Articles | Volume 15, issue 12
https://doi.org/10.5194/nhess-15-2605-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-15-2605-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
On the inclusion of GPS precipitable water vapour in the nowcasting of rainfall
P. Benevides
CORRESPONDING AUTHOR
Instituto Dom Luiz (IDL), Faculdade de Ciências, University of Lisbon, Lisbon, Portugal
J. Catalao
Instituto Dom Luiz (IDL), Faculdade de Ciências, University of Lisbon, Lisbon, Portugal
P. M. A. Miranda
Instituto Dom Luiz (IDL), Faculdade de Ciências, University of Lisbon, Lisbon, Portugal
Viewed
Total article views: 3,697 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jun 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,669 | 1,882 | 146 | 3,697 | 127 | 131 |
- HTML: 1,669
- PDF: 1,882
- XML: 146
- Total: 3,697
- BibTeX: 127
- EndNote: 131
Total article views: 3,151 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Dec 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,436 | 1,595 | 120 | 3,151 | 116 | 121 |
- HTML: 1,436
- PDF: 1,595
- XML: 120
- Total: 3,151
- BibTeX: 116
- EndNote: 121
Total article views: 546 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jun 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
233 | 287 | 26 | 546 | 11 | 10 |
- HTML: 233
- PDF: 287
- XML: 26
- Total: 546
- BibTeX: 11
- EndNote: 10
Cited
109 citations as recorded by crossref.
- A Combined Model to Predict GNSS Precipitable Water Vapor Based on Deep Learning M. Shangguan et al. 10.1109/JSTARS.2023.3278381
- A Lightning Nowcasting Model Using GNSS PWV and Multisource Data W. Yin et al. 10.1109/TGRS.2024.3487774
- Neural Network-Based Models for Estimating Weighted Mean Temperature in China and Adjacent Areas F. Long et al. 10.3390/atmos12020169
- Water vapor monitoring with IGS RTS and GPT3/VMF3 functions over Turkey E. Tunalı 10.1016/j.asr.2021.12.036
- A novel rainfall forecast model using GNSS observations and CAPE Z. Liu et al. 10.1016/j.jastp.2023.106158
- Real-Time GNSS-Derived PWV for Typhoon Characterizations: A Case Study for Super Typhoon Mangkhut in Hong Kong Q. He et al. 10.3390/rs12010104
- The Sensitivityof GPS Precipitable Water Vapor Jumps to Intense Precipitation Associated with Tropical Organized Convective Systems T. Campos et al. 10.3390/atmos14020262
- Comparison of shipborne GNSS-derived precipitable water vapor with radiosonde in the western North Pacific and in the seas adjacent to Japan Y. Shoji et al. 10.1186/s40623-017-0740-1
- A Simplified Model for the Retrieval of Precipitable Water Vapor From GPS Signal S. Manandhar et al. 10.1109/TGRS.2017.2723625
- Nowcasting of Storms Using Predicted Integrated Water Vapor With a Machine Learning Technique and Satellite Brightness Temperature D. Bisht et al. 10.1109/TGRS.2024.3429525
- Analysis and Comparison of GPS Precipitable Water Estimates between Two Nearby Stations on Tahiti Island F. Zhang et al. 10.3390/s19245578
- A method for predicting short‐time changes in fine particulate matter (PM2.5) mass concentration based on the global navigation satellite system zenith tropospheric delay M. Guo et al. 10.1002/met.1866
- 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
- Rainfall forecast based on GPS PWV together with meteorological parameters using neural network models A. Khaniani et al. 10.1016/j.jastp.2020.105533
- Understanding the Present-Day Spatiotemporal Variability of Precipitable Water Vapor over Ethiopia: A Comparative Study between ERA5 and GPS A. Koji et al. 10.3390/rs14030686
- Internetworking flood disaster mitigation system based on remote sensing and mobile GIS S. Puttinaovarat & P. Horkaew 10.1080/19475705.2020.1815869
- 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
- Statistical Analysis of Atmospheric Delay Gradient and Rainfall Prediction in a Tropical Region A. Naha Biswas et al. 10.3390/rs16224165
- Global Positioning System precipitable water vapour (GPS‐PWV) jumps before intense rain events: A potential application to nowcasting L. Sapucci et al. 10.1002/met.1735
- Reconstruction of narrowband solar radiation for enhanced spectral selectivity in building-integrated solar energy simulations C. Chen et al. 10.1016/j.renene.2023.119554
