Articles | Volume 8, issue 3
https://doi.org/10.5194/amt-8-1135-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/amt-8-1135-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Mar 2015
Research article |
| 06 Mar 2015
Validation of GOME-2/MetOp-A total water vapour column using reference radiosonde data from the GRUAN network
M. Antón
CORRESPONDING AUTHOR
Departamento de Física, Universidad de Extremadura, Badajoz, Spain
D. Loyola
Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Grupo de Óptica Atmosférica (GOA), Universidad de Valladolid, Valladolid, Spain
Meteorological Observatory Lindenberg, Deutscher Wetterdienst, Lindenberg, Germany
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- STCFCM: A Spatial and Temporal Cloud Fraction-Based Calibration Method for Satellite-Derived Near-Infrared Water Vapor Product J. Xu & Z. Liu 10.1109/TGRS.2024.3382312
- Integrated water vapor over the Arctic: Comparison between radiosondes and sun photometer observations J. Antuña-Marrero et al. 10.1016/j.atmosres.2022.106059
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23 citations as recorded by crossref.
- Global evaluation of the precipitable-water-vapor product from MERSI-II (Medium Resolution Spectral Imager) on board the Fengyun-3D satellite W. Zhang et al. 10.5194/amt-14-7821-2021
- Precipitable water vapor over oceans from the Maritime Aerosol Network: Evaluation of global models and satellite products under clear sky conditions D. Pérez-Ramírez et al. 10.1016/j.atmosres.2018.09.007
- A novel machine learning-based approach for improving global correction of AIRS-derived water vapor satellite product J. Xu & Z. Liu 10.1016/j.jag.2024.103787
- Improving Fengyun-3D satellite atmospheric precipitable water vapor products through machine learning-based post-processing correction M. Li et al. 10.1016/j.atmosres.2025.108133
- Comparison of integrated water vapor from GNSS and radiosounding at four GRUAN stations J. Vaquero-Martínez et al. 10.1016/j.scitotenv.2018.08.192
- Long-Term Calibration of Satellite-Based All-Weather Precipitable Water Vapor Product From FengYun-3A MERSI Near-Infrared Bands From 2010 to 2017 in China J. Xu & Z. Liu 10.1109/TGRS.2023.3300880
- An Enhanced Algorithm Including First Guess for Deriving Precipitable Water Vapor From MODIS NIR Observations in High-Latitude Regions J. Xu & Z. Liu 10.1109/TGRS.2024.3424830
- 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
- Development and Validation of Integrated Water Vapor Under Variable Cloud Conditions Using Sentinel-3 OLCI Near-Infrared Radiance Measurements J. Xu & Z. Liu 10.1109/TGRS.2025.3541127
- STCFCM: A Spatial and Temporal Cloud Fraction-Based Calibration Method for Satellite-Derived Near-Infrared Water Vapor Product J. Xu & Z. Liu 10.1109/TGRS.2024.3382312
- Integrated water vapor over the Arctic: Comparison between radiosondes and sun photometer observations J. Antuña-Marrero et al. 10.1016/j.atmosres.2022.106059
- Comparison of total water vapor column from GOME-2 on MetOp-A against ground-based GPS measurements at the Iberian Peninsula R. Román et al. 10.1016/j.scitotenv.2015.06.124
- Total column water vapor retrieval for Global Ozone Monitoring Experience-2 (GOME-2) visible blue observations K. Chan et al. 10.5194/amt-13-4169-2020
- Validation of GOME-2/Metop total column water vapour with ground-based and in situ measurements N. Kalakoski et al. 10.5194/amt-9-1533-2016
- Evaluation of Water Vapor Product from TROPOMI and GOME-2 Satellites against Ground-Based GNSS Data over Europe J. Vaquero-Martinez et al. 10.3390/atmos13071079
- Feasibility study of a total precipitable water IPDA lidar from a solar-powered stratospheric aircraft J. Dykema et al. 10.1364/AO.494101
- Comprehensive Evaluation and Comparison of AIRS, VASS, and VIRR Water Vapor Products Over Antarctica R. Fan et al. 10.1029/2023JD039221
- TROPOspheric Monitoring Instrument observations of total column water vapour: Algorithm and validation K. Chan et al. 10.1016/j.scitotenv.2022.153232
- Significant increase in water vapour over India and Indian Ocean: Implications for tropospheric warming and regional climate forcing V. Patel & J. Kuttippurath 10.1016/j.scitotenv.2022.155885
- 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
- Water vapor satellite products in the European Arctic: An inter-comparison against GNSS data J. Vaquero-Martínez et al. 10.1016/j.scitotenv.2020.140335
- 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
- All-Weather Retrieval of Total Column Water Vapor From Aura OMI Visible Observations J. Xu & Z. Liu 10.1109/JSTARS.2024.3523048
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 31 May 2025
Short summary
The main goal of this article was to validate the total water vapour column (TWVC) measured by the Global Ozone Monitoring Experiment-2 (GOME-2) satellite sensor highly accurate sounding measurements. The smallest relative differences found in this satellite-sounding comparison (below 10%) were achieved for those cloud-free cases with satellite SZA below 50º which can be considered as a good result for satellite retrievals.
The main goal of this article was to validate the total water vapour column (TWVC) measured by...
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