51 citations as recorded by crossref.

1. GNSS Precipitable Water Vapor from an Amazonian Rain Forest Flux Tower D. Adams et al. https://doi.org/10.1175/JTECH-D-11-00082.1
2. Assessing the performance of troposphere tomographic modeling using multi-source water vapor data during Hong Kong's rainy season from May to October 2013 B. Chen & Z. Liu https://doi.org/10.5194/amt-9-5249-2016
3. Development of a New Vertical Water Vapor Model for GNSS Water Vapor Tomography M. Wan et al. https://doi.org/10.3390/rs14225656
4. Near real-time estimation of water vapour in the troposphere using ground GNSS and the meteorological data J. Bosy et al. https://doi.org/10.5194/angeo-30-1379-2012
5. 1D-Var retrieval of daytime total columnar water vapour from MERIS measurements R. Lindstrot et al. https://doi.org/10.5194/amt-5-631-2012
6. A troposphere tomography method considering the weighting of input information Q. Zhao et al. https://doi.org/10.5194/angeo-35-1327-2017
7. Time-dependent stochastic inversion in acoustic tomography of the atmosphere with reciprocal sound transmission S. Vecherin et al. https://doi.org/10.1088/0957-0233/19/12/125501
8. An improved ridge estimation (IRE) method for troposphere water vapor tomography Q. Zhao et al. https://doi.org/10.1016/j.jastp.2020.105366
9. Tomographic Reconstruction of Water Vapor Density Fields From the Integration of GNSS Observations and Fengyun-4A Products B. Chen et al. https://doi.org/10.1109/TGRS.2023.3239392
10. Analysis of Galileo and GPS Integration for GNSS Tomography P. Benevides et al. https://doi.org/10.1109/TGRS.2016.2631449
11. 4D tomographic reconstruction of the tropospheric wet refractivity using the concept of virtual reference station, case study: northwest of Iran Z. Adavi & M. Mashhadi-Hossainali https://doi.org/10.1007/s00703-014-0342-4
12. Monitoring urban heat island intensity based on GNSS tomography technique P. Xia et al. https://doi.org/10.1007/s00190-023-01804-3
13. Key Technologies for GNSS Water Vapor Retrieval and Their Applications in Marine Environmental Monitoring P. Wang et al. https://doi.org/10.1109/JSTARS.2026.3717583
14. An Adaptive Non-Uniform Vertical Stratification Method for Troposphere Water Vapor Tomography H. Wang et al. https://doi.org/10.3390/rs13193818
15. A dense GNSS meteorological network for observing deep convection in the Amazon D. Adams et al. https://doi.org/10.1002/asl.312
16. The verification of GNSS tropospheric tomography model in a mountainous area W. Rohm & J. Bosy https://doi.org/10.1016/j.asr.2010.04.017
17. Estimates of the information provided by GPS slant data observed in Germany regarding tomographic applications M. Bender et al. https://doi.org/10.1029/2008JD011008
18. A method to improve the utilization of GNSS observation for water vapor tomography Y. Yao et al. https://doi.org/10.5194/angeo-34-143-2016
19. Adaptive Node Parameterization for Dynamic Determination of Boundaries and Nodes of GNSS Tomographic Models N. Ding et al. https://doi.org/10.1002/2017JD027748
20. Atmospheric bending effects in GNSS tomography G. Möller & D. Landskron https://doi.org/10.5194/amt-12-23-2019
21. Parameterisation of the GNSS troposphere tomography domain with optimisation of the nodes’ distribution E. Trzcina et al. https://doi.org/10.1007/s00190-022-01691-0
22. An overview of GNSS remote sensing K. Yu et al. https://doi.org/10.1186/1687-6180-2014-134
23. An improved troposphere tomographic approach considering the signals coming from the side face of the tomographic area Q. Zhao & Y. Yao https://doi.org/10.5194/angeo-35-87-2017
24. Detecting Water Vapor Variability during Heavy Precipitation Events in Hong Kong Using the GPS Tomographic Technique B. Chen et al. https://doi.org/10.1175/JTECH-D-16-0115.1
25. GNSS water vapour tomography – Expected improvements by combining GPS, GLONASS and Galileo observations M. Bender et al. https://doi.org/10.1016/j.asr.2010.09.011
26. Voxel-optimized regional water vapor tomography and comparison with radiosonde and numerical weather model B. Chen & Z. Liu https://doi.org/10.1007/s00190-014-0715-y