- Establishing a method of short-term rainfall forecasting based on GNSS-derived PWV and its application Y. Yao et al. 10.1038/s41598-017-12593-z
- An Improved Model for Detecting Heavy Precipitation Using GNSS-Derived Zenith Total Delay Measurements H. Li et al. 10.1109/JSTARS.2021.3079699
- GNSS-Based Machine Learning Storm Nowcasting M. Łoś et al. 10.3390/rs12162536
- Atmospheric Water Vapor Variability over Houston: Continuous GNSS Tomography in the Year of Hurricane Harvey (2017) P. Mateus et al. 10.3390/rs16173205
- Optimization of GPS water vapor tomography technique with radiosonde and COSMIC historical data S. Ye et al. 10.5194/angeo-34-789-2016
- A neural network-based approach for the detection of heavy precipitation using GNSS observations and surface meteorological data H. Li et al. 10.1016/j.jastp.2021.105763
- Towards operational multi-GNSS tropospheric products at GFZ Potsdam K. Wilgan et al. 10.5194/amt-15-21-2022
- Analysis of GNSS-Derived Tropospheric Zenith Non-Hydrostatic Delay Anomaly during Sandstorms in Northern China on 15th March 2021 M. Zhou et al. 10.3390/rs14184678
- Influence of station density and multi-constellation GNSS observations on troposphere tomography Q. Zhao et al. 10.5194/angeo-37-15-2019
- Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach P. Ruttner et al. 10.3390/rs14010017
- 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
- Forecasting rainfall events based on zenith wet delay time series utilizing eXtreme gradient boosting (XGBoost) M. Dehvari et al. 10.1016/j.asr.2024.11.013
- Annual, seasonal, monthly & diurnal IPWV analysis and precipitation forecasting over the Indian subcontinent based on monthly thresholds of ground-based GNSS-IPWV R. Yadav et al. 10.1016/j.asr.2022.07.066
- A New Cumulative Anomaly-Based Model for the Detection of Heavy Precipitation Using GNSS-Derived Tropospheric Products H. Li et al. 10.1109/TGRS.2021.3137014
- Comparison of the Integral Water Vapor Content of the Atmosphere by Data of the Global Forecast System (GFS) and GNSS Observations (Primorski Krai, Russia) A. Kishkina et al. 10.1134/S0097807822060069
- An Improved Method for Rainfall Forecast Based on GNSS-PWV L. Li et al. 10.3390/rs14174280
- An improved atmospheric weighted mean temperature model and its impact on GNSS precipitable water vapor estimates for China L. Huang et al. 10.1007/s10291-019-0843-1
- GPS Precipitable Water Vapor Estimations over Costa Rica: A Comparison against Atmospheric Sounding and Moderate Resolution Imaging Spectrometer (MODIS) P. Campos-Arias et al. 10.3390/cli7050063
- Seasonal Multifactor Modelling of Weighted-Mean Temperature for Ground-Based GNSS Meteorology in Hunan, China L. Li et al. 10.1155/2017/3782687
- An Improved Rainfall Forecasting Model Based on GNSS Observations Q. Zhao et al. 10.1109/TGRS.2020.2968124
- Atmospheric Effects and Precursors of Rainfall over the Swiss Plateau W. Wang & K. Hocke 10.3390/rs14122938
- Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors P. Benevides et al. 10.3390/rs11080966
- Revealing the synergistic contribution of PWV and CAPE to extreme precipitation throughout China Y. Liu et al. 10.1016/j.asr.2024.11.050
- Real-Time Rainfall Nowcast Model by Combining CAPE and GNSS Observations Y. Liu et al. 10.1109/TGRS.2022.3206459
- Improving the Accuracy and Spatial Resolution of ERA5 Precipitable Water Vapor Using InSAR Data P. Mateus et al. 10.1109/LGRS.2024.3379249
- Stratified rainfall forecast method using GNSS observations Y. Liu et al. 10.1016/j.atmosres.2022.106421
- Accuracy Analysis of Real-Time Precise Point Positioning—Estimated Precipitable Water Vapor under Different Meteorological Conditions: A Case Study in Hong Kong Y. Xu et al. 10.3390/atmos14040650
- Characterizing extreme drought and wetness in Guangdong, China using global navigation satellite system and precipitation data H. Zhu et al. 10.1186/s43020-023-00121-6
- Hourly Rainfall Forecast Model Using Supervised Learning Algorithm Q. Zhao et al. 10.1109/TGRS.2021.3054582
