45 citations as recorded by crossref.

1. Improving the Accuracy of MODIS Near-Infrared Water Vapor Product Under all Weather Conditions Based on Machine Learning Considering Multiple Dependence Parameters J. Xu & Z. Liu https://doi.org/10.1109/TGRS.2023.3252024
2. Radiance-based retrieval of total water vapor content from sentinel-3A OLCI NIR channels using ground-based GPS measurements J. Xu & Z. Liu https://doi.org/10.1016/j.jag.2021.102586
3. Improvements in Atmospheric Water Vapor Content Retrievals Over Open Oceans From Satellite Passive Microwave Radiometers E. Zabolotskikh & B. Chapron https://doi.org/10.1109/JSTARS.2017.2671920
4. Nitrogen dioxide and formaldehyde measurements from the GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator over Houston, Texas C. Nowlan et al. https://doi.org/10.5194/amt-11-5941-2018
5. Updated Smithsonian Astrophysical Observatory Ozone Monitoring Instrument (SAO OMI) formaldehyde retrieval G. González Abad et al. https://doi.org/10.5194/amt-8-19-2015
6. A physics-based atmospheric precipitable water vapor retrieval algorithm by synchronizing MODIS near-infrared and thermal infrared measurements S. Zhou & J. Cheng https://doi.org/10.1016/j.rse.2024.114523
7. Assessment of global total column water vapor sounding using a spaceborne differential absorption radar L. Millán et al. https://doi.org/10.5194/amt-13-5193-2020
8. Ozone Monitoring Instrument (OMI) Total Column Water Vapor version 4 validation and applications H. Wang et al. https://doi.org/10.5194/amt-12-5183-2019
9. Total water vapour columns derived from Sentinel 5P using the AMC-DOAS method T. Küchler et al. https://doi.org/10.5194/amt-15-297-2022
10. All-Weather Retrieval of Total Column Water Vapor From Aura OMI Visible Observations J. Xu & Z. Liu https://doi.org/10.1109/JSTARS.2024.3523048
11. Validation and update of OMI Total Column Water Vapor product H. Wang et al. https://doi.org/10.5194/acp-16-11379-2016
12. The HITRAN2020 molecular spectroscopic database I. Gordon et al. https://doi.org/10.1016/j.jqsrt.2021.107949
13. High-Resolution Integrated Water Vapor Estimation Using the Gaussian Mixed Long Short-Term Memory Network: A Satellite-Based Intercomparison and Data Fusion L. Wang et al. https://doi.org/10.1109/TGRS.2025.3638337
14. Total column water vapor retrievals from the Geostationary Environment Monitoring Spectrometer (GEMS) H. Cha et al. https://doi.org/10.1016/j.rse.2026.115401
15. Validation of MODIS integrated water vapor product against reference GPS data at the Iberian Peninsula J. Vaquero-Martínez et al. https://doi.org/10.1016/j.jag.2017.07.008
16. Validation of integrated water vapor from OMI satellite instrument against reference GPS data at the Iberian Peninsula J. Vaquero-Martínez et al. https://doi.org/10.1016/j.scitotenv.2016.12.032
17. Contemporary methods for retrieving the integrated atmospheric water-vapor content and the total cloud liquid-water content E. Zabolotskikh https://doi.org/10.1134/S000143381703015X
18. The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. https://doi.org/10.5194/acp-18-5699-2018
19. Glyoxal retrieval from the Ozone Monitoring Instrument C. Chan Miller et al. https://doi.org/10.5194/amt-7-3891-2014
20. Tropospheric emissions: Monitoring of pollution (TEMPO) P. Zoogman et al. https://doi.org/10.1016/j.jqsrt.2016.05.008
21. TROPOspheric Monitoring Instrument observations of total column water vapour: Algorithm and validation K. Chan et al. https://doi.org/10.1016/j.scitotenv.2022.153232
22. Evaluation of satellite-based algorithms to estimate photosynthetically available radiation (PAR) reaching the ocean surface at high northern latitudes J. Laliberté et al. https://doi.org/10.1016/j.rse.2016.06.014
23. Water Vapor Retrievals from Near-infrared Channels of the Advanced Medium Resolution Spectral Imager Instrument onboard the Fengyun-3D Satellite L. Wang et al. https://doi.org/10.1007/s00376-020-0174-8
