Articles | Volume 11, issue 5
https://doi.org/10.5194/amt-11-3091-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-3091-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 May 2018
Research article |
| 30 May 2018
| 30 May 2018
Evaluating tropospheric humidity from GPS radio occultation, radiosonde, and AIRS from high-resolution time series
COSMIC Program Office, University Corporation for
Atmospheric Research (UCAR), Boulder, Colorado, USA
Wegener Center for Climate and Global Change (WEGC), University of
Graz, Graz, Austria
Richard Anthes
COSMIC Program Office, University Corporation for
Atmospheric Research (UCAR), Boulder, Colorado, USA
William Randel
National Center for Atmospheric Research (NCAR),
Boulder, Colorado, USA
Shu-Peng Ho
COSMIC Program Office, University Corporation for
Atmospheric Research (UCAR), Boulder, Colorado, USA
Ulrich Foelsche
Institute for Geophysics, Astrophysics, and Meteorology/Institute of Physics,
University of Graz, Graz, Austria
Wegener Center for Climate and Global Change (WEGC), University of
Graz, Graz, Austria
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Cited
23 citations as recorded by crossref.
- Evaluating temperature and humidity measurement biases in RS92 and RS41 radiosondes using radio occultation data F. Mashao et al.
- Consistency and Stability of SNPP ATMS Microwave Observations and COSMIC-2 Radio Occultation over Oceans X. Shao et al.
- Comparative analysis of COSMIC-2 near real-time temperature and humidity profiles using radiosonde and reanalysis data over Iran A. Sam-Khaniani et al.
- The impact of global warming on ENSO from the perspective of objective signals Z. Chen et al.
- Processing and Validation of the STAR COSMIC-2 Temperature and Water Vapor Profiles in the Neutral Atmosphere S. Ho et al.
- Evaluation of Tropospheric Moisture Characteristics Among COSMIC-2, ERA5 and MERRA-2 in the Tropics and Subtropics B. Johnston et al.
- Below‐cloud evaporation effect on stable water isotopes in precipitation at the eastern margin of Qinghai‐Tibet Plateau F. Chen et al.
- Diurnal variability of lower and middle atmospheric water vapour over the Asian summer monsoon region: first results from COSMIC-1 and TIMED-SABER measurements S. Das et al.
- Completeness of radiosonde humidity observations based on the Integrated Global Radiosonde Archive A. Ferreira et al.
- Comparison of COSMIC and COSMIC-2 Radio Occultation Refractivity and Bending Angle Uncertainties in August 2006 and 2021 R. Anthes et al.
- Assessment of the relative impact of the assimilation of Global Navigation Satellite System Radio Occultation (GNSS-RO) and Radiosonde data in the NCMRWF Global NWP system S. Purwar & S. Rani
- Evaluating two methods of estimating error variances using simulated data sets with known errors T. Rieckh & R. Anthes
- Significant Stratospheric Moistening Following Extreme El Niño Events Q. Chen et al.
- Assessments of the Retrieval of Atmospheric Profiles from GNSS Radio Occultation Data in Moist Tropospheric Conditions Using Radiosonde Data Y. Li et al.
- Retrieving tropospheric refractivity structure using interferometry of aircraft radio transmissions O. Lewis et al.
- A New Algorithm for the Retrieval of Atmospheric Profiles from GNSS Radio Occultation Data in Moist Air and Comparison to 1DVar Retrievals Y. Li et al.
- Estimating observation and model error variances using multiple data sets R. Anthes & T. Rieckh
- The potential of observing atmospheric rivers with Global Navigation Satellite System (GNSS) radio occultation B. Rahimi & U. Foelsche
- Sensitivity of Forward-Modeled Bending Angles to Vertical Interpolation of Refractivity for Radio Occultation Data Assimilation S. Gilpin et al.
- Tropical cyclones vertical structure from GNSS radio occultation: an archive covering the period 2001–2018 E. Lasota et al.
- Characterization of the long-term changes in moisture, clouds and precipitation in the ascending and descending branches of the Hadley Circulation S. Mathew & K. Kumar
- Comprehensive Evaluation and Comparison of AIRS, VASS, and VIRR Water Vapor Products Over Antarctica R. Fan et al.