- Exploration and analysis of the factors influencing GNSS PWV for nowcasting applications M. Guo et al. 10.1016/j.asr.2021.02.018
- A precipitation forecast model with a neural network and improved GPT3 model for Japan S. Li et al. 10.1007/s10291-023-01526-1
- Optimizing Boundary Conditions in GNSS Tomography: A Continuous 7‐Month Case Study in the Amazon P. Miranda et al. 10.1029/2023GL105030
- Precipitable water vapor retrievals using a ground-based infrared sky camera in subtropical South America E. Hack et al. 10.5194/amt-16-1263-2023
- A New Unconstrained Approach to GNSS Atmospheric Water Vapor Tomography P. Miranda & P. Mateus 10.1029/2021GL094852
- The possibility of rainfall nowcasting using atmospheric electric field J. Wu et al. 10.1016/j.atmosres.2023.107118
- A Tropospheric Tomography Method with a Novel Height Factor Model Including Two Parts: Isotropic and Anisotropic Height Factors W. Zhang et al. 10.3390/rs12111848
- GPS-PWV Based Improved Long-Term Rainfall Prediction Algorithm for Tropical Regions S. Manandhar et al. 10.3390/rs11222643
- GNSS-derived PWV and meteorological data for short-term rainfall forecast based on support vector machine Y. Liu et al. 10.1016/j.asr.2022.05.057
- A Combined Linear–Nonlinear Short-Term Rainfall Forecast Method Using GNSS-Derived PWV Z. Ma et al. 10.3390/atmos13091381
- Correlation Analysis between Precipitation and Precipitable Water Vapor over China Based on 1999–2015 Ground-Based GPS Observations Z. Zhang et al. 10.1175/JAMC-D-21-0200.1
- Monitoring urban heat island intensity based on GNSS tomography technique P. Xia et al. 10.1007/s00190-023-01804-3
- GNSS Storm Nowcasting Demonstrator for Bulgaria G. Guerova et al. 10.3390/rs14153746
- Recent Advances in Real-Time Pluvial Flash Flood Forecasting A. Zanchetta & P. Coulibaly 10.3390/w12020570
- Global Navigation Satellite System-Based Retrieval of Precipitable Water Vapor and Its Relationship with Rainfall and Drought in Qinghai, China S. Zhang et al. 10.3390/atmos14030517
- Weighted Mean Temperature Modelling Using Regional Radiosonde Observations for the Yangtze River Delta Region in China L. Li et al. 10.3390/rs14081909
- Generation of real‐time mode high‐resolution water vapor fields from GPS observations C. Yu et al. 10.1002/2016JD025753
- A Data-Driven Approach for Accurate Rainfall Prediction S. Manandhar et al. 10.1109/TGRS.2019.2926110
- Short-term rainfall forecast model based on the improved BP–NN algorithm Y. Liu et al. 10.1038/s41598-019-56452-5
- Retrieving Accurate Precipitable Water Vapor Based on GNSS Multi‐Antenna PPP With an Ocean‐Based Dynamic Experiment J. Wei et al. 10.1029/2023GL102982
- 4D wet refractivity estimation in the atmosphere using GNSS tomography initialized by radiosonde and AIRS measurements: results from a 1-week intensive campaign P. Benevides et al. 10.1007/s10291-018-0755-5
- Mapping Precipitable Water Vapor Time Series From Sentinel-1 Interferometric SAR P. Mateus et al. 10.1109/TGRS.2019.2946077
- Observations of subtropical weather by a prototype water vapour LiDAR at Hong Kong Observatory W. Yeung et al. 10.1002/wea.3663
- Studies on Heavy Precipitation in Portugal: A Systematic Review J. Cruz et al. 10.3390/cli12100163
- Spatial–Temporal Relationship Study between NWP PWV and Precipitation: A Case Study of ‘July 20’ Heavy Rainstorm in Zhengzhou Y. Xu et al. 10.3390/rs14153636
- On the Impact of GPS Multipath Correction Maps and Post-Fit Residuals on Slant Wet Delays for Tracking Severe Weather Events A. Hunegnaw et al. 10.3390/atmos14020219
- Real-time precise point positioning-based zenith tropospheric delay for precipitation forecasting Q. Zhao et al. 10.1038/s41598-018-26299-3
- Characterizing the tropical cyclone Seroja using the Indonesian CORS network N. Putri et al. 10.1007/s11069-023-06181-w
- A systematic quantitative review on the performance of some of the recent short-term rainfall forecasting techniques S. Ashok & S. Pekkat 10.2166/wcc.2022.302
- Accuracy assessment of reanalysis datasets for GPS-PWV estimation using Indian IGS stations observations A. Srivastava 10.1080/10106049.2021.2022015
- Apparent Short-Period GNSS-ZTD Disturbance Correlated With Precipitation Events Y. Ma et al. 10.1109/LGRS.2022.3210116
