Results 1 to 10 of about 139 (96)

A Regional Zenith Tropospheric Delay (ZTD) Model Based on GPT3 and ANN [PDF]

Remote Sensing, 2021
The delays of radio signals transmitted by global navigation satellite system (GNSS) satellites and induced by neutral atmosphere, which are usually represented by zenith tropospheric delay (ZTD), are required as critical information both for GNSS positioning and navigation and GNSS meteorology.
Fei Yang, Jiming Guo, Chaoyang Zhang
exaly   +3 more sources

Improving tropospheric corrections on large-scale Sentinel-1 interferograms using a machine learning approach for integration with GNSS-derived zenith total delay (ZTD)

Remote Sensing of Environment, 2020
Sentinel-1 mission with its wide spatial coverage (250 km), short revisit time (6 days), and rapid data dissemination opened new perspectives for large-scale interferometric synthetic aperture radar (InSAR) analysis. However, the spatiotemporal changes in troposphere limits the accuracy of InSAR measurements for operational deformation monitoring at a ...
Roghayeh Shamshiri, , Hossein Nahavandchi   +2 more
exaly   +4 more sources

Assessment of the three representative empirical models for zenith tropospheric delay (ZTD) using the CMONOC data

Geodesy and Geodynamics
The precise correction of atmospheric zenith tropospheric delay (ZTD) is significant for the Global Navigation Satellite System (GNSS) performance regarding positioning accuracy and convergence time. In the past decades, many empirical ZTD models based on whether the gridded or scattered ZTD products have been proposed and widely used in the GNSS ...
Debao Yuan, Yifan Yao
exaly   +3 more sources

Evaluation of the Zenith Tropospheric Delay (ZTD) Derived from VMF3_FC and VMF3_OP Products Based on the CMONOC Data

Atmosphere
Prior tropospheric information, especially zenith tropospheric delay (ZTD), is particularly important in GNSS data processing. The two types of ZTD models, those that require and do not require meteorological parameters, are the most commonly used models, whether the non-difference or double-difference mode is applied.
Fei Yang, Jingge Ma, Wenyu Sun
exaly   +3 more sources

Development and evaluation of the refined zenith tropospheric delay (ZTD) models [PDF]

Satellite Navigation, 2021
AbstractThe tropospheric delay is a significant error source in Global Navigation Satellite System (GNSS) positioning and navigation. It is usually projected into zenith direction by using a mapping function. It is particularly important to establish a model that can provide stable and accurate Zenith Tropospheric Delay (ZTD).
Fei Yang, Xiaolin Meng, Jiming Guo, Debao Yuan, Ming Chen   +4 more
openaire   +2 more sources

Kinematic Zenith Tropospheric Delay Estimation with GNSS PPP in Mountainous Areas [PDF]

Sensors, 2021
Simon Banville, Gérard Lachapelle, Kyle O’Keefe   +2 more
exaly   +2 more sources

Impact analysis of processing strategies for long-term GPS zenith tropospheric delay (ZTD)

Atmospheric Measurement Techniques, 2023
Abstract. Homogenized atmospheric water vapour data are an important prerequisite for climate analysis. Compared with other techniques, GPS has an inherent homogeneity advantage, but it still requires reprocessing and homogenization to eliminate impacts of applied strategy and observation environmental changes where a selection of proper processing ...
Jingna Bai, Yidong Lou, Weixing Zhang, Yaozong Zhou, Zhenyi Zhang, Chuang Shi, Jingnan Liu   +6 more
openaire   +3 more sources

Analysing the Zenith Tropospheric Delay Estimates in On-line Precise Point Positioning (PPP) Services and PPP Software Packages [PDF]

Sensors, 2018
Lawrence Lau, Yu-Ting Tang, Terry Moore   +2 more
exaly   +2 more sources

A Window‐Augmented Machine Learning Approach for Direct GNSS Precipitable Water Vapor Retrieval

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Global Navigation Satellite Systems (GNSS) provide an effective means for remote sensing of precipitable water vapor (PWV). However, conventional GNSS‐based PWV retrieval approaches rely heavily on auxiliary meteorological parameters, which are frequently unavailable in real time, while most direct retrieval methods use station data aggregated
Zhouao Zheng, Haoyu Wang, Liangke Huang, Ziwei Li, Haojun Li, Hongxing Zhang, Junyu Li, Lilong Liu   +7 more
wiley   +1 more source

TOMO4D Operator for Assimilation of GNSS Tomography‐Derived Water Vapor Fields Into the WRFDA 4DVAR System to Improve Regional Rainfall Forecasting

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 4, April 2026.
Abstract Accurate representation of atmospheric water vapor is crucial for improving numerical weather prediction, particularly over regions with complex topography and sparse observation networks. Although assimilation of Global Navigation Satellite System (GNSS)‐derived integrated products such as zenith total delay or precipitable water vapor can ...
Arash Tayfehrostami, Yazdan Amerian, Saeed Izanlou, Majid Azadi   +3 more
wiley   +1 more source