Articles | Volume 25, issue 6
https://doi.org/10.5194/acp-25-3567-2025
https://doi.org/10.5194/acp-25-3567-2025
Measurement report
 | 
26 Mar 2025
Measurement report |  | 26 Mar 2025

Measurement report: Can zenith wet delay from GNSS “see” atmospheric turbulence? Insights from case studies across diverse climate zones

Gaël Kermarrec, Xavier Calbet, Zhiguo Deng, and Cintia Carbajal Henken

Related authors

Optimal Estimation Retrieval Framework for Daytime Clear-Sky Total Column Water Vapour from MTG-FCI Near-Infrared Measurements
Jan El Kassar, Cintia Carbajal Henken, Xavier Calbet, Pilar Rípodas, Rene Preusker, and Jürgen Fischer
EGUsphere, https://doi.org/10.5194/egusphere-2024-3605,https://doi.org/10.5194/egusphere-2024-3605, 2024
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary
Evaluation of total column water vapour products from satellite observations and reanalyses within the GEWEX Water Vapor Assessment
Tim Trent, Marc Schröder, Shu-Peng Ho, Steffen Beirle, Ralf Bennartz, Eva Borbas, Christian Borger, Helene Brogniez, Xavier Calbet, Elisa Castelli, Gilbert P. Compo, Wesley Ebisuzaki, Ulrike Falk, Frank Fell, John Forsythe, Hans Hersbach, Misako Kachi, Shinya Kobayashi, Robert E. Kursinski, Diego Loyola, Zhengzao Luo, Johannes K. Nielsen, Enzo Papandrea, Laurence Picon, Rene Preusker, Anthony Reale, Lei Shi, Laura Slivinski, Joao Teixeira, Tom Vonder Haar, and Thomas Wagner
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
Horizontal small-scale variability of water vapor in the atmosphere: implications for intercomparison of data from different measuring systems
Xavier Calbet, Cintia Carbajal Henken, Sergio DeSouza-Machado, Bomin Sun, and Tony Reale
Atmos. Meas. Tech., 15, 7105–7118, https://doi.org/10.5194/amt-15-7105-2022,https://doi.org/10.5194/amt-15-7105-2022, 2022
Short summary
Use of automatic radiosonde launchers to measure temperature and humidity profiles from the GRUAN perspective
Fabio Madonna, Rigel Kivi, Jean-Charles Dupont, Bruce Ingleby, Masatomo Fujiwara, Gonzague Romanens, Miguel Hernandez, Xavier Calbet, Marco Rosoldi, Aldo Giunta, Tomi Karppinen, Masami Iwabuchi, Shunsuke Hoshino, Christoph von Rohden, and Peter William Thorne
Atmos. Meas. Tech., 13, 3621–3649, https://doi.org/10.5194/amt-13-3621-2020,https://doi.org/10.5194/amt-13-3621-2020, 2020
Short summary
Detection and attribution of aerosol–cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model
Montserrat Costa-Surós, Odran Sourdeval, Claudia Acquistapace, Holger Baars, Cintia Carbajal Henken, Christa Genz, Jonas Hesemann, Cristofer Jimenez, Marcel König, Jan Kretzschmar, Nils Madenach, Catrin I. Meyer, Roland Schrödner, Patric Seifert, Fabian Senf, Matthias Brueck, Guido Cioni, Jan Frederik Engels, Kerstin Fieg, Ksenia Gorges, Rieke Heinze, Pavan Kumar Siligam, Ulrike Burkhardt, Susanne Crewell, Corinna Hoose, Axel Seifert, Ina Tegen, and Johannes Quaas
Atmos. Chem. Phys., 20, 5657–5678, https://doi.org/10.5194/acp-20-5657-2020,https://doi.org/10.5194/acp-20-5657-2020, 2020
Short summary

