Results 1 to 10 of about 494 (132)
Short-Term Forecast of Tropospheric Zenith Wet Delay Based on TimesNet [PDF]
SensorsThe 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 +5 more
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Assessment and Validation of Small-Scale Tropospheric Delay Estimations Based on NWP Data [PDF]
SensorsThis paper investigates the applicability of the Numerical Weather Prediction (NWP) data for characterizing the gradient of zenith wet delay in horizontal direction observed on short baselines over larger territories.
Jan Erik Håkegård +3 more
doaj +2 more sources
Remote Sensing, 2020 A new concept is proposed for estimating the zenith wet delay (ZWD) and atmospheric weighted average temperature by inputting the temperature, total pressure, and specific humidity from surface weather data.
Pengfei Xia +3 more
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Machine Learning-Based Calibrated Model for Forecast Vienna Mapping Function 3 Zenith Wet Delay
Remote Sensing, 2023 An accurate estimation of zenith wet delay (ZWD) is crucial for global navigation satellite system (GNSS) positioning and GNSS-based precipitable water vapor (PWV) inversion. The forecast Vienna Mapping Function 3 (VMF3-FC) is a forecast product provided
Feijuan Li +5 more
doaj +3 more sources
Remote Sensing, 2019 The Benchmark data set collected within the European COST Action ES1206 has aimed to support the development and validation of advanced Global Navigation Satellite System (GNSS) tropospheric products, in particular high-resolution zenith delays and ...
Florian Zus +6 more
doaj +3 more sources
A zenith wet delay improved model in China based on GPT3 and random forest
Geodesy and GeodynamicsZenith 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 +5 more
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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
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Remote Sensing, 2021 In GNSS analysis, the tropospheric delay is parameterized by applying mapping functions (MFs), zenith delays, and tropospheric gradients. Thereby, the wet and hydrostatic MF are derived under the assumption of a spherically layered atmosphere.
Florian Zus +4 more
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Zenith Wet Delay (ZWD) Seasonal Correlation with Rainfall in Cikapundung River Discharge, North Bandung Region, Indonesia [PDF]
E3S Web of Conferences, 2019 In a GPS survey study, the biases produced by the ionosphere and troposphere layers are known as ionospheric biases and troposphere bias. The distance deviation due to the slowing travel time of GPS signals in troposphere is commonly referred to as ...
Kuntjoro Wedyanto +4 more
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An ERA5-Based Hourly Global Pressure and Temperature (HGPT) Model
Remote Sensing, 2020 The Global Navigation Satellite System (GNSS) meteorology contribution to the comprehension of the Earth’s atmosphere’s global and regional variations is essential.
Pedro Mateus +3 more
doaj +1 more source