GNSS applied to Atmospheric, Water Vapor, Precipitable Water Vapor, PWV

Chapter Contents (Back)
GNSS. Water Vapor.
See also Atmospheric, Water Vapor, Precipitable Water Vapor, PWV.
See also Relative Humidity Measurements, Atmosphere.

Antonini, A., Benedetti, R., Ortolani, A., Rovai, L., Schiavon, G.,
Water Vapor Probabilistic Retrieval Using GNSS Signals,
GeoRS(52), No. 3, March 2014, pp. 1892-1900.
atmospheric humidity BibRef

Li, X.X.[Xing-Xing], Dick, G., Lu, C.X.[Cui-Xian], Ge, M., Nilsson, T., Ning, T.[Tong], Wickert, J., Schuh, H.,
Multi-GNSS Meteorology: Real-Time Retrieving of Atmospheric Water Vapor from BeiDou, Galileo, GLONASS, and GPS Observations,
GeoRS(53), No. 12, December 2015, pp. 6385-6393.
atmospheric humidity
See also Real-Time Tropospheric Delays Retrieved from Multi-GNSS Observations and IGS Real-Time Product Streams. BibRef

Alshawaf, F., Fuhrmann, T., Knopfler, A., Luo, X., Mayer, M., Hinz, S., Heck, B.,
Accurate Estimation of Atmospheric Water Vapor Using GNSS Observations and Surface Meteorological Data,
GeoRS(53), No. 7, July 2015, pp. 3764-3771.
Atmospheric measurements BibRef

Mateus, P., Catalăo, J., Nico, G.,
Sentinel-1 Interferometric SAR Mapping of Precipitable Water Vapor Over a Country-Spanning Area,
GeoRS(55), No. 5, May 2017, pp. 2993-2999.
atmospheric humidity, data assimilation, radar interferometry, remote sensing by radar, satellite navigation, synthetic aperture radar, GNSS measurement, Iberian Peninsula, SAR meteorology, Sentinel-1 Interferometric SAR mapping, Sentinel-1A SAR images, atmosphere precipitable water vapor, country-spanning area, global navigation satellite system, interferometric SAR data assimilation, interferometric Sentinel-1A-B C-band synthetic aperture radar data, numerical weather model, Atmosphere, Delays, Image segmentation, Meteorology, Sensors, Spatial resolution, Synthetic aperture radar, Global navigation satellite system (GNSS), BibRef

Zhang, B.[Bao], Fan, Q.B.[Qing-Biao], Yao, Y.B.[Yi-Bin], Xu, C.J.[Cai-Jun], Li, X.X.[Xing-Xing],
An Improved Tomography Approach Based on Adaptive Smoothing and Ground Meteorological Observations,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
GNSS for water vapor. BibRef

Krietemeyer, A.[Andreas], ten Veldhuis, M.C.[Marie-Claire], van der Marel, H.[Hans], Realini, E.[Eugenio], van de Giesen, N.[Nick],
Potential of Cost-Efficient Single Frequency GNSS Receivers for Water Vapor Monitoring,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810

Benevides, P.[Pedro], Catalao, J.[Joao], Nico, G.[Giovanni],
Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905

Yang, F.[Fei], Guo, J.M.[Ji-Ming], Meng, X.L.[Xiao-Lin], Shi, J.B.[Jun-Bo], Zhou, L.[Lv],
Establishment and Assessment of a New GNSS Precipitable Water Vapor Interpolation Scheme Based on the GPT2w Model,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905

Baldysz, Z.[Zofia], Nykiel, G.[Grzegorz],
Improved Empirical Coefficients for Estimating Water Vapor Weighted Mean Temperature over Europe for GNSS Applications,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909

Mota, G.V.[Galdino V.], Song, S.[Shuli], Stepniak, K.[Katarzyna],
Assessment of Integrated Water Vapor Estimates from the iGMAS and the Brazilian Network GNSS Ground-Based Receivers in Rio de Janeiro,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911

Wang, S.M.[Shuai-Min], Xu, T.H.[Tian-He], Nie, W.F.[Wen-Feng], Jiang, C.H.[Chun-Hua], Yang, Y.G.[Yu-Guo], Fang, Z.L.[Zhen-Long], Li, M.[Mowen], Zhang, Z.[Zhen],
Evaluation of Precipitable Water Vapor from Five Reanalysis Products with Ground-Based GNSS Observations,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006