Related subject area

Subject: Climate and Earth System | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Too cold, too saturated? Evaluating climate models at the gateway to the Arctic
Felix Pithan, Ann Kristin Naumann, and Marion Maturilli
Atmos. Chem. Phys., 25, 3269–3285, https://doi.org/10.5194/acp-25-3269-2025,https://doi.org/10.5194/acp-25-3269-2025, 2025
Short summary
Modelled surface climate response to effusive Icelandic volcanic eruptions: sensitivity to season and size
Tómas Zoëga, Trude Storelvmo, and Kirstin Krüger
Atmos. Chem. Phys., 25, 2989–3010, https://doi.org/10.5194/acp-25-2989-2025,https://doi.org/10.5194/acp-25-2989-2025, 2025
Short summary
Contrasting the roles of regional anthropogenic aerosols from the western and eastern hemispheres in driving the 1980–2020 Pacific multi-decadal variations
Chenrui Diao, Yangyang Xu, Aixue Hu, and Zhili Wang
Atmos. Chem. Phys., 25, 2167–2180, https://doi.org/10.5194/acp-25-2167-2025,https://doi.org/10.5194/acp-25-2167-2025, 2025
Short summary
A new method for diagnosing effective radiative forcing from aerosol–cloud interactions in climate models
Brandon M. Duran, Casey J. Wall, Nicholas J. Lutsko, Takuro Michibata, Po-Lun Ma, Yi Qin, Margaret L. Duffy, Brian Medeiros, and Matvey Debolskiy
Atmos. Chem. Phys., 25, 2123–2146, https://doi.org/10.5194/acp-25-2123-2025,https://doi.org/10.5194/acp-25-2123-2025, 2025
Short summary
Climate variability can outweigh the influence of climate mean changes for extreme precipitation under global warming
Kalle Nordling, Nora L. S. Fahrenbach, and Bjørn H. Samset
Atmos. Chem. Phys., 25, 1659–1684, https://doi.org/10.5194/acp-25-1659-2025,https://doi.org/10.5194/acp-25-1659-2025, 2025
Short summary

Cited articles

Banville, S. and Langley, R. B.: Monitoring the Ionosphere Using Integer-Leveled GLONASS Measurements, in: Proceedings of the 28th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2015), 4–18 September 2015, Tampa, Florida, pp. 3578–3588, 2015. a
Basu, S. and Holtslag, A.: Revisiting and revising Tatarskii's formulation for the temperature structure parameter (χT) in atmospheric flows, Environ. Fluid Mech., 22, 1107–1119, https://doi.org/10.1007/s10652-022-09880-3, 2022. a
Bevis, M., Businger, S., Herring, T. A., Rocken, C., Anthes, R. A., and Ware, R. H.: GPS Meteorology: Remote Sensing of Atmospheric Water Vapor Using the Global Positioning System, J. Geophys. Res., 97, 15787–15801, 1992. a, b, c, d
Boehm, J., Werl, B., and Schuh, H.: Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium-Range Weather Forecasts operational analysis data, J. Geophys. Res., 111, https://doi.org/10.1029/2005JB003629, 2006. a
Calbet, X., Peinado-Galan, N., DeSouza-Machado, S., Kursinski, E. R., Oria, P., Ward, D., Otarola, A., Rípodas, P., and Kivi, R.: Can turbulence within the field of view cause significant biases in radiative transfer modeling at the 183 GHz band?, Atmos. Meas. Tech., 11, 6409–6417, https://doi.org/10.5194/amt-11-6409-2018, 2018. a
Download
Short summary

Atmospheric delays affect global navigation satellite system (GNSS) signals. This study analyses the wet delay, a variable component caused by atmospheric water vapor, using a novel filtering method to examine small-scale turbulent variations. Case studies at five global stations revealed daily and seasonal turbulence patterns. This research will improve water vapour and cloud models, enhance nowcasting, and refine stochastic modelling for GNSS and very long baseline interferometry.

Share
Altmetrics
Final-revised paper
Preprint