Estimation of tropospheric wet refractivity using tomography method and artificial neural networks in Iranian case study
Author:
Funder
Iran National Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10291-020-00979-y.pdf
Reference25 articles.
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2. Aster R, Borchers B, Thurber C (2003) Parameter estimation and inverse problems, vol 90. Elsevier Academic Press, New York
3. Benevides P, Catalao J, Nico G, Miranda P (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
4. Bevis M, Businger S, Herring T, Rocken C, Ware RH (1992) GPS metrology: remote sensing of atmospheric water vapor using the global positioning system. J Geophys Res 97(D14):15787–15801
5. Böhm J, Niell A, Tregoning P, Schuh H (2006) Global mapping function (GMF): a new empirical mapping function based on numerical weather model data. Geophys Res Lett. https://doi.org/10.1029/2005GL02554
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