Recent Publications

This page lists the most recently-uploaded publications that have been added to the ESD Publications database. Select one or more Research Program(s) to filter the list.

Publication Citation Research Program(s) Revision create time
Choi, H., X. Liu, G. Gonzalez Abad, J. Seo, K.-M. Lee, and J.A. Kim (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. Atmospheric Composition
Souri, A.H., K. Chance, J. Bak, C.R. Nowlan, G. Gonzalez Abad, Y. Jung, D.C. Wong, J. Mao, and X. Liu (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. Atmospheric Composition, ACMAP
Coddington, O.M., E.C. Richard, D. Harber, P. Pilewskie, T.N. Woods, K. Chance, X. Liu, and K. Sun (2022), The TSIS-1 Hybrid Solar Reference Spectrum, Geophys. Res. Lett.. Atmospheric Composition, RSP, Climate Variability and Change Program
Lee, H.-J., L.-S. Chang, D.A. Jaffe, J. Bak, X. Liu, G.G. Abad, H.-Y. Jo, Y.-J. Jo, J.-B. Lee, and C.-H. Kim (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. Atmospheric Composition
Naeger, A.R., M.J. Newchurch, T. Moore, K. Chance, X. Liu, S. Alexander, K. Murphy, and B. Wang (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. ASP, Atmospheric Composition
Wang, W., X. Liu, J. Bi, and Y. Liu (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. Atmospheric Composition
Souri, A.H., K. Chance, K. Sun, X. Liu, and M.S. Johnson (2022), Dealing with spatial heterogeneity in pointwise-to-griddeddata comparisons, Atmos. Meas. Tech., 15, 41-59, doi:10.5194/amt-15-41-2022. Atmospheric Composition, ACMAP
Bak, J., O. Coddington, X. Liu, K. Chance, H.-J. Lee, W. Jeon, J.-H. Kim, and C.-H. Kim (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. Atmospheric Composition
Li, C., X. Xu, X. Liu, J. Wang, K. Sun, J. van Geffen, Q. Zhu, J. Ma, J. Jin, K. Qin, Q. He, P. Xie, B. Ren, and R.C. Cohen (2022), AAAS Journal of Remote Sensing Volume 2022, Article ID 9817134, 17 pages, Journal of Remote Sensing, 9817134, doi:10.34133/2022/9817134. Atmospheric Composition
Zhu, Q., J. Bi, X. Liu, S. Li, W. Wang, Y. Zhao, and Y. Liu (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. Atmospheric Composition
Lee, H.-J., L.-S. Chang, D.A. Jaffe, J. Bak, X. Liu, G.G. Abad, H.-Y. Jo, Y.-J. Jo, J.-B. Lee, G.-H. Yang, J.-M. Kim, and C.-H. Kim (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. Atmospheric Composition
Wei, J., S. Liu, Z. Li, C. Liu, K. Qin, X. Liu, R.T. Pinker, R.R. Dickerson, J. Lin, K.F. Boersma, L. Sun, R. Li, W. Xue, Y. Cui, C. Zhang, and J. Wang (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. Atmospheric Composition
Liao, H., S. Wdowinski, and S. Li (2020), Regional-scale hydrological monitoring of wetlands with Sentinel-1 InSAR T observations: Case study of the South Florida Everglades, Remote Sensing of Environment, 251, 112051, doi:10.1016/j.rse.2020.112051. THP
Hong, S.-H., S. Wdowinski, and S.-W. Kim (2022), Extraction of Absolute Water Level Using TanDEM-X Bistatic Observations With a Large Perpendicular Baseline, IEEE Geosci. Remote Sens. Lett., 1-7, doi:10.1109/LGRS.2021.3086875. THP
Zhang, B., S. Wdowinski, and D. Gann (2022), Space-Based Detection of Significant Water-Depth Increase Induced by Hurricane Irma in the Everglades Wetlands Using Sentinel-1 SAR Backscatter Observations, Remote Sens., 14, 1415, doi:10.3390/rs14061415. THP
Zhang, B., S. Wdowinski, D. Gann, S.-H. Hong, and J. Sah (2022), Spatiotemporal variations of wetland backscatter: The role of water depth and vegetation characteristics in Sentinel-1 dual-polarization SAR observations, Remote Sensing of Environment, 270, 112864, doi:10.1016/j.rse.2021.112864. THP
Govorčin, M., B. Pribičević, and S. Wdowinski (2022), Surface Deformation Analysis of the Wider Zagreb Area (Croatia) with Focus on the Kašina Fault, Investigated with Small Baseline InSAR Observations, doi:10.3390/s19224857. ESI
Lemmouchi, F., J. Cuesta, M. Eremenko, C. Derognat, G. Siour, G. Dufour, P. Sellitto, S. Turquety, D. Tran, X. Liu, P. Zoogman, R. Lutz, and D. Loyola9 (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. Atmospheric Composition
Dadashazar, H., E. Crosbie, Y. Choi, A.F. Corral, J.P. DiGangi, G.S. Diskin, S. Dmitrovic, S. Kirschler, K. McCauley, R.H. Moore, J.B. Nowak, C.E. Robinson, J. Schlosser, M. Shook, K.L. Thornhill, C. Voigt, E.L. Winstead, L.D. Ziemba, and A. Sorooshian (2022), Analysis of MONARC and ACTIVATE Airborne Aerosol Data for Aerosol-Cloud Interaction Investigations: Efficacy of Stairstepping Flight Legs for Airborne In Situ Sampling, hosseind@arizona.edu (H.D.armin@arizona.edu (A.S., 13, 1242, doi:10.3390/atmos13081242. RSP
Orhan, O., T. Oliver-Cabrera, S. Wdowinski, S. Yalvac, Yakar, and M.L. Subsidence (2021), Land Subsidence and Its Relations with Sinkhole Activity in Karapınar Region, Turkey: A Multi-Sensor InSAR Time Series Study, Tel., +1-305-348-6826, 21, doi:10.3390/s21030774. ESI