Articles | Volume 7, issue 6
https://doi.org/10.5194/amt-7-1901-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-7-1901-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Jun 2014
Research article |
| 30 Jun 2014
Water vapor retrieval from OMI visible spectra
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA
K. Chance
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA
G. González Abad
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA
C. Chan Miller
Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA 02138, USA
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- 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
- 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
- A Gradient Boosting Decision Tree Based Correction Model for AIRS Infrared Water Vapor Product J. Xu & Z. Liu https://doi.org/10.1029/2023GL104072
- 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
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- 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
- 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
45 citations as recorded by crossref.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Validation and update of OMI Total Column Water Vapor product H. Wang et al. https://doi.org/10.5194/acp-16-11379-2016
- The HITRAN2020 molecular spectroscopic database I. Gordon et al. https://doi.org/10.1016/j.jqsrt.2021.107949
- 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
- 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
- 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
- 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
- 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
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. https://doi.org/10.5194/acp-18-5699-2018
- Glyoxal retrieval from the Ozone Monitoring Instrument C. Chan Miller et al. https://doi.org/10.5194/amt-7-3891-2014
- Tropospheric emissions: Monitoring of pollution (TEMPO) P. Zoogman et al. https://doi.org/10.1016/j.jqsrt.2016.05.008
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
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- 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
- 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
- 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
- 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
- A Gradient Boosting Decision Tree Based Correction Model for AIRS Infrared Water Vapor Product J. Xu & Z. Liu https://doi.org/10.1029/2023GL104072
- 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
- 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
- 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
- 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
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