Artificial Neural Network for Predicting Global Sub-Daily Tropospheric Wet Delay

Published: 29 January 2021| Version 2 | DOI: 10.17632/hy767fh3rx.2
Contributor:
Jareer Mohammed

Description

These are the full results from "Artificial Neural Network for Predicting global sub-daily Tropospheric Wet Delay" for the selected 505 stations. They are divided into: 1- Raw time series of the 505 stations for (ZWD, Pressure, Temperature and Integrated Water Vapour). 2- The R values between the actual and the predicted ZWD. 3- The Predicted and actual ZWD. 4- The difference between the actual and predicted ZWD. 5- the inputs files for the ANN processing (the time series in dat format).

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