- Short-Term Rainfall Forecasting by Combining BP-NN Algorithm and GNSS Technique for Landslide-Prone Areas Z. Li et al. 10.3390/atmos14081309
- Evaluation of atmospheric precipitable water vapour distribution and trend over India C. Tomar et al. 10.1007/s00704-024-05110-6
- The New Improved ZHD and Weighted Mean Temperature Models Based on GNSS and Radiosonde Data Using GPT3 and Fourier Function L. Li et al. 10.3390/atmos13101648
- A New Method for Determining an Optimal Diurnal Threshold of GNSS Precipitable Water Vapor for Precipitation Forecasting H. Li et al. 10.3390/rs13071390
- A Rainfall Forecast Model Based on GNSS Tropospheric Parameters and BP-NN Algorithm H. Fu et al. 10.3390/atmos13071045
- Thunderstorm Classification Functions Based on Instability Indices and GNSS IWV for the Sofia Plain G. Guerova et al. 10.3390/rs11242988
- Application of GPS PWV for rainfall detection using ERA5 datasets over the Indian IGS locations A. Srivastava 10.1007/s12040-024-02286-3
- Forecasting Convective Storms Trajectory and Intensity by Neural Networks N. Borghi et al. 10.3390/forecast6020018
- Analysis of meteorological variables in the Australasian region using ground- and space-based GPS techniques Y. Kuleshov et al. 10.1016/j.atmosres.2016.02.021
- Diurnal variability of atmospheric water vapour, precipitation and cloud top temperature across the global tropics derived from satellite observations and GNSS technique Z. Baldysz et al. 10.1007/s00382-023-07005-0
- Tropospheric Delay in the Neapolitan and Vesuvius Areas (Italy) by Means of a Dense GPS Array: A Contribution for Weather Forecasting and Climate Monitoring U. Riccardi et al. 10.3390/atmos12091225
- A novel method of retrieving potential ET in China X. Ma et al. 10.1016/j.jhydrol.2021.126271
- An improved tropospheric tomography method based on the dynamic node parametrized algorithm W. Zhang 10.13168/AGG.2020.0014
- A Novel Linear Rainfall Forecast Model Based on GNSS Observations and CAPE Z. Liu et al. 10.1109/TGRS.2024.3404649
- Impact of radar data assimilation on simulations of precipitable water with the Harmonie model: A case study over Cyprus S. Ivanov et al. 10.1016/j.atmosres.2021.105473
- GPS-Derived PWV for Rainfall Nowcasting in Tropical Region S. Manandhar et al. 10.1109/TGRS.2018.2839899
- The New PWV Conversion Models Based on GNSS and Meteorological Elements in the China Region L. Li et al. 10.3390/atmos13111810
- 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
- Automated rain fall prediction enabled by optimized convolutional neural network‐based feature formation with adaptive long short‐term memory framework A. K et al. 10.1002/cpe.6868
- Prediction of Integrated Water Vapor Using a Machine Learning Technique D. Bisht et al. 10.1109/LGRS.2022.3217094
- Rainfall Forecasting Using GPS-Derived Atmospheric Gradient and Residual for Tropical Region A. Naha Biswas et al. 10.1109/TGRS.2021.3131217
- Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological data C. Oikonomou et al. 10.5194/adgeo-45-363-2018
- Detecting heavy rainfall using anomaly-based percentile thresholds of predictors derived from GNSS-PWV H. Li et al. 10.1016/j.atmosres.2021.105912
- Development of an Improved Model for Prediction of Short-Term Heavy Precipitation Based on GNSS-Derived PWV H. Li et al. 10.3390/rs12244101
- Analysis of Galileo and GPS Integration for GNSS Tomography P. Benevides et al. 10.1109/TGRS.2016.2631449
- GPS-based PWV for precipitation forecasting and its application to a typhoon event Q. Zhao et al. 10.1016/j.jastp.2017.11.013
- The correlation between GNSS-derived precipitable water vapor and sea surface temperature and its responses to El Niño–Southern Oscillation X. Wang et al. 10.1016/j.rse.2018.06.029
- GNSS-derived PWV and comparison with radiosonde and ECMWF ERA-Interim data over mainland China Q. Zhao et al. 10.1016/j.jastp.2018.11.004
- Contemporary methods for retrieving the integrated atmospheric water-vapor content and the total cloud liquid-water content E. Zabolotskikh 10.1134/S000143381703015X
104 citations as recorded by crossref.
