caa a22 4500 606162267 CHVBK 20210128100638.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s10291-014-0403-7 doi (NATIONALLICENCE)springer-10.1007/s10291-014-0403-7 Development of an improved empirical model for slant delays in the troposphere (GPT2w) [Elektronische Daten] [Johannes Böhm, Gregor Möller, Michael Schindelegger, Gregory Pain, Robert Weber] Global pressure and temperature 2 wet (GPT2w) is an empirical troposphere delay model providing the mean values plus annual and semiannual amplitudes of pressure, temperature and its lapse rate, water vapor pressure and its decrease factor, weighted mean temperature, as well as hydrostatic and wet mapping function coefficients of the Vienna mapping function 1. All climatological parameters have been derived consistently from monthly mean pressure level data of ERA-Interim fields (European Centre for Medium-Range Weather Forecasts Re-Analysis) with a horizontal resolution of 1°, and the model is suitable to calculate slant hydrostatic and wet delays down to 3° elevation at sites in the vicinity of the earth surface using the date and approximate station coordinates as input. The wet delay estimation builds upon gridded values of the water vapor pressure, the weighted mean temperature, and the water vapor decrease factor, with the latter being tuned to ray-traced zenith wet delays. Comparisons with zenith delays at 341 globally distributed global navigation satellite systems stations show that the mean bias over all stations is below 1mm and the mean standard deviation is about 3.6cm. The GPT2w model with the gridded input file is provided at http://ggosatm.hg.tuwien.ac.at/DELAY/SOURCE/GPT2w/ . The Author(s), 2014 Tropospheric delay nationallicence Zenith delay nationallicence Slant delay nationallicence Mapping function nationallicence Böhm Johannes Department of Geodesy and Geoinformation, Vienna University of Technology, Gußhausstraße 27-29, 1040, Vienna, Austria aut Möller Gregor Department of Geodesy and Geoinformation, Vienna University of Technology, Gußhausstraße 27-29, 1040, Vienna, Austria aut Schindelegger Michael Department of Geodesy and Geoinformation, Vienna University of Technology, Gußhausstraße 27-29, 1040, Vienna, Austria aut Pain Gregory Department of the Terrestrial and Spatial Positioning, IGN-School (National School of Geographic Sciences, ENSG), 6 et 8 Avenue Blaise Pascal, Champs-sur-Marne, Marne La Vallée, France aut Weber Robert Department of Geodesy and Geoinformation, Vienna University of Technology, Gußhausstraße 27-29, 1040, Vienna, Austria aut GPS Solutions Springer Berlin Heidelberg 19/3(2015-07-01), 433-441 1080-5370 19:3<433 2015 19 10291 https://doi.org/10.1007/s10291-014-0403-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10291-014-0403-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Böhm Johannes Department of Geodesy and Geoinformation, Vienna University of Technology, Gußhausstraße 27-29, 1040, Vienna, Austria aut NATIONALLICENCE 700 1- Möller Gregor Department of Geodesy and Geoinformation, Vienna University of Technology, Gußhausstraße 27-29, 1040, Vienna, Austria aut NATIONALLICENCE 700 1- Schindelegger Michael Department of Geodesy and Geoinformation, Vienna University of Technology, Gußhausstraße 27-29, 1040, Vienna, Austria aut NATIONALLICENCE 700 1- Pain Gregory Department of the Terrestrial and Spatial Positioning, IGN-School (National School of Geographic Sciences, ENSG), 6 et 8 Avenue Blaise Pascal, Champs-sur-Marne, Marne La Vallée, France aut NATIONALLICENCE 700 1- Weber Robert Department of Geodesy and Geoinformation, Vienna University of Technology, Gußhausstraße 27-29, 1040, Vienna, Austria aut NATIONALLICENCE 773 0- GPS Solutions Springer Berlin Heidelberg 19/3(2015-07-01), 433-441 1080-5370 19:3<433 2015 19 10291