The Short-Term Prediction of Length of Day Using 1D Convolutional Neural Networks (1D CNN)

The Short-Term Prediction of Length of Day Using 1D Convolutional Neural Networks (1D CNN)

Accurate Earth orientation parameter (EOP) predictions are needed for many applications, e.g., for the tracking and navigation of interplanetary spacecraft missions. One of the most difficult parameters to forecast is the length of day (LOD), which represents the variation in the Earth’s rotation ra...

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Bibliographic Details
Main Authors: Sonia Guessoum, Santiago Belda, Jose M. Ferrandiz, Sadegh Modiri, Shrishail Raut, Sujata Dhar, Robert Heinkelmann, Harald Schuh
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
one-dimensional convolutional neural networks
1D CNN
length of day
atmospheric angular momentum
AAM function
prediction
Online Access:https://www.mdpi.com/1424-8220/22/23/9517

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