- A Combined Model to Predict GNSS Precipitable Water Vapor Based on Deep Learning M. Shangguan et al. 10.1109/JSTARS.2023.3278381
- A Lightning Nowcasting Model Using GNSS PWV and Multisource Data W. Yin et al. 10.1109/TGRS.2024.3487774
- Neural Network-Based Models for Estimating Weighted Mean Temperature in China and Adjacent Areas F. Long et al. 10.3390/atmos12020169
- Water vapor monitoring with IGS RTS and GPT3/VMF3 functions over Turkey E. Tunalı 10.1016/j.asr.2021.12.036
- A novel rainfall forecast model using GNSS observations and CAPE Z. Liu et al. 10.1016/j.jastp.2023.106158
- Real-Time GNSS-Derived PWV for Typhoon Characterizations: A Case Study for Super Typhoon Mangkhut in Hong Kong Q. He et al. 10.3390/rs12010104
- The Sensitivityof GPS Precipitable Water Vapor Jumps to Intense Precipitation Associated with Tropical Organized Convective Systems T. Campos et al. 10.3390/atmos14020262
- Comparison of shipborne GNSS-derived precipitable water vapor with radiosonde in the western North Pacific and in the seas adjacent to Japan Y. Shoji et al. 10.1186/s40623-017-0740-1
- A Simplified Model for the Retrieval of Precipitable Water Vapor From GPS Signal S. Manandhar et al. 10.1109/TGRS.2017.2723625
- Nowcasting of Storms Using Predicted Integrated Water Vapor With a Machine Learning Technique and Satellite Brightness Temperature D. Bisht et al. 10.1109/TGRS.2024.3429525
- Analysis and Comparison of GPS Precipitable Water Estimates between Two Nearby Stations on Tahiti Island F. Zhang et al. 10.3390/s19245578
- A method for predicting short‐time changes in fine particulate matter (PM2.5) mass concentration based on the global navigation satellite system zenith tropospheric delay M. Guo et al. 10.1002/met.1866
- 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
- Rainfall forecast based on GPS PWV together with meteorological parameters using neural network models A. Khaniani et al. 10.1016/j.jastp.2020.105533
- Understanding the Present-Day Spatiotemporal Variability of Precipitable Water Vapor over Ethiopia: A Comparative Study between ERA5 and GPS A. Koji et al. 10.3390/rs14030686
- Internetworking flood disaster mitigation system based on remote sensing and mobile GIS S. Puttinaovarat & P. Horkaew 10.1080/19475705.2020.1815869
- 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
- Statistical Analysis of Atmospheric Delay Gradient and Rainfall Prediction in a Tropical Region A. Naha Biswas et al. 10.3390/rs16224165
- Global Positioning System precipitable water vapour (GPS‐PWV) jumps before intense rain events: A potential application to nowcasting L. Sapucci et al. 10.1002/met.1735
- Reconstruction of narrowband solar radiation for enhanced spectral selectivity in building-integrated solar energy simulations C. Chen et al. 10.1016/j.renene.2023.119554
- Establishing a method of short-term rainfall forecasting based on GNSS-derived PWV and its application Y. Yao et al. 10.1038/s41598-017-12593-z
- An Improved Model for Detecting Heavy Precipitation Using GNSS-Derived Zenith Total Delay Measurements H. Li et al. 10.1109/JSTARS.2021.3079699
- GNSS-Based Machine Learning Storm Nowcasting M. Łoś et al. 10.3390/rs12162536
- Atmospheric Water Vapor Variability over Houston: Continuous GNSS Tomography in the Year of Hurricane Harvey (2017) P. Mateus et al. 10.3390/rs16173205
- Optimization of GPS water vapor tomography technique with radiosonde and COSMIC historical data S. Ye et al. 10.5194/angeo-34-789-2016
- A neural network-based approach for the detection of heavy precipitation using GNSS observations and surface meteorological data H. Li et al. 10.1016/j.jastp.2021.105763
- Towards operational multi-GNSS tropospheric products at GFZ Potsdam K. Wilgan et al. 10.5194/amt-15-21-2022
- Analysis of GNSS-Derived Tropospheric Zenith Non-Hydrostatic Delay Anomaly during Sandstorms in Northern China on 15th March 2021 M. Zhou et al. 10.3390/rs14184678
