Results 1 to 10 of about 221 (150)

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   +5 more sources

Modeling and Forecasting the GPS Zenith Troposphere Delay in West Antarctica Based on Different Blind Source Separation Methods and Deep Learning [PDF]

Sensors, 2020
Tropospheric delay is an important error source in global positioning systems (GPS), and the water vapor retrieved from the tropospheric delay is widely used in meteorological research such as climate analysis and weather forecasting.
Qingchuan Zhang, Fei Li, Shengkai Zhang, Wenhao Li   +3 more
doaj   +6 more sources

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   +5 more sources

Zenith Tropospheric Delay Forecasting in the European Region Using the Informer–Long Short-Term Memory Networks Hybrid Prediction Model

Atmosphere
Zenith tropospheric delay (ZTD) is a significant atmospheric error that impacts the Global Navigation Satellite System (GNSS). Developing a high-precision, long-term forecasting model for ZTD can provide valuable insights into the overall trends of ...
Zhengdao Yuan, Xu Lin, Yashi Xu, Jie Zhao, Nage Du, Xiaolong Cai, Mengkui Li   +6 more
doaj   +5 more sources

Real-time precise point positioning-based zenith tropospheric delay for precipitation forecasting. [PDF]

Sci Rep, 2018
AbstractGPS-based Zenith Tropospheric Delay (ZTD) estimation should be easily obtained in a cost-effective way, however, the most previous studies focus on post-processed ZTD estimates using satellite orbit and clock products with at least 3–9 hours latency provided by International GNSS Service (IGS), which limits the GNSS meteorological application ...
Zhao Q, Yao Y, Yao W, Li Z.
europepmc   +5 more sources

Forecasting GNSS Zenith Troposphere Delay by Improving GPT3 Model with Machine Learning in Antarctica [PDF]

Atmosphere, 2022
Antarctica has a significant impact on global climate change. However, to draw climate change scenarios, there is a need for meteorological data, such as water vapor content, which is scarce in Antarctica.
Song Li, Tianhe Xu, Yan Xu, Nan Jiang, Luísa Bastos   +4 more
doaj   +3 more sources

Short-Term Forecast of Tropospheric Zenith Wet Delay Based on TimesNet [PDF]

Sensors
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 ...
Xuan Zhao, Shouzhou Gu, Jinzhong Mi, Jianquan Dong, Long Xiao, Bin Chu   +5 more
doaj   +3 more sources

Improved Zenith Tropospheric Delay Modeling Using the Piecewise Model of Atmospheric Refractivity

Remote Sensing, 2020
As one of the atmosphere propagation delays, the tropospheric delay is a significant error source that should be properly handled in high-precision global navigation satellite system (GNSS) applications.
Liu Yang, Jingxiang Gao, Dantong Zhu, Nanshan Zheng, Zengke Li   +4 more
doaj   +4 more sources

A Novel Method for Monitoring Tropical Cyclones’ Movement Using GNSS Zenith Tropospheric Delay

Remote Sensing, 2023
Precipitable water vapor (PWV) is an important meteorological factor for predicting extreme weather events such as tropical cyclones, which can be obtained from zenith tropospheric delay (ZTD) by using a conversion.
Dajun Lian, Qimin He, Li Li, Kefei Zhang, Erjiang Fu, Guangyan Li, Rui Wang, Biqing Gao, Kangming Song   +8 more
doaj   +5 more sources

The VMD-Informer-BiLSTM-EAA Hybrid Model for Predicting Zenith Tropospheric Delay

Remote Sensing
Zenith Tropospheric Delay (ZTD) is a significant source of atmospheric error in the Global Navigation Satellite System (GNSS). Developing a high-accuracy ZTD prediction model is essential for both GNSS positioning and GNSS meteorology.
Zhengdao Yuan, Xu Lin, Yashi Xu, Ruiting Dai, Cong Yang, Lunwei Zhao, Yakun Han   +6 more
doaj   +4 more sources