Retrieval Algorithms, Atmos. Meas. Tech., doi:10.5194/amt-2019-116.
Gaudel, ., et al. (2018), Tropospheric Ozone Assessment Report: Present-day distribution and trends of tropospheric ozone relevant to climate and global atmospheric chemistry model evaluation, Elem Sci Anth, 6, 39, doi:10.1525/elementa.
Gaudel, A., et al. (2018), Tropospheric Ozone Assessment Report: Present-day distribution and trends of tropospheric ozone relevant to climate and global atmospheric chemistry model evaluation, Elem Sci Anth, 6, 39, doi:10.1525/elementa.291.
Hayashida, S., et al. (2018), Comparison of Satellite Observation with Model Simulation, in: Land-Atmospheric Research Applications in South and Southeast Asia, edited by: Krishna Prasad Vadrevu, Toshimasa Ohara, Chris Justice, edited by, 255-275, doi:10.1007/978-3-319-67474-2_13.
Huang, G., et al. (2018), Validation of 10-year SAO OMI ozone profile (PROFOZ) product using Aura MLS measurements, Atmos. Meas. Tech., 11, 17-32, doi:10.5194/amt-11-17-2018.
Jeong, U., et al. (2018), Optimal Estimation-Based Algorithm to Retrieve Aerosol Optical Properties for GEMS Measurements over Asia Mijin Kim 1 , Jhoon Kim 1,2, * ID , Omar Torres 3 , Changwoo Ahn 4 , Woogyung Kim 1,3 ,, doi:10.3390/rs10020162.
Bak, J., et al. (2017), Characterization and correction of OMPS nadir mapper measurements for ozone profile retrievals, Atmos. Meas. Tech., 10, 4373-4388, doi:10.5194/amt-10-4373-2017.
Choi, ., et al. (2017), Global O3–CO correlations in a chemistry and transport model during July–August: evaluation with TES satellite observations and sensitivity to input meteorological data and emissions, Atmos. Chem. Phys., 17, 8429-8452, doi:10.5194/acp-17-8429-2017.
Huang, G., et al. (2017), Validation of 10-year SAO OMI Ozone Profile (PROFOZ) product using ozonesonde observations, Atmos. Meas. Tech., 10, 2455-2475, doi:10.5194/amt-10-2455-2017.
Liu, C., et al. (2015), Characterization and verification of ACAM slit functions for trace-gas retrievals during the 2011 DISCOVER-AQ flight campaign, Atmos. Meas. Tech., 8, 751-759, doi:10.5194/amt-8-751-2015.
Wang, J., et al. (2014), A numerical testbed for remote sensing of aerosols, and its demonstration for evaluating retrieval synergy from a geostationary satellite constellation of GEO-CAPE and GOES-R, J. Quant. Spectrosc. Radiat. Transfer, 146, 510-528, doi:10.1016/j.jqsrt.2014.03.020.
Ziemke, J.R., et al. (2014), Assessment and applications of NASA ozone data products derived from Aura OMI/MLS satellite measurements in context of the GMI chemical transport model, J. Geophys. Res., 119, 5671-5699, doi:10.1002/2013JD020914.
Liu, C., et al. (2013), The impact of using different ozone cross sections on ozone profile retrievals from OMI UV measurements, J. Quant. Spectrosc. Radiat. Transfer, 130, 365-372, doi:10.1016/j.jqsrt.2013.06.006.
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.
Zoogman, P., et al. (2011), Ozone air quality measurement requirements for a geostationary satellite mission, Atmos. Environ., 45, 7143-7150, doi:10.1016/j.atmosenv.2011.05.058.
Zhang, L., et al. (2010), Intercomparison methods for satellite measurements of atmospheric composition: application to tropospheric ozone from TES and OMI, Atmos. Chem. Phys., 10, 4725-4739, doi:10.5194/acp-10-4725-2010.
Worden, J., et al. (2007), Improved tropospheric ozone profile retrievals using OMI and TES radiances, Geophys. Res. Lett., 34, L01809, doi:10.1029/2006GL027806.
Sioris, C., et al. (2006), Latitudinal and vertical distribution of bromine monoxide in the lower stratosphere from Scanning Imaging Absorption Spectrometer for Atmospheric Chartography limb scattering measurements, J. Geophys. Res., 111, D14301, doi:10.1029/2005JD006479.
Wang, J., et al. (2003), The effects of non-sphericity on geostationary satellite retrievals of dust aerosols, Geophys. Res. Lett., 30, 2293, doi:10.1029/2003GL018697.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

National Aeronautics and Space Administration

National Aeronautics and
Space Administration