Artificial Neural Network for Predicting Global Sub-Daily Tropospheric Wet Delay
Mohammed, Jareer
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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Publication Details
Subfield
Artificial Intelligence
Field
Computer Science
Domain
Physical Sciences
Confidence Score
43%
Source
Scholar Data Model
Keywords
Artificial Neural NetworksTropospheric Propagation Delays