24. Intercomparison of XH2O Data from the GOSAT TANSO-FTS (TIR and SWIR) and Ground-Based FTS Measurements: Impact of the Spatial Variability of XH2O on the Intercomparison H. Ohyama et al. https://doi.org/10.3390/rs9010064
25. High-Precision All-Weather FY-4A PWV Reconstruction Models Using GPT3 and ERA5 Data X. Zhang et al. https://doi.org/10.1109/JSTARS.2026.3701951
26. Independent Validation of Total Precipitable Water From Morphed Integrated Microwave Imagery at CIMSS: A Global Study Using GNSS and Radiosonde Measurements J. Xu et al. https://doi.org/10.1109/TGRS.2026.3656168
27. A semi-empirical potential energy surface and line list for H216O extending into the near-ultraviolet E. Conway et al. https://doi.org/10.5194/acp-20-10015-2020
28. First satellite observation of total column water vapor from the Chinese Environmental Trace Gases Monitoring Instrument R. Zhao et al. https://doi.org/10.1007/s11430-023-1418-8
29. 基于国产卫星紫外可见光谱仪的大气水汽总量观测 冉. 赵 et al. https://doi.org/10.1360/N072023-0317
30. A Back Propagation Neural Network-Based Algorithm for Retrieving All-Weather Precipitable Water Vapor From MODIS NIR Measurements J. Xu & Z. Liu https://doi.org/10.1109/TGRS.2022.3219405
31. Validation of Copernicus Sentinel-3/OLCI Level 2 Land Integrated Water Vapour product N. Kalakoski et al. https://doi.org/10.5194/amt-15-5129-2022
32. An optimal sequential physical retrieval system for retrieving high-accuracy diurnal atmospheric gases from FY-4B/GIIRS: Theory, algorithm and evaluation Z. Liang et al. https://doi.org/10.1016/j.rse.2025.114901
33. Inter-comparison of integrated water vapor from satellite instruments using reference GPS data at the Iberian Peninsula J. Vaquero-Martínez et al. https://doi.org/10.1016/j.rse.2017.09.028
34. The First Validation of Sentinel-3 OLCI Integrated Water Vapor Products Using Reference GPS Data in Mainland China J. Xu & Z. Liu https://doi.org/10.1109/TGRS.2021.3099168
35. A Linear Regression of Differential PWV Calibration Model to Improve the Accuracy of MODIS NIR All-Weather PWV Products Based on Ground-Based GPS PWV Data J. Xu & Z. Liu https://doi.org/10.1109/JSTARS.2022.3204823
36. OMI total bromine monoxide (OMBRO) data product: algorithm, retrieval and measurement comparisons R. Suleiman et al. https://doi.org/10.5194/amt-12-2067-2019
37. On the relative absorption strengths of water vapour in the blue wavelength range J. Lampel et al. https://doi.org/10.5194/amt-8-4329-2015
38. Total column water vapor retrieval for Global Ozone Monitoring Experience-2 (GOME-2) visible blue observations K. Chan et al. https://doi.org/10.5194/amt-13-4169-2020
39. A highly accurate ab initio dipole moment surface for the ground electronic state of water vapour for spectra extending into the ultraviolet E. Conway et al. https://doi.org/10.1063/1.5043545
40. Five decades observing Earth’s atmospheric trace gases using ultraviolet and visible backscatter solar radiation from space G. Gonzalez Abad et al. https://doi.org/10.1016/j.jqsrt.2019.04.030
41. A Gradient Boosting Decision Tree Based Correction Model for AIRS Infrared Water Vapor Product J. Xu & Z. Liu https://doi.org/10.1029/2023GL104072
42. Water vapour products from ERA5, MERSI‐II/FY‐3D, OLCI/Sentinel‐3A, OLCI/Sentinel‐3B, MODIS/Aqua and MODIS/Terra in Australia: A comparison against in situGPS water vapour data J. Xu & Z. Liu https://doi.org/10.1002/qj.4467
43. Deriving the slit functions from OMI solar observations and its implications for ozone-profile retrieval K. Sun et al. https://doi.org/10.5194/amt-10-3677-2017
44. Evaluation of Precipitable Water Vapor Product From MODIS and MERSI-II NIR Channels Using Ground- Based GPS Measurements Over Australia J. Xu & Z. Liu https://doi.org/10.1109/JSTARS.2022.3211879
45. Machine learning-based retrieval of total column water vapor over land using GMI-sensed passive microwave measurements J. Xu & Z. Liu https://doi.org/10.1080/15481603.2024.2385180