Complete data and Results of Bi-LSTM for ZWD

Published: 22 February 2021| Version 1 | DOI: 10.17632/3jswtm5kzm.1
Contributor:
Jareer Mohammed

Description

These are the full results from "Predicting Sub-daily Zenith Wet Delay using Bidirectional Long Short-Term Memory" for the selected 505 stations. They are divided into: 1- Data for the 505 stations containing the date and the ZWD for each stations during 2019 with six-hour time resolution. 2- Excel file for each stations contains all the statistics 3- Regression figure for each station 4- MSE, RMSE and STD figures for the tested data for each stations. 5- MSE, RMSE and STD figures for the trained data for each stations..

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Categories

Tropospheric Propagation Delays, Deep Neural Network

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