27. Reconstruction of Wet Refractivity Field Using an Improved Parameterized Tropospheric Tomographic Technique B. Chen et al. https://doi.org/10.3390/rs12183034
28. Sensing of the structure of the radio wave refractivity in the troposphere by a network of satellite navigation system receivers in the city of Kazan O. Khutorova et al. https://doi.org/10.1007/s11141-011-9266-8
29. Accuracy and reliability of tropospheric wet refractivity tomography with GPS, BDS, and GLONASS observations Q. Zhao et al. https://doi.org/10.1016/j.asr.2018.01.021
30. Spatiotemporal distribution of GNSS-derived PWV in Australia from 2010 to 2019 P. Zhao et al. https://doi.org/10.1016/j.geog.2024.12.006
31. Observing geometry effects on a Global Navigation Satellite System (GNSS)-based water vapor tomography solved by least squares and by compressive sensing M. Heublein et al. https://doi.org/10.5194/angeo-38-179-2020
32. FY-4B/GIIRS AVP Weak-Constraint-Enhanced GNSS Water Vapor Tomography over Hong Kong Z. Zhou et al. https://doi.org/10.3390/rs18111717
33. Improving the Wet Refractivity Estimation Using the Extremely Learning Machine (ELM) Technique E. Forootan et al. https://doi.org/10.3390/atmos14010112
34. 3-D Adaptive GNSS Tomography Fusing Pangu-Weather-Derived Water Vapor Gradient and Signal Density Fields Y. Liu et al. https://doi.org/10.1109/TGRS.2026.3720193
35. Applying principal components to analyze the distribution of model biases in GNSS tropospheric tomography for a case study in Northwestern Iran M. Mashhadi Hossainali & H. Tabatabaei https://doi.org/10.1007/s10291-022-01315-2
36. ZPD Retrieval Performances of the First Operational Ship-Based Network of GNSS Receivers over the North-West Mediterranean Sea A. Antonini et al. https://doi.org/10.3390/s24103177
37. A functional modelling approach for reconstructing 3 and 4 dimensional wet refractivity fields in the lower atmosphere using GNSS measurements E. Forootan et al. https://doi.org/10.1016/j.asr.2021.08.012
38. Development of a GNSS water vapour tomography system using algebraic reconstruction techniques M. Bender et al. https://doi.org/10.1016/j.asr.2010.05.034
39. Review on the Role of GNSS Meteorology in Monitoring Water Vapor for Atmospheric Physics J. Vaquero-Martínez & M. Antón https://doi.org/10.3390/rs13122287
40. Local tomography troposphere model over mountains area W. Rohm & J. Bosy https://doi.org/10.1016/j.atmosres.2009.03.013
41. Troposphere Water Vapour Tomography: A Horizontal Parameterised Approach Q. Zhao et al. https://doi.org/10.3390/rs10081241
42. Operational assimilation of GPS slant path delay measurements into the MM5 4DVAR system H. Bauer et al. https://doi.org/10.1111/j.1600-0870.2010.00489.x
43. Generation of 3D water vapour tomography using voxel-based approach in the Himalayan region A. Srivastava https://doi.org/10.1007/s12040-024-02293-4
44. Capturing the Signature of Severe Weather Events in Australia Using GPS Measurements K. Zhang et al. https://doi.org/10.1109/JSTARS.2015.2406313
45. Influence of station density and multi-constellation GNSS observations on troposphere tomography Q. Zhao et al. https://doi.org/10.5194/angeo-37-15-2019
46. GNSS ground-based tomography: state-of-the-art and technological challenges S. Saxena & R. Dwivedi https://doi.org/10.1080/01431161.2023.2247526
47. Enhanced GNSS Tomography Using Synthetic Ray Augmentation Constrained by Observed Tropospheric Gradients P. Mateus & P. Miranda https://doi.org/10.3390/rs18183070
48. Assessment of regularization techniques in GNSS tropospheric tomography based on single- and dual-frequency observations Z. Adavi et al. https://doi.org/10.1007/s10291-021-01202-2
49. Enhanced ground-based GNSS tomography for accurate water vapor retrieval X. Pengfei et al. https://doi.org/10.1016/j.jastp.2025.106709
50. Optimization of GPS water vapor tomography technique with radiosonde and COSMIC historical data S. Ye et al. https://doi.org/10.5194/angeo-34-789-2016
51. Cross-Comparison and Methodological Improvement in GPS Tomography H. Brenot et al. https://doi.org/10.3390/rs12010030