Results 21 to 30 of about 1,516 (192)
Assimilation of GPS ZTD in meteorological models by 3D Var
, 2018 The purpose of the data assimilation is to optimally use all the available information, to determine as accurately as possible the state of the atmosphere. We show the assimilation of the GPS-ZTD (Global Positioning System - Zenith Total Delay) by a 3D-Var data assimilation system that can be used in cycling mode with the Regional Atmospheric Modeling ...
A. Mascitelli +4 more
core +7 more sources
Investigation of shipborne GNSS ZTD retrieval processing parameters by simulation
, 2022 <div> <p><span>The aim of this work is to study the impact of the processing parameterization on the estimation of the zenith total delay (ZTD) from a shipborne GNSS antenna measurement.</span></p> <p><span>For this purpose, we used a simplified ...
Aurélie Panetier +2 more
openaire +2 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 In recent years, precipitable water vapor has been widely used in heavy precipitation prediction, which is obtained from a conversion of the zenith total delay (ZTD) of the GNSS signal.
Haobo Li +8 more
doaj +2 more sources
EFFECTS OF OCEAN TIDE MODELS ON GNSS-ESTIMATED ZTD AND PWV IN TURKEY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Global Navigation Satellite System (GNSS) observations can precisely estimate the total zenith tropospheric delay (ZTD) and precipitable water vapour (PWV) for weather prediction and atmospheric research as a continuous and all-weather technique. However,
G. Gurbuz, S. Jin, C. Mekik
doaj +2 more sources
The impact of GNSS multipath errors on ZTD estimates based on PPP
, 2022 <p>Multipath is a large systematic GNSS error source which can bias the Zenith Total Delay (ZTD) estimation of Precise Point Positioning (PPP). In this paper, we explore the magnitudes and systematics of the errors caused by multipath in ZTD estimates.
Shengping He +2 more
openaire +3 more sources
Mesoscale GPS Zenith Delay assimilation during a Mediterranean heavy precipitation event [PDF]
Advances in Geosciences, 2008 The impact of assimilating Zenith Total delay (ZTD) observations from a mesoscale ground-based GPS network over Western Europe is evaluated for the heavy precipitation event of 5–9 September 2005 over Southern France.
X. Yan +4 more
doaj +2 more sources
Remote SensingUtilizing real-time precise point positioning (PPP) technology is an effective approach for obtaining high-precision zenith tropospheric delay (ZTD). Without relying on the terrestrial internet, Galileo high accuracy service (HAS) can provide precise ...
Xin Chen +4 more
doaj +2 more sources
Assessment of ZTD Derived from COSMIC Occultation Data with ECWMF, Radiosondes, and GNSS. [PDF]
Sensors (Basel), 2022 Global Navigation Satellite System (GNSS) signals generate slant tropospheric delays when they pass through the atmosphere, which is recognized as the main source of error in many spatial geodetic applications. The zenith tropospheric delay (ZTD) derived from radio occultation data is of great significance to atmospheric research and meteorology and ...
Fu N +8 more
europepmc +5 more sources
TransXLT: A novel ZTD prediction method with SASR-based data reconstruction. [PDF]
iScienceTraditional Zenith Tropospheric Delay (ZTD) models often face difficulties in maintaining prediction accuracy under complex meteorological conditions and data loss. To address this, we propose the transformer-xLSTM (TransXLT) model, which integrates spatial-temporal information from global navigation satellite system (GNSS) stations, ERA5 (global ...
Shicheng Xie +7 more
europepmc +4 more sources
Cross-comparison of meteorological parameters and ZTD observations supplied by microwave radiometers, radiosondes, and GNSS services [PDF]
, 2021 Water vapour radiometers (WVR) provide information about temperature and humidity in the troposphere, with high temporal resolution when compared to the radiosonde (RS) observations.
Tondaś, Damian +2 more
core +1 more source