WTM: The Site-Wise Empirical Wuhan University Tropospheric Model
Remote Sensing, 2022 The tropospheric model is the key model in space geodetic techniques such as Global Navigation Satellite Systems (GNSS) and Very Long Baseline Interferometry (VLBI).
Yaozong Zhou +5 more
doaj +1 more source
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model [PDF]
arXiv.org, 2022 In this work, we demonstrate that multilingual large-scale sequence-to-sequence (seq2seq) models, pre-trained on a mixture of denoising and Causal Language Modeling (CLM) tasks, are more efficient few-shot learners than decoder-only models on various ...
Saleh Soltan +15 more
semanticscholar +1 more source
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 +1 more source
Satellite Navigation, 2023 Tropospheric delay is a major error caused by atmospheric refraction in Global Navigation Satellite System (GNSS) positioning. The study evaluates the potential of the European Centre for Medium-range Weather Forecast (ECMWF) Reanalysis 5 (ERA5 ...
Ifechukwu Ugochukwu Nzelibe +2 more
doaj +1 more source
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
A hybrid-grid global model for the estimation of atmospheric weighted mean temperature considering time-varying vertical adjustment rate in GNSS precipitable water vapour retrieval [PDF]
Geoscientific Model DevelopmentThe atmospheric weighted mean temperature (Tm) is a key parameter in global navigation satellite system (GNSS) water vapour retrieval and can convert the zenith wet delay (ZWD) into precipitable water vapour (PWV). However, there are some shortcomings in
S. Xie +6 more
doaj +1 more source
A global grid model for the estimation of zenith tropospheric delay considering the variations at different altitudes [PDF]
Geoscientific Model Development, 2023 The accuracy of tropospheric delay correction heavily depends on the quality of the tropospheric model, and the zenith tropospheric delay (ZTD) is an important factor affecting the tropospheric delay. Therefore, it is essential to establish a precise ZTD
L. Huang +10 more
doaj +1 more source
NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Norms, which are culturally accepted guidelines for behaviours, can be integrated into conversational models to generate utterances that are appropriate for the socio-cultural context.
Farhad Moghimifar +4 more
semanticscholar +1 more source
The effect of data sources on calculating mean temperature and integrated water vapor in Iran
Meteorological Applications, 2023 The weighted mean temperature (Tm) plays a crucial role in calculating Precipitable Water Vapor (PWV) and integrated water vapor (IWV) using Global Navigation Satellite Systems (GNSS) techniques.
Hassan Rahimi +2 more
doaj +1 more source
Geodesy and GeodynamicsThe pressure and temperature significantly influence precipitable water vapor (PWV) retrieval. Global Navigation Satellite System (GNSS) PWV retrieval is limited because the GNSS stations lack meteorological sensors.
Weifeng Yang +4 more
doaj +1 more source