Potential application of VIIRS Day/Night Band for monitoring nighttime surface PM2. 5 air quality from space J Wang, C Aegerter, X Xu, JJ Szykman Atmospheric environment 124, 55-63, 2016 | 126 | 2016 |
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 Wang, X Xu, S Ding, J Zeng, R Spurr, X Liu, K Chance, M Mishchenko Journal of Quantitative Spectroscopy and Radiative Transfer 146, 510-528, 2014 | 126 | 2014 |
Constraints on aerosol sources using GEOS‐Chem adjoint and MODIS radiances, and evaluation with multisensor (OMI, MISR) data X Xu, J Wang, DK Henze, W Qu, M Kopacz Journal of Geophysical Research: Atmospheres 118, 2013 | 110 | 2013 |
Improved algorithm for MODIS satellite retrievals of aerosol optical thickness over land in dusty atmosphere: Implications for air quality monitoring in China J Wang, X Xu, R Spurr, Y Wang, E Drury Remote Sensing of Environment 114 (11), 2575-2583, 2010 | 105 | 2010 |
Top‐down estimate of dust emissions through integration of MODIS and MISR aerosol retrievals with the GEOS‐Chem adjoint model J Wang, X Xu, DK Henze, J Zeng, Q Ji, SC Tsay, J Huang Geophysical research letters 39 (8), 2012 | 99 | 2012 |
Passive remote sensing of altitude and optical depth of dust plumes using the oxygen A and B bands: First results from EPIC/DSCOVR at Lagrange‐1 point X Xu, J Wang, Y Wang, J Zeng, O Torres, Y Yang, A Marshak, J Reid, ... Geophysical Research Letters 44 (14), 7544-7554, 2017 | 97 | 2017 |
Retrieval of aerosol microphysical properties from AERONET photopolarimetric measurements: 1. Information content analysis X Xu, J Wang Journal of Geophysical Research: Atmospheres 120 (14), 7059-7078, 2015 | 84 | 2015 |
Quantifying contributions of natural and anthropogenic dust emission from different climatic regions S Chen, N Jiang, J Huang, X Xu, H Zhang, Z Zang, K Huang, X Xu, Y Wei, ... Atmospheric Environment 191, 94-104, 2018 | 82 | 2018 |
Monthly top‐down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis Z Qu, DK Henze, SL Capps, Y Wang, X Xu, J Wang, M Keller Journal of Geophysical Research: Atmospheres 122 (8), 4600-4625, 2017 | 82 | 2017 |
Retrieval of aerosol microphysical properties from AERONET photopolarimetric measurements: 2. A new research algorithm and case demonstration X Xu, J Wang, J Zeng, R Spurr, X Liu, O Dubovik, L Li, Z Li, ... Journal of Geophysical Research: Atmospheres 120 (14), 7079-7098, 2015 | 73 | 2015 |
An algorithm for hyperspectral remote sensing of aerosols: 1. Development of theoretical framework W Hou, J Wang, X Xu, JS Reid, D Han Journal of Quantitative Spectroscopy and Radiative Transfer 178, 400-415, 2016 | 69 | 2016 |
Evaluation of MODIS Deep Blue aerosol algorithm in desert region of East Asia: Ground validation and intercomparison M Tao, L Chen, Z Wang, J Wang, H Che, X Xu, W Wang, J Tao, H Zhu, ... Journal of Geophysical Research: Atmospheres 122 (19), 10,357-10,368, 2017 | 66 | 2017 |
Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space X Xu, J Wang, Y Wang, J Zeng, O Torres, JS Reid, SD Miller, JV Martins, ... Atmospheric Measurement Techniques 12 (6), 3269-3288, 2019 | 63 | 2019 |
Improving Remote Sensing of Aerosol Microphysical Properties by Near‐Infrared Polarimetric Measurements Over Vegetated Land: Information Content Analysis W Hou, Z Li, J Wang, X Xu, P Goloub, L Qie Journal of Geophysical Research: Atmospheres 123 (4), 2215-2243, 2018 | 62 | 2018 |
Analysis on Quasi-periodic Characteristics of Precipitation in Recent 50 Years and Trend in Next 20 Years in China C WANG, J LI, X LI, X XU Arid Zone Research 1, 002, 2012 | 62* | 2012 |
An algorithm for hyperspectral remote sensing of aerosols: 2. Information content analysis for aerosol parameters and principal components of surface spectra W Hou, J Wang, X Xu, JS Reid Journal of Quantitative Spectroscopy and Radiative Transfer 192, 14-29, 2017 | 57 | 2017 |
Polarimetric remote sensing in oxygen A and B bands: sensitivity study and information content analysis for vertical profile of aerosols S Ding, J Wang, X Xu Atmospheric Measurement Techniques 9 (5), 2077-2092, 2016 | 56 | 2016 |
Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model M Gao, BA Franz, K Knobelspiesse, PW Zhai, V Martins, S Burton, ... Atmospheric Measurement Techniques Discussions 2021, 1-41, 2021 | 54 | 2021 |
Angular dependence of aerosol information content in CAPI/TanSat observation over land: Effect of polarization and synergy with A-train satellites X Chen, J Wang, Y Liu, X Xu, Z Cai, D Yang, CX Yan, L Feng Remote Sensing of Environment 196, 163-177, 2017 | 52 | 2017 |
Detecting nighttime fire combustion phase by hybrid application of visible and infrared radiation from Suomi NPP VIIRS J Wang, S Roudini, EJ Hyer, X Xu, M Zhou, LC Garcia, JS Reid, ... Remote sensing of environment 237, 111466, 2020 | 50 | 2020 |