Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data

By Johannes Boehm, A. Niell, Paul Tregoning, Harald Schuh. 2006

1,446 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Astronomy and Astrophysics, Oceanography

View Paper: https://www.semanticscholar.org/paper/111200e6aa91cfb24e7a8464942195fc0a273994

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Citations in the corpus

Crustal Deformation in the India‐Eurasia Collision Zone From 25 Years of GPS Measurements (2017, methodology): “Supporting inputs Use Earth rotation parameters, precise ephemeris in IGS08 reference frame and 30s satellite clock products from MIT, and differential code biases from CODE Troposphere Saastamoinen model (Saastamoinen, 1973) and GMF projection function (Boehm et al., 2006) Ionosphere Ionosphere-fre”
Undifferenced GPS Ambiguity Resolution Using the Decoupled Clock Model and Ambiguity Datum Fixing (2010, methodology): “The elevation mask angle was set to 7.5 degrees, the recommended value for the Global Mapping Functions (GMF) [3], which were used to map the tropospheric zenith delays and to form the measurement model partial derivatives.”
Modeling tropospheric wet delays with national GNSS reference network in China for BeiDou precise point positioning (2018, methodology): “Böhm et al. (2007) established an empirical model called Global Pressure and Temperature (GPT) with spherical harmonic parameters for pressure and temperature, which has been widely applied in GNSS/VLBI/DORIS data processing.”
Modeling deformation induced by seasonal variations of continental water in the Himalaya region: Sensitivity to Earth elastic structure (2011, methodology): “We used the Global Mapping Function model for the tropospheric mapping function [Boehm et al., 2006] and estimated horizontal tropospheric gradients at each station.”
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].”
Improving BeiDou real-time precise point positioning with numerical weather models (2017, background): “…and Zw are ZHD and ZWD, respectively, m fh(e) and m fw(e) denote the hydrostatic and non-hydrostatic mapping functions (e.g., global mapping functions (GMF), Boehm et al. 2006), m fG(e) is the gradient mapping function, Gns and Gew are the north-south (NS) and east-west (EW) delay gradients,…”
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…”
Testing of global pressure/temperature (GPT) model and global mapping function (GMF) in GPS analyses (2009, methodology): “…step, NRCan PPP solutions (Héroux and Kouba 2001) were compared for two approaches, using either the GPT model plus GMF global mapping functions (Boehm et al. 2006b) or gridded VMF1 values utilizing interpolated, time-dependent zh delays together with time-dependent VMF1 MFs (i.e., the…”
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…”
Integrating GPS and BDS to shorten the initialization time for ambiguity-fixed PPP (2017, methodology): “We estimated ZWDs every hour with the global mapping function (Boehm et al. 2006).”
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.”
A review of the remote sensing of lower tropospheric thermodynamic profiles and its indispensable role for the understanding and the simulation of water and energy cycles (2015, background): “The hydrostatic and nonhydrostatic mapping function Mh and Mw are based on a climatology [Boehm et al., 2006] but also NWP fields can be taken.”