Regional Zenith Tropospheric Delay Modeling Based on Least Squares Support Vector Machine Using GNSS and <i>ERA5</i> Data

Regional Zenith Tropospheric Delay Modeling Based on Least Squares Support Vector Machine Using GNSS and <i>ERA5</i> Data

The meteorological reanalysis data has been widely applied to derive zenith tropospheric delay (<i>ZTD</i>) with a high spatial and temporal resolution. With the rapid development of artificial intelligence, machine learning also begins as a high-efficiency tool to be employed in modelin...

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Bibliographic Details
Main Authors: Song Li, Tianhe Xu, Nan Jiang, Honglei Yang, Shuaimin Wang, Zhen Zhang
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
zenith tropospheric delay (<i>ZTD</i>)
least squares support vector machine (LSSVM)
European Center for Medium-Range Weather Forecasts Reanalysis 5 (<i>ERA5</i>)
Global Navigation Satellite System (GNSS)
Online Access:https://www.mdpi.com/2072-4292/13/5/1004

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