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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Главные авторы:	Sonia Guessoum, Santiago Belda, Jose M. Ferrandiz, Sadegh Modiri, Shrishail Raut, Sujata Dhar, Robert Heinkelmann, Harald Schuh
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2022-12-01
Серии:	Sensors
Предметы:	one-dimensional convolutional neural networks 1D CNN length of day atmospheric angular momentum AAM function prediction
Online-ссылка:	https://www.mdpi.com/1424-8220/22/23/9517
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