Yao, Y.[Yibin], Liu, C.[Chen], Xu, C.Q.[Chao-Qian],
A New GNSS-Derived Water Vapor Tomography Method Based on Optimized Voxel for Large GNSS Network,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007

Yao, Y.B.[Yi-Bin], Liu, C.[Chen], Xu, C.Q.[Chao-Qian], Tan, Y.[Yu], Fang, M.[Mingshan],
A Refined Tomographic Window for GNSS-Derived Water Vapor Tomography,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009

Mertikas, S.[Stelios], Partsinevelos, P.[Panagiotis], Tripolitsiotis, A.[Achilleas], Kokolakis, C.[Costas], Petrakis, G.[George], Frantzis, X.[Xenophon],
Validation of Sentinel-3 OLCI Integrated Water Vapor Products Using Regional GNSS Measurements in Crete, Greece,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008

Li, H.[Haobo], Wang, X.M.[Xiao-Ming], Wu, S.[Suqin], Zhang, K.[Kefei], Fu, E.[Erjiang], Xu, Y.[Ying], Qiu, C.[Cong], Zhang, J.[Jinglei], Li, L.[Li],
A New Method for Determining an Optimal Diurnal Threshold of GNSS Precipitable Water Vapor for Precipitation Forecasting,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104

Wu, M.L.[Ming-Liang], Jin, S.G.[Shuang-Gen], Li, Z.C.[Zhi-Cai], Cao, Y.C.[Yun-Chang], Ping, F.[Fan], Tang, X.[Xu],
High-Precision GNSS PWV and Its Variation Characteristics in China Based on Individual Station Meteorological Data,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104

Gong, Y.Z.[Yang-Zhao], Liu, Z.Z.[Zhi-Zhao],
Evaluating the Accuracy of Jason-3 Water Vapor Product Using PWV Data From Global Radiosonde and GNSS Stations,
GeoRS(59), No. 5, May 2021, pp. 4008-4017.
Microwave radiometry, Global navigation satellite system, Satellite broadcasting, Altimetry, Sea measurements, radiosonde BibRef

Vaquero-Martínez, J.[Javier], Antón, M.[Manuel],
Review on the Role of GNSS Meteorology in Monitoring Water Vapor for Atmospheric Physics,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106

Xiong, S.[Si], Ma, F.[Fujian], Ren, X.D.[Xiao-Dong], Chen, J.[Jun], Zhang, X.H.[Xiao-Hong],
LEO Constellation-Augmented Multi-GNSS for 3D Water Vapor Tomography,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109

Ziarani, M.R.[Maryam Ramezani], Bookhagen, B.[Bodo], Schmidt, T.[Torsten], Wickert, J.[Jens], de la Torre, A.[Alejandro], Deng, Z.G.[Zhi-Guo], Calori, A.[Andrea],
A Model for the Relationship between Rainfall, GNSS-Derived Integrated Water Vapour, and CAPE in the Eastern Central Andes,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109

Mo, Z.X.[Zhi-Xiang], Zeng, Z.L.[Zhao-Liang], Huang, L.K.[Liang-Ke], Liu, L.L.[Li-Long], Huang, L.[Ling], Zhou, L.[Lv], Ren, C.[Chao], He, H.C.[Hong-Chang],
Investigation of Antarctic Precipitable Water Vapor Variability and Trend from 18 Year (2001 to 2018) Data of Four Reanalyses Based on Radiosonde and GNSS Observations,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110

Aichinger-Rosenberger, M.[Matthias], Weber, R.[Robert], Hanna, N.[Natalia],
Kinematic ZTD Estimation from Train-Borne Single-Frequency GNSS: Validation and Assimilation,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
Zenith Total Delay. BibRef

char. Tu, M.H.[Man-Hong], Zhang, W.X.[Wei-Xing], Bai, J.[Jingna], Wu, D.[Di], Liang, H.[Hong], Lou, Y.D.[Yi-Dong],
Spatio-Temporal Variations of Precipitable Water Vapor and Horizontal Tropospheric Gradients from GPS during Typhoon Lekima,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110

