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.
IEEE DOI
1403
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.
IEEE DOI
1512
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.
IEEE DOI
1503
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.
IEEE DOI
1705
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Li, H.B.[Hao-Bo],
Wang, X.M.[Xiao-Ming],
Wu, S.Q.[Su-Qin],
Zhang, K.F.[Ke-Fei],
Fu, E.J.[Er-Jiang],
Xu, Y.[Ying],
Qiu, C.[Cong],
Zhang, J.L.[Jing-Lei],
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
BibRef
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
BibRef
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.
IEEE DOI
2104
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Pang, H.[Haoyun],
Zhang, L.[Lulu],
Liu, W.[Wen],
Wang, X.[Xin],
Wang, Y.F.[Yue-Feng],
Huang, L.[Liangke],
A GRNN-Based Model for ERA5 PWV Adjustment with GNSS Observations
Considering Seasonal and Geographic Variations,
RS(16), No. 13, 2024, pp. 2424.
DOI Link
2407
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Relative Humidity Measurements, Atmosphere .