Results 21 to 30 of about 5,886 (223)

A New PatchTST-ZTD Forecasting Model Based on Different Global Climates and Its Performance in PPP

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Accurate modeling of zenith tropospheric delay (ZTD) is crucial for real-time high-precision positioning in global navigation satellite systems (GNSS). Deep learning methods are capable of effectively capturing the complex temporal patterns of ZTD time ...
Zhiping Chen, Hao Lu, Chiming Xu, Tao Liu, Haifeng Liu, Yu Gao, Haijun Yuan, Puhao Xu, Haiqing He, Kaiyun Lv   +9 more
doaj   +2 more sources

A New Four-Layer Inverse Scale Height Grid Model of China for Zenith Tropospheric Delay Correction

IEEE Access, 2020
To reduce the convergence time in the real-time precise point positioning (PPP), the zenith tropospheric delay (ZTD) needs to be modeled with high accuracy and sent to the users to be introduced as a priori value. Because of the height difference between
Shaotian Zhang, Xiaoming Wang, Zishen Li, Cong Qiu, Jinglei Zhang, Haobo Li, Li Li   +6 more
doaj   +1 more source

Evaluation of Zenith Tropospheric Delay Derived from ERA5 Data over China Using GNSS Observations

Remote Sensing, 2020
The latest reanalysis of the European Center for Medium-Range Weather Forecasts (ECMWF), ERA5, can provide atmospheric data for calculating Zenith Tropospheric Delay (ZTD) with hourly temporal resolution, which is a key factor in Global Navigation ...
Chunhua Jiang, Tianhe Xu, Shuaimin Wang, Wenfeng Nie, Zhangzhen Sun   +4 more
doaj   +1 more source

A Tropospheric Zenith Delay Forecasting Model Based on a Long Short-Term Memory Neural Network and Its Impact on Precise Point Positioning

Remote Sensing, 2022
Global navigation satellite system (GNSS) signals are affected by refraction when traveling through the troposphere, which result in tropospheric delay. Generally, the tropospheric delay is estimated as an unknown parameter in GNSS data processing.
Huan Zhang, Yibin Yao, Mingxian Hu, Chaoqian Xu, Xiaoning Su, Defu Che, Wenjie Peng   +6 more
doaj   +1 more source

Transformer-Based Global Zenith Tropospheric Delay Forecasting Model

Remote Sensing, 2022
Zenith tropospheric delay (ZTD) plays an important role in high-precision global navigation satellite system (GNSS) positioning and meteorology. At present, commonly used ZTD forecasting models comprise empirical, meteorological parameter, and neural ...
Huan Zhang, Yibin Yao, Chaoqian Xu, Wei Xu, Junbo Shi   +4 more
doaj   +1 more source

Kinematic ZTD Estimation from Train-Borne Single-Frequency GNSS: Validation and Assimilation [PDF]

Remote Sensing, 2021
Water vapour is one of the most important parameters utilized for the description of state and evolution of the Earth’s atmosphere. It is the most effective greenhouse gas and shows high variability, both in space and time. Thus, detailed knowledge of its distribution is of immense importance for weather forecasting, and therefore high resolution ...
Matthias Aichinger-Rosenberger, Robert Weber, Natalia Hanna   +2 more
openaire   +3 more sources

A Refined Zenith Tropospheric Delay Model Based on a Generalized Regression Neural Network and the GPT3 Model in Europe

Atmosphere, 2023
An accurate model of the Zenith Tropospheric Delay (ZTD) plays a crucial role in Global Navigation Satellite System (GNSS) precise positioning, water vapor retrieval, and meteorological research. Current empirical models (such as the GPT3 model) can only
Min Wei, Xuexiang Yu, Fuyang Ke, Xiangxiang He, Keli Xu   +4 more
doaj   +1 more source

High Conversion Efficiency in Intrinsic High Power-Density Mg₂Sn-GeTe Thermoelectric Generator. [PDF]

Adv Sci (Weinh)
First Mg2Sn–GeTe thermoelectric generator achieves 9% efficiency by strategically modulating power factor–thermal conductivity interplay in intrinsically high‐power‐density system. Abstract Thermoelectric generators (TEGs) offer a sustainable solution for thermal energy harvesting, where maximizing energy output necessitates achieving both high power ...
Wu X, Wang L, Li A, Wu G, Hu Z, Yun FF, Mori T.   +6 more
europepmc   +2 more sources

The Impact of Different Ocean Tide Loading Models on GNSS Estimated Zenith Tropospheric Delay Using Precise Point Positioning Technique

Remote Sensing, 2020
Global navigation satellite systems (GNSSs) have become an important tool to derive atmospheric products, such as the total zenith tropospheric delay (ZTD) and precipitable water vapor (PWV) for weather and climate studies.
Jinglei Zhang, Xiaoming Wang, Zishen Li, Shuhui Li, Cong Qiu, Haobo Li, Shaotian Zhang, Li Li   +7 more
doaj   +1 more source

Retrieving Precipitable Water Vapor From Shipborne Multi‐GNSS Observations [PDF]

, 2019
©2019. American Geophysical UnionPrecipitable water vapor (PWV) is an important parameter for climate research and a crucial factor to achieve high accuracy in satellite geodesy and satellite altimetry. Currently Global Navigation Satellite System (GNSS)
Ge, Maorong, Gerland, Sebastian, Ramatschi, Markus, Schuh, Harald, Semmling, Maximilian, Wang, Jungang, Wickert, Jens, Wu, Zhilu, Zus, Florian   +8 more
core   +1 more source