2022
DOI: 10.5194/egusphere-egu22-2430
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The short-term prediction of LOD  introducing atmospheric angular momentum by  1D-Convolutional Neural Networks (1D-CNN )

Abstract: <p>Abstract<br>Knowledge of the Earth orientation parameters (EOP) is essential for numerous practical and scientific applications including, positioning and navigating in space and on Earth.<br>The LOD (length of day), which represents the variation in the Earth's rotation rate, is the most difficult to forecast since it is primarily affected by the torques associated with changes in atmospheric circulation. Therefore, accurate LOD predictions are an ongoing challenge… Show more

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