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
Viewed
Total article views: 4,674 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jan 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,105 | 2,440 | 129 | 4,674 | 139 | 114 |
- HTML: 2,105
- PDF: 2,440
- XML: 129
- Total: 4,674
- BibTeX: 139
- EndNote: 114
Total article views: 2,880 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Jun 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,664 | 1,113 | 103 | 2,880 | 119 | 102 |
- HTML: 1,664
- PDF: 1,113
- XML: 103
- Total: 2,880
- BibTeX: 119
- EndNote: 102
Total article views: 1,794 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jan 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 441 | 1,327 | 26 | 1,794 | 20 | 12 |
- HTML: 441
- PDF: 1,327
- XML: 26
- Total: 1,794
- BibTeX: 20
- EndNote: 12
Cited
38 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 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 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 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. 10.5194/amt-11-5941-2018
- Updated Smithsonian Astrophysical Observatory Ozone Monitoring Instrument (SAO OMI) formaldehyde retrieval G. González Abad et al. 10.5194/amt-8-19-2015
- Assessment of global total column water vapor sounding using a spaceborne differential absorption radar L. Millán et al. 10.5194/amt-13-5193-2020
- Ozone Monitoring Instrument (OMI) Total Column Water Vapor version 4 validation and applications H. Wang et al. 10.5194/amt-12-5183-2019
- Total water vapour columns derived from Sentinel 5P using the AMC-DOAS method T. Küchler et al. 10.5194/amt-15-297-2022
- Validation and update of OMI Total Column Water Vapor product H. Wang et al. 10.5194/acp-16-11379-2016
- The HITRAN2020 molecular spectroscopic database I. Gordon et al. 10.1016/j.jqsrt.2021.107949
- Validation of MODIS integrated water vapor product against reference GPS data at the Iberian Peninsula J. Vaquero-Martínez et al. 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. 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 10.1134/S000143381703015X
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- Glyoxal retrieval from the Ozone Monitoring Instrument C. Chan Miller et al. 10.5194/amt-7-3891-2014
- Tropospheric emissions: Monitoring of pollution (TEMPO) P. Zoogman et al. 10.1016/j.jqsrt.2016.05.008
- TROPOspheric Monitoring Instrument observations of total column water vapour: Algorithm and validation K. Chan et al. 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. 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. 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. 10.3390/rs9010064
- A semi-empirical potential energy surface and line list for H<sub>2</sub><sup>16</sup>O extending into the near-ultraviolet E. Conway et al. 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. 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. 10.1360/N072023-0317
- A Back Propagation Neural Network-Based Algorithm for Retrieving All-Weather Precipitable Water Vapor From MODIS NIR Measurements J. Xu & Z. Liu 10.1109/TGRS.2022.3219405
- Validation of Copernicus Sentinel-3/OLCI Level 2 Land Integrated Water Vapour product N. Kalakoski et al. 10.5194/amt-15-5129-2022
- Inter-comparison of integrated water vapor from satellite instruments using reference GPS data at the Iberian Peninsula J. Vaquero-Martínez et al. 10.1016/j.rse.2017.09.028
- The First Validation of Sentinel-3 OLCI Integrated Water Vapor Products Using Reference GPS Data in Mainland China J. Xu & Z. Liu 10.1109/TGRS.2021.3099168
- 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 10.1109/JSTARS.2022.3204823
- OMI total bromine monoxide (OMBRO) data product: algorithm, retrieval and measurement comparisons R. Suleiman et al. 10.5194/amt-12-2067-2019
- On the relative absorption strengths of water vapour in the blue wavelength range J. Lampel et al. 10.5194/amt-8-4329-2015
- 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. 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. 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 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 10.1002/qj.4467
- Deriving the slit functions from OMI solar observations and its implications for ozone-profile retrieval K. Sun et al. 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 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 10.1080/15481603.2024.2385180
- Glyoxal retrieval from the Ozone Monitoring Instrument C. Miller et al. 10.5194/amtd-7-6065-2014
37 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 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 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 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. 10.5194/amt-11-5941-2018
- Updated Smithsonian Astrophysical Observatory Ozone Monitoring Instrument (SAO OMI) formaldehyde retrieval G. González Abad et al. 10.5194/amt-8-19-2015
- Assessment of global total column water vapor sounding using a spaceborne differential absorption radar L. Millán et al. 10.5194/amt-13-5193-2020
- Ozone Monitoring Instrument (OMI) Total Column Water Vapor version 4 validation and applications H. Wang et al. 10.5194/amt-12-5183-2019
- Total water vapour columns derived from Sentinel 5P using the AMC-DOAS method T. Küchler et al. 10.5194/amt-15-297-2022
- Validation and update of OMI Total Column Water Vapor product H. Wang et al. 10.5194/acp-16-11379-2016
- The HITRAN2020 molecular spectroscopic database I. Gordon et al. 10.1016/j.jqsrt.2021.107949
- Validation of MODIS integrated water vapor product against reference GPS data at the Iberian Peninsula J. Vaquero-Martínez et al. 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. 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 10.1134/S000143381703015X
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- Glyoxal retrieval from the Ozone Monitoring Instrument C. Chan Miller et al. 10.5194/amt-7-3891-2014
- Tropospheric emissions: Monitoring of pollution (TEMPO) P. Zoogman et al. 10.1016/j.jqsrt.2016.05.008
- TROPOspheric Monitoring Instrument observations of total column water vapour: Algorithm and validation K. Chan et al. 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. 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. 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. 10.3390/rs9010064
- A semi-empirical potential energy surface and line list for H<sub>2</sub><sup>16</sup>O extending into the near-ultraviolet E. Conway et al. 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. 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. 10.1360/N072023-0317
- A Back Propagation Neural Network-Based Algorithm for Retrieving All-Weather Precipitable Water Vapor From MODIS NIR Measurements J. Xu & Z. Liu 10.1109/TGRS.2022.3219405
- Validation of Copernicus Sentinel-3/OLCI Level 2 Land Integrated Water Vapour product N. Kalakoski et al. 10.5194/amt-15-5129-2022
- Inter-comparison of integrated water vapor from satellite instruments using reference GPS data at the Iberian Peninsula J. Vaquero-Martínez et al. 10.1016/j.rse.2017.09.028
- The First Validation of Sentinel-3 OLCI Integrated Water Vapor Products Using Reference GPS Data in Mainland China J. Xu & Z. Liu 10.1109/TGRS.2021.3099168
- 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 10.1109/JSTARS.2022.3204823
- OMI total bromine monoxide (OMBRO) data product: algorithm, retrieval and measurement comparisons R. Suleiman et al. 10.5194/amt-12-2067-2019
- On the relative absorption strengths of water vapour in the blue wavelength range J. Lampel et al. 10.5194/amt-8-4329-2015
- 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. 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. 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 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 10.1002/qj.4467
- Deriving the slit functions from OMI solar observations and its implications for ozone-profile retrieval K. Sun et al. 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 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 10.1080/15481603.2024.2385180
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 21 Nov 2024
