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...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Sonia Guessoum, Santiago Belda, Jose M. Ferrandiz, Sadegh Modiri, Shrishail Raut, Sujata Dhar, Robert Heinkelmann, Harald Schuh
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2022-12-01
סדרה:	Sensors
נושאים:	one-dimensional convolutional neural networks 1D CNN length of day atmospheric angular momentum AAM function prediction
גישה מקוונת:	https://www.mdpi.com/1424-8220/22/23/9517
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!