An adaptive-degree layered function-based method to GNSS tropospheric tomography
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10291-023-01401-z.pdf
Reference31 articles.
1. Alshawaf F, Hinz S, Mayer M, Meyer F (2015) Constructing accurate maps of atmospheric water vapor by combining interferometric synthetic aperture radar and GNSS observations. J Geophys Res Atmos 120:1391–1403. https://doi.org/10.1002/2014JD022419
2. Bender M et al (2010) Development of a GNSS water vapour tomography system using algebraic reconstruction techniques. Adv Space Res 47:1704–1720. https://doi.org/10.1016/j.asr.2010.05.034
3. Benevides P, Catalao J, Nico G, Miranda PMA (2018) 4D wet refractivity estimation in the atmosphere using GNSS tomography initialized by radiosonde and AIRS measurements: results from a 1-week intensive campaign. GPS Solut 22(4):91. https://doi.org/10.1007/s10291-018-0755-5
4. Bevis M, Businger S, Herring TA, Rocken C, Anthes RA, Ware RH (1992) GPS meteorology: remote sensing of atmospheric water vapor using global positioning system. J Geophys Res Atmos 97:15787–15801. https://doi.org/10.1029/92JD01517
5. Boehm J, Schuh H (2004) Vienna mapping functions in VLBI analyses. Geophys Res Lett 31:L01603. https://doi.org/10.1029/2003GL018984
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