Results 11 to 20 of about 122 (119)
Deep Neural Networks for Refining Vertical Modeling of Global Tropospheric Delay
Kinematic airborne platforms are becoming increasingly vital for Earth observation. They highlight the critical need for accurate tropospheric delay corrections across varying altitudes, especially as most existing models are limited to Earth's surface ...
Peng Yuan +9 more
doaj +2 more sources
Tropospheric delay is a major error caused by atmospheric refraction in Global Navigation Satellite System (GNSS) positioning. The study evaluates the potential of the European Centre for Medium-range Weather Forecast (ECMWF) Reanalysis 5 (ERA5 ...
Ifechukwu Ugochukwu Nzelibe +2 more
doaj +1 more source
GNSS Precipitable Water Vapor Retrieval With the Aid of NWM Data for China
Global Navigation Satellite System (GNSS) has become a powerful tool for sensing precipitable water vapor (PWV), which is important in investigating long‐term climate or nowcasting.
Liangke Huang +7 more
doaj +1 more source
An enhanced integrated water vapour dataset from more than 10 000 global ground-based GPS stations in 2020 [PDF]
We developed a high-quality global integrated water vapour (IWV) dataset from 12 552 ground-based global positioning system (GPS) stations in 2020. It consists of 5 min GPS IWV estimates with a total number of 1 093 591 492 data points.
P. Yuan +10 more
doaj +1 more source
Tropospheric delay performance for GNSS integrated water vapor estimation by using GPT2w model, ECMWF's IFS operational model and in situ meteorological data [PDF]
Tropospheric delay comprises one of the most important error sources in satellite navigation and is caused when radio signals broadcasted by GPS satellites propagate into the atmosphere.
C. Oikonomou +10 more
doaj +1 more source
For the timely retrieval of global positioning system based precipitable water vapor (GPS-PWV) over complex topography when there is no in situ pressure-derived zenith hydrostatic delays (ZHDs), this article evaluates three types of ready-made ZHD ...
Hongxing Zhang +4 more
doaj +1 more source
Troposphere Sensing Using Grazing‐Angle GNSS‐R Measurement From LEO Satellites
Abstract This paper studies a new concept of using global navigation satellite system (GNSS) signals coherently reflected over relatively smooth ocean and ice surfaces from very low elevation angles (below ∼8°) and received by low Earth orbit (LEO) satellites to retrieve the tropospheric information.
Yang Wang
wiley +1 more source
Development of a New Tabular Zenith Tropospheric Delay Model for Real-Time GNSS Applications
The tropospheric delay is a major error source for Global Navigation Satellite System (GNSS) positioning and navigation, and usually can be corrected by using an empirical model.
Jian Mao, Junyang Han, Tiejun Cui
doaj +1 more source
PWV Retrieval Performance Evaluation for the Fresh BDS‐3 With Multisource Data
Abstract The entire global operation of the newly launched BDS global navigation satellite system (BDS‐3) was completed in July 2020. After that, a series of performance tests were conducted, such as positioning, navigation, and signal experiments. However, the precipitable water vapor (PWV) retrieval performance evaluation of BDS‐3 has not yet been ...
Nan Jiang +6 more
wiley +1 more source
HGPT2: An ERA5-Based Global Model to Estimate Relative Humidity
The neutral atmospheric delay is one of the major error sources in Space Geodesy techniques such as Global Navigation Satellite Systems (GNSS), and its modeling for high accuracy applications can be challenging.
Pedro Mateus +2 more
doaj +1 more source

