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AFRC-Trop: New Real-Time Zenith Tropospheric Delay Model over Africa
Journal of Surveying Engineering, 2021AbstractThis study aims to develop a new real-time zenith tropospheric delay (ZTD) model over Africa, namely the AFRC-Trop model.
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Application of ANFIS model for prediction of zenith tropospheric delay
2013 3rd International Conference on Instrumentation, Communications, Information Technology and Biomedical Engineering (ICICI-BME), 2013Tropospheric delay plays a crucial role in meteorological studies and weather forecasts as well as positioning accuracy. GPS derived zenith tropospheric delay (ZTD) has been established two decades ago. However, the main problem that still present is not all strategic points around the world will have a GPS receiver. To solve this shortcoming, a neural
Wayan Suparta, Kemal Maulana Alhasa
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Zenith Tropospheric Delay from GPS Monitoring Climate Change of Chinese Mainland
2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing, 2008We present results on long-term trends of precipitable water vapor over the Chinese mainland based on data from the crust monitor observation network of China (CMONOC), obtained during the period from 2002 to 2004. The correlation between GPS zenith tropospheric delay (ZTD) and radiosonde PWV amounts to 0.89, indicating that the variety of tropospheric
Wang Yong +3 more
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Comparison of Tropospheric Zenith Wet Delay from VLBI and GNSS Estimations
2021<p>Tropospheric delay is one of the major error sources for space geodetic techniques such as Very Long Baseline Interferometry (VLBI) and Global Navigation Satellite System (GNSS). In this study, we compared the agreement of tropospheric zenith wet delay (ZWD) seasonal variations derived from VLBI and GNSS observations at 8 stations that
Vicky Jia Liu +2 more
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Prediction of Zenith Tropospheric Delay Based on BP Neural Network
2012This paper used improved Levenberg-Marquart BP neural network technology to predict GPS tropospheric delay with the data of Beijing GPS data and meteorological data, which the input parameters are either space position (longitude, latitude, elevation) or space position, temperature, pressure.
Yong Wang, Lihui Zhang, Jing Yang
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Research on regional zenith tropospheric delay based on neural network technology
Survey Review, 2014Tropospheric delay is a primary error source in earth observations and a variety of radio navigation technologies. However, the main problem still present is that not all strategic points around the world will have a GPS receiver. To overcome the shortcoming, a Fusion model was proposed to compensate for errors in prediction of zenith tropospheric ...
D. Y. Zheng +3 more
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Global model of zenith tropospheric delay proposed based on EOF analysis
Advances in Space Research, 2017Abstract Tropospheric delay is one of the main error budgets in Global Navigation Satellite System (GNSS) measurements. Many empirical correction models have been developed to compensate this delay, and models which do not require meteorological parameters have received the most attention.
Langlang Sun +3 more
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Regional spatio-temporal zenith tropospheric delay modelling using independent component analysis
Survey Review, 2018Accurate modelling of the zenith tropospheric delay (ZTD) is of significant value in many applications such as Global Navigation Satellite System (GNSS) positioning.
Wujiao Dai +3 more
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A Zenith Tropospheric Delay Interpolation Method Considering Elevation
2023 3rd International Conference on Electrical Engineering and Control Science (IC2ECS), 2023Zhuoya Liu +4 more
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Model of mapping function for the calculation of zenith tropospheric delay
2013 International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, 2013Today the global navigation satellite system (GNSS) are widely used in various fields related to the precise locations of consumers. High demand for these systems and the diversity of their use is a prerequisite for a detailed consideration of issues to increase their accuracy.
V.I. Lutsenko +4 more
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