Results 31 to 40 of about 428 (156)
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
A new zenith hydrostatic delay model for real-time retrievals of GNSS-PWV [PDF]
Atmospheric Measurement Techniques, 2021 The quality of the zenith hydrostatic delay (ZHD) could significantly affect the accuracy of the zenith wet delay (ZWD) of the Global Navigation Satellite System (GNSS) signal, and from the ZWD precipitable water vapor (PWV) can be obtained.
L. Li +17 more
doaj +1 more source
Development of a New Tabular Zenith Tropospheric Delay Model for Real-Time GNSS Applications
IEEE Access, 2021 The tropospheric delay is a major error source for Global Navigation Satellite System (GNSS) positioning and navigation, and usually can be corrected by using an empirical model.
Jian Mao, Junyang Han, Tiejun Cui
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
Discover Artificial Intelligence, 2023 Occupation coding is the classification of information on occupation that is collected in the context of demographic variables. Occupation coding is an important, but a tedious task for researchers in social science and official statistics that calls for
Parisa Safikhani +3 more
doaj +1 more source
GPT3 as a Portuguese Lexical Knowledge Base?
, 2023 We test the GPT3 language model in zero- and few-shot acquisition of lexico-semantic knowl- edge in Portuguese, with simple instruction prompts, and compare it with a BERT-based approach. Results are assessed in two test sets: TALES and the Portuguese translation of BATS. GPT3 outperforms BERT in all relations, with the few-shot approach being the best
openaire +2 more sources
A precipitation forecast model applied with the RBF based on the improved GPT3 model in Japan
, 2023 Abstract Accurate monitoring of atmospheric water vapor content is essential for the early warning of extreme weather events. As known, GNSS zenith troposphere delay (GNSS_ZTD) is an indispensable data source for retrieving precipitable water vapor (PWV).
li song +7 more
openaire +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
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