Results 11 to 20 of about 200 (130)

Deep Neural Networks for Refining Vertical Modeling of Global Tropospheric Delay

Geophysical Research Letters
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, Kyriakos Balidakis, Jungang Wang, Pengfei Xia, Jian Wang, Mingyuan Zhang, Weiping Jiang, Harald Schuh, Jens Wickert, Zhiguo Deng   +9 more
doaj   +2 more sources

A zenith wet delay improved model in China based on GPT3 and random forest

Geodesy and Geodynamics
Zenith wet delay (ZWD) is a key parameter for the precise positioning of global navigation satellite systems (GNSS) and occupies a central role in meteorological research.
Shaoni Chen, Chunhua Jiang, Xiang Gao, Huizhong Zhu, Shuaimin Wang, Guangsheng Liu   +5 more
doaj   +3 more sources

Using GNSS Observations for Tropospheric Delay Prediction Using Artificial Intelligence [PDF]

Port 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

A Hybrid Deep Learning Algorithm for Tropospheric Zenith Wet Delay Modeling with the Spatiotemporal Variation Considered

Atmosphere
The tropospheric Zenith Wet Delay (ZWD) is one of the primary sources of error in Global Navigation Satellite Systems (GNSS). Precise ZWD modeling is essential for GNSS positioning and Precipitable Water Vapor (PWV) retrieval.
Yin Wu, Lu Huang, Wei Feng, Su Tian
doaj   +3 more sources

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

Geoid, 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, Eko Yuli Handoko   +1 more
doaj   +1 more source

A Regional Model for Predicting Tropospheric Delay and Weighted Mean Temperature in China Based on GRAPES_MESO Forecasting Products

Remote Sensing, 2021
Accurate tropospheric delay (TD) and weighted mean temperature (Tm) are important for Global Navigation Satellite System (GNSS) positioning and GNSS meteorology.
Liying Cao, Bao Zhang, Junyu Li, Yibin Yao, Lilong Liu, Qishun Ran, Zhaohui Xiong   +6 more
doaj   +1 more source

Assessment of GNSS zenith tropospheric delay responses to atmospheric variables derived from ERA5 data over Nigeria

Satellite Navigation, 2023
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, Herbert Tata, Timothy Oluwadare Idowu   +2 more
doaj   +1 more source

An empirical zenith wet delay correction model using piecewise height functions [PDF]

Annales Geophysicae, 2018
Tropospheric delay is an important error source in space geodetic techniques. The temporal and spatial variations of the zenith wet delay (ZWD) are very large and thus limit the accuracy of tropospheric delay modelling.
Y. Yao, Y. Yao, Y. Yao, Y. Hu, Y. Hu
doaj   +1 more source

GNSS Meteorology for Disastrous Rainfalls in 2017–2019 Summer in SW Japan: A New Approach Utilizing Atmospheric Delay Gradients

Frontiers in Earth Science, 2020
We studied disastrous heavy rainfall episodes in 2017–2019 summer in SW Japan, especially in the Kyushu region using tropospheric delay data from the Japanese dense global navigation satellite system (GNSS) network GEONET (GNSS Earth Observation Network).
Syachrul Arief, Syachrul Arief, Kosuke Heki   +2 more
doaj   +1 more source

KORELASI MUSIMAN ANTARA ZENITH WET DELAY (ZWD) DAN DEBIT SUNGAI DI DAS CIKAPUNDUNG HULU, KAWASAN BANDUNG UTARA, JAWA BARAT

Seminar Nasional Geomatika, 2019
Kandungan total uap air troposfer (precipitable water vapor) di suatu tempat dapat diestimasi berdasarkan karakteristik bias gelombang elektromagnetik dari satelit navigasi GPS, berupa zenith wet delay (ZWD). Pola musiman deret waktu ZWD sangat penting dalam studi siklus hidrologi khususnya yang terkait dengan kejadian-kejadian banjir.
Wedyanto Kuntjoro, Z.A.J. Tanuwijaya, A. Pramansyah, Dudy D. Wijaya   +3 more
openaire   +1 more source