Articles | Volume 8, issue 2
https://doi.org/10.5194/amt-8-823-2015
© Author(s) 2015. 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-8-823-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Feb 2015
Research article |
| 19 Feb 2015
Retrieval of daytime total columnar water vapour from MODIS measurements over land surfaces
Institut für Weltraumwissenschaften, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
R. Preusker
Institut für Weltraumwissenschaften, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
R. Lindstrot
Institut für Weltraumwissenschaften, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
J. Fischer
Institut für Weltraumwissenschaften, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
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Cited
38 citations as recorded by crossref.
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- Retrieval of Daytime Total Column Water Vapour from OLCI Measurements over Land Surfaces R. Preusker et al. https://doi.org/10.3390/rs13050932
- Evaluation of tropical water vapour from CMIP6 global climate models using the ESA CCI Water Vapour climate data records J. He et al. https://doi.org/10.5194/acp-22-12591-2022
- Theoretical assessment of measurement conditions for a near-infrared polarimetric instrument adapted for stratospheric aerosols observation Y. Yukhymchuk et al. https://doi.org/10.1016/j.jqsrt.2025.109700
- The Novel Copernicus Global Dataset of Atmospheric Total Water Vapour Content with Related Uncertainties from GNSS Observations K. Rannat et al. https://doi.org/10.3390/rs15215150
- Cloud Climatologies from Global Climate Models—A Comparison of CMIP5 and CMIP6 Models with Satellite Data A. Lauer et al. https://doi.org/10.1175/JCLI-D-22-0181.1
- Refining MODIS NIR Atmospheric Water Vapor Retrieval Algorithm Using GPS-Derived Water Vapor Data J. He & Z. Liu https://doi.org/10.1109/TGRS.2020.3016655
- Analysis of the main source regions of moisture transport events with the new ESA CCI/CM‐SAF total column water vapour climate data record (v2) J. Eiras‐Barca et al. https://doi.org/10.1002/qj.4358
- 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
- TROPOMI/S5P Total Column Water Vapor validation against AERONET ground-based measurements K. Garane et al. https://doi.org/10.5194/amt-16-57-2023
- Challenges in the atmospheric characterization for the retrieval of spectrally resolved fluorescence and PRI region dynamics from space N. Sabater et al. https://doi.org/10.1016/j.rse.2020.112226
- Optimal Estimation MSG-SEVIRI Clear-Sky Total Column Water Vapour Retrieval Using the Split Window Difference J. El Kassar et al. https://doi.org/10.3390/atmos12101256
- Water Vapor Retrieval From MODIS NIR Channels Using Ground-Based GPS Data J. He & Z. Liu https://doi.org/10.1109/TGRS.2019.2962057
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- Assessment of Sampling Effects on Various Satellite-Derived Integrated Water Vapor Datasets Using GPS Measurements in Germany as Reference C. Carbajal Henken et al. https://doi.org/10.3390/rs12071170
- Validation and update of OMI Total Column Water Vapor product H. Wang et al. https://doi.org/10.5194/acp-16-11379-2016
- Applying the New MODIS-Based Precipitable Water Vapor Retrieval Algorithm Developed in the North Hemisphere to the South Hemisphere J. He & Z. Liu https://doi.org/10.1109/TGRS.2021.3059876
- Boundary layer water vapour statistics from high-spatial-resolution spaceborne imaging spectroscopy M. Richardson et al. https://doi.org/10.5194/amt-14-5555-2021
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- New sampling strategy mitigates a solar-geometry-induced bias in sub-kilometre vapour scaling statistics derived from imaging spectroscopy M. Richardson et al. https://doi.org/10.5194/amt-15-117-2022
- The Spectral Nature of Earth’s Reflected Radiation: Measurement and Science Applications G. Stephens et al. https://doi.org/10.3389/frsen.2021.664291
- Cross-calibration method based on an automated observation site D. Huang et al. https://doi.org/10.1364/OE.481861
