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BaHaMAs: a method for uncertainty quantification in geodetic time series and its application in short-term prediction of length of day

Published Online: 2024-10-04

Authors

Kiani Shahvandi, Mostafa https://orcid.org/0000-0001-5705-7014
Mishra, Siddhartha

Soja, Benedikt
Funding

Funding for this research was provided by:

Swiss Federal Institute of Technology Zurich
License Information

Text and Data Mining valid from 2024-10-04

Version of Record valid from 2024-10-04
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Article History

Received: 12 April 2024

Accepted: 4 September 2024

First Online: 4 October 2024

Declarations

:

: The authors declare that they do not have Conflict of interest.

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