Articles | Volume 13, issue 11
https://doi.org/10.5194/acp-13-5425-2013
© Author(s) 2013. 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-13-5425-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| Highlight paper
| 
03 Jun 2013
Research article | Highlight paper |
| 03 Jun 2013
Preliminary signs of the initiation of deep convection by GNSS
H. Brenot
Belgian Institute for Space Aeronomie, Avenue Circulaire 3 1180 Brussels, Belgium
J. Neméghaire
Royal Meteorological Institute of Belgium, Avenue Circulaire 3 1180 Brussels, Belgium
L. Delobbe
Royal Meteorological Institute of Belgium, Avenue Circulaire 3 1180 Brussels, Belgium
N. Clerbaux
Royal Meteorological Institute of Belgium, Avenue Circulaire 3 1180 Brussels, Belgium
P. De Meutter
Royal Meteorological Institute of Belgium, Avenue Circulaire 3 1180 Brussels, Belgium
Astronomical Observatory, University of Gent, Krijgslaan 281 S9 9000 Gent, Belgium
A. Deckmyn
Royal Meteorological Institute of Belgium, Avenue Circulaire 3 1180 Brussels, Belgium
A. Delcloo
Royal Meteorological Institute of Belgium, Avenue Circulaire 3 1180 Brussels, Belgium
L. Frappez
Royal Meteorological Institute of Belgium, Avenue Circulaire 3 1180 Brussels, Belgium
M. Van Roozendael
Belgian Institute for Space Aeronomie, Avenue Circulaire 3 1180 Brussels, Belgium
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41 citations as recorded by crossref.
- Sensitivity of GNSS tropospheric gradients to processing options M. Kačmařík et al. 10.5194/angeo-37-429-2019
- Densification of the Ground-Based GNSS Observation Network in the Southwest Indian Ocean: Current Status, Perspectives, and Examples of Applications in Meteorology and Geodesy O. Bousquet et al. 10.3389/feart.2020.566105
- A Model for the Relationship between Rainfall, GNSS-Derived Integrated Water Vapour, and CAPE in the Eastern Central Andes M. Ramezani Ziarani et al. 10.3390/rs13183788
- A GPS network for tropospheric tomography in the framework of the Mediterranean hydrometeorological observatory Cévennes-Vivarais (southeastern France) H. Brenot et al. 10.5194/amt-7-553-2014
- Ground-based GNSS network and integrated water vapor mapping during the development of severe storms at the Cuyo region (Argentina) A. Calori et al. 10.1016/j.atmosres.2016.03.002
- Development of an Improved Model for Prediction of Short-Term Heavy Precipitation Based on GNSS-Derived PWV H. Li et al. 10.3390/rs12244101
- On the information content in linear horizontal delay gradients estimated from space geodesy observations G. Elgered et al. 10.5194/amt-12-3805-2019
- Analysis of GNSS sensed precipitable water vapour and tropospheric gradients during the derecho event in Poland of 11th August 2017 G. Nykiel et al. 10.1016/j.jastp.2019.105082
- Rainfall Forecasting Using GPS-Derived Atmospheric Gradient and Residual for Tropical Region A. Naha Biswas et al. 10.1109/TGRS.2021.3131217
- Thunderstorm Classification Functions Based on Instability Indices and GNSS IWV for the Sofia Plain G. Guerova et al. 10.3390/rs11242988
- Multiscale Spatiotemporal Variations of GNSS-Derived Precipitable Water Vapor over Yunnan M. Wang et al. 10.3390/rs16020412
- Machine Learning-Based Wet Refractivity Prediction Through GNSS Troposphere Tomography for Ensemble Troposphere Conditions Forecasting S. Haji-Aghajany et al. 10.1109/TGRS.2024.3417487
- Tropospheric parameters from multi-GNSS and numerical weather models: case study of severe precipitation and flooding in Germany in July 2021 K. Wilgan et al. 10.1007/s10291-022-01379-0
- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.1
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- On the quality of tropospheric estimates from low-cost GNSS receiver data processing K. Stępniak & J. Paziewski 10.1016/j.measurement.2022.111350
- Preliminary result of capturing the signature of heavy rainfall events using the 2-d-/4-d water vapour information derived from GNSS measurement in Hong Kong Q. Zhao et al. 10.1016/j.asr.2020.06.013
- Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4.1 R. Thundathil et al. 10.5194/gmd-17-3599-2024
- Constructing a precipitable water vapor map from regional GNSS network observations without collocated meteorological data for weather forecasting B. Chen et al. 10.5194/amt-11-5153-2018
- A Refined Zenith Tropospheric Delay Model Based on a Generalized Regression Neural Network and the GPT3 Model in Europe M. Wei et al. 10.3390/atmos14121727
- Radio occultation and ground-based GNSS products for observing, understanding and predicting extreme events: A review S. Bonafoni et al. 10.1016/j.atmosres.2019.104624
- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.2
- Seasonal and annual variations of the GPS-based precipitable water vapor over Sumatra, Indonesia D. Wijaya et al. 10.1016/j.atmosres.2022.106216
- Detecting Water Vapor Variability during Heavy Precipitation Events in Hong Kong Using the GPS Tomographic Technique B. Chen et al. 10.1175/JTECH-D-16-0115.1
- Machine learning-based prediction of Alpine foehn events using GNSS troposphere products: first results for Altdorf, Switzerland M. Aichinger-Rosenberger et al. 10.5194/amt-15-5821-2022
- Review of the state of the art and future prospects of the ground-based GNSS meteorology in Europe G. Guerova et al. 10.5194/amt-9-5385-2016
- Combined Space- and Ground-Based GNSS Monitoring of Two Severe Hailstorm Cases in Bulgaria E. Lasota et al. 10.1175/JTECH-D-21-0100.1
- Fast Observation Operator for Global Navigation Satellite System Tropospheric Gradients F. Zus et al. 10.3390/rs15215114
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- Improving GNSS Zenith Wet Delay Interpolation by Utilizing Tropospheric Gradients: Experiments with a Dense Station Network in Central Europe in the Warm Season F. Zus et al. 10.3390/rs11060674
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- Validity and behaviour of tropospheric gradients estimated by GPS in Corsica L. Morel et al. 10.1016/j.asr.2014.10.004
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