Su, H.[Hang], Yang, T.[Tao], Wang, K.[Kan], Sun, B.Q.[Bao-Qi], Yang, X.[Xuhai],
Evaluation of Precipitable Water Vapor Retrieval from Homogeneously Reprocessed Long-Term GNSS Tropospheric Zenith Wet Delay, and Multi-Technique,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112

Negusini, M.[Monia], Petkov, B.H.[Boyan H.], Tornatore, V.[Vincenza], Barindelli, S.[Stefano], Martelli, L.[Leonardo], Sarti, P.[Pierguido], Tomasi, C.[Claudio],
Water Vapour Assessment Using GNSS and Radiosondes over Polar Regions and Estimation of Climatological Trends from Long-Term Time Series Analysis,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112

Wang, H.S.[Hai-Shen], Liu, Y.[Yubao], Liu, Y.W.[Yue-Wei], Cao, Y.C.[Yun-Chang], Liang, H.[Hong], Hu, H.[Heng], Liang, J.S.[Jing-Shu], Tu, M.H.[Man-Hong],
Assimilation of GNSS PWV with NCAR-RTFDDA to Improve Prediction of a Landfall Typhoon,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201

van Malderen, R.[Roeland], Pottiaux, E.[Eric], Stankunavicius, G.[Gintautas], Beirle, S.[Steffen], Wagner, T.[Thomas], Brenot, H.[Hugues], Bruyninx, C.[Carine], Jones, J.[Jonathan],
Global Spatiotemporal Variability of Integrated Water Vapor Derived from GPS, GOME/SCIAMACHY and ERA-Interim: Annual Cycle, Frequency Distribution and Linear Trends,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202

Graffigna, V.[Victoria], Hernández-Pajares, M.[Manuel], Azpilicueta, F.[Francisco], Gende, M.[Mauricio],
Comprehensive Study on the Tropospheric Wet Delay and Horizontal Gradients during a Severe Weather Event,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202

Ding, J.S.[Jun-Sheng], Chen, J.P.[Jun-Ping], Tang, W.J.[Wen-Jie], Song, Z.Y.[Zi-Yuan],
Spatial-Temporal Variability of Global GNSS-Derived Precipitable Water Vapor (1994-2020) and Climate Implications,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208

Quarello, A.[Annarosa], Bock, O.[Olivier], Lebarbier, E.[Emilie],
GNSSseg, a Statistical Method for the Segmentation of Daily GNSS IWV Time Series,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208

Yang, F.[Fei], Wang, J.Y.[Jin-Yang], Wang, H.S.[Hong-Sen], Gong, X.[Xu], Wang, L.[Lei], Huang, B.[Bin],
Assessment of the Water Vapor Tomography Based on Four Navigation Satellite Systems and Their Various Combinations,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208

Ding, N.[Nan], Tan, X.L.[Xing-Long], Liu, X.[Xin], He, Z.F.[Zhi-Fen], Zhang, Y.[Yu], Wang, Y.C.[Yu-Chen], Zhang, S.[Shubi], Holden, L.[Lucas], Zhang, K.[Kefei],
Adaptive Voxel-Based Model for the Dynamic Determination of Tomographic Region,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301

Adavi, Z.[Zohreh], Ghassemi, B.[Babak], Weber, R.[Robert], Hanna, N.[Natalia],
Machine Learning-Based Estimation of Hourly GNSS Precipitable Water Vapour,
RS(15), No. 18, 2023, pp. 4551.
DOI Link 2310

Rannat, K.[Kalev], Keernik, H.[Hannes], Madonna, F.[Fabio],
The Novel Copernicus Global Dataset of Atmospheric Total Water Vapour Content with Related Uncertainties from GNSS Observations,
RS(15), No. 21, 2023, pp. 5150.
DOI Link 2311

Wang, M.H.[Ming-Hua], Lv, Z.[Zhuochen], Wu, W.W.[Wei-Wei], Li, D.[Du], Zhang, R.[Rui], Sun, C.Z.[Cheng-Zhi],
Multiscale Spatiotemporal Variations of GNSS-Derived Precipitable Water Vapor over Yunnan,
RS(16), No. 2, 2024, pp. 412.
DOI Link 2402

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Relative Humidity Measurements, Atmosphere .

Last update:Jun 5, 2024 at 10:22:22