Investigating the Relationship Between Length of Day and El-Niño Using Wavelet Coherence Method

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Shrishail Raut
  • Sadegh Modiri
  • Robert Heinkelmann
  • Kyriakos Balidakis
  • Santiago Belda
  • Chaiyaporn Kitpracha
  • Harald Schuh
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Details

Original languageEnglish
Title of host publicationGeodesy for a Sustainable Earth - Proceedings of the 2021 Scientific Assembly of the International Association of Geodesy
EditorsJeffrey T. Freymueller, Laura Sánchez
Pages253-258
Number of pages6
Publication statusPublished - 9 Sept 2022
Externally publishedYes

Publication series

NameInternational Association of Geodesy Symposia
Volume154
ISSN (Print)0939-9585
ISSN (electronic)2197-9359

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.

Keywords

    Climate, El-Niño, Geodesy, Length of day

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Investigating the Relationship Between Length of Day and El-Niño Using Wavelet Coherence Method. / Raut, Shrishail; Modiri, Sadegh; Heinkelmann, Robert et al.
Geodesy for a Sustainable Earth - Proceedings of the 2021 Scientific Assembly of the International Association of Geodesy. ed. / Jeffrey T. Freymueller; Laura Sánchez. 2022. p. 253-258 Chapter 167 (International Association of Geodesy Symposia; Vol. 154).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Raut, S, Modiri, S, Heinkelmann, R, Balidakis, K, Belda, S, Kitpracha, C & Schuh, H 2022, Investigating the Relationship Between Length of Day and El-Niño Using Wavelet Coherence Method. in JT Freymueller & L Sánchez (eds), Geodesy for a Sustainable Earth - Proceedings of the 2021 Scientific Assembly of the International Association of Geodesy., Chapter 167, International Association of Geodesy Symposia, vol. 154, pp. 253-258. https://doi.org/10.1007/1345_2022_167
Raut, S., Modiri, S., Heinkelmann, R., Balidakis, K., Belda, S., Kitpracha, C., & Schuh, H. (2022). Investigating the Relationship Between Length of Day and El-Niño Using Wavelet Coherence Method. In J. T. Freymueller, & L. Sánchez (Eds.), Geodesy for a Sustainable Earth - Proceedings of the 2021 Scientific Assembly of the International Association of Geodesy (pp. 253-258). Article Chapter 167 (International Association of Geodesy Symposia; Vol. 154). https://doi.org/10.1007/1345_2022_167
Raut S, Modiri S, Heinkelmann R, Balidakis K, Belda S, Kitpracha C et al. Investigating the Relationship Between Length of Day and El-Niño Using Wavelet Coherence Method. In Freymueller JT, Sánchez L, editors, Geodesy for a Sustainable Earth - Proceedings of the 2021 Scientific Assembly of the International Association of Geodesy. 2022. p. 253-258. Chapter 167. (International Association of Geodesy Symposia). doi: 10.1007/1345_2022_167
Raut, Shrishail ; Modiri, Sadegh ; Heinkelmann, Robert et al. / Investigating the Relationship Between Length of Day and El-Niño Using Wavelet Coherence Method. Geodesy for a Sustainable Earth - Proceedings of the 2021 Scientific Assembly of the International Association of Geodesy. editor / Jeffrey T. Freymueller ; Laura Sánchez. 2022. pp. 253-258 (International Association of Geodesy Symposia).
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AU - Raut, Shrishail

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AU - Heinkelmann, Robert

AU - Balidakis, Kyriakos

AU - Belda, Santiago

AU - Kitpracha, Chaiyaporn

AU - Schuh, Harald

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N2 - 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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