Articles | Volume 13, issue 5
https://doi.org/10.5194/essd-13-2407-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-2407-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
28 May 2021
Data description paper |
| 28 May 2021
| 28 May 2021
Integrated water vapour observations in the Caribbean arc from a network of ground-based GNSS receivers during EUREC4A
Université de Paris, Institut de physique du globe de Paris, CNRS, IGN, 75005 Paris, France
ENSG-Géomatique, IGN, 77455 Marne-la-Vallée, France
Pierre Bosser
Lab-STICC UMR 6285 CNRS/PRASYS, ENSTA Bretagne/HOP, 29200 Brest, France
Cyrille Flamant
LATMOS/IPSL, UMR 8190 CNRS-SU-UVSQ, Paris, France
Erik Doerflinger
Géosiences Montpellier UMR 5243, Université Montpellier – CNRS, Montpellier, France
Friedhelm Jansen
Max-Planck-Institut für Meteorologie, Hamburg, Germany
Romain Fages
IGN, Saint-Mandé, France
Sandrine Bony
LMD/IPSL, UMR 8539 CNRS, Sorbonne Université, Paris, France
Sabrina Schnitt
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
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Cited
16 citations as recorded by crossref.
- An improved vertical correction method for the inter-comparison and inter-validation of integrated water vapour measurements O. Bock et al. 10.5194/amt-15-5643-2022
- Dynamical study of three African Easterly Waves in September 2021 T. Jonville et al. 10.1002/qj.4720
- An enhanced integrated water vapour dataset from more than 10 000 global ground-based GPS stations in 2020 P. Yuan et al. 10.5194/essd-15-723-2023
- Sensitivity of Change-Point Detection and Trend Estimates to GNSS IWV Time Series Properties K. Nguyen et al. 10.3390/atmos12091102
- On the quality of tropospheric estimates from low-cost GNSS receiver data processing K. Stępniak & J. Paziewski 10.1016/j.measurement.2022.111350
- Sensitivity of Shipborne GNSS Estimates to Processing Modeling Based on Simulated Dataset A. Panetier et al. 10.3390/s23146605
- Process‐oriented evaluation of the oversea AROME configuration: Focus on the representation of cloud organisation F. Beucher et al. 10.1002/qj.4354
- Comparison of CIMEL sun-photometer and ground-based GNSS integrated water vapor over south-western European sites J. Vaquero-Martínez et al. 10.1016/j.atmosres.2022.106217
- Analysis of the Precipitable Water Vapor Observation in Yunnan–Guizhou Plateau during the Convective Weather System in Summer H. Hu et al. 10.3390/atmos12081085
- Routine Measurement of Water Vapour Using GNSS in the Framework of the Map-Io Project P. Bosser et al. 10.3390/atmos13060903
- Ground- and ship-based microwave radiometer measurements during EUREC4A S. Schnitt et al. 10.5194/essd-16-681-2024
- Observed Subcloud-Layer Moisture and Heat Budgets in the Trades A. Albright et al. 10.1175/JAS-D-21-0337.1
- The Novel Copernicus Global Dataset of Atmospheric Total Water Vapour Content with Related Uncertainties from GNSS Observations K. Rannat et al. 10.3390/rs15215150
- Lagrangian formation pathways of moist anomalies in the trade-wind region during the dry season: two case studies from EUREC<sup>4</sup>A L. Villiger et al. 10.5194/wcd-3-59-2022
- A statistical method for the attribution of change‐points in segmented Integrated Water Vapor difference time series K. Nguyen et al. 10.1002/joc.8441
- Integrated water vapour content retrievals from ship-borne GNSS receivers during EUREC<sup>4</sup>A P. Bosser et al. 10.5194/essd-13-1499-2021
15 citations as recorded by crossref.
- An improved vertical correction method for the inter-comparison and inter-validation of integrated water vapour measurements O. Bock et al. 10.5194/amt-15-5643-2022
- Dynamical study of three African Easterly Waves in September 2021 T. Jonville et al. 10.1002/qj.4720
- An enhanced integrated water vapour dataset from more than 10 000 global ground-based GPS stations in 2020 P. Yuan et al. 10.5194/essd-15-723-2023
- Sensitivity of Change-Point Detection and Trend Estimates to GNSS IWV Time Series Properties K. Nguyen et al. 10.3390/atmos12091102
- On the quality of tropospheric estimates from low-cost GNSS receiver data processing K. Stępniak & J. Paziewski 10.1016/j.measurement.2022.111350
- Sensitivity of Shipborne GNSS Estimates to Processing Modeling Based on Simulated Dataset A. Panetier et al. 10.3390/s23146605
- Process‐oriented evaluation of the oversea AROME configuration: Focus on the representation of cloud organisation F. Beucher et al. 10.1002/qj.4354
- Comparison of CIMEL sun-photometer and ground-based GNSS integrated water vapor over south-western European sites J. Vaquero-Martínez et al. 10.1016/j.atmosres.2022.106217
- Analysis of the Precipitable Water Vapor Observation in Yunnan–Guizhou Plateau during the Convective Weather System in Summer H. Hu et al. 10.3390/atmos12081085
- Routine Measurement of Water Vapour Using GNSS in the Framework of the Map-Io Project P. Bosser et al. 10.3390/atmos13060903
- Ground- and ship-based microwave radiometer measurements during EUREC4A S. Schnitt et al. 10.5194/essd-16-681-2024
- Observed Subcloud-Layer Moisture and Heat Budgets in the Trades A. Albright et al. 10.1175/JAS-D-21-0337.1
- The Novel Copernicus Global Dataset of Atmospheric Total Water Vapour Content with Related Uncertainties from GNSS Observations K. Rannat et al. 10.3390/rs15215150
- Lagrangian formation pathways of moist anomalies in the trade-wind region during the dry season: two case studies from EUREC<sup>4</sup>A L. Villiger et al. 10.5194/wcd-3-59-2022
- A statistical method for the attribution of change‐points in segmented Integrated Water Vapor difference time series K. Nguyen et al. 10.1002/joc.8441
Latest update: 25 Apr 2024
Short summary
Measurements from a network of Global Navigation Satellite System (GNSS) receivers operated from the eastern Caribbean islands are used to monitor the total water vapour content in the atmosphere during the EUREC4A field campaign. These data help describe the moisture environment of mesoscale cloud patterns in the trade winds with high temporal sampling. They are also useful to assess the accuracy of collocated radiosonde measurements and numerical weather model reanalyses.
Measurements from a network of Global Navigation Satellite System (GNSS) receivers operated from...
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