Articles | Volume 16, issue 13
https://doi.org/10.5194/acp-16-8331-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-8331-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Jul 2016
Research article |
| 11 Jul 2016
Representativeness of total column water vapour retrievals from instruments on polar orbiting satellites
Hannes Diedrich
CORRESPONDING AUTHOR
Institut für Weltraumwissenchaften, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Falco Wittchen
Institut für Weltraumwissenchaften, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
René Preusker
Institut für Weltraumwissenchaften, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Jürgen Fischer
Institut für Weltraumwissenchaften, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
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Cited
14 citations as recorded by crossref.
- Diurnal variation of precipitable water vapor over Central and South America A. Meza et al. 10.1016/j.geog.2020.04.005
- On the spatio-temporal representativeness of observations N. Schutgens et al. 10.5194/acp-17-9761-2017
- 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
- The ESA GOME-Evolution “Climate” water vapor product: a homogenized time series of H2O columns from GOME, SCIAMACHY, and GOME-2 S. Beirle et al. 10.5194/essd-10-449-2018
- GPS Precipitable Water Vapor Estimations over Costa Rica: A Comparison against Atmospheric Sounding and Moderate Resolution Imaging Spectrometer (MODIS) P. Campos-Arias et al. 10.3390/cli7050063
- Assessing the Pattern Differences between Satellite-Observed Upper Tropospheric Humidity and Total Column Water Vapor during Major El Niño Events L. Shi et al. 10.3390/rs10081188
- Retrieval of Daytime Total Column Water Vapour from OLCI Measurements over Land Surfaces R. Preusker et al. 10.3390/rs13050932
- Ozone Monitoring Instrument (OMI) Total Column Water Vapor version 4 validation and applications H. Wang et al. 10.5194/amt-12-5183-2019
- Site representativity of AERONET and GAW remotely sensed aerosol optical thickness and absorbing aerosol optical thickness observations N. Schutgens 10.5194/acp-20-7473-2020
- 10-Year assessment of GNSS integrated water vapour in the SIRGAS network P. Rosell et al. 10.1016/j.jsames.2023.104539
- The GEWEX Water Vapor Assessment: Overview and Introduction to Results and Recommendations M. Schröder et al. 10.3390/rs11030251
- Characterisations of Europe's integrated water vapour and assessments of atmospheric reanalyses using more than 2 decades of ground-based GPS P. Yuan et al. 10.5194/acp-23-3517-2023
- 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
- Assessment of Sampling Effects on Various Satellite-Derived Integrated Water Vapor Datasets Using GPS Measurements in Germany as Reference C. Carbajal Henken et al. 10.3390/rs12071170
14 citations as recorded by crossref.
- Diurnal variation of precipitable water vapor over Central and South America A. Meza et al. 10.1016/j.geog.2020.04.005
- On the spatio-temporal representativeness of observations N. Schutgens et al. 10.5194/acp-17-9761-2017
- 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
- The ESA GOME-Evolution “Climate” water vapor product: a homogenized time series of H2O columns from GOME, SCIAMACHY, and GOME-2 S. Beirle et al. 10.5194/essd-10-449-2018
- GPS Precipitable Water Vapor Estimations over Costa Rica: A Comparison against Atmospheric Sounding and Moderate Resolution Imaging Spectrometer (MODIS) P. Campos-Arias et al. 10.3390/cli7050063
- Assessing the Pattern Differences between Satellite-Observed Upper Tropospheric Humidity and Total Column Water Vapor during Major El Niño Events L. Shi et al. 10.3390/rs10081188
- Retrieval of Daytime Total Column Water Vapour from OLCI Measurements over Land Surfaces R. Preusker et al. 10.3390/rs13050932
- Ozone Monitoring Instrument (OMI) Total Column Water Vapor version 4 validation and applications H. Wang et al. 10.5194/amt-12-5183-2019
- Site representativity of AERONET and GAW remotely sensed aerosol optical thickness and absorbing aerosol optical thickness observations N. Schutgens 10.5194/acp-20-7473-2020
- 10-Year assessment of GNSS integrated water vapour in the SIRGAS network P. Rosell et al. 10.1016/j.jsames.2023.104539
- The GEWEX Water Vapor Assessment: Overview and Introduction to Results and Recommendations M. Schröder et al. 10.3390/rs11030251
- Characterisations of Europe's integrated water vapour and assessments of atmospheric reanalyses using more than 2 decades of ground-based GPS P. Yuan et al. 10.5194/acp-23-3517-2023
- 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
- Assessment of Sampling Effects on Various Satellite-Derived Integrated Water Vapor Datasets Using GPS Measurements in Germany as Reference C. Carbajal Henken et al. 10.3390/rs12071170
Latest update: 30 Oct 2025
Short summary
As water vapour is the most important greenhouse gas, the remote sensing of total column water vapour (TCWV) is an important part of climate research. The remote sensing from polar orbiting, sun-synchronous satellites has some limitations. This study investigates the representativeness of observations from space regarding these limitations. The mean daily variability of the diurnal cycle of TCWV was quantified using a water vapour data set from ground-based observations.
As water vapour is the most important greenhouse gas, the remote sensing of total column water...
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