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  Investigating the relationship between Length of Day and El-Nino using wavelet coherence method

Raut, S., Modiri, S., Heinkelmann, R., Balidakis, K., Belda, S., Kitpracha, C., Schuh, H. (2023): Investigating the relationship between Length of Day and El-Nino using wavelet coherence method. - In: Freymueller, J. T., Sánchez, L. (Eds.), Geodesy for a Sustainable Earth, (International Association of Geodesy Symposia ; 154), Cham : Springer, 253-258.
https://doi.org/10.1007/1345_2022_167

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 Creators:
Raut, Shrishail1, Author              
Modiri, Sadegh2, Author              
Heinkelmann, R.1, Author              
Balidakis, K.3, Author              
Belda, S.4, Author
Kitpracha, Chaiyaporn1, Author              
Schuh, H.1, Author              
Affiliations:
11.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146025              
20 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146023              
31.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146027              
4External Organizations, ou_persistent22              

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 Abstract: The relationship between the length of day (LOD) and El-Niño Southern Oscillation (ENSO) has been well studied since the 1980s. LOD is the negative time-derivative of UT1-UTC, which is directly proportional to Earth Rotation Angle (ERA), one of the Earth Orientation Parameters (EOP). The EOP can be determined using Very Long Baseline Interferometry (VLBI), which is a space geodetic technique. In addition, satellite techniques such as the Global Navigation Satellite System (GNSS), Satellite Laser Ranging (SLR), Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) can provide Earth Rotation Parameters, i.e., polar motion and LOD. ENSO is a climate phenomenon occurring over the tropical eastern Pacific Ocean that mainly affects the tropics and the subtropics. Extreme ENSO events can cause extreme weather like flooding and droughts in many parts of the world. In this work, we investigated the effect of ENSO on the LOD from January 1979 to April 2022 using the wavelet coherence method. This method computes the coherence between the two non-stationary time-series in the time-frequency domain using the real-valued Morlet wavelet. We used the Multivariate ENSO index version 2 (MEI v.2) which is the most robust series as the climate index for the ENSO, and LOD time-series from IERS (EOP 14 C04 (IAU2000A)). We also used Oceanic Niño and Southern Oscillation index in this study for comparison. The results show strong coherence of 0.7 to 0.9 at major ENSO events for the periods 2–4 years between LOD and MEI.v2.

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 Dates: 2022-09-092023
 Publication Status: Finally published
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 Identifiers: DOI: 10.1007/1345_2022_167
GFZPOF: p4 T3 Restless Earth
GFZPOFWEITERE: p4 T2 Ocean and Cryosphere
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Title: Geodesy for a Sustainable Earth
Source Genre: Book
 Creator(s):
Freymueller , J. T.1, Editor
Sánchez, L.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Cham : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 253 - 258 Identifier: -

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Title: International Association of Geodesy Symposia
Source Genre: Series
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Pages: - Volume / Issue: 154 Sequence Number: - Start / End Page: - Identifier: -