Academic Journal
Using GNSS Observations for Tropospheric Delay Prediction Using Artificial Intelligence
| العنوان: | Using GNSS Observations for Tropospheric Delay Prediction Using Artificial Intelligence |
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| المؤلفون: | Ahmed Sedeek |
| المصدر: | Port Said Engineering Research Journal, Vol 27, Iss 4, Pp 34-39 (2023) |
| بيانات النشر: | Port Said University, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Engineering (General). Civil engineering (General) |
| مصطلحات موضوعية: | atmosphere, gnss, precise point positioning, troposphere, Engineering (General). Civil engineering (General), TA1-2040 |
| الوصف: | 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 determining the distance between the GNSS satellite and the receiving device. However, the precision of GNSS positioning is often compromised due to various error sources that impact GNSS measurements. Among these sources, atmospheric effects are widely acknowledged as the primary contributors to spatially correlated inaccuracies in GNSS (Global Navigation Satellite System) measurements. The accuracy of zenith tropospheric delay (ZTD) and zenith wet delay (ZWD) prediction using an artificial neural network model was successfully demonstrated in this study. By combining data from GNSS observations and in-situ meteorological measurements, high-resolution water vapour data can be produced for reliable and accurate weather forecasting. The validation of the predictions revealed a mean standard deviation error of 5 mm and 3.6 mm for ZTD and ZWD, respectively. This study emphasizes the significance of estimating tropospheric wet delay in real-time weather forecasting applications. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1110-6603 2536-9377 |
| Relation: | https://pserj.journals.ekb.eg/article_323834_05d20538048e80a606adda7f20486cb9.pdf; https://doaj.org/toc/1110-6603; https://doaj.org/toc/2536-9377 |
| DOI: | 10.21608/pserj.2023.242830.1270 |
| URL الوصول: | https://doaj.org/article/579b361571094b28af3ebd72ab3b7385 |
| رقم الانضمام: | edsdoj.579b361571094b28af3ebd72ab3b7385 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 11106603 25369377 |
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| DOI: | 10.21608/pserj.2023.242830.1270 |