- High‐accuracy measurements of total column water vapor from the Orbiting Carbon Observatory‐2 R. Nelson et al. https://doi.org/10.1002/2016GL071200
- A machine learning network for FY-3A MERSI NIR PWV retrieval under all-weather conditions Y. Huang et al. https://doi.org/10.1016/j.atmosres.2025.108012
- Representativeness of total column water vapour retrievals from instruments on polar orbiting satellites H. Diedrich et al. https://doi.org/10.5194/acp-16-8331-2016
- The GEWEX Water Vapor Assessment archive of water vapour products from satellite observations and reanalyses M. Schröder et al. https://doi.org/10.5194/essd-10-1093-2018
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- An uncertainty workflow for landsat TIRS split window surface temperature products incorporating atmospheric water vapor A. Hassanzadeh et al. https://doi.org/10.1016/j.rse.2026.115660
- Optimal estimation retrieval framework for daytime clear-sky total column water vapour from MTG-FCI near-infrared measurements J. El Kassar et al. https://doi.org/10.5194/amt-19-135-2026
- 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
- Biases and Abrupt Shifts of Monthly Precipitable Water from Terra MODIS N. Lu https://doi.org/10.3390/rs11111315
- An Improved MODIS NIR PWV Retrieval Algorithm Based on an Artificial Neural Network Considering the Land-Cover Types X. Ma et al. https://doi.org/10.1109/TGRS.2022.3170078
- Large‐eddy simulations over Germany using ICON: a comprehensive evaluation R. Heinze et al. https://doi.org/10.1002/qj.2947
- MERIS full‐resolution total column water vapor: Observing horizontal convective rolls C. Carbajal Henken et al. https://doi.org/10.1002/2015GL066650
- Evaluation of total column water vapour products from satellite observations and reanalyses within the GEWEX Water Vapor Assessment T. Trent et al. https://doi.org/10.5194/acp-24-9667-2024
- Global validation of columnar water vapor derived from EOS MODIS-MAIAC algorithm against the ground-based AERONET observations V. Martins et al. https://doi.org/10.1016/j.atmosres.2019.04.005
38 citations as recorded by crossref.
- The Advanced Infra-Red WAter Vapour Estimator (AIRWAVE) version 2: algorithm evolution, dataset description and performance improvements E. Castelli et al. https://doi.org/10.5194/amt-12-371-2019
- Retrieval of Daytime Total Column Water Vapour from OLCI Measurements over Land Surfaces R. Preusker et al. https://doi.org/10.3390/rs13050932
- Evaluation of tropical water vapour from CMIP6 global climate models using the ESA CCI Water Vapour climate data records J. He et al. https://doi.org/10.5194/acp-22-12591-2022
- Theoretical assessment of measurement conditions for a near-infrared polarimetric instrument adapted for stratospheric aerosols observation Y. Yukhymchuk et al. https://doi.org/10.1016/j.jqsrt.2025.109700
- The Novel Copernicus Global Dataset of Atmospheric Total Water Vapour Content with Related Uncertainties from GNSS Observations K. Rannat et al. https://doi.org/10.3390/rs15215150
- Cloud Climatologies from Global Climate Models—A Comparison of CMIP5 and CMIP6 Models with Satellite Data A. Lauer et al. https://doi.org/10.1175/JCLI-D-22-0181.1
- Refining MODIS NIR Atmospheric Water Vapor Retrieval Algorithm Using GPS-Derived Water Vapor Data J. He & Z. Liu https://doi.org/10.1109/TGRS.2020.3016655
- Analysis of the main source regions of moisture transport events with the new ESA CCI/CM‐SAF total column water vapour climate data record (v2) J. Eiras‐Barca et al. https://doi.org/10.1002/qj.4358
- 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
- TROPOMI/S5P Total Column Water Vapor validation against AERONET ground-based measurements K. Garane et al. https://doi.org/10.5194/amt-16-57-2023
- Challenges in the atmospheric characterization for the retrieval of spectrally resolved fluorescence and PRI region dynamics from space N. Sabater et al. https://doi.org/10.1016/j.rse.2020.112226
- Optimal Estimation MSG-SEVIRI Clear-Sky Total Column Water Vapour Retrieval Using the Split Window Difference J. El Kassar et al. https://doi.org/10.3390/atmos12101256
