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

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 betw...

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Bibliographische Detailangaben
1. Verfasser: Mohammed, Jareer
Format: Dataset
Sprache:eng
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Zusammenfassung: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).
DOI:10.17632/hy767fh3rx.2