Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium‐Range Weather Forecasts operational analysis data

By Johannes Boehm, Birgit Werl, Harald Schuh. 2006

1,132 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Astronomy and Astrophysics, Oceanography

View Paper: https://www.semanticscholar.org/paper/e504ddc439a052943a0ffe6a8d4776a3ebf850d4

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Citations in the corpus

Space geodesy constrains ice age terminal deglaciation: The global ICE‐6G_C (VM5a) model (2015, methodology): “The VMF1 (ViennaMapping Function 1) and zenith height delay models from the ECMWF model are used in this second step [Boehm et al., 2006b, 2007].”
Single receiver phase ambiguity resolution with GPS data (2010, background): “Zenith troposphere delay Niell (Niell 2006) or VMF1 mapping functions (Boehm et al. 2006) Random walk 50μm/sqrt (h)”
Generation of a consistent absolute phase-center correction model for GPS receiver and satellite antennas (2007, background): “Major candidates are local multipath or unmodeled loading effects, which may amount to several mm in the station heights, unmodeled effects in the satellite orbital models, and deficiencies of the troposphere mapping functions (cf. Boehm et al., 2006).”
ITRF2008: an improved solution of the international terrestrial reference frame (2011, neutral): “In preparation for the ITRF2008, the Conventions (Petit and Luzum 2010) and a more advanced troposphere modeling (Boehm et al. 2006b) and correc-tionsforantennathermaldeformations(Nothnagel2009);the improved ILRS solution takes into account new range bias values, a new tropospheric modeling (Mendes…”
Generation of real‐time mode high‐resolution water vapor fields from GPS observations (2017, methodology): “…as white noise), while the ZWD was estimated as a random walk parameter as a correction to an a priori ZTD from the UNB3 global empirical model [Leandro et al., 2006], employing the Global Mapping Function [Boehm et al., 2006a], and east-west and north-south tropospheric gradients were estimated.”
Correlated errors in GPS position time series: Implications for velocity estimates (2011, methodology): “…we used the absolute antenna phase calibration model [Schmid et al., 2007], cutoff angle of 10°, phase cycle ambiguity fixation, VMF1 grids [Boehm et al., 2006; Kouba, 2007] for tropospheric delay, FES2004 model [Lyard et al., 2006] for ocean tide loading, and no higher ionospheric…”
Short Note: A global model of pressure and temperature for geodetic applications (2007, methodology): “…and the underlying meteorological data, the determination of GPT is similar to the development of the empirical Global Mapping Function (GMF) (Boehm et al. 2006b), i.e., it is based on three years (September 1999 to August 2002) of 15° x 15° global grids of monthly mean profiles for pressure…”
GPT2: Empirical slant delay model for radio space geodetic techniques (2013, methodology): “Lett., 40, 1069–1073, doi:10.1002/grl.50288.”
Testing of global pressure/temperature (GPT) model and global mapping function (GMF) in GPS analyses (2009, methodology): “1 and Table 4, see also Boehm et al. 2007a; Tregoning and Herring 2006) as well as the small seasonal variations of the constant zh. An interesting observation here is that both Antarctic stations (ohi2 and mcm4) show similar, negative biases in Table 4, which may be an indication that a GPT model r”