Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
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Articles | Volume 15, issue 20
Articles | Volume 15, issue 20
https://doi.org/10.5194/amt-15-6243-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-15-6243-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 20
Research article
 | 
28 Oct 2022
Research article |  | 28 Oct 2022

Estimation of refractivity uncertainties and vertical error correlations in collocated radio occultations, radiosondes, and model forecasts

Johannes K. Nielsen, Hans Gleisner, Stig Syndergaard, and Kent B. Lauritsen

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Comparison of water vapour products retrieved from Metop-A by Radio Occultation, Infrared and Microwave systems
Vinícius Ludwig-Barbosa, Johannes Kristoffer Nielsen, Kent Bækgaard Lauritsen, Brian Kerridge, Richard Siddans, and Tim Trent
EGUsphere, https://doi.org/10.5194/egusphere-2025-5578,https://doi.org/10.5194/egusphere-2025-5578, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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Evaluation of total column water vapour products from satellite observations and reanalyses within the GEWEX Water Vapor Assessment
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Atmos. Chem. Phys., 24, 9667–9695, https://doi.org/10.5194/acp-24-9667-2024,https://doi.org/10.5194/acp-24-9667-2024, 2024
Short summary

Cited articles

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Bormann, N., Bonavita, M., Dragani, R., Eresmaa, R., Matricardi, M., and McNally, A.: Enhancing the Impact of IASI Observations through an Updated Observation-Error Covariance Matrix, Q. J. Roy. Meteor. Soc., 142, 1767–1780, https://doi.org/10.1002/qj.2774, 2016. a, b
Desroziers, G., Berre, L., Chapnik, B., and Poli, P.: Diagnosis of Observation, Background and Analysis-Error Statistics in Observation Space, Q. J. Roy. Meteor. Soc., 131, 3385–3396, https://doi.org/10.1256/qj.05.108, 2005. a
Dirksen, R. J., Sommer, M., Immler, F. J., Hurst, D. F., Kivi, R., and Vömel, H.: Reference quality upper-air measurements: GRUAN data processing for the Vaisala RS92 radiosonde, Atmos. Meas. Tech., 7, 4463–4490, https://doi.org/10.5194/amt-7-4463-2014, 2014. a, b
Gleisner, H., Lauritsen, K. B., Nielsen, J. K., and Syndergaard, S.: Evaluation of the 15-year ROM SAF monthly mean GPS radio occultation climate data record, Atmos. Meas. Tech., 13, 3081–3098, https://doi.org/10.5194/amt-13-3081-2020, 2020. a, b
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This paper provides a new way to estimate uncertainties and error correlations. The method is a generalization of a known method called the three-cornered hat: Instead of calculating uncertainties from assumed knowledge about the observation method, uncertainties and error correlations are estimated statistically from tree independent observation series, measuring the same variable. The results are useful for future estimation of atmospheric-specific humidity from the bending of radio waves.
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Analysis of atmospheric water vapour observations and their...