Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.400 IF 3.400
  • IF 5-year value: 3.841 IF 5-year
    3.841
  • CiteScore value: 3.71 CiteScore
    3.71
  • SNIP value: 1.472 SNIP 1.472
  • IPP value: 3.57 IPP 3.57
  • SJR value: 1.770 SJR 1.770
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 70 Scimago H
    index 70
  • h5-index value: 49 h5-index 49
Volume 10, issue 8
Atmos. Meas. Tech., 10, 2807–2820, 2017
https://doi.org/10.5194/amt-10-2807-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Advanced Global Navigation Satellite Systems tropospheric...

Atmos. Meas. Tech., 10, 2807–2820, 2017
https://doi.org/10.5194/amt-10-2807-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 07 Aug 2017

Research article | 07 Aug 2017

Determination of zenith hydrostatic delay and its impact on GNSS-derived integrated water vapor

Xiaoming Wang et al.
Related authors  
A new approach for GNSS tomography from a few GNSS stations
Nan Ding, Shubi Zhang, Suqin Wu, Xiaoming Wang, Allison Kealy, and Kefei Zhang
Atmos. Meas. Tech., 11, 3511–3522, https://doi.org/10.5194/amt-11-3511-2018,https://doi.org/10.5194/amt-11-3511-2018, 2018
Related subject area  
Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Tropopause altitude determination from temperature profile measurements of reduced vertical resolution
Nils König, Peter Braesicke, and Thomas von Clarmann
Atmos. Meas. Tech., 12, 4113–4129, https://doi.org/10.5194/amt-12-4113-2019,https://doi.org/10.5194/amt-12-4113-2019, 2019
Short summary
A generalized simulation capability for rotating- beam scatterometers
Zhen Li, Ad Stoffelen, and Anton Verhoef
Atmos. Meas. Tech., 12, 3573–3594, https://doi.org/10.5194/amt-12-3573-2019,https://doi.org/10.5194/amt-12-3573-2019, 2019
Short summary
Automated wind turbine wake characterization in complex terrain
Rebecca J. Barthelmie and Sara C. Pryor
Atmos. Meas. Tech., 12, 3463–3484, https://doi.org/10.5194/amt-12-3463-2019,https://doi.org/10.5194/amt-12-3463-2019, 2019
Short summary
Polarimetric radar characteristics of lightning initiation and propagating channels
Jordi Figueras i Ventura, Nicolau Pineda, Nikola Besic, Jacopo Grazioli, Alessandro Hering, Oscar A. van der Velde, David Romero, Antonio Sunjerga, Amirhossein Mostajabi, Mohammad Azadifar, Marcos Rubinstein, Joan Montanyà, Urs Germann, and Farhad Rachidi
Atmos. Meas. Tech., 12, 2881–2911, https://doi.org/10.5194/amt-12-2881-2019,https://doi.org/10.5194/amt-12-2881-2019, 2019
Short summary
Processing and quality control of FY-3C GNOS data used in numerical weather prediction applications
Mi Liao, Sean Healy, and Peng Zhang
Atmos. Meas. Tech., 12, 2679–2692, https://doi.org/10.5194/amt-12-2679-2019,https://doi.org/10.5194/amt-12-2679-2019, 2019
Short summary
Cited articles  
Bevis, M., Businger, S., Herring, T. A., Rocken, C., Anthes, R. A., and Ware, R. H.: GPS meteorology: Remote sensing of atmospheric water vapor using the Global Positioning System, J. Geophys. Res.-Atmos., 97, 15787–15801, 1992.
Bevis, M., Businger, S., Chiswell, S., Herring, T. A., Anthes, R. A., Rocken, C., and Ware, R. H.: GPS meteorology: Mapping zenith wet delays onto precipitable water, J. Appl. Meteorol., 33, 379–386, 1994.
Bianchi, C. E., Mendoza, L. P. O., Fernández, L. I., Natali, M. P., Meza, A. M., and Moirano, J. F.: Multi-year GNSS monitoring of atmospheric IWV over Central and South America for climate studies, Ann. Geophys., 34, 623–639, https://doi.org/10.5194/angeo-34-623-2016, 2016.
Bock, O. and Doerflinger, E.: Atmospheric modeling in GPS data analysis for high accuracy positioning, Phys. Chem. Earth Pt. A, 26, 373–383, 2001.
Bock, O. and Nuret, M.: Verification of NWP model analyses and radiosonde humidity data with GPS precipitable water vapor estimates during AMMA, Weather Forecast., 24, 1085–1101, 2009.
Publications Copernicus
Download
Short summary
Accurate knowledge of water vapor (WV) is vital for global climate studies. The Global Navigation Satellite System (GNSS) has been used as an emerging tool for sensing integrated WV (IWV). In the determination of PWV, surface pressure is required. However, few GNSS stations were installed with meteorological sensors back in the 1990s. Our research indicates that the ERA-Interim-derived pressure has the potential to be used to obtain high-accuracy IWV on a global scale for climate studies.
Accurate knowledge of water vapor (WV) is vital for global climate studies. The Global...
Citation