- Influence of station density and multi-constellation GNSS observations on troposphere tomography Q. Zhao et al. 10.5194/angeo-37-15-2019
- Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach P. Ruttner et al. 10.3390/rs14010017
- 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
- Forecasting rainfall events based on zenith wet delay time series utilizing eXtreme gradient boosting (XGBoost) M. Dehvari et al. 10.1016/j.asr.2024.11.013
- Annual, seasonal, monthly & diurnal IPWV analysis and precipitation forecasting over the Indian subcontinent based on monthly thresholds of ground-based GNSS-IPWV R. Yadav et al. 10.1016/j.asr.2022.07.066
- A New Cumulative Anomaly-Based Model for the Detection of Heavy Precipitation Using GNSS-Derived Tropospheric Products H. Li et al. 10.1109/TGRS.2021.3137014
- Comparison of the Integral Water Vapor Content of the Atmosphere by Data of the Global Forecast System (GFS) and GNSS Observations (Primorski Krai, Russia) A. Kishkina et al. 10.1134/S0097807822060069
- An Improved Method for Rainfall Forecast Based on GNSS-PWV L. Li et al. 10.3390/rs14174280
- An improved atmospheric weighted mean temperature model and its impact on GNSS precipitable water vapor estimates for China L. Huang et al. 10.1007/s10291-019-0843-1
- GPS Precipitable Water Vapor Estimations over Costa Rica: A Comparison against Atmospheric Sounding and Moderate Resolution Imaging Spectrometer (MODIS) P. Campos-Arias et al. 10.3390/cli7050063
- Seasonal Multifactor Modelling of Weighted-Mean Temperature for Ground-Based GNSS Meteorology in Hunan, China L. Li et al. 10.1155/2017/3782687
- An Improved Rainfall Forecasting Model Based on GNSS Observations Q. Zhao et al. 10.1109/TGRS.2020.2968124
- Atmospheric Effects and Precursors of Rainfall over the Swiss Plateau W. Wang & K. Hocke 10.3390/rs14122938
- Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors P. Benevides et al. 10.3390/rs11080966
- Revealing the synergistic contribution of PWV and CAPE to extreme precipitation throughout China Y. Liu et al. 10.1016/j.asr.2024.11.050
- Real-Time Rainfall Nowcast Model by Combining CAPE and GNSS Observations Y. Liu et al. 10.1109/TGRS.2022.3206459
- Improving the Accuracy and Spatial Resolution of ERA5 Precipitable Water Vapor Using InSAR Data P. Mateus et al. 10.1109/LGRS.2024.3379249
- Stratified rainfall forecast method using GNSS observations Y. Liu et al. 10.1016/j.atmosres.2022.106421
- Accuracy Analysis of Real-Time Precise Point Positioning—Estimated Precipitable Water Vapor under Different Meteorological Conditions: A Case Study in Hong Kong Y. Xu et al. 10.3390/atmos14040650
- Characterizing extreme drought and wetness in Guangdong, China using global navigation satellite system and precipitation data H. Zhu et al. 10.1186/s43020-023-00121-6
- Hourly Rainfall Forecast Model Using Supervised Learning Algorithm Q. Zhao et al. 10.1109/TGRS.2021.3054582
- Exploration and analysis of the factors influencing GNSS PWV for nowcasting applications M. Guo et al. 10.1016/j.asr.2021.02.018
- A precipitation forecast model with a neural network and improved GPT3 model for Japan S. Li et al. 10.1007/s10291-023-01526-1
- Optimizing Boundary Conditions in GNSS Tomography: A Continuous 7‐Month Case Study in the Amazon P. Miranda et al. 10.1029/2023GL105030
- Precipitable water vapor retrievals using a ground-based infrared sky camera in subtropical South America E. Hack et al. 10.5194/amt-16-1263-2023
- A New Unconstrained Approach to GNSS Atmospheric Water Vapor Tomography P. Miranda & P. Mateus 10.1029/2021GL094852
- The possibility of rainfall nowcasting using atmospheric electric field J. Wu et al. 10.1016/j.atmosres.2023.107118
- A Tropospheric Tomography Method with a Novel Height Factor Model Including Two Parts: Isotropic and Anisotropic Height Factors W. Zhang et al. 10.3390/rs12111848
- GPS-PWV Based Improved Long-Term Rainfall Prediction Algorithm for Tropical Regions S. Manandhar et al. 10.3390/rs11222643