- A comparison of temperature and relative humidity measurements derived from COSMIC-2 radio occultations with radiosonde observations made over the Asian summer monsoon region V. Veenus et al.
23 citations as recorded by crossref.
- Evaluating temperature and humidity measurement biases in RS92 and RS41 radiosondes using radio occultation data F. Mashao et al.
- Consistency and Stability of SNPP ATMS Microwave Observations and COSMIC-2 Radio Occultation over Oceans X. Shao et al.
- Comparative analysis of COSMIC-2 near real-time temperature and humidity profiles using radiosonde and reanalysis data over Iran A. Sam-Khaniani et al.
- The impact of global warming on ENSO from the perspective of objective signals Z. Chen et al.
- Processing and Validation of the STAR COSMIC-2 Temperature and Water Vapor Profiles in the Neutral Atmosphere S. Ho et al.
- Evaluation of Tropospheric Moisture Characteristics Among COSMIC-2, ERA5 and MERRA-2 in the Tropics and Subtropics B. Johnston et al.
- Below‐cloud evaporation effect on stable water isotopes in precipitation at the eastern margin of Qinghai‐Tibet Plateau F. Chen et al.
- Diurnal variability of lower and middle atmospheric water vapour over the Asian summer monsoon region: first results from COSMIC-1 and TIMED-SABER measurements S. Das et al.
- Completeness of radiosonde humidity observations based on the Integrated Global Radiosonde Archive A. Ferreira et al.
- Comparison of COSMIC and COSMIC-2 Radio Occultation Refractivity and Bending Angle Uncertainties in August 2006 and 2021 R. Anthes et al.
- Assessment of the relative impact of the assimilation of Global Navigation Satellite System Radio Occultation (GNSS-RO) and Radiosonde data in the NCMRWF Global NWP system S. Purwar & S. Rani
- Evaluating two methods of estimating error variances using simulated data sets with known errors T. Rieckh & R. Anthes
- Significant Stratospheric Moistening Following Extreme El Niño Events Q. Chen et al.
- Assessments of the Retrieval of Atmospheric Profiles from GNSS Radio Occultation Data in Moist Tropospheric Conditions Using Radiosonde Data Y. Li et al.
- Retrieving tropospheric refractivity structure using interferometry of aircraft radio transmissions O. Lewis et al.
- A New Algorithm for the Retrieval of Atmospheric Profiles from GNSS Radio Occultation Data in Moist Air and Comparison to 1DVar Retrievals Y. Li et al.
- Estimating observation and model error variances using multiple data sets R. Anthes & T. Rieckh
- The potential of observing atmospheric rivers with Global Navigation Satellite System (GNSS) radio occultation B. Rahimi & U. Foelsche
- Sensitivity of Forward-Modeled Bending Angles to Vertical Interpolation of Refractivity for Radio Occultation Data Assimilation S. Gilpin et al.
- Tropical cyclones vertical structure from GNSS radio occultation: an archive covering the period 2001–2018 E. Lasota et al.
- Characterization of the long-term changes in moisture, clouds and precipitation in the ascending and descending branches of the Hadley Circulation S. Mathew & K. Kumar
- Comprehensive Evaluation and Comparison of AIRS, VASS, and VIRR Water Vapor Products Over Antarctica R. Fan et al.
- A comparison of temperature and relative humidity measurements derived from COSMIC-2 radio occultations with radiosonde observations made over the Asian summer monsoon region V. Veenus et al.
Saved (final revised paper)
Latest update: 16 May 2026
Short summary
Water vapor is the most important tropospheric greenhouse gas and is also highly variable in space and time. We study the vertical structure and variability of tropospheric humidity using various observing techniques (GPS radio occultation, radiosondes, Atmospheric Infrared Sounder) and models. Time–height cross sections reveal seasonal biases for different pressure layers. We find that radio occultation humidity has high accuracy and can contribute valuable information in data assimilation.
Water vapor is the most important tropospheric greenhouse gas and is also highly variable in...
