Results 1 to 10 of about 191 (136)

Zenith Wet Delay (ZWD) Seasonal Correlation with Rainfall in Cikapundung River Discharge, North Bandung Region, Indonesia [PDF]

open access: yesE3S Web of Conferences, 2019
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]

open access: yesSensors (Basel), 2023
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]

open access: yesSensors (Basel), 2021
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]

open access: yesSensors (Basel), 2020
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]

open access: yesSensors (Basel)
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]

open access: yesSci Rep
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]

open access: yesJournal of Atmospheric and Solar-Terrestrial Physics, 2023
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]

open access: yesPort Said Engineering Research Journal, 2023
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

Analisis Variasi Temporal-Spasial Nilai Zenith Tropospheric Delay Menggunakan Data CORS di Provinsi Jawa Timur

open access: yesGeoid, 2021
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 Method for Estimating Tropospheric Zenith Wet-Component Delay of GNSS Signals from Surface Meteorology Data

open access: yesRemote Sensing, 2020
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

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