Optimum stochastic modeling for GNSS tropospheric delay estimation in real-time-Reference-Cited by-同舟云学术

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Optimum stochastic modeling for GNSS tropospheric delay estimation in real-time

Published:2016-12-23 Issue:3 Volume:21 Page:1069-1081
ISSN:1080-5370
Container-title:GPS Solutions
language:en
Short-container-title:GPS Solut

Author:

Hadas Tomasz^ORCID,Teferle Felix Norman,Kazmierski Kamil,Hordyniec Pawel,Bosy Jaroslaw

Funder

Ministerstwo Nauki i Szkolnictwa Wyższego

COST Action ES1206

Wroclaw Center of Networking and Supercomputing

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

http://link.springer.com/article/10.1007/s10291-016-0595-0/fulltext.html

Reference46 articles.

1. Ahmed F, Vaclavovic P, Teferle FN, Dousa J, Bingley R, Laurichesse D (2016) Comparative analysis of real-time precise point positioning zenith total delay estimates. GPS Solut 20(187):199. doi: 10.1007/s10291-014-0427-z

2. Bennitt GV, Jupp A (2012) Operational assimilation of GPS zenith total delay observations into the met office numerical weather prediction models. Mon Weather Rev 140(8):2706–2719

3. Bevis M, Businger S, Chiswell S, Herring TA, Anthes RA, Rocken C, Ware RH (1992) GPS meteorology: remote sensing of atmospheric water vapor using the global positioning system. J Geophys Res 97(D14):15787–15801

4. Bharucha-Reid AT (1960) Elements of the theory of Markov processes and their applications. McGraw-Hill, New York

5. Bianchi CE, Mendoza LPO, Fernandez LI, Moitano JF (2016) Multi-year GNSS monitoring of atmospheric IWV over Central and South America for climate studies. Ann Geo 34(7):623–639. doi: 10.5194/angeo-34-623-2016

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