Zenith Wet Delay (ZWD) Seasonal Correlation with Rainfall in Cikapundung River Discharge, North Bandung Region, Indonesia [PDF]
In a GPS survey study, the biases produced by the ionosphere and troposphere layers are known as ionospheric biases and troposphere bias. The distance deviation due to the slowing travel time of GPS signals in troposphere is commonly referred to as ...
Kuntjoro Wedyanto +4 more
doaj +2 more sources
Sensitivity of Shipborne GNSS Estimates to Processing Modeling Based on Simulated Dataset. [PDF]
The atmospheric water vapor is commonly monitored from ground Global Navigation Satellite System (GNSS) measurements, by retrieving the tropospheric delay under the Zenith Wet Delay (ZWD) component, linked to the water vapor content in the atmosphere. In
Panetier A, Bosser P, Khenchaf A.
europepmc +2 more sources
Kinematic Zenith Tropospheric Delay Estimation with GNSS PPP in Mountainous Areas. [PDF]
The use of global navigation satellite systems (GNSS) precise point positioning (PPP) to estimate zenith tropospheric delay (ZTD) profiles in kinematic vehicular mode in mountainous areas is investigated.
Gratton P +3 more
europepmc +2 more sources
Evaluation of the ZWD/ZTD Values Derived from MERRA-2 Global Reanalysis Products Using GNSS Observations and Radiosonde Data. [PDF]
Tropospheric delay is one of the main errors affecting high-precision positioning and navigation and is a key parameter of water vapor detection in the Global Navigation Satellite System (GNSS).
Huang L +5 more
europepmc +2 more sources
Short-Term Forecast of Tropospheric Zenith Wet Delay Based on TimesNet. [PDF]
The tropospheric zenith wet delay (ZWD) serves as a pivotal parameter for atmospheric water vapour inversion. By converting it into precipitable water vapour, high-temporal-resolution atmospheric humidity monitoring becomes feasible, providing crucial ...
Zhao X +5 more
europepmc +2 more sources
Monitoring water vapor transport in near real-time with low-cost GNSS receiver network. [PDF]
Water vapor plays a vital role in weather variations, making it essential to monitor atmospheric water vapor content for reliable weather forecasts.
Wu J, Ma H, Wu W, Cheng D.
europepmc +2 more sources
Developing Iran's empirical zenith wet delay model (IR-ZWD) [PDF]
The presence of water vapor in the lower atmosphere can introduce errors in satellite-based geodetic observations. Accurate modeling of this part of atmospheric delay is particularly challenging due to the considerable variations of water vapor. Therefore, constructing a reasonable model to predict Zenith Wet Delay (ZWD) can improve the accuracy of ...
Masoud Dehvari +2 more
openaire +1 more source
Using GNSS Observations for Tropospheric Delay Prediction Using Artificial Intelligence [PDF]
GNSS technology holds significant importance across wide applications, ranging from mapping, surveying, and precise timekeeping to ship navigation. Its operational principle hinges on the accurate measurement of signal travel time, which is crucial for ...
Ahmed Sedeek
doaj +1 more source
Global Navigation Satellite System (GNSS) semakin dikembangkan sebagai sistem penginderaan jauh atmosfer, salah satunya melalui perhitungan Zenith Tropospheric Delay (ZTD).
Norma Aji Cemara Mannani +1 more
doaj +1 more source
A new concept is proposed for estimating the zenith wet delay (ZWD) and atmospheric weighted average temperature by inputting the temperature, total pressure, and specific humidity from surface weather data.
Pengfei Xia +3 more
doaj +1 more source