- GNSS-derived PWV and meteorological data for short-term rainfall forecast based on support vector machine Y. Liu et al. 10.1016/j.asr.2022.05.057
- A Combined Linear–Nonlinear Short-Term Rainfall Forecast Method Using GNSS-Derived PWV Z. Ma et al. 10.3390/atmos13091381
- Correlation Analysis between Precipitation and Precipitable Water Vapor over China Based on 1999–2015 Ground-Based GPS Observations Z. Zhang et al. 10.1175/JAMC-D-21-0200.1
- Monitoring urban heat island intensity based on GNSS tomography technique P. Xia et al. 10.1007/s00190-023-01804-3
- GNSS Storm Nowcasting Demonstrator for Bulgaria G. Guerova et al. 10.3390/rs14153746
- Recent Advances in Real-Time Pluvial Flash Flood Forecasting A. Zanchetta & P. Coulibaly 10.3390/w12020570
- Global Navigation Satellite System-Based Retrieval of Precipitable Water Vapor and Its Relationship with Rainfall and Drought in Qinghai, China S. Zhang et al. 10.3390/atmos14030517
- Weighted Mean Temperature Modelling Using Regional Radiosonde Observations for the Yangtze River Delta Region in China L. Li et al. 10.3390/rs14081909
- Generation of real‐time mode high‐resolution water vapor fields from GPS observations C. Yu et al. 10.1002/2016JD025753
- A Data-Driven Approach for Accurate Rainfall Prediction S. Manandhar et al. 10.1109/TGRS.2019.2926110
- Short-term rainfall forecast model based on the improved BP–NN algorithm Y. Liu et al. 10.1038/s41598-019-56452-5
- Retrieving Accurate Precipitable Water Vapor Based on GNSS Multi‐Antenna PPP With an Ocean‐Based Dynamic Experiment J. Wei et al. 10.1029/2023GL102982
- 4D wet refractivity estimation in the atmosphere using GNSS tomography initialized by radiosonde and AIRS measurements: results from a 1-week intensive campaign P. Benevides et al. 10.1007/s10291-018-0755-5
- Mapping Precipitable Water Vapor Time Series From Sentinel-1 Interferometric SAR P. Mateus et al. 10.1109/TGRS.2019.2946077
- Observations of subtropical weather by a prototype water vapour LiDAR at Hong Kong Observatory W. Yeung et al. 10.1002/wea.3663
- Studies on Heavy Precipitation in Portugal: A Systematic Review J. Cruz et al. 10.3390/cli12100163
- Spatial–Temporal Relationship Study between NWP PWV and Precipitation: A Case Study of ‘July 20’ Heavy Rainstorm in Zhengzhou Y. Xu et al. 10.3390/rs14153636
- On the Impact of GPS Multipath Correction Maps and Post-Fit Residuals on Slant Wet Delays for Tracking Severe Weather Events A. Hunegnaw et al. 10.3390/atmos14020219
- Real-time precise point positioning-based zenith tropospheric delay for precipitation forecasting Q. Zhao et al. 10.1038/s41598-018-26299-3
- Characterizing the tropical cyclone Seroja using the Indonesian CORS network N. Putri et al. 10.1007/s11069-023-06181-w
- A systematic quantitative review on the performance of some of the recent short-term rainfall forecasting techniques S. Ashok & S. Pekkat 10.2166/wcc.2022.302
- Accuracy assessment of reanalysis datasets for GPS-PWV estimation using Indian IGS stations observations A. Srivastava 10.1080/10106049.2021.2022015
- Apparent Short-Period GNSS-ZTD Disturbance Correlated With Precipitation Events Y. Ma et al. 10.1109/LGRS.2022.3210116
- Short-Term Rainfall Forecasting by Combining BP-NN Algorithm and GNSS Technique for Landslide-Prone Areas Z. Li et al. 10.3390/atmos14081309
- Evaluation of atmospheric precipitable water vapour distribution and trend over India C. Tomar et al. 10.1007/s00704-024-05110-6
- The New Improved ZHD and Weighted Mean Temperature Models Based on GNSS and Radiosonde Data Using GPT3 and Fourier Function L. Li et al. 10.3390/atmos13101648
- A New Method for Determining an Optimal Diurnal Threshold of GNSS Precipitable Water Vapor for Precipitation Forecasting H. Li et al. 10.3390/rs13071390
- A Rainfall Forecast Model Based on GNSS Tropospheric Parameters and BP-NN Algorithm H. Fu et al. 10.3390/atmos13071045
- Thunderstorm Classification Functions Based on Instability Indices and GNSS IWV for the Sofia Plain G. Guerova et al. 10.3390/rs11242988