- Water Vapor Retrieval From MODIS NIR Channels Using Ground-Based GPS Data J. He & Z. Liu https://doi.org/10.1109/TGRS.2019.2962057
- 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
- Assessment of Sampling Effects on Various Satellite-Derived Integrated Water Vapor Datasets Using GPS Measurements in Germany as Reference C. Carbajal Henken et al. https://doi.org/10.3390/rs12071170
- Validation and update of OMI Total Column Water Vapor product H. Wang et al. https://doi.org/10.5194/acp-16-11379-2016
- Applying the New MODIS-Based Precipitable Water Vapor Retrieval Algorithm Developed in the North Hemisphere to the South Hemisphere J. He & Z. Liu https://doi.org/10.1109/TGRS.2021.3059876
- Boundary layer water vapour statistics from high-spatial-resolution spaceborne imaging spectroscopy M. Richardson et al. https://doi.org/10.5194/amt-14-5555-2021
- Global Ozone Monitoring Experiment-2 (GOME-2) daily and monthly level-3 products of atmospheric trace gas columns K. Chan et al. https://doi.org/10.5194/essd-15-1831-2023
- Validation of GOME-2/MetOp-A total water vapour column using reference radiosonde data from the GRUAN network M. Antón et al. https://doi.org/10.5194/amt-8-1135-2015
- Towards the quantitative and physically-based interpretation of solar-induced vegetation fluorescence retrieved from global imaging S. VAN WITTENBERGHE et al. https://doi.org/10.32615/ps.2021.034
- New sampling strategy mitigates a solar-geometry-induced bias in sub-kilometre vapour scaling statistics derived from imaging spectroscopy M. Richardson et al. https://doi.org/10.5194/amt-15-117-2022
- The Spectral Nature of Earth’s Reflected Radiation: Measurement and Science Applications G. Stephens et al. https://doi.org/10.3389/frsen.2021.664291
- Cross-calibration method based on an automated observation site D. Huang et al. https://doi.org/10.1364/OE.481861
- High‐accuracy measurements of total column water vapor from the Orbiting Carbon Observatory‐2 R. Nelson et al. https://doi.org/10.1002/2016GL071200
- A machine learning network for FY-3A MERSI NIR PWV retrieval under all-weather conditions Y. Huang et al. https://doi.org/10.1016/j.atmosres.2025.108012
- Representativeness of total column water vapour retrievals from instruments on polar orbiting satellites H. Diedrich et al. https://doi.org/10.5194/acp-16-8331-2016
- The GEWEX Water Vapor Assessment archive of water vapour products from satellite observations and reanalyses M. Schröder et al. https://doi.org/10.5194/essd-10-1093-2018
- 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
- An uncertainty workflow for landsat TIRS split window surface temperature products incorporating atmospheric water vapor A. Hassanzadeh et al. https://doi.org/10.1016/j.rse.2026.115660
- Optimal estimation retrieval framework for daytime clear-sky total column water vapour from MTG-FCI near-infrared measurements J. El Kassar et al. https://doi.org/10.5194/amt-19-135-2026
- 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
- Biases and Abrupt Shifts of Monthly Precipitable Water from Terra MODIS N. Lu https://doi.org/10.3390/rs11111315
- An Improved MODIS NIR PWV Retrieval Algorithm Based on an Artificial Neural Network Considering the Land-Cover Types X. Ma et al. https://doi.org/10.1109/TGRS.2022.3170078
- Large‐eddy simulations over Germany using ICON: a comprehensive evaluation R. Heinze et al. https://doi.org/10.1002/qj.2947
- MERIS full‐resolution total column water vapor: Observing horizontal convective rolls C. Carbajal Henken et al. https://doi.org/10.1002/2015GL066650
- Evaluation of total column water vapour products from satellite observations and reanalyses within the GEWEX Water Vapor Assessment T. Trent et al. https://doi.org/10.5194/acp-24-9667-2024
- Global validation of columnar water vapor derived from EOS MODIS-MAIAC algorithm against the ground-based AERONET observations V. Martins et al. https://doi.org/10.1016/j.atmosres.2019.04.005
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