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
doaj +2 more sources
Reply to: A response to loneliness and suicide mitigation for students using GPT3-enabled chatbots. [PDF]
Npj Ment Health ResMaples B, Cerit M, Vishwanath A, Pea R.
europepmc +2 more sources
High-Precision ZTD Model of Altitude-Related Correction
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Zenith tropospheric delay (ZTD) is one of the main error sources in space geodesy. The existing regional or global models, such as Global Pressure and Temperature 3 (GPT3), Global Tropospheric model, Global Hopfield, and Shanghai Astronomical observatory
Qingzhi Zhao +5 more
doaj +1 more source
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. Global navigation satellite system (GNSS) networks can play a major role in overcoming this problem as the tropospheric delay that can be derived ...
Song Li +4 more
openaire +2 more sources
VMF3/GPT3: refined discrete and empirical troposphere mapping functions [PDF]
Journal of Geodesy, 2017 Incorrect modeling of troposphere delays is one of the major error sources for space geodetic techniques such as Global Navigation Satellite Systems (GNSS) or Very Long Baseline Interferometry (VLBI). Over the years, many approaches have been devised which aim at mapping the delay of radio waves from zenith direction down to the observed elevation ...
Daniel Landskron, Johannes Böhm
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Comparative analysis of blind tropospheric correction models in Ghana
Journal of Geodetic Science, 2021 The impact of the earth’s atmospheric layers, particularly the troposphere on Global Navigation satellite system (GNSS) signals has become a major concern in GNSS accurate positioning, navigation, surveillance and timing applications.
Osah S. +3 more
doaj +1 more source
A New Approach for the Development of Grid Models Calculating Tropospheric Key Parameters over China
Remote Sensing, 2021 Pressure, water vapor pressure, temperature, and weighted mean temperature (Tm) are tropospheric parameters that play an important role in high-precision global navigation satellite system navigation (GNSS).
Ge Zhu +7 more
doaj +1 more source
Refining the ERA5-based global model for vertical adjustment of zenith tropospheric delay
Satellite Navigation, 2022 Tropospheric delay is an important factor affecting high precision Global Navigation Satellite System (GNSS) positioning and also the basic data for GNSS atmospheric research.
Ge Zhu +5 more
doaj +1 more source
SciFix: Outperforming GPT3 on Scientific Factual Error Correction
, 2023 Due to the prohibitively high cost of creating error correction datasets, most Factual Claim Correction methods rely on a powerful verification model to guide the correction process. This leads to a significant drop in performance in domains like scientific claims, where good verification models do not always exist. In this work, we introduce SciFix, a
Ashok, Dhananjay +3 more
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Weighted Mean Temperature Hybrid Models in China Based on Artificial Neural Network Methods
Remote Sensing, 2022 The weighted mean temperature (Tm) is crucial for converting zenith wet delay to precipitable water vapor in global navigation satellite system meteorology.
Meng Cai +6 more
doaj +1 more source