- Application of GPS PWV for rainfall detection using ERA5 datasets over the Indian IGS locations A. Srivastava 10.1007/s12040-024-02286-3
- Forecasting Convective Storms Trajectory and Intensity by Neural Networks N. Borghi et al. 10.3390/forecast6020018
- Analysis of meteorological variables in the Australasian region using ground- and space-based GPS techniques Y. Kuleshov et al. 10.1016/j.atmosres.2016.02.021
- Diurnal variability of atmospheric water vapour, precipitation and cloud top temperature across the global tropics derived from satellite observations and GNSS technique Z. Baldysz et al. 10.1007/s00382-023-07005-0
- Tropospheric Delay in the Neapolitan and Vesuvius Areas (Italy) by Means of a Dense GPS Array: A Contribution for Weather Forecasting and Climate Monitoring U. Riccardi et al. 10.3390/atmos12091225
- A novel method of retrieving potential ET in China X. Ma et al. 10.1016/j.jhydrol.2021.126271
- An improved tropospheric tomography method based on the dynamic node parametrized algorithm W. Zhang 10.13168/AGG.2020.0014
- A Novel Linear Rainfall Forecast Model Based on GNSS Observations and CAPE Z. Liu et al. 10.1109/TGRS.2024.3404649
- Impact of radar data assimilation on simulations of precipitable water with the Harmonie model: A case study over Cyprus S. Ivanov et al. 10.1016/j.atmosres.2021.105473
- GPS-Derived PWV for Rainfall Nowcasting in Tropical Region S. Manandhar et al. 10.1109/TGRS.2018.2839899
- The New PWV Conversion Models Based on GNSS and Meteorological Elements in the China Region L. Li et al. 10.3390/atmos13111810
- 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
- Automated rain fall prediction enabled by optimized convolutional neural network‐based feature formation with adaptive long short‐term memory framework A. K et al. 10.1002/cpe.6868
- Prediction of Integrated Water Vapor Using a Machine Learning Technique D. Bisht et al. 10.1109/LGRS.2022.3217094
- Rainfall Forecasting Using GPS-Derived Atmospheric Gradient and Residual for Tropical Region A. Naha Biswas et al. 10.1109/TGRS.2021.3131217
- Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological data C. Oikonomou et al. 10.5194/adgeo-45-363-2018
- Detecting heavy rainfall using anomaly-based percentile thresholds of predictors derived from GNSS-PWV H. Li et al. 10.1016/j.atmosres.2021.105912
- Development of an Improved Model for Prediction of Short-Term Heavy Precipitation Based on GNSS-Derived PWV H. Li et al. 10.3390/rs12244101
5 citations as recorded by crossref.
- Analysis of Galileo and GPS Integration for GNSS Tomography P. Benevides et al. 10.1109/TGRS.2016.2631449
- GPS-based PWV for precipitation forecasting and its application to a typhoon event Q. Zhao et al. 10.1016/j.jastp.2017.11.013
- The correlation between GNSS-derived precipitable water vapor and sea surface temperature and its responses to El Niño–Southern Oscillation X. Wang et al. 10.1016/j.rse.2018.06.029
- GNSS-derived PWV and comparison with radiosonde and ECMWF ERA-Interim data over mainland China Q. Zhao et al. 10.1016/j.jastp.2018.11.004
- Contemporary methods for retrieving the integrated atmospheric water-vapor content and the total cloud liquid-water content E. Zabolotskikh 10.1134/S000143381703015X
Saved (final revised paper)
Latest update: 13 Dec 2024
Short summary
Precipitable water vapour (PWV) retrieved from GPS delay data is analysed in several case studies of intense precipitation in Lisbon. It is found positive correlation between PWV behaviour and the probability of precipitation. A least-squares fitting of a broken line tendency shows that most severe rainfall occurs in descending trends after a long PWV ascending period. A simple forecast algorithm identifies the majority of large rain events, yet with a substantial amount of false positives.
Precipitable water vapour (PWV) retrieved from GPS delay data is analysed in several case...
Altmetrics
Final-revised paper
Preprint